Abstract
Pathogenic bacterial detection is a significant concern for the well-being of all human beings. These tiny microbes are capable of causing numerous diseases, which can be nipped in the bud through proper monitoring and controlling at the early stages itself. Some common pathogenic bacteria include Mycobacterium tuberculosis, Bacillus anthracis, Streptococcus pneumoniae, Escherichia coli, Salmonella spp., etc. These microbes contaminate air, food, and water through different modes of transmission. The classical methods used for the identification of these bacteria are time-killing and backbreaking. Rapid pathogenic bacteria determination became possible through the intervention of biosensors. Biosensors are further modified with nanoparticles to build nanobiosensors that are tenfold efficient in bacterial detection. The optical and electrochemical nanobiosensors provide hassle-free detection of pathogenic bacteria, and point-of-care detection is also possible. This book chapter aims to give a brief idea about nanobiosensors starting from the principle to the advantages and disadvantages of bacterial detection. Relevant works of literature on different methods to detect bacteria, types of nanobiosensors, and their efficacy in pathogenic bacterial detection portray the current stand and the need for more innovations in the area of nanobiosensors.
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References
Agranovski IE (2007) Personal sampler for viable airborne microorganisms: main development stages. Clean—Soil, Air, Water 35(1):111–117. https://doi.org/10.1002/clen.200600020
Alamer S, Eissa S, Chinnappan R, Zourob M (2018) A rapid colorimetric immunoassay for the detection of pathogenic bacteria on poultry processing plants using cotton swabs and nanobeads. Mikrochim Acta 185(3):164
Ali MM et al (2019) A DNAzyme-based colorimetric paper sensor for Helicobacter pylori. Angew Chem Int Ed Engl 58(29):9907–9911
Alvarez AJ et al (1994) Use of solid-phase PCR for enhanced detection of airborne microorganisms. Appl Environ Microbiol 60(1):374–376
Ann Maria CG, Akshaya KB, Rison S, Varghese A, George L (2020) Molecularly imprinted PEDOT on carbon fiber paper electrode for the electrochemical determination of 2,4-dichlorophenol. Synth Met 261:116309. https://doi.org/10.1016/j.synthmet.2020.116309
Bayguinov PO, Oakley DM, Shih C-C, Geanon DJ, Joens MS, Fitzpatrick JAJ (2018) Modern laser scanning confocal microscopy. Curr Protoc Cytom 85(1):e39
Bhardwaj SK et al (2021) Recent progress in nanomaterial-based sensing of airborne viral and bacterial pathogens. Environ Int 146:106183
Bhatnagar I, Mahato K, Ealla KKR, Asthana A, Chandra P (2018) Chitosan stabilized gold nanoparticle mediated self-assembled gliP nanobiosensor for diagnosis of Invasive Aspergillosis. Int J Biol Macromol 110:449–456
Bhattarai P, Hameed S (2020) Basics of biosensors and nanobiosensors. Nanobiosensors. https://doi.org/10.1002/9783527345137.ch1
Burge HA, Solomon WR (1987) Sampling and analysis of biological aerosols. Atmos Environ (1967) 21(2):451–456. https://doi.org/10.1016/0004-6981(87)90026-6
Chen Y, Li Y, Yang Y, Wu F, Cao J, Bai L (2017) A polyaniline-reduced graphene oxide nanocomposite as a redox nanoprobe in a voltammetric DNA biosensor for Mycobacterium tuberculosis. Microchim Acta 184(6):1801–1808. https://doi.org/10.1007/s00604-017-2184-5
Chen X, Kumari D, Achal V (2020) A review on airborne microbes: the characteristics of sources, pathogenicity and geography. Atmosphere 11(9):919. https://doi.org/10.3390/atmos11090919
