Abstract
At present, the prevalence of infectious diseases is rising annually, making it an important risk factor for human health that should not be neglected. Consequently, infection control and prevention have become even more important. The key to determining and designing the most effective anti-infectious medication depends upon the immediate and accurate identification of the causative agent. The standard techniques used for routine infection screening and surveillance tests are shifting toward biosensors. Furthermore, biosensors are projected to be employed for microbiological detection to satisfy the higher accuracy required for clinical diagnosis. This is because of their compact size, real-time monitoring and ability to analyze large sample numbers with less sophistication and manpower requirement, which have allowed them to develop quickly with extensive uses. Biosensors have multiple applications in food safety, environmental surveillance, drug sensing and national security because they offer several advantages such as quick response, outstanding sensitivity, remarkable selectivity, high degree of accuracy and precision, ease of use and affordable price. This review highlights the performance aspects of recently developed biosensors for the detection of infectious bacteria and viruses in biological and environmental samples and emphasizes the significance of nanotechnology in signal amplification for enhanced biosensor performance and dependability.
Keywords: : biosensing, diagnosis, nanoparticle, nanotechnology, real-time detection
Plain Language Summary
Biosensors are special tools used to identify bacteria and viruses in environmental and clinical samples. They work quickly and are simple to operate, so can be used at home or in small clinics. One of the best things about biosensors is that they are very sensitive, which means they can find even small numbers of infectious bacteria or viruses before disease symptoms appear. Early identification of such infectious agents can stop the spread of the illness. Biosensors are becoming compact, less costly and simpler to use. This makes them a useful tool for communities that do not have straightforward access to healthcare. In short, biosensors are very useful because they allow people to find infections rapidly so that treatment can be started sooner.
Plain language summary
Article highlights.
Biosensors offer rapid pathogen detection often in minutes allowing for timely medical attention.
Biosensors can detect pathogens at much lower concentrations than traditional methods.
Biosensors are increasingly being used for continuous monitoring of pathogens, providing real-time data for better management of disease outbreaks and environmental contamination.
In this review various biosensors developed for the detection of bacteria and viruses are discussed along with challenges in their development and future prospects.
1. Introduction
The increased demand brought on by population expansion and industrial development has made water shortages a significant problem during the past few decades [1]. Due to the scarcity of freshwater bodies, people all around the world are forced to rely on alternative water sources generated by applying various water purification techniques such as desalination, industrial water treatment, etc. to fulfill the need for freshwater for consumption as well as other applications. However, it poses a risk of water-mediated transmission of infectious agents [2]. Apart from the increase in population, factors such as habitat invasion, overseas travel and commercialization are also other factors resulting in the transmission of novel infections that may present a risk to overall population health [3]. Along with microorganisms and other organic matter, heavy metals and synthetic chemicals have increased in the environment as major pollutants [4].
The increase in pollution necessitates ongoing research and development in the field of detection and identification of pathogens from environmental and clinical samples [5]. There are multiple types of pathogenic microbes found in environmental and clinical samples; however, bacteria predominate in mass and diversity [6]. Some of the potential pathogenic bacteria include species of Pseudomonas, Mycobacterium, Escherichia, Corynebacterium, Salmonella, Vibrio, Yersinia, Legionella, Klebsiella, Bacillus, Clostridium, Listeria, Enterococcus, Heliobacter, Campylobacter, Neoehrlichia, Alloscardovia, Waddlia, Parachlamydia, Actinobaculum, Simkania, Aerococcus and Bartonella [7]. They have led to the development of severe clinical manifestations such as diphtheria, diarrhea, meningitis, pneumonia, liver abscess, typhoid fever, cholera, gastrointestinal syndromes, urinary tract infections, nosocomial infections, anthrax, botulism, bacteremia, listeriosis, leptospirosis, infective endocarditis, neoehrlichiosis and miscarriages. They are also sometimes associated with onchocerciasis and lymphatic filariasis [8,9]. Table 1 represents the summary of various pathogenic bacterial species found in environmental and clinical samples with their associated diseases.
Table 1.
List of potential pathogenic bacteria found in environment and clinical samples.
| Class | Genera | Pathogenic species | Virulence factor | Disease-associated | Ref. |
|---|---|---|---|---|---|
| Actinobacteria | Corynebacterium | C. diphtheria and C. jeikeium | Adherence, toxins formation | Diphtheria and nosocomial infections | [10] |
| Gammaproteobacteria | Escherichia | Enterotoxigenic, enteroinvasive, enteropathogenic, enterohemorrhagic, enteroaggregative, diffusely adherent, uropathogenic E. coli | Adherence ability, toxin, protease, iron uptake, invasion, transportation system | Diarrhea, urinary tract infections, bacteremia, sepsis, meningitis, pelvic infection and abdominal infection | [11] |
| Klebsiella | K. pneumoniae, K. oxytoca | Adherence, capsule formation | Pneumoniae, liver abscess | [12] | |
| Legionella | L. pneumophila | Adherence, endotoxins, enzymes, iron uptake | Legionnaires’ disease, nonpneumonic Pontiac fever | [13] | |
| Pseudomonas | Pseudomonas aeruginosa | Adherence, antiphagocytosis, iron uptake | septic shock due to infectious wound and eye infection. Infection of the lung leading to cystic fibrosis. | [14] | |
| Salmonella | S. typhimurium, S. typhi, S. dublin, S. enteritidis, S. virchow, S. hadar, S. anatum, S. bongori | Surface attachment, immune evasion, magnesium uptake | Gastroenteritis, typhoid fever | [15] | |
| Vibrio | V. cholerae | Adherence, regulation, secretion system, toxin | Cholera | [16] | |
| Yersinia | Y. pestis, Y. enterocolitica, Y. pseudotuberculosis | Adherence, capsule formation, Invasion, Uptake of iron, plasminogen activation | Plague, gastroenteritis, mesenteric adenitis and lymphadenitis | [17] | |
| Epsilonproteo - bacteria | Arcobacter | A. butzleri, A. cryaerophilus, A. skirrowii | Adherence, invasion, cytotoxicity | Gastroenteritis, Bacteremia | [18] |
| Firmicutes | Bacillus | B. anthracis, B. cereus | Adherence, anti phagocytosis | Anthrax, diarrhea | [19] |
| Clostridia | Clostridium | C. tetani, C. perfringens, C. difficile, C. botulinum | Formation of biofilm, attachment, capsule and flagella formation | Tetanus, gastrointestinal infection and botulism | [20] |
| Actinomycetia | Mycobacterium | M. tuberculosis, M. leprae | Macrophage invasion, utilization of iron, multiple drug resistance | Tuberculosis, leprosy | [21] |
| Spirochaetia | Treponema | T. pallidium, T. pertenue, T. endemicum | Attachment, invasion | Syphilis, yaws, bejel | [22] |
The environment has also been found to contain a variety of verified enteric viruses, such as enteroviruses, caliciviruses, hepatitis A and adenoviruses. Viruses found in water bodies are one of the major concerns for public health and the environment [23]. The viruses found in water bodies exhibit common traits and can cause a wide range of illnesses, including acute as well as, chronic cases of hepatitis, conjunctivitis, gastroenteritis, respiratory disorders and infections of the brain and nervous system. Enteric viruses, including coxsackie, echo and polioviruses, can persist in freshwater environments for extended periods of time. Their average rates of inactivation range from 0.174 log10 d-1 in groundwater to 0.576 log10 d-1 in surface water obtained from taps [24].
Along with enteric viruses, a variety of non enteric viruses which include west Nile, dengue virus (DENV), coronaviruses and influenza are also reported in the environment and are a topic of concern for the community [25]. A list of potential pathogenic viruses found in the environment and clinical samples has been summarized in Table 2.
Table 2.
List of potential pathogenic viruses found in environment and clinical samples.
| Family | Genus | Reported disease | Transmission route | Ref. |
|---|---|---|---|---|
| Flaviviridae | Hepacivirus | Hepatitis C | Bloodborne | [26] |
| Herpesviridae | Varicellovirus | Chickenpox, varicella zoster infection, encephalitis, post chickenpox syndrome | Respiratory system | [27] |
| Coronaviridae | Betacoronavirus | Novel coronavirus | Respiratory | [28] |
| Matonaviridae | Rubivirus | Rubella | Respiratory | [29] |
| Togaviridae | Alphavirus | Encephalitis, chikungunya | Vector-borne | [30] |
| Picornaviridae | Hepatovirus | Hepatitis A | Enteric | [31] |
| Hepeviridae | Orthohepevirus | Hepatitis E | Enteric | [32] |
| Caliciviridae | Norovirus | Norovirus | Enteric | [33] |
| Hepadnaviridae | Orthohepadnavirus | Hepatitis B | Bloodborne | [34] |
| Retroviridae | Lentivirus | HIV | Bloodborne, semen, breast milk, vaginal fluid | [35] |
| Filoviridae | Ebolavirus | Reston, Sudan, Tai Forest, Zaire ebolavirus | Blood and body fluids | [36] |
Disease-causing microorganisms are crucial to food safety, environmental health and human health. As a result, it is critical to accurately, swiftly and readily identify these microbes. With all of these characteristics, biosensors provide a special method of microbe detection. They are already in use in related industries and are developing as a more ergonomic and flexible technology [37].
Mass screening, along with appropriate isolation and treatment is the most efficient approach to identifying these infectious disorders. Compared with traditional detection techniques, the installation of biological sensors in the field of detection may achieve significantly higher levels of testing, proper desolation and analysis [38].
When compared with traditional approaches, the development of biosensors showed various advantages because they are portable, quick and simple to use with minimum handling or manual error. Sensors that employ biological reactions as an identifying factor are known as biosensors. They consist of the transducer and the biorecognition element as their two primary parts [39]. The biorecognition element can be microorganisms, proteins, antibodies, nucleic acids or whole cells; on the other hand, the transducer can be electrical, electrochemical, optical, thermal, acoustic or piezoelectric. A biochemical reaction induced by an interaction between the analyte and bioreceptor is converted into the desired signal by the transducer component of the biosensors [40].
