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Bioimpacts. 12(6):567-588. doi: 10.34172/bi.2022.23616

Review

Recent advances in electrochemical strategies for bacteria detection

Alireza Khoshroo 1, *ORCID logo, Maryamosadat Mavaei 2, Masoume Rostami 3, Bahare Valinezhad-Saghezi 3, Ali Fattahi 2, 4, *ORCID logo
1Nutrition Health Research center, Hamadan University of Medical Sciences, Hamadan, Iran
2Pharmaceutical Sciences Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
3Student Research Committe, Kermanshah University of Medical Sciences, Kermanshah, Iran
4Medical Biology Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
*Corresponding authors: Alireza Khoshroo, Email: khoshroo.a.r@gmail.com; Ali Fattahi, Email: a.fatahi.a@gmail.com

Abstract

Introduction: Bacterial infections have always been a major threat to public health and humans' life, and fast detection of bacteria in various samples is significant to provide early and effective treatments. Cell-culture protocols, as well-established methods, involve labor-intensive and complicated preparation steps. For overcoming this drawback, electrochemical methods may provide promising alternative tools for fast and reliable detection of bacterial infections.

Methods: Therefore, this review study was done to present an overview of different electrochemical strategy based on recognition elements for detection of bacteria in the studies published during 2015-2020. For this purpose, many references in the field were reviewed, and the review covered several issues, including (a) enzymes, (b) receptors, (c) antimicrobial peptides, (d) lectins, (e) redox-active metabolites, (f) aptamer, (g) bacteriophage, (h) antibody, and (i) molecularly imprinted polymers.

Results: Different analytical methods have developed are used to bacteria detection. However, most of these methods are highly time, and cost consuming, requiring trained personnel to perform the analysis. Among of these methods, electrochemical based methods are well accepted powerful tools for the detection of various analytes due to the inherent properties. Electrochemical sensors with different recognition elements can be used to design diagnostic system for bacterial infections. Recent studies have shown that electrochemical assay can provide promising reliable method for detection of bacteria.

Conclusion: In general, the field of bacterial detection by electrochemical sensors is continuously growing. It is believed that this field will focus on portable devices for detection of bacteria based on electrochemical methods. Development of these devices requires close collaboration of various disciplines, such as biology, electrochemistry, and biomaterial engineering.

Keywords: Bacterial infection, Electrochemical sensor, Rapid detection of infection, Bioreceptor, Bacteriophage

Copyright

© 2022 The Author(s).
This work is published by BioImpacts as an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.


Introduction

The presence of pathogenic bacteria in water, food, and environment around human beings ‎endangers their health, and the infections caused by them pose a significant threat of morbidity and mortality worldwide. Excessive and inappropriate use of antibiotics creates resistance and difficulty in treatment. 1 This is while progress in development of new antibiotics does not match the rise in risk of increasing resistance, and fewer options remain for physicians and health care specialists ‎for treatment of certain infections. 2,3 It is estimated that the annual mortality due to antimicrobial resistance will rise to 10 million cases worldwide by 2050. This problem has been addressed globally, where several countries are facing with emergence of bacteria that are entirely resistant to available antibiotics. Therefore, certain country-specific action plans have been prepared based on the worlds҆ action plan of the World Health Organization (WHO) to deal with ‎antimicrobial resistance. 4

The ability of most pathogenic bacteria to evolve quickly allows ‎them to be adapted and grow in various pH, temperature, and pressure conditions as well as a wide range of salt concentrations, which makes combating with them difficult. 4,5 Mycobacterium tuberculosis, Acinetobacter baumannii, Bacillus cereus, Brucella, and E. coli are only some of challenging bacterial species affecting humans҆ life. M. tuberculosis, causing development of tuberculosis, is a common airborne infectious microorganism leading to millions of ‎deaths each year worldwide with the highest mortality rate of 1.8 ‎million deaths. 5,6 Acinetobacter baumannii is a non-motile gram-negative member ‎of the Gammaproteobacteria. These microorganisms are responsible for some infections, i.e., bloodstream infections, wound infections, ventilator-acquired pneumonia, and urinary tract infections. 7,8 Bacillus cereus is a gram-positive bacillus that causes food-borne diseases, i.e., emetic and diarrheal syndromes. 9 Brucella bacteria are encapsulated gram-negative coccobacilli known to affect animals, such as bovines, camels, sheep, and goats. B. abortus, B. melitensis, B. canis, and B. suis are the primary Brucella bacteria capable of causing diseases in human beings. 10 The symptoms of these diseases include undulant fever, headache, chills, myalgia, and arthralgia. E. coli O157: H7 via foodborne poisoning and water pollution causes hemolytic uremic syndrome, colitis bleeding, and diarrhea.‎‎ 11 Therefore, there is a need for a simple method to detect bacteria so as to improve quality of life and ‎humans҆ health. Early detection of bacterial infections is essential for health care; it can prevent propagation of infections and antibiotic ‎resistance and help to choose right treatment for patients. 12-16 To this end, rapid, easy, cost-effective, and ‎accurate detection of infections and correct distinguishing between the infected and uninfected people have an enormous effect on controlling drug resistance. Conventional bacterial diagnosis ‎techniques, such as cell culture, colony counting, polymerase chain reaction (PCR), enzyme-linked immunosorbent assay (ELISA), and fluorescence-based technique, are inappropriate in this case because, they are labor-intensive and time-consuming and require sample preparation before analysis. 5,7 Furthermore, low concentration of bacteria, limit of detection (LOD) in the range of 10410-5 CFU/mL‏‎, is a ‎challenge for these methods. 4 In the recent years, ‎new methods have been applied based on electrochemical approaches to improve bacterial detection. 17-22 These methods have ‎received a great deal of attention due to their sensitivity, high selectivity, acceptable precision (5-7%), and fast analysis time (5-10 minutes). There is also no complicated pretreatment or high skill required for analysis. 21-23 The electrochemical sensor used in this regard is made up of three parts, including a recognition element on the sensing platform, ‎an effective transducer, and a digital signal processor (). The receptors ‎used in construction of electrochemical sensors are illustrated in .

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Fig. 1. Structure of an electrochemical sensor showing recognition element, interface, transducer and output signal.

The present study is a review study on strategies used for building sensors developed during 2015-2020. In this respect, there are references, including the studies by Majdinasab et al 24 who presented various aptasensors for detection of pathogenic bacteria in food samples, Richter et al 25 who reviewed different bacteriophage-based methods for bacterial detection, Amiri et al 26 who published a comprehensive overview of the current electrochemical methods used for detection of pathogens, and Kuss et al 27 who reported the recent advancements and challenges in electrochemical detection of pathogenic bacteria. This review study focuses on designing bacteria-detecting sensors based on recognition elements that have not been reviewed so far. For this purpose, many references in the field were reviewed, and the review covered several issues, including (a) enzymes, (b) receptors, (c) antimicrobial peptides, ‎(d) lectins, (e) redox-active metabolites, (f) aptamer, (g) ‎bacteriophage, (h) antibody, and (i) molecularly imprinted polymers. Explanation is provided for detection method in each case in the following.


Enzymes

Enzymes, as catalytic proteins, are common examples of biomarkers used in ‎enzymatic electrochemical biosensors for recognition of bacteria. 28 Enzymatic biosensors work‎ on the basis of reaction of an enzyme with its substrate so that, substrate is ‎metabolized by enzyme or inhibits enzymatic reaction. 29 Despite the ‎advantages offered by enzyme-based sensors, several restrictions are associated with their use. ‎Cost and instability of enzymes are a part of challenges in wide application of enzyme-modified assays. 28 For overcoming this problem, Mubarok et al, 30 developed a convenient, simple, and rapid electrochemical assay ‎to monitor neuraminidase activity in saliva, human blood, urine, and nasal swab samples. The assay was based on a ‎facile synthesized probe N-acetyl-2-O-(4-aminophenyl)-neuraminic acid (AP-Neu5Ac) as a non-‎protein substrate on sensing platform to determine neuraminidase activities. Thus, an electrochemical sensor was developed based on cleavage of the AP-Neu5Ac. Release of p-aminophenol, resulting from the neuraminidase-catalyzed hydrolysis of AP-Neu5Ac was followed using a differential pulse voltammetry (DPV) technique. The ‎developed sensor showed good sensitivity with a LOD of 5.6 ng/mL. The main advantage of the proposed method based on AP-Neu5Ac is its applicability in real samples. 30

More recently, enzymatic biosensors have been used to identify ‎foodborne pathogenic bacteria. The amperometric enzymatic biosensor developed by Huang ‎et al, 31 can detect Listeria monocytogenes and determine bacterial count and somatic cell count (SCC) in ‎raw milk. Bacterial infection was evaluated through bacterial count on the basis of changes in electroactive metabolites of ‎microorganisms. The signals resulting from lactate dehydrogenase (LDH) ‎activity were used to determine SCC. LDH, as an enzyme biomarker, can catalyze conversion ‎of lactate acid and NAD+ as substrates into pyruvic and NADH as electrochemical active ‎substances. Detection range was found to be from 102 to 108 CFU/mL within detection ‎time of 1–10 hours by amperometric technique. SCC detection could be performed from 350 to 780 thousand SCC/mL in about 60 seconds‎. 31

As a biomarker and endogen enzyme, β-galactosidase (β-gal) can be applied for detection of microorganisms by creating a clear signal. In their study, Tarditto et al 32 reported an ‎electrochemical magneto immunosensor to detect E. coli in swine feces. This immunosensor worked based on activity of β-‎gal to generate p-aminophenol (p-AP) from p-aminophenyl-β-D-galactopyranoside (p-APG). For this purpose, magnetic beads conjugated with enterotoxigenic E. coli polyclonal antibody (anti-ETEC F4) were used, and LOD of 33 ‎CFU/mL was obtained in less than 2 hours by square wave voltammetry (SWV) technique. ‎

Recently, an electrochemical sensor has been presented to detect of coliform bacteria on the food samples. This voltammetric sensor, reported by Badalyan et al, 33 is based on indirect sensing of β-gal activity which product by coliform bacteria. Detection range was found to be from 1.6 log10−6.6 log10 CFU/mL 1 for coliform bacteria. The screen-printed electrode (SPE) was modified with graphene and polyacrylamide gel (GR/PAAGC). In this study, 6-chloro-3-indoxyl-β-D-‎galactopyranoside (6-CIGP) was applied as a novel substrate to monitor electroactive 6,6′-dichloro-Indigo (6-DI) ‎generated by enzymatic reaction of 6-CIGP with ß-gal. β-‎gal product by coliform bacteria via lacZ gene. The sensor proved to have a detection limit of 0.1 log10 CFU/mL in 30 minutes by cyclic voltammetric (CV) technique.