Christopher FC, Kumar PS, Christopher FJ, Joshiba GJ, Madhesh P (2020) Recent advancements in rapid analysis of pesticides using nano biosensors: a present and future perspective. J Clean Prod 269:122356. https://doi.org/10.1016/j.jclepro.2020.122356
Chung N, Ramakrishnan SR, Kwon J-H (2019) Experimental validation and evaluation of electronic sensing techniques for rapid discrimination of electron-beam, γ-ray, and X-ray irradiated dried green onions (Allium fistulosum). J Food Sci Technol 56(12):5454–5464
De Paepe B, Maertens J, Vanholme B, De Mey M (2019) Chimeric LysR-type transcriptional biosensors for customizing ligand specificity profiles toward flavonoids. ACS Synth Biol 8(2):318–331
Denmark DJ, Mohapatra S, Mohapatra SS (2020) Point-of-care diagnostics: molecularly imprinted polymers and nanomaterials for enhanced biosensor selectivity and transduction. EuroBiotech J 4(4):184–206. https://doi.org/10.2478/ebtj-2020-0023
Ertürk G, Mattiasson B (2017) Molecular imprinting techniques used for the preparation of biosensors. Sensors 17(2):288. https://doi.org/10.3390/s17020288
Feigelman R et al (2017) Sputum DNA sequencing in cystic fibrosis: non-invasive access to the lung microbiome and to pathogen details. Microbiome 5(1):20
Fronczek CF, Yoon J-Y (2015) Biosensors for monitoring airborne pathogens. J Lab Autom 20(4):390–410
Ghouri F, Hollywood A, Ryan K (2020) ‘There is no choice apart from antibiotics…’: qualitative analysis of views on urinary infections in pregnancy and antimicrobial resistance. Health Expect 23(3):644–650. https://doi.org/10.1111/hex.13044
Gibson B, Wilson DJ, Feil E, Eyre-Walker A (1880) The distribution of bacterial doubling times in the wild. Proc Biol Sci 285:2018. https://doi.org/10.1098/rspb.2018.0789
Gill WP, Harik NS, Whiddon MR, Liao RP, Mittler JE, Sherman DR (2009) A replication clock for Mycobacterium tuberculosis. Nat Med 15(2):211–214
Grewal MK, Jaiswal P, Jha SN (2015) Detection of poultry meat specific bacteria using FTIR spectroscopy and chemometrics. J Food Sci Technol 52(6):3859–3869
Grisoli P et al (2009) Assessment of airborne microorganism contamination in an industrial area characterized by an open composting facility and a wastewater treatment plant. Environ Res 109(2):135–142. https://doi.org/10.1016/j.envres.2008.11.001
Guo Y et al (2015) Electrochemical immunosensor assay (EIA) for sensitive detection of E. coli O157:H7 with signal amplification on a SG–PEDOT–AuNPs electrode interface. Analyst 140(2):551–559. https://doi.org/10.1039/c4an01463d
Gupta R, Raza N, Bhardwaj SK, Vikrant K, Kim K-H, Bhardwaj N (2021) Advances in nanomaterial-based electrochemical biosensors for the detection of microbial toxins, pathogenic bacteria in food matrices. J Hazard Mater 401:123379
Hameed S, Xie L, Ying Y (2018) Conventional and emerging detection techniques for pathogenic bacteria in food science: a review. Trends Food Sci Technol 81:61–73. https://doi.org/10.1016/j.tifs.2018.05.020
Ho C-S et al (2019) Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning. Nat Commun 10(1):4927
Hospodsky D, Yamamoto N, Peccia J (2010) Accuracy, precision, and method detection limits of quantitative PCR for airborne bacteria and fungi. Appl Environ Microbiol 76(21):7004–7012
Hsiao P-K, Cheng C-C, Chang K-C, Yiin L-M, Hsieh C-J, Tseng C-C (2014) Performance of CHROMagar VRE medium for the detection of airborne vancomycin-resistant/sensitive Enterococcus species. Aerosol Sci Technol 48(2):173–183. https://doi.org/10.1080/02786826.2013.865833
Jamali AA, Pourhassan-Moghaddam M, Dolatabadi JEN, Omidi Y (2014) Nanomaterials on the road to microRNA detection with optical and electrochemical nanobiosensors. TrAC Trends Anal Chem 55:24–42. https://doi.org/10.1016/j.trac.2013.10.008