Research on the development of biosensors for pathogen detection has been in progress in recent times. Biosensors designed for the detection of pathogenic microbes are capable of giving real-time analysis and monitoring of microbial contamination. Early detection and notification of infectious disease-causing pathogens in the environment can shield the population against potential hazards in the near future and help prevent the infection from becoming epidemic. However, present biosensor research for pathogen detection is still in its nascent stage, indicating the need for more study in this area [41]. The fact that the environment consists of a complex matrix makes it crucial to take into account the precision of the biosensors toward one specific or class of pathogen detection in the environment and clinical samples [42]. As a result, optimizing the fabrication parameters to improve the biosensor response is significant. The incorporation of nanomaterials in the biosensor design increases the sensitivity of the biosensors, making them more accurate and precise in the analysis of real environmental samples. The affinity and biocompatibility of nanomaterials for biological receptors must be taken into account while introducing them into the biosensor’s fabrication. In certain cases, functionalized/capped nanomaterials are more suitable for biosensor design as they provide additional functional groups for efficient and successful immobilization of the bio element on the surface of nanomaterials [43]. Such nanomaterial-bioreceptor conjugates can be more effectively coated on the surface of electrodes or other materials to create a biosensing platform that can easily interact with the analyte, resulting in a change in the physiochemical property of the reaction medium, that can serve as a sensory cue. The effectiveness of the produced physiochemical changes significantly depends upon the electrical, magnetic, optical and electronic characteristics of the nanomaterials [44]. More sensitive biosensors have been made possible as a result of the use of nanomaterials in the biological sensing industry. Utilizing these unique features has made nanomaterial-based biosensors competitive [45].
2. Biosensors for the detection of pathogens
Professor Clark first described an enzyme-based biosensor in the Annals of the New York Academy of Sciences in 1962. The glucose oxidase (GOx) in this biosensor was coated on the oxygen electrode’s surface using a dialysis membrane; hence, the relationship between the drop in oxygen and the glucose concentration was established [46].
The International Union of Pure and Applied Chemistry (IUPAC) defines a biosensor as an autonomous, integrated device that can directly integrate a transducer and a biometric element for quantitative or semi-quantitative target analysis. According to this definition, the basic idea behind biosensors is to record quantifiable signals (such as electrical, optical, acoustic, temperature, etc.) produced due to physical or chemical responses generated as a result of interaction between targets and biosensitive elements, such as phages, proteins, cells, tissues, enzymes, lectin, aptamers, DNA and antibodies captured and amplified by the transducer, such as optical fibers, field-effect transistors, surface plasmon resonance (SPR), thermistors and microelectrodes, etc. Figure 1 shows the diagrammatic representation of a typical biosensor working flow.
Figure 1.

The working principle of biosensor describing the interaction of various components is schematically represented.
Numerous biosensors available are classified both based on the bio element used as well as, based on the transducer component employed. Based on the transducer element, biosensors can be amperometric, potentiometric, impedimetric, voltammetric, piezoelectrical, thermometric or optical. On the other hand, immunosensors, whole cell biosensors, aptamer-based, nucleic acid-based, biomolecule-based and biomimetic biosensors are categories of biosensors based on their bio-element [46,47]. Figure 2 shows the diagrammatic representation of a typical biosensor working mechanism for microbial detection.
Figure 2.

Mechanism of microbial biosensing: Interactions between the microbial cells and the sensor’s detection components resulting in microbial cell response and detection.
2.1. Biosensors designed for the detection & identification of pathogenic bacteria
Several therapy and detection strategies have been developed and implemented to increase the effectiveness of diagnosis. Although immunology-based techniques, cell culture, quantitative polymerase chain reaction (qPCR) and colony counting methods are reliable and precise, they are often costly and time consuming. Additionally, a lab setup is necessary to carry out the detection.
To overcome the limitations of conventional methods available for the detection and monitoring of pathogenic bacteria in clinical and environmental samples, biosensors have been proposed as a feasible alternative. Biosensors offer economical, handy, precise, and point-care devices for environmental assessment and monitoring. Biosensors also offer advantages like a lower detection limit, high sensitivity and selectivity, less involvement of hazardous chemicals and reliable output [48]. In subsequent paragraphs, some of the biosensors designed for the detection of bacteria in recent times have been discussed.
2.1.1. Detection via immunosensor
E. coli is a well-known opportunistic pathogenic bacterial species that can cause waterborne illnesses. It has been widely utilized as a definitive index of coliforms in water bodies. The conventional procedure for the identification of E. coli requires a duration of 2–3 days. Thus, in the past few years, researchers have developed biosensors for E. coli serotype detection. Most of the research group has developed immunosensors by modifying screen-printed carbon electrodes. Lin and the group developed an immunosensing disposable strip for rapid detection of E. coli O157:H7. The designed screen-printed carbon electrode immunosensor exhibited high specificity toward E. coli O157:H7 with a detection limit of 6 CFU per strip and a detection range from 102 to 107 CFU/ml. Their assay technique was based on an indirect sandwich enzyme-linked immunoassay in which E. coli O157:H7-specific antigens first and second (conjugated with horseradish peroxidase) and intact E. coli cells were used. Ferrocenedicarboxylic acid and hydrogen peroxide were used as substrates for horseradish peroxidase. The response of the sensor was enhanced 13-fold by modifying screen-printed carbon electrodes with gold nanoparticles (AuNPs) [49]. In another attempt, Huang developed an electrochemical immunosensor for quantification of E. coli O157:H7 in a label freeway. They developed a gold nanoparticle-modified screen-printed carbon electrode immobilized with an E. coli O157:H7-specific antibody. The resultant immunosensor worked on the principle of antigen-antibody reaction on the working electrode. The response was recorded in the form of cyclic voltammetry (CV) and electrochemical resistance. The detection range was found to be 1.19 × 103 to 1.19 × 109 CFU/ml with a lower detection limit of 5.94 × 102 CFU/ml [50]. In the same year, Mo and colleagues also reported a polyaniline and reduced graphene oxide-neutral red-gold nanoparticle @Platinum composite modified screen-printed carbon electrode for quantitative analysis of E. coli O157:H7. Their electrochemical immunosensor gave a linear response in the range of 8.9 × 103 to 8.9 × 109 CFU/ml with a limit of detection of 2.84 × 109 CFU/ml [51]. Recently, Vu and the group have reported a label-free electrochemical biosensor for rapid detection of bacterial pathogens. Their electrochemical biosensor comprises an anti-E. coli O 157 antibody immobilized via N-hydroxy succinimide cross-linking on a gold nanoparticle-coated screen-printed carbon electrode. The biosensor response was recorded with the help of a cyclic voltammeter. This label-free approach exhibited a detection range of 10 to 106 CFU/ ml and a limit of detection of 15 CFU/ml [52]. In addition, Savas and the group focused on developing an antibody sensor that could detect V. cholerae using a conventional immunoassay. To do that, spherically synthesized AuNPs of different sizes were produced in-house. The Turkevich method also referred to as the citrate reduction method, was used to create colloidal AuNPs. The boiling gold (III) chloride solution was mixed with a decreasing quantity of sodium citrate to create AuNPs of various sizes. These AuNPs were then coupled with a secondary antibody-horseradish peroxidase enzyme complex, and their potential impact on the lowest detection limit of V. cholerae was examined. With high sensitivity, low limit of detection (1 CFU/ml), and specificity, the developed AuNPs-immunosensor allowed the quantification of V. cholerae in a wide concentration range. Thus, a novel electrochemical immunoassay was created for the detection of V. cholerae in drinking water in less than 5 min [53]. All these examples show the potential of biosensing platforms for monitoring pathogenic agents with the help of point-of-care devices in a selective, sensitive and economical manner.
2.1.2. Detection via aptamer-based biosensor
An aptasensor for the identification of E. coli O157:H7 and Salmonella typhimurium was also developed by Fang based on the transient wave dual color fluorescence technique. A fiber nano probe coated with a silica fiber optic nanoporous layer containing aptasensors Cy3- apt- e and Cy 5.5- apt- s employing the tube surface carving method was developed and placed in a microfluidic cell. This fiber nanopore was connected to a photodetector and optical controller through a single multimode fiber optic coupler. The bacterial sample buffer and washed water were pumped over the surface of the fiber nanoprobe using a peristaltic pump during the course of detection. When excitation light of 520 and 635 nm was alternatively introduced into the fiber nanoprobe, the excitation of the two aptasensors was recorded by the photodetector. In the presence of a varying concentration of pathogenic bacteria, the fluorescent intensity recorded by the photodetector decreases due to the specific interaction of the bacteria with the corresponding aptasensor on the nanoprobe surface when excited with a laser of wavelength 520 and 635 nm, respectively. Due to the nano-size effect of free aptasensor and bounded aptasensor, the detection of Salmonella typhimurium and E. coli O157:H7 was conducted using the fabricated biosensor. Target molecules may be identified with ease using a fluorescent-labeled aptasensor in conjunction with a nanoporous layer and a fiber nanotube acting as a transducer. The quantification was completed in less than 35 min, and the limit of detection was found to be 340 and 180 CFU/ml for S. typhimurium and E. coli O157:H7, respectively [54].
Song developed a quadruplex DNA aptamer with peroxidase-like activity to design an aptasensor for the detection of H. pylori. The sensor was fabricated by immobilizing G- quadruplex DNAzyme and magnesium-dependent DNAzyme substrate on a gold electrode. The sensor works on linear isothermal amplification reaction, and the response was recorded with the help of differential pulse voltammetry. H. pylori, 17 nucleotide target DNA sequence was the analyte to be detected by the fabricated sensor. The assay was simple, selective and sensitive toward H. pylori detection. The sensor response was linear in the range of 2.1–67.2 pg with a limit of detection of 1.3 pg [55].