Lightness, biocompatibility, user friendliness, and low cost of paper-based sensors have made them a top priority to ‎monitor bacteria through colorimetric analysis and electrochemical ‎sensing. 34,35 Adkins et al 36 evaluated enzyme activity in water and food ‎samples containing Enterococcus ssp. and E. coli using the printed carbon electrodes on transparency films. Production of β-glucuronidase and β- galactosidase by E. coli and expression of β-glucosidase by Enterococcus ssp. were tracked calorimetrically using a smartphone and a cardboard ‎box (). Alternatively, these bacterial enzymes could be directly detected ‎electrochemically. Limit of quantitation (LOQ) was as low as 10 CFU/mL for E. coli and 100 CFU/mL for E. faecalis ‎and E. faecium by SWV technique. The electrochemical method did not decrease ‎analysis time, but a comparison of that method with the colorimetric method in ‎terms of detection limits demonstrated superiority of the electrochemical method.

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Fig. 2. Reaction scheme showing the dual electrochemical and colorimetric detection of formed PNP from reacting bacterially produced β-glucr with PNPglucr. Reprinted with permission from Adkins et al.36 Copyright 2022 American Chemical Society.

Noh et al 37 designed an enzymatic biosensor to ‎detect E. coli. This system was established ‎through redox cycling of isopropyl-β-d-thiogalactopyranoside (IPTG) and permeabilization treatment simultaneously. The expression ‎level of ß-d-galactosidase (gal) was increased by IPTG treatment, and enzymatic reaction of gal substrate was facilitated by ‎permeabilization treatment. The electrochemical detection strategy had a high sensitivity with a LOD of 1.0 CFU/mLby chronocoulograms without a need for DNA amplification. 37

As mentioned before, enzyme-based biosensors have been developed to detect pathogenic bacteria, but some limitations exist in wide application of those biosensors, such as instability of enzymes especially after immobilization on a surface and high cost of protein production. 38,39

Receptor

Regarding the research on sensing, receptor proteins are alluring owing to ‎their generic “receiving functions” as well as “sending functions”. 40 They are also widely used for biosensing because of their high specificity and sensitivity. 28 Toll-like receptors (TLRs) are activated by a broad range of microbial ‎components called as pathogen-associated molecular patterns (PAMPs). These components include substances on outer membranes of bacterial walls (e.g., lipopolysaccharides (LPS), peptidoglycans, and lipopeptides), ‎bacterial flagellin, bacterial DNA, and viral RNA. 34,41,42 They are applied to detection of bacteria ‎because, they possess natural detection capabilities. 43 Unlike other ‎pathogen recognition elements, TLR protein has the specific potential to ‎carry out broad-spectrum detection of endotoxins. Utilizing a wide range of available ‎detection strategies can be a step to develop clinical assays for early warning ‎diagnosis and quick treatment. 44

In an attempt, She et al 44 designed an electrochemical response sensor based ‎on the interaction between TLR5 and bacterial flagellins to monitor endotoxins of ‎both gram-negative (S. typhimurium) and gram-positive (B. subtilis) bacterial strains with LOD of 0.1 ‎μM for each flagellin. Lipoic acid n-hydroxysuccinimide ester (LPA) was firstly modified on an ‎Au electrode. Then, TLR5 was immobilized on sensing surface via an amine ‎coupling reaction. The interaction of TLR5 with endotoxin could be evaluated ‎by electrochemical impedance spectroscopy (EIS) and voltammetry. ‎

In another study for detection of endotoxin, Amini et ‎al 45 used LPS as a recognition element. A complex of TLR4 and myeloid differentiation-2 ‎‎(MD-2) immobilized on a sensing platform was used to detect LPS from E. coli and ‎Salmonella. Modification of the electrode with TLR4/(MD-2) complex through Lip-NHS as a link ‎allowed detection of LPS from E. coli with a LOD of 1.3×10-4 EU/mL and ‎detection of LPS from Salmonella with a LOD of 1.5×10 -4 EU/mL by EIS tecnique. 45

Mayall et al 46 successfully designed a biosensor using the TLR4 protein to recognize macromolecular LPS and thus, to trace gram-negative bacteria. LOD was only 1 ng/mL. For the receptor biosensor, a self-assembled thiolated monolayer containing carboxylic acid and 11- mercaptoundecanoic acid (MUA) was employed. The COOH groups were activated via 1-Ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC)/ N-hydroxysuccinimide (NHS)/ 2-morpholinoethanesulfonic acid (MES), leading to formation of amide bonds. This allowed ‎tethering of nitrilotriacetic acid (NTA) to surface of the modified Au microelectrode. Then, the NTA ‎groups could be coordinated with Ni2+ ions. TLR-4 proteins were also tethered to Ni-NTA functional ‎groups. When the target LPS was added to the solution, electrode impedance was rapidly increased due to ‎dimerization of the TLR-4 proteins around macromolecular LPS. 46

The same authors reported a TLR-4 receptor sensor fabricated with various types of thiol sites that had different terminal functional groups immobilized on a gold surface (). In their study, Mayall et al sought to increase and improve signal magnitude and decrease detection time sensing of the sensor by employing a ‎redox-active functional group (ferrocenyl group). TLR-4 was immobilized on the electrode via interactions with a poly-histidine tag. In the presence of LPS (from lysed Gram-negative bacteria), the TLR-4 dimerized and blocked access of ferrocyanide in the solution to ferrocenyl-terminated thiols, thus increasing probe resistance. It was shown that the ferrocene-‎based biosensor would not respond selectively to gram-positive bacteria or viruses. Linear range of this sensor was 100-105 cells/mL based on impedance measurements for gram-negative bacteria. 47

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Fig. 3. Schematic representation of the proposed SAM design containing ferrocenylterminated thiols mixe with similar chain length carboxylic acid and hydroxyl-terminated thiols. Reprinted with permission from Mayall et al. 47 Copyright 2018 American Chemical Society.

Antimicrobial peptides

Antimicrobial peptides (AMPs) form another class of recognition components with a positive charge and are ‎composed of 12–50 amino acids with molecular weight of 1-5 kDa. Due to ‎their positive charge, AMPs are extremely specific for ‎pathogenic bacteria, allowing electrostatic interactions with ‎oppositely charged ‎components on membranes of bacteria. 26

The first application of AMPs in electrochemical sensors was reported by Manoor et al, 42 who used magainin I-immobilized interdigitated gold electrodes to detect E. coli O157:H7 and S. typhimurium. AMPs, as synthetic ‎biomolecules, are advantageous for bacterial sensing due to their ease of synthesis, ‎selective ‎binding to targets, and intrinsic stability. However, it is not possible to use AMPs for detection of bacterial strains in real ‎samples. Therefore, a great challenge with this bioreceptor is ‎achieving ‎sensitivity and especially, selectivity within different bacterial strains. 48-50

For AMP-modified biosensors, sensitivity can be finely improved and tuned by various ‎‎strategies. One of strategies for impedimetric sensors is fabrication of peptidic modulators. ‎‎Liu et al 51 developed a multi-domain peptide with the sequence of WK3 (QL) 6 K2 G3C for ‎‎sensitive bacterial detection. In detail, the peptide was immobilized on an Au platform via G3C to selectively detect S. epidermidis, E. coli, Staphylococcus ‎‎ aureus, and P. aeruginosa with a LOD of 102 CFU/mL by EIS technique. This platform had the potential for ‎‎differentiation and detection of living and dead bacteria. The excellent ability of AMP-modified sensors to detect bacteria was used in the study by Eissa and Zourob 52 to construct a dual colorimetric and electrochemical sensor of S. aureus protease. In this strategy, a gold sensing platform was modified with AMP magnetic nanoparticles, which produced black color of the electrode. When, S. aureus protease was added onto the sensing platform, peptide sequence cleavage and yellow color of the gold electrode appeared. In addition, current changed after peptide cleavage that was proportional to bacteria. LOD of 3.0 CFU/mLwas obtained by SWV technique after a minute.