Juska VB, Pemble ME (2020) A critical review of electrochemical glucose sensing: evolution of biosensor platforms based on advanced nanosystems. Sensors 20(21). https://doi.org/10.3390/s20216013
Kalali B, Formichella L, Gerhard M (2015) Diagnosis of Helicobacter pylori: changes towards the future. Diseases 3(3):122–135. https://doi.org/10.3390/diseases3030122
Källenius G, Pawlowski A, Hamasur B, Svenson SB (2008) Mycobacterial glycoconjugates as vaccine candidates against tuberculosis. Trends Microbiol 16(10):456–462
Kuss S, Amin HMA, Compton RG (2018) Electrochemical detection of pathogenic bacteria-recent strategies, advances and challenges. Chem Asian J 13(19):2758–2769
Kwon H-J, Fronczek CF, Angus SV, Nicolini AM, Yoon J-Y (2014) Rapid and sensitive detection of H1N1/2009 virus from aerosol samples with a microfluidic immunosensor. J Lab Autom 19(3):322–331
Lee YH et al (2020) Maternal bacterial infection during pregnancy and offspring risk of psychotic disorders: variation by severity of infection and offspring sex. Am J Psychiatry 177(1):66–75
Lin H-H, Dowdy D, Dye C, Murray M, Cohen T (2012) The impact of new tuberculosis diagnostics on transmission: why context matters. Bull World Health Organ 90(10):739–747A
Ling S, Hui L (2019) Evaluation of the complexity of indoor air in hospital wards based on PM2.5, real-time PCR, adenosine triphosphate bioluminescence assay, microbial culture and mass spectrometry. BMC Infect Dis 19(1):646. https://doi.org/10.1186/s12879-019-4249-z
Liu Y, Cao Y, Wang T, Dong Q, Li J, Niu C (2019) Detection of 12 common food-borne bacterial pathogens by TaqMan real-time PCR using a single set of reaction conditions. Front Microbiol 10:222
Magana-Arachchi DN, Wanigatunge RP (2020) Ubiquitous waterborne pathogens. In: Waterborne pathogens. pp 15–42. https://doi.org/10.1016/b978-0-12-818783-8.00002-5
Mairhofer J, Roppert K, Ertl P (2009) Microfluidic systems for pathogen sensing: a review. Sensors 9(6):4804–4823
Meng X, Yang G, Li F, Liang T, Lai W, Xu H (2017) Sensitive detection of Staphylococcus aureus with vancomycin-conjugated magnetic beads as enrichment carriers combined with flow cytometry. ACS Appl Mater Interfaces 9(25):21464–21472
Millet J-P et al (2013) Factors that influence current tuberculosis epidemiology. Eur Spine J 22(S4):539–548. https://doi.org/10.1007/s00586-012-2334-8
Nguyen TT, Trinh KTL, Yoon WJ, Lee NY, Ju H (2017) Integration of a microfluidic polymerase chain reaction device and surface plasmon resonance fiber sensor into an inline all-in-one platform for pathogenic bacteria detection. Sensors Actuators B Chem 242:1–8. https://doi.org/10.1016/j.snb.2016.10.137
Pang B et al (2018) Development of a low-cost paper-based ELISA method for rapid Escherichia coli O157:H7 detection. Anal Biochem 542:58–62
Peng P et al (2017) Fabrication of an electrochemical sensor for Helicobacter pylori in excrement based on a gold electrode. Int J Electrochem Sci 12:9478–9487. https://doi.org/10.20964/2017.10.19
Perumal V, Hashim U (2014) Advances in biosensors: principle, architecture and applications. J Appl Biomed 12(1):1–15. https://doi.org/10.1016/j.jab.2013.02.001
Purwidyantri A et al (2016) Spin-coated Au-nanohole arrays engineered by nanosphere lithography for a Staphylococcus aureus 16S rRNA electrochemical sensor. Biosens Bioelectron 77:1086–1094
Rule AM, Schwab KJ, Kesavan J, Buckley TJ (2009) Assessment of bioaerosol generation and sampling efficiency based on Pantoea agglomerans. Aerosol Sci Technol 43(6):620–628. https://doi.org/10.1080/02786820902806709
Savas S, Altintas Z (2019) Graphene quantum dots as nanozymes for electrochemical sensing of in milk and human serum. Materials 12(13). https://doi.org/10.3390/ma12132189
