Skip to main content

Advertisement

SpringerLink
Log in

Research advances and applications of biosensing technology for the diagnosis of pathogens in sustainable agriculture

  • Review Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Plant diseases significantly impact the global economy, and plant pathogenic microorganisms such as nematodes, viruses, bacteria, fungi, and viroids may be the etiology for most infectious diseases. In agriculture, the development of disease-free plants is an important strategy for the determination of the survival and productivity of plants in the field. This article reviews biosensor methods of disease detection that have been used effectively in other fields, and these methods could possibly transform the production methods of the agricultural industry. The precise identification of plant pathogens assists in the assessment of effective management steps for minimization of production loss. The new plant pathogen detection methods include evaluation of signs of disease, detection of cultured organisms, or direct examination of contaminated tissues through molecular and serological techniques. Laboratory-based approaches are costly and time-consuming and require specialized skills. The conclusions of this review also indicate that there is an urgent need for the establishment of a reliable, fast, accurate, responsive, and cost-effective testing method for the detection of field plants at early stages of growth. We also summarized new emerging biosensor technologies, including isothermal amplification, detection of nanomaterials, paper-based techniques, robotics, and lab-on-a-chip analytical devices. However, these constitute novelty in the research and development of approaches for the early diagnosis of pathogens in sustainable agriculture.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

As this is a review article, data availability is not applicable. However, the resource pool can be provided on request.

References

  • Adachi T, Kitazumi Y, Shirai O, Kano K (2020) Development perspective of bioelectrocatalysis-based biosensors. Sensors (Basel) 20(17):4826. https://doi.org/10.3390/s20174826

    Article  CAS  Google Scholar 

  • Al-Hiary H, Bani-Ahmad S, Reyalat M et al (2011) Fast and accurate detection and classification of plant diseases. Int J Comput Appl 17:31–38

    Google Scholar 

  • Ali AA, Altemimi AB, Alhelfi N, Ibrahim SA (2020) Application of biosensors for detection of pathogenic food bacteria: a review. Biosensors 10. https://doi.org/10.3390/BIOS10060058

  • Altschuh D, Dubs M-C, Weiss E, Zeder-Lutz G, van Regenmortel MHV (1992) Determination of kinetic constants for the interaction between a monoclonal antibody and peptides using surface plasmon resonance. Biochemistry 31:6298–6304. https://doi.org/10.1021/bi00142a019

    Article  CAS  Google Scholar 

  • Arachchillaya B (2018) Development and evaluation of a paper based biochemical sensor for realtime detection of food pathogen. Bachelor Proj. 2018

  • Ariga K, McShane M, Lvov YM, Ji Q, Hill JP (2011) Layer-by-layer assembly for drug delivery and related applications. Expert Opin Drug Deliv 8:633–644

    Article  CAS  Google Scholar 

  • Arya H, Kaul Z, Wadhwa R, Taira K, Hirano T, Kaul SC (2005) Quantum dots in bio-imaging: revolution by the small. Biochem Biophys Res Commun 329:1173–1177

    Article  CAS  Google Scholar 

  • Babu B, Washburn BK, Miller SH, Poduch K, Sarigul T, Knox GW, Ochoa-Corona FM, Paret ML (2017) A rapid assay for detection of Rose rosette virus using reverse transcription-recombinase polymerase amplification using multiple gene targets. J Virol Methods 240:78–84

    Article  CAS  Google Scholar 

  • Balasubramanian S, Sorokulova IB, Vodyanoy VJ, Simonian AL (2007) Lytic phage as a specific and selective probe for detection of Staphylococcus aureus—a surface plasmon resonance spectroscopic study. Biosens Bioelectron 22:948–955

    Article  CAS  Google Scholar 

  • Balogh B, Jones JB, Iriarte FB, Momol MT (2010) Phage therapy for plant disease control. Curr Pharm Biotechnol 11:48–57

    Article  CAS  Google Scholar 

  • Barth R, IJsselmuiden J, Hemming J, Van Henten EJ (2018) Data synthesis methods for semantic segmentation in agriculture: a Capsicum annuum dataset. Comput Electron Agric 144:284–296

    Article  Google Scholar 

  • Batchelor-McAuley C, Wildgoose GG, Compton RG (2009) The physicochemical aspects of DNA sensing using electrochemical methods. Biosens Bioelectron 24:3183–3190

    Article  CAS  Google Scholar 

  • Belkin S (2003) Microbial whole-cell sensing systems of environmental pollutants. Curr Opin Microbiol 6:206–212