Another strategy is the use of three-dimensional interdigitated electrode arrays (3D-IDEA) as platforms to improve sensitivity of transducers. This is made possible through separation of electrode digits with insulating barriers. Gil et al reported a similar technique implemented on 3D-IDEA platforms‎‎by impedance measurements. Hoyos-Nogués et al 53 focused on N-terminal domain of the ‎‎human antibacterial protein lactoferrin (LF), or hLF1-11 peptide. Via its N-terminus, the synthetic peptide hlf1-‎‎‎11 was immobilized on surface of 3D-IDEA modified with epoxy silane, and its ‎‎capacity to rapidly bind onto pathogenic Streptococcus sanguinis was evaluated by EIS. ‎‎LODs of 10 CFU/mL and 100 CFU/mL were obtained for S. sanguinis in KCl and saliva by EIS technique, respectively. The proposed device presents a promising tool for ‎‎periodontal implants in monitoring of infections.

Another strategy to improve sensitivity is signal amplification. There are ‎‎different signal amplifiers, such as carbon nanotubes, organometallic ‎‎compounds (e.g., ferrocene), metal/metal oxide nanoparticles, and magnetic ‎‎nanoparticles (MNPs). 54-56 In this regard, Wilson et al 57 used MNPs bioconjugated with ‎‎melittin (MLT) for bacterial separation. MLT, as a cationic amphipathic molecule, shows antimicrobial ‎‎properties against different microorganisms. They reported a sensitive method to ‎‎distinguish gram-positive from gram-negative bacteria, such as ‎‎E. coli, Salmonella typhimurium, and S. aureus in food samples. The proposed biosensors detected E. coli (LOD: 1 CFU/mL) by EIS technique within 25 minutes very efficiently. Furthermore, Andrade et al 58 introduced a detection assay ‎composed of carbon nanotubes and clavanin A (ClavA) to identify Enterococcus faecalis, ‎Klebsiella pneumoniae, Bacillus subtilis, and E. coli based on EIS measurements. This ‎nanostructured sensor showed a wide range of bacterial counts (102–106 CFU/mL). ‎Also, LOD of the biosensor was equal to 102 CFU/mLfor Klebsiella pneumonia and E. coli while, ‎B. subtilis and Enterococcus faecalis had a LOD of 103 CFU/mL. The results showed that ‎the proposed sensor can ‎ distinguish non-pathogenic bacteria from pathogenic ones as well as gram-negative ‎bacteria from gram-positive ones. 36 A few years later, the research group made a change in ‎detection system of E. coli, E. faecalis, P. aeruginosa, S. typhimurium, and S. aureus using the ‎same ClavA but, this time, it was conjugated to Au nanoparticles. This allowed a linear range of ‎detection from 101 to 104 CFU/mL. LOD of the AMP-based impedimetric sensor was equal to 103 CFU/mL. 59 The same authors modified electrode surface with ‎cysteine (Cys)/AuNPs/4-mercaptobenzoic acid (MBA) and then, bound it to ClavA. LOD of the heat-killed bacteria was equal to 103 CFU/mL by EIS technique. 60

Li et al reported a rapid impedimetric biosensor for detection of E. coli. 61 In this study, a combination of ferrocene and magainin I was immobilized on an Au ‎electrode. This modification led to LOD of 103 CFU/mL.‎ Zhang et al 62 also developed an electrochemical M. tuberculosis sensor based on two-dimensional Ti3C2 MXenes as a signal-amplifying ‎material.‎ The target biomarker and capture probe were 16S rDNA of bacteria and peptide nucleic acid, respectively. LOD was equal to 20 CFU/mL in 2 hours.

One of the methods for detection of multiplexed bacteria is using microfluidic ‎systems. Lillehoj et al 63 reported the use of a microfluidic chip modified and interdigitated with two ‎species-specific AMPs, including G10KHc and C16G2cys to detect multiple types of bacteria ‎‎(e.g., Streptococcus mutans and Pseudomonas aeruginosa). LOD of 105 CFU/mLwas calculated by EIS technique within 25 minutes for both strains of bacteria.

Lectins

In the category of biomarkers, lectins are the proteins that can be exploited to ‎specifically bind to bacterial carbohydrate chains. This biomolecule is used as a bimolecular glue to ‎immobilize proteins and as a molecular recognizer in biosensors. 45 Lectin molecules and carbohydrates in structure of bacteria can recognize each other. The main motivations for using ‎lectin as a sensing platform are its intrinsic stability, high sensitivity, good grafting, small size, ‎and cheap assembly process. 17

In this regard, for clinical applications, Estrela et al 64 reported a metal ‎oxide-based field-effect transistor (FET) sensor developed using an extended- ‎gate FET with an interdigitated metal oxide semiconductor (MOS) for detection of the ‎mannose-specific type 1 fimbriae of E. coli. The authors proposed an extended-gate FET system ‎immobilized with α-D-mannose to detect a label-free target E. coli strain ‎‎(i.e., uropathogenic E. coli called as UPEC). Using this device, LOQ was found to be 2 ‎‎× 105 CFU/mLby EIS technique within about only 2 seconds. The results showed that biologically-sensitive FET is capable of the initial discrimination between pathogenic and non-pathogenic ‎UPEC strains and also multiplexed screening.

Di Lorenzo et al 65 used a paper-based electrochemical device to detect bacteria up to 1.9 × 103 CFU/mLin a water sample by EIS technique. The paper-based electrode was constructed with carbon conductive ink on hydrophobic ‎paper. Then, carbon sensing platform was oxidized ‎electrochemically to generate COOH groups on carbon surface. These groups were activated with NHS/EDC to allow immobilization of lectin Con A as a carbohydrate-binding protein and biorecognition element. Con A ‎was chosen due to its potential to selectively link with mono- or oligo-saccharides on ‎bacterial cells. ‎

In 2016, Yang et al 66 designed a label-free Con A-based biosensor platform for rapid ‎identification of E. coli strains by EIS technique. Con A tended towards the target (E. coli) and ‎differentiated gram-negative bacteria from gram-positive ones. For the biosensor, a binary ‎monolayer was made with a combination of 11-mercaptoundecanoic acid and dithiothreitol on surface of an Au electrode and then, Con A was covalently immobilized. E. coli binding on the electrode was monitored with LOD of 75 CFU/mLin a ‎linear range of 1 × 102-1 × 105 CFU/mL.‎

A robust method of detecting bacterial endotoxin on a 3D-IDEA platform was ‎reported by pursuit of charge changes in surface of the platform. Changes in charge were induced by interaction of the ‎immobilized Con A and LPS as a ubiquitous marker in test solution. The ‎bacterial LPS was detected within 20 minutes. Screening LPS of E. coli binding by EIS changes yielded a ‎low LOD of 2 µg/mL. Brosel-Oliu‏ ‏et al 67 employed polyethylenimine (PEI) polycation as ‎an initial anchoring layer negatively charged at neutral pH. Then, ‎Con A was immobilized through deposition on the 3D-IDEA surface. For evaluation of capturing LPS with the PEI interface, several blocking strategies were ‎tried until a selective sensor response was gained between LPS and Con A. 67 A brief summary indicating some of the characteristics of representative the sensors covered in the review is presented in Table 1.

Table 1. Overview of sensors proposed for bacteria detection divided by the type of recognition elements
Analyte Recognition elements Detectionmethod Linear range / CFU/mL LOD CFU/mL Ref.
Listeria monocytogenesLDHAmperometry 102 to 108 - 30
E. coli β-galSWV 5 × 101 to 5 × 103 33 32
Coliformβ-galCV 1.6 log10−6.6 log10 0.1 log10 33
Enterococcus ssp. β-glucosidaseSWV-100
E. coli GlucuronidaseSWV-10 36
E. coli β-galChronocoulometry 1 to 106 1 32
Gram-negative bacteriaTLR-4EIS 102 to 105 - 47
E. coli PeptidesEIS 104 to 107 - 42
S. epidermidis PeptidesEIS 102 to 106 100 51
E. coli PeptidesEIS 102 to 106 100 51
Staphylococcus ‎‎ aureus PeptidesEIS 102 to 106 100 51
P. aeruginosa PeptidesEIS 102 to 106 100 51
S. aureus PeptideSWV 10 to 108 3 52
S. sanguinis PeptideEIS 102 to 100 10 53
E. coli MelittinEIS 1 to 106 1 57
S. aureus MelittinEIS 1 to 106 10 57
S. typhi melittinEIS 10 to 104 10 57
Enterococcus faecalis ‎ Clavanin AEIS 102 to 106 100 58
Klebsiella pneumoniae Clavanin AEIS 102 to 106 100 58
E. coli Clavanin AEIS 101 to 104 103 59
E. coli PeptideEIS 103 to 107 103 61
M. tuberculosis rDNA fragmentsEIS 102 to 108 20 62
Streptococcus mutans PeptideEIS 104 to 107 103 63
Pseudomonas aeruginosa ‎ PeptideEIS 104 to 107 103 63
E. coli Aminoethyl glycosidesEIS- 2 ‎‎× 105 64
BacteriaCon AEIS 103 to 106 1.9 × 103 65
E. coli Con AEIS 102 to 105 75 66

Redox-active bacterial metabolites

Another set of agents in the category of biomarkers are secondary metabolites as redox-active compounds. ‎Bacterial species depend on a broad range of factors, such as signaling molecules, signal detection ‎methods, and signal-transduction mechanisms, which can coordinate gene regulation. 68 Various pigments as secondary metabolites released by bacteria play ‎vital roles in pathogenesis of bacteria. These diagnostic bio-molecules and redox-active ‎biomarkers include integral components of bacterial quorum sensing (QS), small secondary ‎metabolites, and virulence factors associated with bacterial functions. 69 QS molecules in cell-to-cell communication process are the molecules that are involved in production and detection of diffusible signaling ‎molecules.