A triple-helix molecular switch was employed in another study by Cai and the group to create a biosensor with electrochemical activity for the identification of Staphylococcus aureus. A broad linear response in the range of 60–6 × 107 CFU/ml and a detection limit of 8 CFU/ml were determined for S. aureus by the fabricated aptasensor [56]. In addition, Hou and colleagues concentrated on photoelectrochemical biosensors as a recently developed detection method with cost–effectiveness, low noise, ease of use, high sensitivity and accuracy in comparison to conventional methods to detect V. parahaemolyticus. This photoelectrochemical aptasensor was constructed employing a layer-by-layer self-assembly method on the surface of a glass working electrode. The glass electrode surface was coated with bismuth nanoparticles and silver nanoparticles; the functionalized layer of silver nanoparticles was then used for immobilization of V. parahaemolyticus specific aptamer. The detection was monitored by recording the decrease in photocurrent due to a specific reaction between V. parahaemolyticus and the aptamer. The sensor was successfully tested for quantification of V. parahaemolyticus in the seafood with no interference by bacteria belonging to Staphylococcus, Salmonella or Bacillus species at the concentration of 3.2 × 105 CFU/ml. This device measured a LOD of 40 CFU/ml with a linear range from 3.2 × 102 to 3.2 × 108 CFU/ml with good precision and high stability [57].
2.1.3. Detection via fluorescent biosensor
To determine S. aureus, a dual-mode nano-biosensor with ratiometric fluorescence and colorimetry has been developed by Gao and colleagues. The carbon dots (BCDs) and manganese dioxide nanosheets (MnO2 NSs) generated procedures were simple, effective, and labor-saving. The fluorescence quenching and oxidation mediated by MnO2 NSs enhanced detection signals during analysis. The dual-mode determination had a low limit of detection of 9 CFU/ml (ratiometric fluorescence) and 22 CFU/ml (colorimetry), with a wide linear range of 37 ∼ 3.7 × 106 CFU/ml [58].
Sheini also created a fluorescent biosensor for the identification of four bacterial species, namely P. aeruginosa, S. aureus, S. pyogenes and E. coli. They developed a paper-based microfluidic device (PAD) for the identification of bacteria. The biosensor was designed by immobilizing nanoclusters made of gold and copper on rectangular paper of dimension 1.5 × 1.0 cm. The paper device was divided into hydrophilic and hydrophobic zones by the ink-printed method. The hydrophilic zones were loaded with synthesized six different nanoclusters (OVA-coated gold nanoclusters, pepsin-coated gold nanoclusters, trypsin-coated gold nanoclusters, GSH-coated-copper nanoclusters, pepsin-coated copper nanoclusters and trypsin-coated copper nanoclusters). The analyte present in human serum was tested by injecting it into a clean glass sheet, followed by pasting the fabricated PAD on it. After 15 s of incubation, the PAD was placed in a fluorimeter. The analyte (bacteria) in the serum sample interacts with the nanocluster, and when irradiated with a wavelength of 365 nm in the fluorimeter under dark conditions, the change in the fluorescence intensity was recorded as a measure of analyte detection. The sensor was able to detect low concentrations of bacteria in the sample with detection limits of 43.0, 63.5, 26.0, and 47.0 CFU/ml for S. aureus, S. pyrogens, E. coli and P. aeruginosa, respectively [59].
Some more biosensors developed for bacterial detection and identification have been listed in Table 3.
Table 3.
Biosensors for identification of pathogenic bacteria.
| Targeted organism | Biorecognition element | Biosensor | Detection time (minutes) | LOD (CFU/ml) | Linear range (CFU/ml) | Ref. |
|---|---|---|---|---|---|---|
| Shigella sonnei | DNA Aptamer | Dual-mode immunochromatographic test strip (DITS) biosensor | 10 | 1 × 104 | – | [60] |
| Vibrio parahaemolyticus | DNA2 Probe | Electrochemiluminescent | – | 2.11 | 7.04–1 × 107 | [61] |
| Clostridium perfringens | Monoclonal antibody | Electrochemical immunosensor | – | – | – | [62] |
| Mycobacterium tuberculosis | DNA aptamer | Electrochemical | – | – | – | [63] |
| Streptococcus pneumoniae | Oligonucleotide probe | Electrochemical | – | 102 | 101–108 | [64] |
| Salmonella Typhimurium | Anti-Salmonella polyclonal antibodies | Electrochemical | 120 | 10 | 10–106 | [65] |
| Escherichia coli O157 | Anti-Escherichia coli O157 antibody | Electrochemical | 30 | 15 | 10–106 | [66] |
| Salmonella enterica | Polyclonal anti-Salmonella antibodies | Electrochemical immunosensor | 125 | 10 | 10–105 | [67] |
| Aeromonas hydrophila | DNAzyme | Fluorescence | 10 | 36 | 0–103 | [68] |
| Staphylococcus aureus | Vancomycin | Electrochemical impedance spectroscopy | – | <39 | – | [69] |
| F-pili containing E. coli | M13 phage | Chemiresistor | – | 45 | 102–107 | [70] |
| Haemophilus influenzae | Single strand probe DNA | Electrochemical | – | 10-10 | 10-10 | [71] |
| Escherichia coli O157: H7 | Functional DNA aptamer | Electrochemical | 60 | 19 | 10–10-6 | [72] |
| Salmonella typhimurium | Nanozyme | Optical | 50 | 100 | 104–106 | [73] |
| Salmonella enteritis | Molecularly imprinted polymers | Electrochemical | 20 | 100 | 3 × 102–3 × 107 | [74] |
2.2. Biosensors developed for the detection of pathogenic viruses
Viral diseases pose a serious threat to the population and safety. Inadequate identifying instruments are the cause of their high prevalence. Consequently, there is a notable need for the quick, precise, and selective identification of viruses. Numerous biosensors have been created and tested for their ability to detect viruses in environmental samples to prevent their harmful impact on the human population. Real-time molecular target identification is made possible by nanotechnology. Human excrement is a major source of waterborne viruses because an infected individual can shed anywhere from 105 to 1012 virus particles per gram. The real-time detection of viruses is one of the main advantages and contributions that biosensors could offer. This makes early detection of potentially fatal viruses in the environment, and thus their spread and impact can be controlled [75]. In subsequent paragraphs, some of the biosensors designed for the detection of viruses in recent times have been discussed.
2.2.1. Detection via lateral flow biosensor
Shi and group designed a lateral flow biosensor based on AuNPs that was integrated with reverse transcription loop-mediated isothermal amplification. They designed a primer that was made from different genotypes of the hepatitis C virus, namely 1b, 3b, 2a, 3a and 6a. The device was utilized for testing the hepatitis C virus in clinical and environmental samples. The detection and identification process took approximately 40 min without any need for extra instruments, and the limit of detection value comes out to be 20 copies per serum sample. The sensor developed was precise and stable [76].
2.2.2. Detection via optical biosensor
With an estimated 2 billion cases worldwide, the hepatitis B virus (HBV) ranks among the most common viral illnesses in Asian nations. Though vaccination is available for its prevention, approximately 25 million people are still affected, and nearly one million deaths are recorded due to hepatitis B virus infection. ELISA is the most common technique for its detection, but due to its low sensitivity, its effectiveness is unsatisfactory. As a result, quantitative PCR is a benchmark for HBV detection. PCR techniques need sophisticated lab setup along with professional, skilled personnel. As a result, efforts have been made to create a biosensor that can detect HBV at the point of care. Chang et al. reported a “light-sensitive sensor” for the detection of HBV. In their approach, they have prepared helical gold nanorods functionalized as optical probes. HBV DNA strands isolated from the sample were converted to hybridization chain products that exhibit quadruplex DNAzyme structure when treated with hemin and potassium ions. This prepared quadruplex DNAzyme, when incubated with the helical gold nanorods, results in an etching of the helical gold nanorods and a decrease in scattering intensity that can be captured by dark field microscopy. Helical gold nanorods were reported to the excellent biosensor probe with a limit of detection as 30.15 fM. Their approach opened an avenue for sensitive detection of viral DNA detection [77].
2.2.3. Detection via colorimetric biosensor
Duyen developed a colorimetric biosensor for the identification of DENV that was based on the precise binding of dengue’s genomic RNA to a DNA-conjugated gold nanoparticle, which forms a DNA–RNA duplex structure and causes the gold nanoparticle to aggregate, giving the ruby red color to turn blue under acidic condition. A change in the color is a visual indication of the presence of the DENV, and the same can be quantified by recording the absorbance of the developed blue color at 620 nm. The detection limit was measured as ∼1 pg/μl. The time taken to complete the reaction process along with the extraction of genomic RNA was 1 h [78].
2.2.4. Detection via electrochemical biosensor
Uygun and Tasoglu developed a biosensor system that was a peptide-based antimicrobial biosensor system utilizing electrochemical impedance spectroscopy for the identification of gp 120, a viral envelope protein of HIV. The biosensor uses silver nanoparticles and a gold-coated carbon electrode with MXene to detect the HIV envelope protein gp120. On the biosensor surface, the presence and dispersion of MXene and silver nanoparticles were verified by scanning electron microscope. To guarantee dependable and stable functioning, the antimicrobial peptide was applied to the electrode surface in a way that reduced the breakdown of the biorecognition receptor. For the detection of gp120, the sensor showed a linearity range of 10–4000 pg ml-1, showing good repeatability in actual samples. Additionally, it was determined that the limits of quantification and detection were, respectively, 0.14 pg and 0.05 pg ml-1 [79].