Sawyer MH, Chamberlin CJ, Wu YN, Aintablian N, Wallace MR (1994) Detection of varicella-zoster virus DNA in air samples from hospital rooms. J Infect Dis 169(1):91–94
Seo SE et al (2019) Smartphone with optical, physical, and electrochemical nanobiosensors. J Ind Eng Chem 77:1–11. https://doi.org/10.1016/j.jiec.2019.04.037
Sharma A, Sharma N, Kumari A, Lee H-J, Kim T, Tripathi KM (2020) Nano-carbon based sensors for bacterial detection and discrimination in clinical diagnosis: a junction between material science and biology. Appl Mater Today 18:100467. https://doi.org/10.1016/j.apmt.2019.100467
Skládal P et al (2012) Electrochemical immunosensor coupled to cyclone air sampler for detection of Escherichia coli DH5α in bioaerosols. Electroanalysis 24(3):539–546. https://doi.org/10.1002/elan.201100448
Srivastava AK, Dev A, Karmakar S (2018) Nanosensors and nanobiosensors in food and agriculture. Environ Chem Lett 16(1):161–182. https://doi.org/10.1007/s10311-017-0674-7
Stetzenbach LD, Buttner MP, Cruz P (2004) Detection and enumeration of airborne biocontaminants. Curr Opin Biotechnol 15(3):170–174
Valera AE, Nesbitt NT, Archibald MM, Naughton MJ, Chiles TC (2019) On-chip electrochemical detection of cholera using a polypyrrole-functionalized dendritic gold sensor. ACS Sens 4(3):654–659
Vidic J, Chaix C, Manzano M, Heyndrickx M (2020) Food sensing: detection of spores in dairy products. Biosensors 10(3). https://doi.org/10.3390/bios10030015
Wahab RA et al (2020) On the taught new tricks of enzymes immobilization: an all-inclusive overview. React Funct Polym 152:104613
Wen C-Y et al (2013) One-step sensitive detection of Salmonella typhimurium by coupling magnetic capture and fluorescence identification with functional nanospheres. Anal Chem 85(2):1223–1230
World Health Organization (2013) Global tuberculosis report 2013. World Health Organization
Xu L, Shoaie N, Jahanpeyma F, Zhao J, Azimzadeh M, Al Jamal KT (2020) Optical, electrochemical and electrical (nano)biosensors for detection of exosomes: a comprehensive overview. Biosens Bioelectron 161:112222
Yanase Y et al (2014) Surface plasmon resonance for cell-based clinical diagnosis. Sensors 14(3):4948–4959
Zhang Y et al (2020a) Aptamer-modified sensitive nanobiosensors for the specific detection of antibiotics. J Mater Chem B Mater Biol Med 8(37):8607–8613
Zhang R, Belwal T, Li L, Lin X, Xu Y, Luo Z (2020b) Nanomaterial-based biosensors for sensing key foodborne pathogens: advances from recent decades. Compr Rev Food Sci Food Saf 19(4):1465–1487
Zhou C, Zou H, Li M, Sun C, Ren D, Li Y (2018) Fiber optic surface plasmon resonance sensor for detection of E. coli O157:H7 based on antimicrobial peptides and AgNPs-rGO. Biosens Bioelectron 117:347–353
Zou Y, Liang J, She Z, Kraatz H-B (2019) Gold nanoparticles-based multifunctional nanoconjugates for highly sensitive and enzyme-free detection of E.coli K12. Talanta 193:15–22
Zuo X, Song S, Zhang J, Pan D, Wang L, Fan C (2007) A target-responsive electrochemical aptamer switch (TREAS) for reagentless detection of nanomolar ATP. J Am Chem Soc 129(5):1042–1043
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Agnihotri, A.S., Chungath George, A.M., Marimuthu, N. (2022). Nanobiosensors: A Promising Tool for the Determination of Pathogenic Bacteria. In: Hameed, S., Rehman, S. (eds) Nanotechnology for Infectious Diseases. Springer, Singapore. https://doi.org/10.1007/978-981-16-9190-4_21
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DOI: https://doi.org/10.1007/978-981-16-9190-4_21
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