In this regard, 2-heptyl-4-hydroxyquinoline (HHQ), producing Pseudomonas quinolone signals (PQSs), can act as a potential diagnostic biomarker for specific detection of P. aeruginosa ‎‎(PA) in early-stage infections. It is also likely to prevent biofilm formation with well-timed medical treatment. One class of QS secondary metabolites and controlled extracellular factors is set for phenazine compounds, which are present in pyocyanin (PYO), phenazine-1-carboxylic acid ‎‎(PCA), 5-methylphenazine-1-carboxylic acid (5-MCA), and 1-phenazine-1-carboxamide (PCN). 70 PYO, as a redox-active material, is both a quorum sensing agent and an extracellular virulence factor for PA.‎‎ 71 Generation of several virulence factors by PA and other species is controlled by ‎cell-to-cell signaling mediated by QS molecules. PA also secretes secondary metabolites as ‎well as small molecules (2’-aminoacetophenone, 2AA) in a culture supernatant. 72 Indeed, ‎barakacin as a signaling molecule and pyoverdine (PVD) as a virulence factor serve as ‎biomarkers generated by PA. 73

Clinical diagnostic methods for positive detection and ‎determination of PA involve a time-consuming and expensive culture growth process. Therefore, certain standard laboratory redox-active biomarkers have recently been developed. ‎Electrochemical detection of PYO through transparent carbon ultramicroelectrode arrays (T-‎CUAs) was proposed by Stevenson et al. 74 Electro-active nature of PYO led to ‎electrochemical conversion of PYO at T-CUA using the voltammetric technique. Also, through SWV, the sensor could detect PYO with a LOD of 1-1.6 µM in a linear dynamic range of 1-250 µM.‎

In another report, 75 the same researchers detected some PYO secreted on T-CUAs in a biological ‎growth medium. In their previous study, they had conducted tests in a ‎buffer solution without growth media. Recognition of cellular PYO agents in biological growth ‎media indicated that bacterial species were exposed to a plethora of compounds (e.g., sugars and ‎proteins); when these compounds were adsorbed onto sensing platform, ‎they probably hindered signal of PYO agents. The authors concluded that their proposed technique ‎was a proper one to apply in studies of ‎biotoxins through T-CUAs. ‎

Inspired by the in-situ use of electrocatalytic current for bio-sensing, Yong et al 76 pioneered in introduction of a whole-cell electrochemical biosensor ‎based on S. oneidensis MR-1 cell as an electroactive type of bacteria and a proof and redox cycling ‎module for detection of PYO agents with obviously magnified detection signals. This system could achieve ‎ultrahigh sensitivity (1.3 μA/nM) and low LOD (47 pM) by CV technique. Redox reactivation/cycling ‎systems are applied as efficient tools to enhance electrochemical signals in sensitive detection of pathogens for recognition of PYO agents at the point of care (POC). ‎Also, electrochemical signal output can be significantly amplified by integration of biochemical ‎redox cycling systems to continuously regenerating target analytes. Although the CV technique is not readily adapted to a POC device, the speed and ease with which CV curves can be obtained make this detection method ideal for ensuring quality control when carrying out each step in the sensor surface modification procedure. Under ‎these premises, Yuan et al 77 reported an in-vivo two-way redox cycling system based on whole-cell bidirectional electron transfer for simultaneous recognition of two types of warfare toxins. This system provided the simultaneous use of lactate (as an electron donor) for reductive ‎cycling reactions and fumarate (as an electron acceptor) for oxidative cycling reactions. Using 1-hydroxyphenazine (OHP), PYO, and voltammetry as a ‎recognition method, ultrasensitive detection was done in the range of 304 ± 4 pM for PYO and 1.5 ± 0.2 nM for ‎OHP. The system showed a good linear concentration range of 0.5 - 50 nM ‎for PYO and OHP by CV technique. Also, good rates of sensitivity were achieved for PYO (1.85 μA/nM) and OHP (4.0 μA/nM). ‎

Electrochemical sensors for detection of PYO have been also reported by other researchers. For instance, Sismaet et al 78 studied production of a PYO target in the presence of various amino ‎acids (as regulatory molecules). In this trial, SWV response was improved due to the presence ‎of amino acids. They also performed SWV scanning of the PYO target using commercially available carbon-based electrodes linked to an Ag/AgCl reference. They proved able to ‎recognize differences in PYO production rates among the clinical strains obtained from various hospital ‎settings. 72 Bentley et al 79 proposed a novel bio-based redox capacitor film for detection of PYO. Chronocoulometry signals of PYO molecules were amplified by a catechol-‎grafted chitosan film, and LOD was lowered. The researchers designed a miniaturized electrochemical system and stabilized it inside a microdevice enclosed in a chip holder. ‎

Cristea et al 80 for the first time, integrated chemical finger-based ‎printed sensors onto a glove to simultaneously detect PVD and PYO derived from PA through the voltammetric method within 4 minutes (). The sensors ‎displayed linearity in the range of 5-50 µM for PVD and 0.01−0.1 µM for PYO, ‎sensitivity of 1.09 nA/µM for PVD and 2.51 µA/µM for PYO (R2 = 0.995 and 0.990‎, respectively), and LOD of 1.66 µM for PVD and 3.33 nM for PYO were also obtained by SWV technique.

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Fig. 4. Finger-based ‎printed sensors onto a glove (A) Screen-printed sensing glove: image of the real printed glove (A left, scale bar 3 cm) and the details of its electrodes design (A right, scale bar 1 cm). (B) Images of the on-glove swiping approach for sampling P. aeruginosa residues from furniture surfaces (B, left) and transmitting the data to a laptop (B, right). (C) SWV data recorded by the middle-finger, detecting PyoV (C, left) and by the index finger, identifying PyoC (C, right). Reprinted with permission from Ciui et al. 80 Copyright 2018 American Chemical Society.

There are different papers on simultaneous detection of PYO and ‎PQS. In this case, a sensor was applied with a conductive polymer film to increase electroactive ‎surface area. 81 In a later study, PA strains were grown on surface of the electrode to concentrate electrochemical signals of PQS and PYO. 82 Table 2 presents some electrochemical sensors developed for detection of redox-active compounds.

Table 2. electrochemical pathogen sensors based on the redox-active bacterial metabolites
Analyte Detection method Sensitivity LOD Linear range Ref.
PYOSWV19.1-267.0 µM0.13-1.81 µM1-100 µM 71
PYOAmperometry - 125 nM125 nM–100 μM 83
PYOCV-2µM2–100 µM 84
PYO
HHQ
PQS
DPV- 50 nM
250 nM
250 nM
2–100μM
2–75
2–100
68
PYO
HHQ
PQS
DPV- 2.06 µM
3.61 µM
4.85 µM

5 - 50 µM
85
BarakacinDPV-5, 100, 125, and 10 nM in different pH1–10 μM 70
IQS CV-46, 20 and 12 nM in different pH14, 12 and 15 μM 86
2-AA CV 4.86 mM 10 - 60 mM 87
PCACV-50 mM1.52 - 50.0 mM 88
PVD DPV0.14 µA/µM66.90 nM0.5 - 100 µM 73
PVDESI, DPV, CV0.076 µM0.33 μM1 - 100 μM 89
PVDDPV0.134 µM0.33 μM1–100 μM 90
PYODPV --5-50 μM 91
PYO
HHQ
PQS
2-AA
CV, SWV--- 69
PYOSWV 0.0234, 0.0841 and
0.0588 μA/μM respectively
0.17 μM, 0.15 μM and 0.09 μM in HS, BRB and SWF respectively0.183–20 μM, 0.336–10 μM, and 0.336–20 μM respectively 92
PYO
PCA
PCN
5-MCA
SWV-2.6 mM- 93

PYO, Pyocyanin; HHQ, 2-Heptyl-4(1H)-quinolone; PQS, Pseudomonas Quinolone Signal IQS, 2-(2-hydroxyphenyl)-thiazole-4-carbaldehyde; 2-AA, 2-aminoacetophenone; PCA,Phenazine-1-carboxylic acid; PVD, Pyoverdine; HS, human serum; BRB, Britton-Robinson buffer; SWF, simulated wound fluid; PCA, phenazine-1-carboxylic acid; PCN, phenazine-1-carboxamide; 5-MCA, 5-methylphenazine-1-carboxylic acid.