Viral flu is easily confused with common flu during the majority of flu pandemic cases globally. In 1918, approximately 50–100 million deaths were reported due to the outbreak of H1N1 flu; a similar case was also reported in 2009, killing 4 lakh people. Earlier detection of the flu causative agent can be very helpful in controlling such outbreaks. RT-PCR and virus culture are conventional detection methods for such viruses. However, these methods are influenced by the external environment, are time-consuming, and cannot be miniaturized therefore sensitive, precise, accurate and dependable alternative techniques for viral detection are in need of time. Recently, Yang et al. developed an electrochemical sensor for the identification of influenza viruses. A single-stranded DNA (ssDNA) probe was designed and synthesized that has an H1N1 target sequence reorganization element as well as a primer sequence that can initiate rolling circle amplification. When this ssDNA probe was incubated with a specific target H1N1 RNA, probe cleavage was initiated, followed by loop-based amplification to reduce multiple biotin-labeled ssDNA that can be detected by the streptavidin present on the working surface of a modified gold-coated electrode. The sensor response is measured with the help of a cyclic voltameter and by electrochemical impedance spectroscopy. The developed biosensor can serve as an economical and reliable tool for clinical application, and the strategy of biosensor design can be implemented for the detection of other viruses in different types of samples [80]. With a high global prevalence, severe symptoms, and concerning mortality rates, DENV is the most common arbovirus in the world. Do Couto and colleagues created an electrochemical biosystem for the detection of DENV genotypes 1 and 2, utilizing anti-DENV antibodies, cadmium telluride quantum dots and cysteine, in response to the limitations of existing diagnostic techniques. Atomic force microscopy (AFM), fourier transform infrared spectroscopy (FTIR), SPR, CV, and electrochemical impedance spectroscopy were used to analyze the performance of immunosensor. There were observable angular and topographic variations in the AFM and SPR data, which supported the biomolecular identification. The study examined varying concentrations of DENV-1 and DENV-2 (0.05 × 106 to 2.0 × 106 PFU ml-1), yielding maximum anodic shifts of 263.67% ± 12.54 for DENV-1 and 63.36% ± 3.68 for DENV-2. The response of the detection methods to the rise in virus concentration was linear. Across a wide concentration range, excellent linear correlations were established, with R2 values of 0.95391 for DENV-1 and 0.97773 for DENV-2. High repeatability was observed in the analysis of the data. The quantification limits were found to be 1.49 × 10-6 PFU ml-1 and 0.06 × 106 PFU ml-1, whereas the detection limits were 0.34 × 106 PFU ml-1 and 0.02 × 106 PFU lL-1 [81].
2.2.5. Detection via aptamer-based biosensor
In addition, Khan and colleagues created an aptamer-based biosensor that can quickly and accurately identify viruses, opening up new possibilities for COVID-19 detection on a broader scale. They described the use of molecular docking and bioinformatics tools in conjunction with an aptamer-based electrochemical and computational technique to characterize the interaction between a 60-base single-stranded (ss) DNA aptamer and the viral S protein. The DNA aptamer was attached to the surface of an electrode modified with AuNPs to produce the biosensor. Methylene blue was utilized as a redox indicator. In the presence of S-protein, conformational changes in the aptamer’s structure were obtained that increased the methylene blue redox signal. This signal had a linear range of 10 pM–6 nM and a differential pulse voltammetry limit of detection of 91.1 pM [82]. The Zika virus (ZV) can cause hemorrhagic fever, which can be fatal. A quick diagnostic method is needed to identify ZV infection. To address this issue, Jang and colleagues created a quick electrical biosensor using the alternating current electrothermal flow (ACEF) method and a DNA aptamer mounted on an interdigitated gold micro-gap electrode. To lower production costs for the creation of biosensors, the truncated ZV aptamer (T-ZV apt) was created, which demonstrated binding affinity comparable to the original ZV aptamer. This biosensor which used the pulse-voltammetry was made of an immobilized T-ZV apt on an interdigitated micro-gap electrode. Target virus envelope protein found in the serum binds to the aptamer, and detection can be achieved within 10 min. When the serum’s Zika envelope concentration increases, the biosensor waveform grows linearly, with a detection limit of 90.1 pM [83].
Different types of biosensors have been developed to identify the viral pathogens, which are summarized in Table 4.
Table 4.
Biosensors for identification of pathogenic virus.
| Targeted organism | Biorecognition element | Biosensor | Detection time (minutes) | LOD (ng/ml) | Linear range (ng/ml) | Ref. |
|---|---|---|---|---|---|---|
| Nipah virus | DNAzyme | Fluorescent | 20 | 10 | – | [84] |
| Human monkeypox virus | Heparan sulfate receptor | Impedimetric | – | 2.08 | 2.0–50 | [85] |
| H1N1 virus | Single-stranded DNA probe | Electrochemical | – | 6.7 × 10-8 | 3 × 10-8–3 × 10-3 | [86] |
| Hepatitis B virus DNA | Hepatitis B virus DNA oligonucleotides | Electrochemical | 0.417 | 10-7 | 5 × 10-4–5 × 107 | [87] |
| Hepatitis A virus | Molecularly imprinted polymers | Fluorescence | 15 | 3 × 10-3 | 2 × 10-2 | [88] |
| Dengue virus | CRISPR RNA & Cpf1 | Electrochemical | 30 | 10-5 | – | [89] |
| HIV | Spherical nucleic acid and CRISPR/ Cas12a | Electrochemiluminescence | 120 | 0.00003 | – | [90] |
| Human papilloma virus subtype | CRISPR/Cas12a | Electrochemiluminescence | 70 | 0.00048 | – | [91] |
| Influenza A H1N1 virus | Monoclonal anti-FluA antibodies | SERS-based biosensor | 30 | 50 | – | [92] |
| Hepatitis B surface antigen | Anti-hepatitis B antibody | Electrochemical | 8.33 | 0.018 | 0.1–250 | [93] |
| Singapore grouper iridovirus | Q2 and Q3 aptamers | Lateral flow biosensor | <90 | 5 × 104 | – | [94] |
| HIV | Anti-gp120 | Electrochemical | – | 0.066 | 1–10 | [95] |
2.3. Effect of nanomaterials on the electrochemical performance for sensing the microbial existence
Several nanomaterials, including metal oxides, metal sulfides, graphene nanocomposites, AuNPs, silver nanoparticles (AgNPs) and quantum dots, have been used in biosensor fabrication. They have characteristics related to optics, electrical, thermal and catalytic. Nanomaterials offer many advantages, such as a high surface-to-volume ratio, small size and unique optical and electronic properties; this makes them a powerful tool for improving biosensor performance in detecting target analytes. When nanoengineered materials are incorporated into biosensors, they greatly influence their performance metrics, including sensitivity, specificity, response time and overall cost. Nanomaterials can enhance the selectivity of sensors, enabling better differentiation of various microorganisms, and can also differentiate viable and nonviable cells. Additionally, they can boost the stability and durability of electrochemical sensors, resulting in more reliable and enduring performance for microbial detection [96].
To facilitate the electrochemical biosensor for E. coli detection, Zheng and colleagues created a bifunctional nanomaterial (Pt-Ni@erGO) made of platinum (Pt)-nickel (Ni) nanoparticles and epoxy-rich graphene oxide (erGO). Sharp edges and a large specific surface area of erGO are advantageous for inserting or cutting through cell membranes and loading high-density Pt-Ni nanoparticles while maintaining catalytic activity. Pt-Ni@erGO has strong antibody-like activity, both of which are favorable to increasing sensitivity. This led to the successful detection of E. coli, achieving a linear range of 1.5 × 102–1.5 × 10 7 CFU/ml with a sensitivity of 38 CFU/ml [97].
In another study, using a two-step spin coating method, Guinlet and colleagues introduced an electrochemical immuno-biosensor that included non cytotoxic silica nanoparticles (NPs). This novel technique, which uses CV measurements, enables the continuous and non-saturated detection of E. coli bacteria in about 5 min and can reach up to 103 CFU/ml in 30 min, in contrast to biosensors that have a special antibody-based layer without NPs [98].
Lai and colleagues have reported a sensitive and disposable screen-printed carbon electrode-based electrochemical biosensor strip for rapid and accurate identification of the Japanese encephalitis virus. Japanese encephalitis virus antibodies were immobilized on the electrode surface by amide bond formation between the amino group on the carbon nanomaterial and the carboxy group of antibodies. In 10 min, the electrochemical biosensor strip demonstrated a linear detection range of 1–20 ng/ml-1 and a low detection limit of 0.36 ng/ml-1 [99].
Karakus and the group devised a colorimetric technique for detection of the SARS-CoV-2 antigen using a gold nanomaterial-based biosensor. Irreversible aggregation of AuNPs in the presence of SARS-CoV-2 spike antigen resulted in a change in the color from red to purple due to antigen-antibody interaction that can be measured spectrophotometrically with a detection limit of 48 ng/ml. The same was electrochemically detected using the developed probe on a commercial screen-printed gold electrode. Electrochemical analysis showed a linear response to the SARS-CoV-2 spike antigen with a detection range of 1 pg/ml to 10 ng/ml. SARS-CoV-2 spike antigen could be detected with excellent specificity using this approach [100].
Thus, the abovementioned work indicates that nanomaterials greatly improve the electrochemical performance of sensors designed to detect microorganisms. Their small size and special characteristics enhance the sensors’ sensitivity and efficiency, enabling them to detect low concentrations of microbes. Incorporating nanomaterials not only enhances the accuracy but also the reliability of biosensors for microbial detection.
3. Challenges in the development of biosensors
From technological barriers to practical issues, the development of biological sensors for pathogen detection poses a multitude of challenges. The following are some key points for addressing these difficulties:
3.1. Sensitivity & selectivity
In complicated matrices such as clinical samples and environmental samples, biosensors need to have a high sensitivity to identify pathogens at low concentrations. Attaining selectivity is of equal importance in distinguishing intended pathogens from non-pathogenic species or environmental pollutants [101]. Complex matrices can also introduce background noise and interfere with signal transduction pathways, resulting in false positives or negatives. Examples of these include biological fluids and environmental samples. Because of the significant background response in clinical samples, it is very difficult to identify bioanalytes such as specific proteins, cytokines or abnormal cells. Utilization of various nanomaterials while constructing a biosensor can lead to signal amplification as nanomaterials exhibit excellent electrical and optical properties, leading to enhancement in the sensitivity of the biosensor. Nanomaterials also serve as excellent matrices for the immobilization of bio elements with increased loading capacity. When it comes to stability, cost, sensitivity and reaction time, nanoscale catalysts are the emerging stars, yet their specificity still has to be further enhanced [102]. Effective CRISPR/Cas network-driven autocatalysis amplification can be utilized as another technical advancement in the field of biosensor design for the detection of cellular DNA and RNA [103].
3.2. Extensive versatility
Since Multiplexing systems offer a thorough mapping of disease traits and accurate results, multiplexing assays are essential to clinical practice toward precision diagnostics. Multiple analyte detection in one test decreases variances between single plex assays it saves time and sample volume and provides maximum information regarding the sample during analysis. Sensitivity, cross-reaction and restricted signal readouts are issues with the multiplex capability. According to Shen, most of the electrochemical biosensors can analyze only three analytes in a particular sample due to signal overlap. On the other hand, Optical biosensors come up with upgraded systems because they can integrate with many optical tags, including SPR, surface enhanced Raman scattering (SERS) and upconverting nanoparticles thus optical biosensors offer a better option for diverse analyses [104].
3.3. Real-time monitoring
To continuously protect the status of health, effective healthcare depends on technology that monitors physiological variables in real time, same applies to environmental assessment and monitoring. While attaining in situ real-time monitoring is challenging thus modern biosensing systems need to be powered with multiplexing capabilities, quick response, low sample size with high sensitivity. Developments in implanted chips and wearable electronics have made it possible to monitor a variety of health issues continuously. These developments have greatly heightened interest in the application of wearable technology and sensors [105]. Analyte reversible signals can be obtained from a continuously operating real-time biosensing device even in situations where the analyte concentration fluctuates. Consequently, it can distinguish signals in a complicated sample environment among the substance that is being studied. Without requiring more operational processes, it can immediately supply the analyte's real-time signal in the interim. A current obstacle in the use of biosensors for constant molecular monitoring is the conversion of particular analyte information into continuously detectable signal outputs in vivo without drifting background signals [106].
3.4. The ecosystem’s sustainability
Due to the widespread connectivity and modern expectations for quick, dependable, and accessible information about our health status, economical safer, and portable monitoring devices are in demand which can be easily fulfilled by the disposable sensors [107]. Concurrently, such disposable sensors are one-time use solutions therefore contamination-free for the user. Though disposable biosensors accelerate and simplify our lives, they also pose a threat to the environment. To make biological sensing devices sophisticated and reliable in terms of data gathered, the addition of electronic component is needed. To safeguard the hazardous impact of used biosensor elements its biodegradability aspect has to be kept into consideration. Advancements in sustainable sensing platforms in recent times target economical environmentally benign, smart and user-friendly devices. Advanced biosensing systems include wearable biosensors, biochips, smartphone-based biosensors, recyclable biosensors, IOT-based biosensors, etc [108]. Paper-based analytical devices have emerged as semi-quantitative analyzing devices with scalable, economical and point-to-care tools [109]. The development of sophisticated and intelligent biological sensing machinery with the required analytical performance that is also sustainable to the ecosystem requires careful thought because it is difficult to create an environmentally friendly sensing system with all the desired qualities [110].
4. Conclusion
In this paper, we have discussed various biosensors developed for the identification of pathogenic microorganisms. The review initially explains the prevalence of infectious bacteria and viruses and the risks associated with them. Furthermore, biosensors as a promising tool, have been described for immediate and accurate pathogen identification. Environmentally safe and biocompatible sensors can detect and identify various bacteria and viruses in environmental and biological samples, as reported by researchers. The several biorecognition element-based biosensors that have been reported for the detection of microbes include aptamers, nucleic acids, enzymes and antibodies. Aptamers show potential as an alternative to antibodies because of their ease of synthesis, high stability, ease of modification, tissue penetration, low cost and low toxicity. Biosensors can be designed for point-care analyses as well as, monitoring of infection at its various stages. Biosensors and nano-biosensors are potent measurement tools that simplify, speed up, and effectively identify significant clinical bacteria and viruses.
5. Future perspective
Future applications face various significant obstacles that must be overcome, including the need to address the possibility of detecting low concentrations of pathogens and the requirement for bacterial strain-specific bioreceptors. One significant challenge arises when the complex environmental matrix produces significant interferences when target analytes are detected by a developed biosensor. Future developments in biosensors should prioritize the development of innovative sensing components, smart sensing materials, effective signal transduction and onsite detection of a broad variety of environmental contaminants to address the problems listed above. By improving signal to noise ratio of the sensor, one can strengthen the signal transduction process of the developed biosensor, thus improving overall performance. Nanotechnology advancements are/can aid in the development of biosensor technology. Continuous monitoring will be improved by the development of wearable and less invasive implantable biosensors that offer comfort to the user. The biocompatibility aspect of biosensors designed for infectious agent determination should be given prime importance. Comprehensive and accurate health monitoring will be made possible by noninvasive methods, multianalyte detection and nanoscale biosensors.
Acknowledgments
The authors are grateful to NIT, Raipur, Chhattisgarh, for providing resources to complete this work.
Author contributions
S Sinha: Conceptualization, data curation, formal analysis, Writing – original draft. LSB Upadhyay: Supervision, validation, visualization, Writing – review & editing.
Financial disclosure
This manuscript was not funded.
Competing interests disclosure
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Reference
Papers of special note have been highlighted as: • of interest
- 1.Fuller JA, Eisenberg JN. Herd protection from drinking water, sanitation, and hygiene interventions. Am J Trop Med Hyg. 2016;95(5):1201. doi: 10.4269/ajtmh.15-0677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ejeian F, Etedali P, Mansouri-Tehrani H-A, et al. Biosensors for wastewater monitoring: a review. BiosensBioelectron. 2018;118:66–79. doi: 10.1016/j.bios.2018.07.019 [DOI] [PubMed] [Google Scholar]
- 3.Soto SM. Human migration and infectious diseases. Clin Microbiol Infect. 2009;15:26–28. doi: 10.1111/j.1469-0691.2008.02694 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Chahal C, Van Den Akker B, Young F, et al. Pathogen and particle associations in wastewater: significance and implications for treatment and disinfection processes. Appl Microbiol. 2016;97:63–119. doi: 10.1016/bs.aambs.2016.08.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Alex FJ, Tan G, Kyei SK, et al. Transmission of viruses and other pathogenic microorganisms via road dust: emissions, characterization, health risks, and mitigation measures. Atmos Pollut Res. 2023;14(1):101642. doi: 10.1016/j.apr.2022.101642 [DOI] [Google Scholar]
- 6.Wang Y, Gong J, Li J, et al. Insights into bacterial diversity in compost: core microbiome and prevalence of potential pathogenic bacteria. Sci Total Environ. 2020;718:137304. doi: 10.1016/j.scitotenv.2020.137304 [DOI] [PubMed] [Google Scholar]
- 7.Vouga M, Greub G. Emerging bacterial pathogens: the past and bey ond. Clin Microbiol Infect. 2016;22(1):12–21. doi: 10.1016/j.cmi.2015.10.010 [DOI] [PMC free article] [PubMed] [Google Scholar]; •This article is of interest and has been highlighted in the main manuscript as it has helped us to develop an insight regarding emerging and reemerging pathogens of major microbiological public health concern, they have given information regarding 26 major infectious disease-causing bacteria of water origin. Motivated by this and a few more relevant articles we were able to comprehend various kinds of bacterial agents and their prevalence in environmental and clinical samples.
- 8.Dicle Y, Karamese M. Biosensors for the detection of pathogenic bacteria: current status and future perspectives. Future Microbiol. 2024;19(3):281–291. doi: 10.2217/fmb-2023-0182 [DOI] [PubMed] [Google Scholar]; •This article is of interest and is been highlighted in the main manuscript as it has been used to write the introductory explanation about serious threats by pathogenic microbes on the integrity of the environment, food safety and human health. The article specifically deals with the biosensors specifically designed for pathogenic bacteria detection concerning its current situation as well as the upcoming future which help us to strengthen our manuscript.