Aptamer

A single strand in a sequence of constitutive units of DNA or RNA is called as an aptamer. Favored for its selectivity and a low detection limit, it is immobilized on ‎electroactive materials, such as nanoparticles, magnetic particles, carbon-based nanomaterials, and nanofibers and is used for biorecognition of elements consisting of a DNA sequence. 94-96 Biosensors with aptamers, as a recognition element, are being developed for various infectious diseases, due to their rapidity, small dimensions, low cost, and compatibility with minimization assay scales. 97-99 Aptamers are easily modified due to the existence of abundant amine functional groups in their structures. Also, because of their unique spatial structure, they attach to targets, such as bacteria, drug molecules, ‎surface proteins of cells, and viruses. 100 An aptamer is considered advantageous for its high specificity ‎and easy synthesis. Regarding immunoassay development, production of antibodies ‎requires the use of animals, and a further disadvantage is that antibodies have a short ‎lifetime in a working environment or a storage position. For this reason, aptasensors are ‎used to prepare sensors in order to study elements, such as bacteria, viruses, and biomolecules. 101-104 A lot of studies have been done on aptasensors to detect bacteria. In 2018, ‎Shahrokhian et al 105 reported an electrochemical aptasensor based on Au ‎nanoparticles/carbon nanoparticles/cellulose nanofibers nanocomposite for impedimetric detection of S. aureus as a photogenic ‎bacterium. In that study, cellulose nanofibers were modified with carbon nanofibers to be used in modification of ‎electrodes, due to their properties, such as porosity, high surface area, and biocompatibility. Finally, Au ‎nanoparticles were used to increase ‎surface area and electrical conductivity of electrodes. Strong ‎binding of Au to a thiol group made it favorable for sensor assembly. The aptasensor ‎displayed linearity within the range of 1.2 × 101 -1.2 × 108 CFU/mL and LOD of 1 CFU/mL for S. aureus by EIS technique. Furthermore, the proposed sensor could detect Staphylococcus aureus in humans҆ blood serum ‎as a clinical sample with a complex matrix.

In another study by this group, an electrochemical ‎aptasensor was reported for detection of Salmonella typhimurium based on nanoporous gold. This aptasensor showed some significant advantages, such as the ability to distinguish ‎between living and dead bacterial cells and detect S. typhimurium in linear range of ‎‎6.5 × 102- 6.5 × 108 CFU/mL with LOQ of 6.5 × 101 CFU/mL and LOD of 1 CFU/mL by EIS technique.‎‎ 106

Au-based materials have been widely used for immobilization of aptamers via a thiol group to efficiently amplify electrochemical signals while maintaining biological activity. In this regard, Lai et al 100 used Au nanoholes on indium tin oxide (ITO) to identify S. aureus 16 sRNA. The Au nanoholes were formed through spin-coating of an AuNP solution on ITO covered with a monolayer of polystyrene to create a nanosphere lithography (NSL) patterned-ITO substrate. ‎Then, ‏a single strand of a thiolated oligonucleotide probe (ssHS probe for targeting S. aureus 16S rRNA) was immobilized on the electrode. Performance of the aptamer on the Au nanohole-modified ITO was studied to detect Staphylococcus aureus through ‎CV techniques. The Au-nanohole arrays could enhance electrochemical signals, compared to non-‎template AuNP structures, which improved DNA hybridization tracing by 23% with low LOD of 10 pM. Moreover, in the presence of non-‎complementary sequences, the proposed sensor showed high selectivity for distinguishing S. aureus 16 sRNA from E. ‎coli and PA.

McLamore et al 107 presented the functionalized ‎graphene-nitrocellulose paper with platinum nano-cauliflower to immobilize a thiolated 64-mer ‎RNA aptamer for ‏detection of E. coli O157:H7. This ‎aptasensor showed LOD of ≈4 CFU/mL for E. ‎coli O157:H7 by EIS technique. Abbaspour et al 108 developed a sensitive dual-aptamer-based sandwich immunosensor for detection of S. aureus. The sandwich ‎aptasensor was prepared from a primary biotinylated anti-S. aureus aptamer (on streptavidin-coated magnetic beads) and a secondary aptamer (on silver nanoparticles). ‎S. aureus was captured in a particular interaction with the ‎aptamer. Then, the sandwich system was completed by addition of secondary anti-S. aureus aptamer-conjugated AgNPs. Finally, the sandwich separated via a magnet was analyzed by differential pulse stripping voltammetric signals resulting from silver particles, which was proportional to the S. aureus. This ‎electrochemical sensor showed wide dynamic range of 10 to 106 CFU/mL with LOD of 1.0 CFU/mL.‎‏

Since, pathogen bacteria are menacing to humans҆ health, detection and treatment of bacterial infections is important. Antibiotic resistance is increased ‎if diagnosis and treatment of infectious diseases is prolonged. In this respect, Yoo et al 109 prepared an aptamer-functionalized capacitance sensor array to follow real-time ‎bacterial growth and antibiotic susceptibility. They cultured S. aureus and E. coli and observed the increased capacity in proliferation of bacteria. When the bacteria were exposed to certain MIC (the minimum inhibitory concentration) of antibiotic, capacity in ‎the capacitance sensor was decreased because the antibiotic prevented bacterial growth. 109 LOD was equal to 10 CFU/mL within an hour. Ozkan-Ariksoysal ‎et al 110 reported a genosensor based on DNA-wrapped multi-walled carbon nanotubes for detection of E. coli from PCR-amplified real samples. The capture probe was immobilized on carbon nanotubes and twisted on carbon nanotubes by π-stacking interactions. Then, chitosan was used to stabilize the designed sensor via covalent bonds ‎between amine group of chitosan and carboxyl groups on carbon nanotubes. This sensor had LOD of 17 nM with a linear section in the range of 7-12 µg/mL by DPV technique. Sheikh-‎Zeinoddin et al reported an electrochemical DNA sensor without PCR amplification of samples. 9 It was used to ‎detect B. cereus with LOD of 9.4 × 10-12 mol L -1 by EIS technique, which was better than those reported ‎for antigen-antibody and cell-based sensors. The sensing platform consisted of PGE-gold ‎nanoparticles self-assembled with single-stranded DNA of the nheA gene. An increase in charge transfer resistance in EIS technique due to hybridization ‎of the ssDNA with the target DNA served as an electrochemical signal. ‎In the same year, Gonzalez-Rodriguez et al 111 reported a sensitive ‎electrochemical DNA biosensor for detection of pathogenic Bacillus anthracis. Mercaptohexanol was used to backfill the electrode after DNA immobilization, thus regulating the probes҆ surface density. The sensor could detect DNA samples with LODs as low as 10 pM by CV technique and identify DNA of Bacillus anthracis. Heli et al 112 reported a sensitive biosensor based on gold nanoribbons ‎covered by gold nanoblooms, which emerged to be a dense p-ssDNA layer (). ‏MB could interact with ‎both ssDNA and dsDNA through different modes,including electrostatic ‎attractions and intercalation. Changes were recorded by the DPV method to produce ‎signals before and after hybridization of the DNA and ssDNA probes. The ‎biosensor showed a linear range from 10 zmol dm-3 to 10 pmol dm-3 and LOD of 1.71 zmol dm-3 for Brucella genome. In 2016, the same authors ‎published another paper, 10 entitled “An Ultrasensitive Electrochemical Genosensor for Brucella Based ‎on Palladium Nanoparticles”. The genosensor could detect complementary sequences and had a high sensitivity of ‎‎0.02 µA dm3 mol-1 to ‎detect brucellosis in real samples even without using PCR amplification. Linear concentration of the genosensor was from 1.0×10-12 to1.0×10-19 mol dm -3 with LOD of 2.7×10 -20 mol dm-3 by the DPV method. ‎

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Fig. 5. Fabrication protocol of the genosensor and detection of t-ssDNA. 112 (Creative Commons CC BY license).

In 2016, Bachmann et al 113 ‏conducted the first label-free and ‎amplification-free EIS-based detection of 16S ribosomal RNA (E. coli 16S rRNA). ‎The assay was a screen-printed dual gold electrode modified with thiol-peptide nucleic acid. LODs of the employed fluorescence-based microarray and the EIS assay were equal to 20 pM and 50 pM, respectively. However, a kinetic EIS assay ‎format allowed specific detection of E. coli 16S rRNA within 10 minutes. ‎

Hamidi-Asl et al 114 developed an aptasensor based on core-shell Ag@Au nanoparticles ‎for detection of E. coli cells. The nanoparticles were fixed on the electrode via cysteamine and then, a thiolated ‎aptamer was immobilized on the nanoparticles. This structure provided chemical stability and biocompatibility to stabilize the aptamer. The sensor also showed LOD of 90 CFU/mL‎while the LOD reported for this aptamer in the literature is equal to 370 CFU/mLby EIS method.

Pividori et al 115 designed an electrochemical genosensor ‎based on silica magnetic particles to detect Salmonella, Listeria, and E. coli‏.‏‎ For the first time, they used‏ silica MPs as a platform for DNA immobilization and obtained the tagged ‎amplified DNA by choosing gene targets, including the invA gene (tagged ‎with fluorescein) ‎for S. enterica, the prfA gene (tagged ‎with biotin) for L. ‎ monocytogenes, and the eaeA gene (tagged ‎with digoxigenin) for E. coli. The sensor could detect and distinguish 0.04, 0.13, and 0.05 ng/mL of ‏S. enterica, L. monocytogenes, and E. coli, respectively within 3 hours. In 2018, Tamand et al 116 developed an electrochemical DNA sensor based on core-shell cerium oxide nanorod@polypyrrole composite to detect Salmonella by EIS method. This ‎nanocomposite was synthesized by polymerization of pyrrole monomer on ‎cerium oxide nanorods. Then, an ssDNA sequence was immobilized on it. This ‎DNA-based sensor had a linear range of 0.01–0.4 nM with low LOD of 0.084 nM. Luo et al 117 used E. coli O157:H7 aptamer (apt-E) to construct an aptasensor based on aptamer-induced catalyzed hairpin assembly. In this method, signals were amplified using apt-E, hairpin H1, and H2. Concentration of E. coli O157:H7 was proportional to amount of apt-E, and apt-E, in turn, was proportional to amount of H1/H2 complexes. Thus, concentration of bacteria could be determined by detection of H1/H2 complexes with the fabricated aptasensor. LOD was equal to75 CFU/mLfor this aptasensor by electrophoretic method.