- 9.Mao K, Zhang H, Pan Y, et al. Biosensors for wastewater-based epidemiology for monitoring public health. Water Res. 2021;191:116787. doi: 10.1016/j.watres.2020.116787 [DOI] [PubMed] [Google Scholar]
- 10.Tauch A, Fernández-Natal I, Soriano F. A microbiological and clinical review on Corynebacterium kroppenstedtii. Int J Infect Dis. 2016;48:33–39. doi: 10.1016/j.ijid.2016.04.023 [DOI] [PubMed] [Google Scholar]
- 11.Jang J, Hur HG, Sadowsky MJ, et al. Environmental Escherichia coli: ecology and public health implications—a review. J Appl Microbiol. 2017;123(3):570–581. doi: 10.1111/jam.13468 [DOI] [PubMed] [Google Scholar]
- 12.Effah CY, Sun T, Liu S, et al. Klebsiella pneumoniae: an increasing threat to public health. Ann Clin Microbiol Antimicrob. 2020;19:1–9. doi: 10.1186/s12941-019-0343-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mondino S, Schmidt S, Rolando M, et al. Legionnaires' disease: state of the art knowledge of pathogenesis mechanisms of Legionella. Annu Rev Pathol. 2020;15:439–466. doi: 10.1146/annurev-pathmechdis-012419-032742 [DOI] [PubMed] [Google Scholar]
- 14.Tuon FF, Dantas LR, Suss PH, et al. Pathogenesis of the Pseudomonas aeruginosa biofilm: a review. Pathogens. 2022;11(3):300. doi: 10.3390/pathogens11030300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Gast RK, Porter RE Jr. Salmonella infections. JPSAD. 2020;14:717–753. doi: 10.1002/9781119371199.ch16 [DOI] [Google Scholar]
- 16.Almagro-Moreno S, Martinez-Urtaza J, Pukatzki S. Vibrio infections and the twenty-first century. Vibrio spp. 2023;1404:1–16. doi: 10.1007/978-3-031-22997-81 [DOI] [PubMed] [Google Scholar]
- 17.Ioannou P, Vougiouklakis G, Baliou S, et al. Infective endocarditis by Yersinia species: a systematic review. Trop Med Infect Dis. 2021;6(1):19. doi: 10.3390/tropicalmed6010019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Baztarrika I, Salazar-Sánchez A, Laorden L, et al. Foodborne and waterborne Arcobacter species exhibit a high virulent activity in Caco-2. Int J Food Microbiol. 2024;118:104424. doi: 10.1016/j.fm.2023.104424 [DOI] [PubMed] [Google Scholar]
- 19.Veysseyre F, Fourcade C, Lavigne JP, et al. Bacillus cereus infection: 57 case patients and a literature review. Med Mal Infect. 2015;45(11–12):436–440. doi: 10.1016/j.medmal.2015.09.011 [DOI] [PubMed] [Google Scholar]
- 20.Stevens DL, Aldape MJ, Bryant AE, et al. Life-threatening clostridial infections. Anaerobe. 2012;18(2):254–259. doi: 10.1016/j.anaerobe.2011.11.001 [DOI] [PubMed] [Google Scholar]
- 21.Kasperbauer SH, De Groote MA. The treatment of rapidly growing mycobacterial infections. Clin Chest Med. 2015;36(1):67–78. doi: 10.1016/j.ccm.2014.10.004 [DOI] [PubMed] [Google Scholar]
- 22.Leite FR, Nascimento GG, Demarco FF, et al. Prevalence of treponema species detected in endodontic infections: systematic review and meta-regression analysis. J Endod. 2015;41(5):579–587. doi: 10.1016/j.joen.2015.01.020 [DOI] [PubMed] [Google Scholar]
- 23.Rzeżutka A, Cook N. Survival of human enteric viruses in the environment and food. FEMS Microbiol Rev. 2024;28(4):441–453. doi: 10.1016/j.femsre.2004.02.001 [DOI] [PubMed] [Google Scholar]
- 24.Bleotu C, Matei L, Dragu LD, et al. Viruses in wastewater—a concern for public health and the environment. Microorganisms. 2024;12(7):1430. doi: 10.3390/microorganisms12071430 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Haramoto E, Kitajima M, Hata A, et al. A review on recent progress in the detection methods and prevalence of human enteric viruses in water. Water Res. 2018;135:168–186. doi: 10.1016/j.watres.2018.02.004 [DOI] [PubMed] [Google Scholar]; •This article created interest as our manuscript was an attempt to focus on bacterial and viral infection due to contaminated water or clinical tools and their monitoring strategy primarily focusing on futuristic biosensor technology. This article has beautifully summarized waterborne human enteric viruses, their genetic diversity and their detection methodology.
- 26.Roudot-Thoraval F. Epidemiology of hepatitis C virus infection. Clin Res Hepatol Gastroenterol. 2021;45(3):101596. doi: 10.1016/j.clinre.2020.101596 [DOI] [PubMed] [Google Scholar]
- 27.Laing KJ, Ouwendijk WJ, Koelle DM, et al. Immunobiology of varicella–zoster virus infection. J Infect Dis. 2018;218:S68–S74. doi: 10.1093/infdis/jiy403 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Borges do Nascimento IJ, Cacic N, Abdulazeem HM, et al. Novel coronavirus infection (COVID-19) in humans: a scoping review and meta-analysis. J Clin Med. 2020;9(4):941. doi: 10.3390/jcm9040941 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kilich G, Perelygina L, Sullivan KE. Rubella virus chronic inflammatory disease and other unusual viral phenotypes in inborn errors of immunity. Immunol Rev. 2024;322(1):113–137. doi: 10.1111/imr.13290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zimmerman O, Holmes AC, Kafai NM, et al. Entry receptors—the gateway to alphavirus infection. JClin Invest. 2023;133(2):1–12. doi: 10.1172/JCI165307 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gandhi AP, Mohammed AM, Aparnavi P, et al. Global outbreaks of foodborne hepatitis A: systematic review and meta-analysis. Heliyon. 2024;10(7):1–11. doi: 10.1016/j.heliyon.2024.e28810 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Verghese VP, Robinson JL. A systematic review of hepatitis E virus infection in children. Clin Infect Dis. 2014;59(5):689–697. doi: 10.1093/cid/ciu371 [DOI] [PubMed] [Google Scholar]
- 33.Winder N, Gohar S, Muthana M. Norovirus: an overview of virology and preventative measures. Viruses. 2022;14(12):2811. doi: 10.3390/v14122811 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Leumi S, Bigna JJ, Amougou AM, et al. Global burden of hepatitis B infection in people living with human immunodeficiency virus: a systematic review and meta-analysis. Clin Infect Dis. 2020;71(11):2799–2806. doi: 10.1093/cid/ciz1170 [DOI] [PubMed] [Google Scholar]
- 35.Obeagu E, Obeagu G. CD8 dynamics in HIV infection: a synoptic review. Immunol Lett. 2024;2(1):1–3. doi: 10.3182/20060920-3-FR-2912.00089 [DOI] [Google Scholar]
- 36.Qin FX-F, Jiang C-Y, Jiang T, et al. New targets for controlling Ebola virus disease. Natl Sci Rev. 2015;2(3):266–267. doi: 10.1093/nsr/nwv043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Magnano San Lio R, Barchitta M, Maugeri A, et al. Updates on developing and applying biosensors for the detection of microorganisms, antimicrobial resistance genes and antibiotics: a scoping review. Front Public Health. 2023;11:1240584. doi: 10.3389/fpubh.2023.1240584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Naresh V, Lee N. A review on biosensors and recent development of nanostructured materials-enabled biosensors. Sensors. 2021;21(4):1109. doi: 10.3390/s21041109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kirsch J, Siltanen C, Zhou Q, et al. Biosensor technology: recent advances in threat agent detection and medicine. Chem Soc Rev. 2013;42(22):8733–8768. doi: 10.1039/C3CS60141B [DOI] [PubMed] [Google Scholar]
- 40.Ahmad I, Siddiqui SA, Khan SA, et al. Cultural and molecular approaches to analyse antimicrobial resistant bacteria from environmental samples. Microb Genom. 2024;7:759–776. doi: 10.1016/B978-0-443-13320-6.00014-7 [DOI] [Google Scholar]
- 41.Williams A, Aguilar MR, Pattiya Arachchillage KG, et al. Biosensors for public health and environmental monitoring: the case for sustainable biosensing. ACS Sustain Chem Eng. 2024;12(28):10296–10312. doi: 10.1021/acssuschemeng.3c06112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gavrilas S, Ursachi CS, Perţa-Crişan S, et al. Recent trends in biosensors for environmental quality monitoring. Sensors. 2022;22(4):1513. doi: 10.3390/s22041513 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lee SH, Sung JH, Park TH. Nanomaterial-based biosensor as an emerging tool for biomedical applications. Ann Biomed Eng. 2012;40:1384–1397. doi: 10.1007/s10439-011-0457-4 [DOI] [PubMed] [Google Scholar]
- 44.Ahmad R, Wolfbeis OS, Hahn YB, et al. Deposition of nanomaterials: a crucial step in biosensor fabrication. Mater Today Commun. 2018;17:289–321. doi: 10.1016/j.mtcomm.2018.09.024 [DOI] [Google Scholar]
- 45.Naresh V, Lee N. A review on biosensors and recent development of nanostructured materials-enabled biosensors. Sensors. 2021;21(4):1109. doi: 10.3390/s21041109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bhattarai P, Hameed S. Basics of biosensors and nanobiosensors. Nanobiosensors. 2020;1–22. doi: 10.1002/9783527345137.ch1 [DOI] [Google Scholar]; •This article by Bhattarai and Hameed gives a brief outlook of the perspective of biosensors concerning their working principle, characteristics features, types and applications in various sectors. Our prime input in the article was related to various types of biosensors fabricated and reported in the literature for pathogenic microbial strain detections.
- 47.Ramesh M, Janani R, Deepa C, et al. Nanotechnology-enabled biosensors: a review of fundamentals, design principles, materials, and applications. Biosens J. 2022;13:1–40. doi: 10.3390/bios13010040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Sharma K, Sharma M. Optical biosensors for environmental monitoring: recent advances and future perspectives in bacterial detection. EnvironRes. 2023;236(2):116826. doi: 10.1016/j.envres.2023.116826 [DOI] [PubMed] [Google Scholar]
- 49.Lin YH, Chen SH, Chuang YC, et al. Disposable amperometric immunosensing strips fabricated by Au nanoparticles-modified screen-printed carbon electrodes for the detection of foodborne pathogen Escherichia coli O157: h7. BiosensBioelectron. 2008;23(12):1832–1837. doi: 10.1016/j.bios.2008.02.030 [DOI] [PubMed] [Google Scholar]
- 50.Huang Y, Wu Z, Zhao G, et al. A label-free electrochemical Immunosensor modified with AuNPs for quantitative detection of Escherichia coli O157: h7. J Electron Mater. 2019;48:7960–7969. doi: 10.1007/s11664-019-07527-6 [DOI] [Google Scholar]
- 51.Mo X, Wu Z, Huang J, et al. A sensitive and regenerative electrochemical immunosensor for quantitative detection of Escherichia coli O157: h7 based on stable polyaniline coated screen-printed carbon electrode and rGO-NR-Au@ Pt. J Anal Chem. 2019;11(11):1475–1482. doi: 10.1039/C8AY02594K [DOI] [Google Scholar]
- 52.Vu QK, Tran QH, Vu NP, et al. A label-free electrochemical biosensor based on screen-printed electrodes modified with gold nanoparticles for quick detection of bacterial pathogens. Mater Today Commun. 2021;26:101726. doi: 10.1016/j.mtcomm.2020.101726 [DOI] [Google Scholar]
- 53.Savas S, Saricam M. Rapid method for detection of Vibrio cholerae from drinking water with nanomaterials enhancing electrochemical biosensor. J Microbiol Methods. 2024;216:106862. doi: 10.1016/j.mimet.2023.106862 [DOI] [PubMed] [Google Scholar]
- 54.Fang S, Song D, Zhuo Y, et al. Simultaneous and sensitive determination of Escherichia coli O157: H7 and Salmonella Typhimurium using evanescent wave dual-color fluorescence aptasensor based on micro/nano size effect. BiosensBioelectron. 2021;185:113288. doi: 10.1016/j.bios.2021.113288 [DOI] [PubMed] [Google Scholar]
- 55.Song X, Lv MM, Lv QY, et al. A novel assay strategy based on isothermal amplification and cascade signal amplified electrochemical DNA sensor for sensitive detection of Helicobacter pylori. Microchem J. 2021;166:106243. doi: 10.1016/j.microc.2021.106243 [DOI] [Google Scholar]
- 56.Cai R, Zhang Z, Chen H, et al. A versatile signal-on electrochemical biosensor for Staphylococcus aureus based on triple-helix molecular switch. Sens Actuators B Chem. 2021;326:128842. doi: 10.1016/j.snb.2020.128842 [DOI] [Google Scholar]
- 57.Hou Y, Zhu L, Hao H, et al. A novel photoelectrochemical aptamer sensor based on rare-earth doped Bi2WO6 and Ag2S for the rapid detection of Vibrio parahaemolyticus. Microchem J. 2021;165:106132. doi: 10.1016/j.microc.2021.106132 [DOI] [Google Scholar]
- 58.Gao X, Zhang H, Liu L, et al. Nano-biosensor based on manganese dioxide nanosheets and carbon dots for dual-mode determination of Staphylococcus aureus. Food Chem. 2024;432:137144. doi: 10.1016/j.foodchem.2023.137144 [DOI] [PubMed] [Google Scholar]
- 59.Sheini A. A point-of-care testing sensor based on fluorescent nanoclusters for rapid detection of septicemia in children. Sens Actuators B Chem. 2021;328:129029. doi: 10.1016/j.snb.2020.129029 [DOI] [Google Scholar]; •This article has been highlighted as it deals with gold and copper nanocluster-based microfluidic paper devices for sensitive and selective detection of bacteria in clinical cultures for diagnosis of septicemia. This will provide the reader with a good concept regarding designing aspect of simple, economical and easy to use of biosensors for disease diagnosis as the authors have developed a point-of-care testing sensor that is based on fluorescent nanoclusters for the rapid examination of pathogenic microorganisms in serum samples, including Staphylococcus aureus, Streptococcus pyogenes, Escherichia coli and Pseudomonas aeruginosa.
- 60.Gu C, Singh R, Zhang B, et al. Dual-mode immunochromatographic biosensor enhanced with CuS @ Au-nanocomposites for rapid detection of Shigella Sonnei. IEEE Sens J. 2024;24(18):28776–28783. doi: 10.1109/JSEN.2024.3439631 [DOI] [Google Scholar]
- 61.Zhang Y, Yan L, Tian L, et al. Electrochemiluminescent biosensor based on AuNPs@ PEI/MWCNTs and OMC@ Ru (bpy) 32+ for the detection of Vibrio parahaemolyticus. Electrochim Acta. 2024;480(143932):1–8. doi: 10.1016/j.electacta.2024.143932 [DOI] [Google Scholar]
- 62.Yang B, Zeng X, Ge Y, et al. A new method for rapid, portable, low-cost detection of Clostridium perfringens β2 toxin in animal fecal using smartphone-based electrochemical immunosensor. Microchem J. 2024;198:110138. doi: 10.1016/j.microc.2024.110138 [DOI] [Google Scholar]
- 63.Goel H, Patel M, Chaturvedi M, et al. Polydopamine functionalized Ti3AlC2 MAX based electrochemical biosensor for early and sensitive detection of Mycobacterium tuberculosis. Microchem J. 2024;197:109899. doi: 10.1016/j.microc.2024.109899 [DOI] [Google Scholar]
- 64.Goikoetxea G, Akhtar K-TK, Prysiazhniuk A, et al. Fluorescent and electrochemical detection of nuclease activity associated with Streptococcus pneumoniae using specific oligonucleotide probes. Analyst. 2024;149(4):1289–1296. doi: 10.1039/D3AN01532G [DOI] [PubMed] [Google Scholar]
- 65.Huang F, Xue L, Qi W, et al. An ultrasensitive impedance biosensor for Salmonella detection based on rotating high gradient magnetic separation and cascade reaction signal amplification. BiosensBioelectron. 2021;176:112921. doi: 10.1016/j.bios.2020.112921 [DOI] [PubMed] [Google Scholar]
- 66.Vu QK, Tran QH, Vu NP, et al. A label-free electrochemical biosensor based on screen-printed electrodes modified with gold nanoparticles for quick detection of bacterial pathogens. Mater Today Commun. 2021:26:101726. doi: 10.1016/j.mtcomm.2020.101726 [DOI] [Google Scholar]
- 67.Melo AMA, Furtado RF, Fatima Borges M, et al. Performance of an amperometric immunosensor assembled on carboxymethylated cashew gum for Salmonella detection. Microchem J. 2021;167:106268. doi: 10.1016/j.microc.2021.106268 [DOI] [Google Scholar]
- 68.Ma X, Qin M, Tian X, et al. Rapid detection of Aeromonas hydrophila with a DNAzyme-based sensor. Food Control. 2021;123:107829. doi: 10.1016/j.foodcont.2020.107829 [DOI] [Google Scholar]
- 69.Dizaji AN, Ali Z, Ghorbanpoor H, et al. Electrochemical-based “antibiotsensor” for the whole-cell detection of the vancomycin-susceptible bacteria. Talanta. 2021;234:122695. doi: 10.1016/j.talanta.2021.122695 [DOI] [PubMed] [Google Scholar]
- 70.Nakama K, Sedki M, Mulchandani A. Label-free chemiresistor biosensor based on reduced graphene oxide and M13 bacteriophage for detection of coliforms. Anal Chim Acta. 2021;1150:338232. doi: 10.1016/j.aca.2021.338232 [DOI] [PubMed] [Google Scholar]
- 71.Saadati A, Ehsani M, Hasanzadeh M, et al. An innovative flexible and portable DNA based biodevice towards sensitive identification of Haemophilus influenzae bacterial genome: a new platform for the rapid and low cost recognition of pathogenic bacteria using point of care (POC) analysis. Microchem J. 2021;169:106610. doi: 10.1016/j.microc.2021.106610 [DOI] [Google Scholar]
- 72.Bu S, Liu X, Wang Z, et al. Ultrasensitive detection of pathogenic bacteria by CRISPR/Cas12a coupling with a primer exchange reaction. Sens Actuators B Chem. 2021;347:130630. doi: 10.1016/j.snb.2021.130630 [DOI] [Google Scholar]
- 73.Hu J, Tang F, Wang L, et al. Nanozyme sensor based-on platinum-decorated polymer nanosphere for rapid and sensitive detection of Salmonella typhimurium with the naked eye. Sens Actuators B Chem. 2021;346:130560. doi: 10.1016/j.snb.2021.130560 [DOI] [Google Scholar]
- 74.Jiang H, Jiang D, Liu X, et al. A self-driven PET chip-based imprinted electrochemical sensor for the fast detection of Salmonella. Sens. Actuators B Chem. 2021;349:130785. doi: 10.1016/j.snb.2021.130785 [DOI] [Google Scholar]
- 75.Kadadou D, Tizani L, Wadi VS, et al. Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater. J Environ Chem Eng. 2022;10(1):107070. doi: 10.1016/j.jece.2021.107070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Shi Y, Zhou Q, Dong S, et al. Rapid, visual, label-based biosensor platform for identification of hepatitis C virus in clinical applications. BMC Microbiol. 2024;24(1):68. doi: 10.1186/s12866-024-03220-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Cheng R, Li LT, Huang H, et al. Highly sensitive plasmonic biosensor for hepatitis B virus DNA based on the surface etching of the active helical gold nanorods. J Chem Eng. 2023;468:143627. doi: 10.1016/j.cej.2023.143627 [DOI] [Google Scholar]; •Section 4.2 of this manuscript discusses biosensors designed for identification and detection of viruses and the highlighted article is about a plasmonic biosensor for hepatitis B virus detection. This approach was also universal and gave rise to a novel concept for the early detection of additional viral nucleic acids, including HIV and the hepatitis C virus. Thus, strengthening our manuscript.