Bacteriophage

Bacteriophages were first investigated by Twort in 1915 and were studied later by Deherelle. 111 They are viruses attacking bacteria but do not affect eukaryotes. Each virus has its ‎bacteriophage. After this discovery, it was immediately used to eliminate bacterial ‎cells as a therapeutic agent against bacterial infections. Although, Deherelle used phages for ‎ treatment of dysentery in 1919, they were re-introduced 2 years later by ‎Bruynaghe Maising to treat staphylococci. 112 In the 1940s, bacteriophages were mostly ‎replaced by antibiotics, and then phage studies continued. Nowadays, they are used as suitable tools for ‎phage display vaccines in the field of biotechnology of biosensors and control factors. Phages are ‎encapsulated in DNA- or RNA -encapsulated proteins in various shapes.

In the recent years, ‎bacteriophages have emerged in electrochemistry as scaffolds and molds ‎for new electrode materials. They gain a natural ability to connect selectively to specific and ‎adaptive agents and to be incorporated into certain chemical applications through genetic modification. This has introduced various attractive topics ‎to the field of electrochemical research. Due to their ‎durability and ease of preparation, phages are widely used as diagnostic elements in biosensors ‎and scaffolds. The use of bacteriophages for sensing of bacteria ‎is very important because, they act in a specific way. 118

In 2013, Shabani et al 119 performed some magnetic manipulations to improve detection of ‎bacteria by EIS method. In this method, bacteriophage T4 coated with beads was ‎used specifically to detect and capture E. coli k12 cells. The biosensor was tested in real milk ‎samples. For capturing a high amount of bacteria in the sample, 2% milk was mixed with 108 CFU/mLofE. coli k12 elicited from milk. Surface modification of magnetic ‎beads by phages and bacterial attachment were confirmed in a fluorescence analysis. The fluorescein isothiocyanate ‎‎(FITC) and fluorescence labels serve to ensure binding of phages T4 to ‎magnetic beads.

Also, flow cytometry was conducted as a conventional method to check magnetic beads ‎and the phages coated on them. In another study, Tlili et al 120 designed a biosensor based on ‎T4 phages for identification and measurement of E. coli count from living cells of bacteria by EIS method (). The ‎sensor was used in two ways. The first one involved survival assays and tests and the ‎use of phages as diagnostic elements through free-labeled electrochemical impedance. The second ‎way was loop-mediated isothermal amplification (LAMP) to reinforce selectivity of the E. coli’s Tuf ‎gene. As the impedance results indicated, the E. coli bacteria could be detected rapidly ‎and accurately with LOD of 800 CFU/mLwhile well isolated from other types of E. coli bacteria even the dead ones. Overall, the aim of this study was screening in the shortest possible time. Integration of LAMP to modify the biosensor so as to sense phages in less than 1 hour helped to achieve this ‎goal.

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Fig. 6. Schematic representation of the T4-bacteriophage biosensors. (A) Cysteamine-assembly, (B) Activation with 1,4-dithiocyanate, (C) Immobilization of the T4 phage, (D) Capturing of the E. coli cells. (E) Detection method for E. coli based on the impedimetric/LAMP dual-response. Reprinted with permission from Tlili et al. 120 Copyright 2013 American Chemical Society.

In 2016, Moghtader et al 121 effectively diagnosed ‎pathogenic bacteria using bacteriophages and graphite electrodes decorated with gold ‎nanoparticles. In this study, EIS was used for rapid, inexpensive, and selective detection of pathogenic bacteria. The bacterium type studied was T4 ‎phage. Indeed, it served as a diagnostic probe. Also, ‎E. coli was studied as a target bacterium for T4 phage. The phages were absorbed onto the ‎electrode by simple incubation at room temperature, and rate of absorption was increased with an increase in charge-‎transfer resistance value (Rct). The increase in Rct value was due to the effect ‎of absorbing layers in the bacteria. In case of non-target bacteria, ‎conductivity was reduced significantly. Impedance measurements showed ‎that the electrode employed as an electrochemical device was fast, direct, and low-cost enough for detection of bacteria. In 2016, Wang et al 122 published a paper entitled "Macrophage-Based ‎Electrochemical Sensors", in which they evaluated toxicity of LPS in pathogens. They investigated LPS and showed that dose-dependent toxicity exists in mouse macrophages. ‎Electrochemical signals changed as concentration of [Ca+2] ions changed. In addition, a sensor was developed in ‎a simple mouse macrophage cell to detect LPS rapidly and ‎investigate the effect of its toxicity. Properties of MNPs facilitated ‎reuse of the sensor. The results showed a significant reduction in amount of LPS at a dose-dependent electrochemical ‎impedance rate in the range of 1-5 µg/mL. Value of impedance at various concentrations of LPS was between 1-50 ‎‎µg/mL with a LOD of 0.15 µg/mL. Impedance was correlated with concentration of ‎calcium in cells, indicating that calcium production occurs in cells after incubation, and its ‎presence on LPS induces an electrical signal. Another study was conducted in the same ‎year by Neha Bhardwaj et al, who investigated the immobilized-free graphene in bacteriophages for susceptibility ‎to Staphylococcus. The aim of study was designing a sensor for the family ‎of coagulase-negative Staphylococcus. This biosensor had a linear range ‎of 2-2.2 ×106 CFU/mL and a low LOD of 2 CFU/mL by EIS method. Response time was about 2 seconds. The sensor also proved to have advantages, such as long half-life of about 3 months, fine dimensions, ‎good coating, as well as being portable, disposable, and environmentally ‎friendly. Owing to its satisfactory test results with real samples, such as apple juice, application of the sensor can be extended to detect other pathogens. In 2017, Yan et al,‎ 123 conducted a study on natural origin of S. aureus-specific lytic ‎bacteriophage P-S. aureus-9. Bacteriophage of a water sample was used to perform specific ‎palaeomagnetic assembly and capture S. aureus in the sample. S. aureus cells were identified ‎by the horseradish peroxidase (HRP) label that interacted with protein A and the Fc region ‎of immunoglobulin (IgG) in a mouse.

The phage was mixed with magnetic beads, and S. aureus was linked ‎to the phage after the HRP-labeled goat anti-mouse IgG was added to the S. aureus-‎bacteriophage. Finally, absorbance value was found to be 450 nm. This device was ‎successfully used in real samples, such as phosphate-buffered saline (PBS) and apple juice. In another study by Zhang ‎et al, 11 phages were mixed with magnetic beads and were used for rapid detection of E. coli ‎O157:H7. Advantage of this study was application of natural phages for ‎preparation of phagomagnetic beads. Using this system in food samples was useful to ‎detect contamination. The purpose of working with a simple bacteriophage, such as O157-IOV-4 is removing (E. coli) O157:H1 contamination from water and purifying it. Finally, once the magnetic beads were produced in the presence of (E. coli) O157:H1, they ‎had the highest absorbance of 450 nm, compared to other bacteria. Zhou et al 124 ‎developed a new type of carbon nanotube-based biosensor for rapid identification of living ‎bacterial cells. In this regard, T2 Phage-based biosensors were used to diagnose E. coli. The T2 Phages ‎acted as biosensing elements covalently bonded to the functionalized carbon nanotubes on ‎the electrode surface. As fluorescence microscopy indicated, the immobilized T2 phage particles were highly capable of capturing bacteria. In this method, an electric field-induced (EFI) charge was used to ‎immobilize the bacteriophage onto surface of the modified electrode to detect E. coli. This sensor had a LOD of 103 CFU/mL by EIS method.

In 2020, Lee et al 125 developed a wild-type T4 bacteriophage sensor for detection of viable pathogenic bacteria. Capturing efficiency of the phages immobilized on sensing platform reached a maximum when the Debye length was comparable to the phage size. A low LOD of 14 ± 5 CFU/mLand a wide dynamic range of 1.9 × 101-1.9 × 108 CFU/ mL were obtained by DPV method. Furthermore, the electrochemical sensor modified with T4 bacteriophage proved to have the ability to distinguish viable and dead bacterial cells.


Antibody‎

‎Immunosensors are the devices working based on the interactions between antibodies and antigens on ‎a converter surface. 126-129 Either an antibody or an antigen can be considered as the species immobilized on a ‎sensing platform to detect an antigen or an antibody, respectively. 130 Antibodies are glycoproteins, referred ‎to as a heavy chain of the same Doppler peptides, and two smaller identical polypeptides, called as a ‎light chain. Protein chains are connected by disulfide bonds to form heavy chains. Amino-terminal pairs of heavy chains and light ‎chains provide bonds to antigens. Antibodies are a group of functional ‎glycoproteins produced in response to a foreign body in human and animal serums. ‎Immobilized antibodies create immune responses through certain steps; so that, they bind to ‎antigens, prevent them from binding to target cells,and cover them so that immune system can identify ‎and destroy them.

Viswanathana et al 131 reported an electrochemical immunosensor based on a metal sulfide ‎and multi-walled carbon nanotube poly(allylamine) to simultaneously detect pathogens in foods. This electrochemical immunosensor consisted of three antibodies (i.e., E. coli-CdS, Campylobacter-PbS, and Salmonella-CuS) immobilized on a specific ‎nanocrystal with releasable metal ‎ions. Corresponding non-overlapping curves were obtained by electrochemical measurements. Multi-walled carbon nanotubes ‎improve electrochemical performance of substrates in reactions and increase sensitivity ‎and detection of multiple bacteria. This type of sensors is used to control quality of food, although ‎valid laboratory tests are required to determine its sensitivity and diagnostic properties. 131 ‏Over the last few years, various nanoparticles have been used to enhance performance of electrochemical sensors. 132-135 Xiang et al 136 used bio-compatible nanocomposites to detect Salmonella. In this study, chitosan and GNPs were mixed ‎up to improve performance of a film of gold composite. As a result, a linear range of 10-105 CFU/mL and a ‎LOD of 5 CFU/mL were achieved by DPV method. Also, the immunosensor provided satisfactory results in detection of Salmonella in ‎real-life samples. ‎ In 2016, Marion et al 137 used silica nanoparticles to connect ‎antibodies and a poly-electrolyte layer. They manufactured a miniaturized electrochemical ‎biosensor (lab-on-a-chip device) to detect and degrade E. coli. Detection of E. coli cells will finally be estimated through CV and quartz crystal microbalance (QCM) measurements. Farka ‎et al 138 used a specific antibody on a screen-printed electrodes activated with a cysteamine monolayer. Microbial cells were treated ‎by sonication and heat, and the effect of treatment was studied by atomic force ‎microscopy (AFM). Wide linear response was obtained in the range between 103-108 CFU/mL by EIS method. Around the same time, Altintas et al 139 reported a microfluidic-based ‎electrochemical sensor for detection of pathogenic bacteria. Integration and electrical ‎connections of microfluidic materials are a great challenge in the field of designing and manufacturing ‎sensors. Concentration range of detection was between 0.99 × 104 - 3.98 × 109 ‎ CFU/mL. This sensor was used to determine E. coli ‎in water through functionalization of its AuNPs. In 2015, Xinai et al 140 studied an amplified ‎immunoassay for E. coli in dairy products using the ‎functionalized gold nanorod-based labels. In this diagnostic method, rapid response time and high ‎sensitivity was achieved by DPV method. In another study, Zhong‎‏ ‏et al 141 described application of ‎cadmium sulfide quantum dots (CdS QDs)-encapsulated metal-organic frameworks as signal-‎amplifying tags for ultrasensitive electrochemical detection of E. coli O157:H7. In optimal conditions, they achieved a linear range of 108 CFU/mL and a LOD of 3 ‎CFU/mLfor E. coli by DPV method. This method has not been investigated for other immune ‎sensors‏ yet. In 2016,‎‏ ‏Krithiga et al 142 reported application of an immunosensor to detect ‎PA in water. Monoclonal antibody immobilized on surface of the sensor was ‎modified with CCLP (calcium cross -linked pectin) and gold nanoparticles. Detection range of 101-107 CFU/mLand LOD of 9 CFU/mLwere calculated by linear sweep voltammetry (LSV) method.

In the series of studies on biosensors, the ‎principle of G-EFT (graphene FETs) was first established by ‎Mao et al. 143 On the basis of this principle, bonding of probes and target proteins can significantly change electrical conductivity of sensors (). For detection of E. coli with ‎such devices vertically-oriented‏ ‏graphene (VG) sheets are directly grown on sensing platforms through the plasma-enhanced chemical vapor deposition (PECVD) method. These sheets function as a sensing ‎channel. Sensitivity of this type of biosensors was found to be 2 ng/mL.

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Fig. 7. Schematic of the VG FET sensor by direct growth of VG between the drain and the source electrodes. Probe antibody is labeled to the VG surface through Au NPs.

Following this method, in 2016, ‎Wu et al 144 reported the use of the G-EFT principle for detection of E. coli. Maria et al 145 used an electrochemical magnetic microbeads-based sensing platform for POC diagnosis of brucellosis in human beings and animals. An antigen-coated magnetic ‎microsphere was used as a solid support phase for detection of biomolecules, such as antibodies, ‎peptides, and proteins. On this platform, there were supermagnetic micro-toads coated with ‎antigens, which were then used with HRP-conjugated antibodies. Also, electrochemical scans were performed on 8-‎channel cell-electrode cartridges with potentiometric acetate. This system allows detection ‎of many pathogenic microorganisms like parasitic protozoa, bacteria, and viruses in the shortest ‎time and lowest cost. In 2016, Wang et al 146 reported an electrochemical sensor for detection of Salmonella using a ‎redox cycling-based electrochemical method. Antibodies were immobilized on magnetic beads and were used to separate Salmonella from real samples. ‎LOD was equal to 7.6 × 102 CFU/mLand 10 CFU/mL,which was calculated by choronocoulograms. In another study, 147 magnetic beads modified with anti-Salmonella antibodies were used to ‎separate Salmonella from a saline buffer and agricultural water. The sensing platform was a screen-printed carbon electrode ‎modified with Au nanoparticle-RGO and magnetite beads. ‎First S. pullorum antibody was added to magnetic beads coated with silica and then, reaction was done by reduction of chloroauric acid and graphene oxide. LOD of 89 CFU/mLwas calculated by DPV method.

Along the same lines, an electrochemical sensor was used to quickly detect E. coli O157:H7 in pure culture media and food samples based on bifunctional ‎glucose oxidase-polydopamine nanocomposites and Prussian blue. LODs within an hour were obtained as 52 and 190 CFU/mL by amperometric detection in the culture media and food samples, respectively. This sensor needed just a short detection time with a low LOD value owing to efficient amplification with the bifunctional composite. 148 ‏In 2014, this bacterium was again diagnosed ‎with another modified electrode. An attempt 149 was made for sensitive detection of bacteria using an electrode modified with sulfonated graphene poly-(3,4-‎ethylenedioxythiophene) gold nanoparticles (SG-PEDOT-AuNPs). ‏This antibody has ‎immunodeficiency properties, which increase connectivity and the ability to select ‎biosensors. With a LOD of 3.4‎‏× ‏‎10 CFU/mL, the tests were conducted in real ‎samples, such as milk and spring water by DPV method. The electrode proved to have a good selectivity for E. coli 0157:H7.

In 2018, Tufa et al 150 reported a ‎biosensor for detection of TB with Fe3O4 nanoparticle and AgNO3. A core-shell structure with graphene quantum dot (GQD) was used to enhance performance of the biosensor. Gold nanoparticles were conjugated to the CPE antibody to amplify signal. These layers had three different roles; AgNO3 ‎ was used to increase conductivity, Fe3O4 NPs were used to increase surface-to-volume ratio, and GQD was used ‎to load CFP-10 antibody. Jasim et al 151 used microfluidic-‎based biosensors to detect low levels of Salmonella in poultry and fresh products. This method ‎ actually intended to simultaneously detect multiple Salmonella serotypes with high sensitivity and ‎determine sensitivity of the antibody-antigen binding process; this bond is an indication of ‎change in impedance and the presence of bacteria. The microfluidic device consisted of three micro‎channels, each of which contained a site for a high concentration of Salmonella cells and was used for ‎positive electrophoresis. The biosensor could also eliminate false-positive results. The sensing spot of ‎ bacteria contained an electrode array of 10 finger pairs. ‏


Molecularly imprinted ‎polymers

A rather different approach for monitoring pathogenic bacteria is entrapment of ‎bacteria itself or bacterial recognition ligands in sol-gel and polymer phases or matrixes referred to as molecularly imprinted ‎polymers (MIPs). Indeed, this system is nothing but an artificial receptor ligand. 26 To ‎date, MIPs, as recognition elements, have been resistant to degradation and inactivation. Also, as ‎artificial receptors, they have attracted enormous interest owing to significant advantages, such as predictability of structure, recognition specificity, and application universality. 26,152 Some researchers ‎have used MIPs for electrochemical monitoring of pathogens. 153-157 Microorganism imprinting offers certain advantages for pathogen detection, including simplicity, ‎rapidity, excellent stability, high selectivity, eco-friendliness,and low cost.‎‎ 158 The first attempt for microorganism imprinting was made by Dickert’s team in 2001 159 using yeast as a ‎template molecule via surface imprinting of polyurethane, which was considered as a salient application of MIPs. ‎

Khan et al 160 offered an approach for detecting protein A ‎‎(PA) from S. aureus by EIS method with a LOD and a recovery factor of 16.83 nM and 91.1 ± 6.6%, respectively. The imprinted polymers were assembled on a film of single-walled carbon nanotubes (SWCNTs)-SPEs. Synthesis of ‎ MIP materials took place via 3-aminophenol electropolymerized with the trapped target molecules and a ‎protein template (PA) on surface of SWCNTs-SPEs using CV. The PA biomolecules were ‎entrapped in polymeric layers and were digested by proteolytic activity of ‎proteinase K. They were subsequently removed from surface polymer to create vacant places.