- 78.Duyen VTC, Van Toi V, Van Hoi T, et al. A novel colorimetric biosensor for rapid detection of dengue virus upon acid-induced aggregation of colloidal gold. J Anal Chem. 2023;15(32):3991–3999. doi: 10.1039/D3AY00756A [DOI] [PubMed] [Google Scholar]
- 79.Uygun ZO, Tasoglu S. Impedimetric antimicrobial peptide biosensor for the detection of HIV envelope protein gp120. iscience. 2024;27(3):1–12. doi: 10.1016/j.isci.2024.109190 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Yang Y, Bu S, Zhang X, et al. Influenza virus detection using an electrochemical biosensor based on DSN and RCA. Microchem J. 2024;199:109998. doi: 10.1016/j.microc.2024.109998 [DOI] [Google Scholar]
- 81.Do Couto MTT, Da Silva Júnior AG, Dos Santos Avelino KYP, et al. Development of optical and electrochemical immunodevices for dengue virus detection. J Anal Methods. 2024;16(22):3539–3550. doi: 10.1039/D4AY00514G [DOI] [PubMed] [Google Scholar]
- 82.Khan R, Deshpande AS, Proteasa G, et al. Aptamer-based electrochemical biosensor with S protein binding affinity for COVID-19 detection: integrating computational design with experimental validation of S protein binding affinity. Sens Actuators B Chem. 2024;399:134775. doi: 10.1016/j.snb.2023.134775 [DOI] [Google Scholar]
- 83.Jang M, Lee M, Sohn H, et al. Fabrication of rapid electrical pulse-based biosensor consisting of truncated DNA aptamer for Zika virus envelope protein detection in clinical samples. J Mater. 2023;16(6):2355. doi: 10.3390/ma16062355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Kirichenko A, Bryushkova E, Dedkov V, et al. A novel DNAzyme-based fluorescent biosensor for detection of RNA-containing Nipah Henipavirus. Biosensors. 2023;13(2):252. doi: 10.3390/bios13020252 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Can GK, Perk B, Çitil BE, et al. Electrochemical immunoassay platform for human Monkeypox virus detection. Anal Chem. 2024;96(21):8342–8348. doi: 10.1021/acs.analchem.3c05182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Yadav M, Dhanda M, Arora R, et al. A TiO2-adenine nanocomposite as modification material for screen-printed gold electrode to detect H1N1 (swine flu) virus: a disposable genosensor. Microchem J. 2024;197:109831. doi: 10.1016/j.microc.2023.109831 [DOI] [Google Scholar]
- 87.Shariati M, Vaezjalali M, Sadeghi M. Ultrasensitive and easily reproducible biosensor based on novel doped MoS2 nanowires field-effect transistor in label-free approach for detection of hepatitis B virus in blood serum. Anal Chim Acta. 2021;1156:338360. doi: 10.1016/j.aca.2021.338360 [DOI] [PubMed] [Google Scholar]
- 88.Wang L, Liang K, Feng W, et al. Molecularly imprinted polymers based on magnetically fluorescent metal–organic frameworks for the selective detection of hepatitis A virus. Microchem J. 2021;164:106047. doi: 10.1016/j.microc.2021.106047 [DOI] [Google Scholar]
- 89.Lee Y, Choi J, Han H-K, et al. Fabrication of ultrasensitive electrochemical biosensor for dengue fever viral RNA Based on CRISPR/Cpf1 reaction. Sens Actuators B Chem. 2021;326:128677. doi: 10.1016/j.snb.2020.128677 [DOI] [Google Scholar]
- 90.Zhao KR, Wang L, Liu PF, et al. A signal-switchable electrochemiluminescence biosensor based on the integration of spherical nucleic acid and CRISPR/Cas12a for multiplex detection of HIV/HPV DNAs. Sens Actuators B Chem. 2021;346:130485. doi: 10.1016/j.snb.2021.130485 [DOI] [Google Scholar]
- 91.Liu PF, Zhao KR, Liu ZJ, et al. Cas12a-based electrochemiluminescence biosensor for target amplification-free DNA detection. BiosensBioelectron. 2021;176:112954. doi: 10.1016/j.bios.2020.112954 [DOI] [PubMed] [Google Scholar]
- 92.Wang C, Wang C, Wang X, et al. Magnetic SERS strip for sensitive and simultaneous detection of respiratory viruses. ACS Appl Mater Interfaces. 2019;11(21):19495–19505. doi: 10.1021/acsami.9b03920 [DOI] [PubMed] [Google Scholar]
- 93.Boonkaew S, Yakoh A, Chuaypen N, et al. An automated fast-flow/delayed paper-based platform for the simultaneous electrochemical detection of hepatitis B virus and hepatitis C virus core antigen. BiosensBioelectron. 2021;193:113543. doi: 10.1016/j.bios.2021.113543 [DOI] [PubMed] [Google Scholar]
- 94.Liu J, Zhang X, Zheng J, et al. A lateral flow biosensor for rapid detection of Singapore grouper iridovirus (SGIV). Aquaculture. 2021;541:736756. doi: 10.1016/j.aquaculture.2021.736756 [DOI] [Google Scholar]
- 95.Shin M, Yoon J, Yi C, et al. Flexible HIV-1 biosensor based on the Au/MoS2 nanoparticles/Au nanolayer on the PET substrate. Nanomaterials. 2019;9(8):1076. doi: 10.3390/nano9081076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Gupta R, Raza N, Bhardwaj SK, et al. Advances in nanomaterial-based electrochemical biosensors for the detection of microbial toxins, pathogenic bacteria in food matrices. J Hazard Mater. 2021;401:123379. doi: 10.1016/j.jhazmat.2020.123379 [DOI] [PubMed] [Google Scholar]
- 97.Zheng Y, Qiu X, Han D, et al. Bifunctional nanomaterial with antibody-like and electrocatalytic activity to facilitate electrochemical biosensor of Escherichia coli. J Electroanal Chem. 2023;935:117303. doi: 10.1016/j.jelechem.2023.117303 [DOI] [Google Scholar]; •Nanomaterials have proven to be smart materials that boosted the development in the field of biosensor designing. The highlighted articles cover the role of electrochemical sensors based on bifunctional nanomaterial for bacterial detection in a simple and understandable way. The future of biosensor technology will rely on the extensive utilization and development of such smart materials that have been incorporated and highlighted in our manuscript.
- 98.Mathelié-Guinlet M, Cohen-Bouhacina T, Gammoudi I, et al. Silica nanoparticles-assisted electrochemical biosensor for the rapid, sensitive and specific detection of Escherichia coli. Sens Actuators B Chem. 2019;292:314–320. doi: 10.1016/j.snb.2019.03.144 [DOI] [Google Scholar]
- 99.Lai HC, Chin SF, Pang SC, et al. Carbon nanoparticles based electrochemical biosensor strip for detection of Japanese encephalitis virus. J Nanomater. 2017;2017(1):3615707. doi: 10.1155/2017/3615707 [DOI] [Google Scholar]
- 100.Karakuş E, Erdemir E, Demirbilek N, et al. Colorimetric and electrochemical detection of SARS-CoV-2 spike antigen with a gold nanoparticle-based biosensor. Anal Chim Acta. 2021;1182:338939. doi: 10.1016/j.aca.2021.338939 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Liu PF, Zhao KR, Liu ZJ, et al. Cas12a-based electrochemiluminescence biosensor for target amplification-free DNA detection. BiosensBioelectron. 2021;176:112954. doi: 10.1016/j.bios.2020.112954 [DOI] [PubMed] [Google Scholar]
- 102.Liang M, Yan X. Nanozymes: from new concepts, mechanisms, and standards to applications. Acc Chem Res. 2019;52(8):2190–2200. doi: 10.1021/acs.accounts.9b00140 [DOI] [PubMed] [Google Scholar]
- 103.Shi K, Xie S, Tian R, et al. A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics. Sci Adv. 2021;7(5):7802. doi: 10.1126/sciadv.abc7802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Shen Z, Ni S, Yang W, et al. Redox probes tagged electrochemical aptasensing device for simultaneous detection of multiple cytokines in real time. Sens Actuators B Chem. 2021;336:129747. doi: 10.1016/j.snb.2021.129747 [DOI] [Google Scholar]
- 105.Yang Y, Gao W. Wearable and flexible electronics for continuous molecular monitoring. Chem Soc Rev. 2019;48(6):1465–1491. doi: 10.1039/C7CS00730B [DOI] [PubMed] [Google Scholar]; •This highlighted article was about biosensors as a tool for real-time analysis and its effectiveness in the healthcare sector for continuous monitoring of physiological variables. This article gives us an insight into the latest generation of flexible and wearable sensors of interest. Such biosensors created the possibility of gathering extensive data regarding a person’s dynamic health status at the molecular level. Thus, we were able to formulate the challenges in designing biosensors for real-time analysis perspective in our manuscript.
- 106.Cao C, Zhang F, Goldys EM, et al. Advances in structure-switching aptasensing towards real time detection of cytokines. Trends Anal Chem. 2018;102:379–396. doi: 10.1016/j.trac.2018.03.002 [DOI] [Google Scholar]
- 107.Merkoçi A, Dincer C, Bruch R, et al. Disposable sensors in diagnostics, food, and environmental monitoring. J Adv Mater. 2019;31(30):1–28. doi: 10.1002/adma.201806739 [DOI] [PubMed] [Google Scholar]
- 108.Cinti S, Moscone D, Arduini F. Preparation of paper-based devices for reagentless electrochemical (bio) sensor strips. Nat Protoc. 2019;14(8):2437–2451. doi: 10.1038/s41596-019-0186-y [DOI] [PubMed] [Google Scholar]
- 109.Liu L, Yang D, Liu G. Signal amplification strategies for paper-based analytical devices. BiosensBioelectron. 2019;136:60–75. doi: 10.1016/j.bios.2019.04.043 [DOI] [PubMed] [Google Scholar]
- 110.Singh S, Kumar V, Dhanjal DS, et al. Biological biosensors for monitoring and diagnosis. Microb Biotechnol. 2020;14:317–335. doi: 10.1007/978-981-15-2817-0_14 [DOI] [Google Scholar]