Some bacteria, e.g., Proteus mirabilis, have flagellar fragments as markers located on their ‎outer surface. Khan et al 161 employed SWCNTs-SPEs with a homemade carbon-‎printed electrode. The electrode printing was done by coating of a filter paper with hydrophobic paraffin wax ‎and manual printing of the formed electrodes with carbon ink. Some artificial receptors were ‎formed on this platform using polyphenol mixed with flagellar fragments as template ‎molecules. LOD of the platform was equal to 0.7 ng/mL and 0.9 ng/mL, which was calculated through the EIS and SWV ‎methods, respectively. There was also a negligible interference from flagellar filaments or globular ‎proteins of other bacteria.

Some bacteria, such as Bacillus anthracis are able to survive in harsh conditions and ‎generate endospores when they undergo environmental stress. On this basis, Lahcen et al 162 produced a sensing platform on ‎a carbon paste electrode to discover Bacillus cereus spores. This system was based on the use of MIPs, polypyrrole as a conducting ‎polymer and a certain amount of B. cereus spores as a template. The ‎platform showed concentration range of 102-105 CFU/mL by CV method. In 2016, an ‎electrochemical method was used to detect protein levels of bacteria. In this study, an MIP ‎was used to indirectly detect bacteria by targeting their outer membrane protein. For this purpose, ‎the protein A was placed on outer surface of S. aureus directly on SWCNTs. The nanotubes were also laid on a film pressed on a printed electrode ‎plate. Efficiency of the electrode was investigated through EIS. This biosensor had a ‎low LOD (16.83 nM) and a low cost. 160

Jiang et al 163 fabricated an economical sensing platform for synthesis of magnetic ‎MIP so as to quantify the Gram-negative bacterial quorum signaling ‎molecule N-acyl homoserine-lactones (AHLs). The assay was formed on an amino group-‎functionalized Fe3O4@SiO2 surface, and AHLs were absorbed into cavities through connecting ‎sites of MIPs. The platform could detect oxidative current of AHLs via DPV in the ‎range of 2.5 -100 nM and with a LOD lower than 0.8 nM.‎

Golabi et al 164 utilizing cell-imprinted polymers (CIPs) as recognition ‎receptors successfully fabricated an aminophenylboronic acid (3-APBA)-‎based CIP for detection of bacterial cells. The boronic acids҆ functional ‎groups in the 3-APBA monomers, with their ability to reversibly and specifically attach and ‎interact with cis-diol-containing molecules, allowed creation of a polymeric matrix that had ‎both chemical and morphological recognition abilities. This matrix could facilitate release of ‎the entrapped bacterial cell templates and then regenerate the CIPs. The researchers used S. epidermidis as a target and the EIS method for measurements. They gained detection range ‎of 103-107 CFU/mL.

Mugo et al 165 also reported an imprinted polymer electrochemical sensor for detection of E. coli. The sensing platform was based on layer-by-layer assembly of multi-walled carbon nanotubes, or nanocellulose films, integrated with poly (aniline)-doped phenylboronic acid. A pathogen-imprinted polymer layer was coated on the prepared films. The proposed sensor exhibited a low LOD for detection of E. coli (8.7 ± 0.5 CFU/mL) and a rapid response of ≤ 5 minutes by CV technique.

Idil et al 166 designed and employed a type of sensor chips to monitor E. coli ‎cells. The chips were based on a combination of capacitive biosensing approach and micro-contact imprinting ‎methodology. An imprinted substrate was prepared using an amino acid-based biorecognition ‎site and a mixture of monomers and cross-linkers under UV-polymerization. The real-time monitoring of ‎E. coli was conducted within the range of 102-107 CFU/mL. Also, a LOD of 70 CFU/mL was obtained in spiked apple juice and river water samples.

Chen et al 167 proposed a novel electrochemiluminescence (ECL) biosensor to monitor E. coli ‎O157:H7. Dopamine was electropolymerized to produce an N-‎GQDs/polydopamine film on surface of an electrode and then, immobilization was performed with the E. coli ‎O157:H7 cells as a template on polydopamine film in electropolymerization step. Finally, a surface-imprinted polymer was extracted. The captured target molecules, i.e., E. coli ‎O157:H7 cells, were labeled with N-GQDs antibody, and LOD of 8 CFU/mLwas achieved for the E. coli O157:H7 cells. There was also a linear relationship between the E. coli O157:H7 cells and ECL intensity of ‎GQDs from 10 to 107 CFU/mL.‎ In another recent work, Wu et al 168 selected E. coli O157:H7 as target bacteria and transferred them onto a polypyrrole layer on surface of an electrode (). Since, the layer was ‎conductive; they monitored binding of the target bacteria through EIS. The impedimetric sensor measured the target in drinking water, milk, and apple juice samples. The sensor displayed a ‎recovery range from 96 to 107.9%, with relative standard derivations (RSDs) less than 4% and a LOD of about 103 CFU/mL within an hour.

bi-12-567-g008
Fig. 8. Schematic illustration showing the construction of BIP film based sensor for E. coli O157:H7 detection. Reprinted with permission from Wu et al. 168 Copyright 2018 American Chemical Society.

Jafari et al 169 reported an impedimetric ‎sensor to recognize E. coli cells (E. coli UTI89) using artificial receptors. In that study, imprinting ‎of the cells as templates with a rod-shaped morphology was done using thin sol-gel films ‎of organically modified inorganic silica coated on gold electrodes. These imprinted sites had ‎complementary cavities to identify the target bacterial species; thus, high binding affinity ‎was achieved. The biosensor showed a linear range of 1×101- 1×104 CFU/mL and a LOD below than 1 CFU/mLby EIS method. ‎A brief summary indicating some of the characteristics of representative the sensors covered in the aptamer, bacteriophage, antibody and MIP sections are presented in Table 3.

Table 3. Overview of sensors proposed for bacteria detection divided by the type of recognition elements
Analyte Recognition elements Detection method Linear range/CFU/mL LOD CFU/mL Ref.
S. aureus AptamerEIS 12 to 1.2 × 108 1 105
S. typhimurium AptamerEIS ‎‎6.5 × 102to 6.5 × 108 1 106
E. coli RNA aptamerEIS 4 to 105 4 107
S. aureus AptamerDPV 10 to 106 1 108
E. coli AptamerEIS 100 to 105 90 114
E. coli Phage T4EIS 103 to 108 103 119
E. coli Phage T4EIS 104 to 107 800 120
E. coli Phage T4EIS 102 to 106 100 121
Staphylococcus BacteriophageEIS 2 to 2.2 ×106 2 170
E. coli T2 phageEIS 103 to 107 103 124
E. coli Phage T4DPV 19 to 1.9 × 108 14 125
Salmonella Antibody ‎DPV 10 to 105 5 136
Salmonella AntibodyEIS 103 to 108 103 138
E. coli Antibody ‎CV 0.99 × 104 to 3.98 × 109 50 139
E. coli Antibody ‎DPV 3 to 108 3 141
P. aeruginosa AntibodyLSV 101 to 107 9 142
Salmonella AntibodyChoronocoulometry 0.4 × 102 to 4 × 105 7.6 × 102 146
Salmonella AntibodyDPV 102 to 106 89 147
E. coli AntibodyAmperometry 102 to 106 52 148
E. coli Antibody ‎DPV 78 to 7.8 × 106 3.4‎‏× ‏‎10 149
Salmonella Antibody ‎EIS-7 151
B. cereus MIPCV 102 to 105 - 162
E. coli MIPCV-8.7 165
E. coli MIPCV 102 to 107 70 166
E. coli MIPEIS 103 to 108 103 168
E. coli MIPEIS 10 to 104 1 169
Review Highlights

What is the current knowledge?

Previous reviews on this topic covered modification and strategies to develop electrochemical sensor for bacteria.

What is new here?

This review presents ‎an overview of different recognition elements on an electrochemical diagnostic for bacteria.


Concluding Remarks

Bacterial infections pose important threats to public health and ‎humans҆ life. Ttraditional techniques for detection of bacteria are ‎labor-intensive and time-consuming. For overcoming these limitations, ‎electrochemical methods can serve as appropriate ways of detecting bacteria rapidly ‎and sensitively. The great versatility presented by such methods is based on wide range of biosensor designs and their various applications. However, several issues, including reproducibility and working stability remain to be solved. Addressing these technical problems will allow electrochemical sensors to become reliable tools for rapid diagnosis of bacteria in various samples. Detection limits at the level of 1 to 103 CFU/mL for various bacteriawere achieved by electrochemical sensors, which, in general, are below the maximum accepted level by the WHO. In general, the field of bacterial detection by electrochemical sensors is continuously growing. It is believed that this field will focus on portable devices for detection of bacteria based on electrochemical methods. Development of these devices requires close collaboration of various disciplines, such as biology, electrochemistry, and biomaterial engineering. Furthermore, the emerging technologies of lab-on-chip devices offer opportunities for the development of commercial sensors. Commercial analytical devices have, small size and simple construction that made them perfect for point-of-care sensing. How to simply and successfully decrease size without affecting their performance, has become a critical step.


Acknowledgments

The authors gratefully acknowledge the Research Council of Kermanshah University of Medical Sciences for financial support.


Funding sources

No special funding received for the study.


Ethical statement

The present article presents no study with human participants or animals performed by any of the authors.


Competing interests

The authors declare no conflict of interest.


Authors’ contribution

AK and AF developed the concept and designed the study. All authors contributed to the reviewed the data‎, extracted the data and writing of the final version of the manuscript. All authors read and approved the final manuscript.


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Submitted: 12 Jan 2021
Revised: 20 Feb 2022
Accepted: 05 Apr 2022
First published online: 29 Oct 2022
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