    Article  CAS  Google Scholar 

  • Bergwerff AA, Van Knapen F (2006) Surface plasmon resonance biosensors for detection of pathogenic microorganisms: strategies to secure food and environmental safety. J AOAC Int 89:826–831

    Article  CAS  Google Scholar 

  • Blackmore BS (2007) A systems view of agricultural robots. In: Proceedings 6th European conference on precision agriculture (ECPA), pp 23–31

  • Boltovets PM, Boyko VR, Kostikov IY, Dyachenko NS, Snopok BA, Shirshov YM (2002) Simple method for plant virus detection: effect of antibody immobilization technique. J Virol Methods 105:141–146

    Article  CAS  Google Scholar 

  • Boonham N, Glover R, Tomlinson J, Mumford R (2008) Exploiting generic platform technologies for the detection and identification of plant pathogens. Sustainable disease management in a European context. Springer, In, pp 355–363

    Google Scholar 

  • Boonham N, Tomlinson J, Mumford R (2007) Microarrays for rapid identification of plant viruses. Annu Rev Phytopathol 45:307–328

    Article  CAS  Google Scholar 

  • Bragazzi NL, Amicizia D, Panatto D, et al (2015) Quartz-crystal microbalance (QCM) for public health: an overview of its applications. 1st edn. Elsevier Inc.

  • Candresse T, Svanella-Dumas L, Gentit P, Caglayan K, Çevik B (2007) First report of the presence of Plum pox virus Rec strain in Turkey. Plant Dis 91:331

    Article  CAS  Google Scholar 

  • Cecchini F, Manzano M, Mandabi Y, Perelman E, Marks RS (2012) Chemiluminescent DNA optical fibre sensor for Brettanomyces bruxellensis detection. J Biotechnol 157:25–30

    Article  CAS  Google Scholar 

  • Champoiseau PG, Jones JB, Allen C (2009) Ralstonia solanacearum Race 3 Biovar 2 causes tropical losses and temperate anxieties. Plant Heal Prog 10:35. https://doi.org/10.1094/php-2009-0313-01-rv

    Article  Google Scholar 

  • Chartuprayoon N, Hangarter CM, Rheem Y, Jung H, Myung NV (2010) Wafer-scale fabrication of single polypyrrole nanoribbon-based ammonia sensor. J Phys Chem C 114:11103–11108

    Article  CAS  Google Scholar 

  • Chartuprayoon N, Rheem Y, Ng JCK, Nam J, Chen W, Myung NV (2013) Polypyrrole nanoribbon based chemiresistive immunosensors for viral plant pathogen detection. Anal Methods 5:3497–3502

    Article  CAS  Google Scholar 

  • Chen H, Heng CK, Puiu PD, Zhou XD, Lee AC, Lim TM, Tan SN (2005) Detection of Saccharomyces cerevisiae immobilized on self-assembled monolayer (SAM) of alkanethiolate using electrochemical impedance spectroscopy. Anal Chim Acta 554:52–59

    Article  CAS  Google Scholar 

  • Chen M, Qin X, Zeng G (2016) Single-walled carbon nanotube release affects the microbial enzyme-catalyzed oxidation processes of organic pollutants and lignin model compounds in nature. Chemosphere 163:217–226. https://doi.org/10.1016/j.chemosphere.2016.08.031

    Article  CAS  Google Scholar 

  • Chen M, Zhou S, Zhu Y, Sun Y, Zeng G, Yang C, Xu P, Yan M, Liu Z, Zhang W (2018a) Toxicity of carbon nanomaterials to plants, animals and microbes: recent progress from 2015-present. Chemosphere 206:255–264. https://doi.org/10.1016/j.chemosphere.2018.05.020

  • Chen Y, Wang Z, Liu Y, Wang X, Li Y, Ma P, Gu B, Li H (2018b) Recent advances in rapid pathogen detection method based on biosensors. Eur J Clin Microbiol Infect Dis 37:1021–1037. https://doi.org/10.1007/s10096-018-3230-x

  • Chiriacò MS, Luvisi A, Primiceri E, Sabella E, de Bellis L, Maruccio G (2018) Development of a lab-on-a-chip method for rapid assay of Xylella fastidiosa subsp. pauca strain CoDiRO. Sci Rep 8:1–8. https://doi.org/10.1038/s41598-018-25747-4

    Article  CAS  Google Scholar 

  • Coy MR, Hoffmann M, Kingdom Gibbard HN, Kuhns EH, Pelz-Stelinski KS, Stelinski LL (2014) Nested-quantitative PCR approach with improved sensitivity for the detection of low titer levels of Candidatus Liberibacter asiaticus in the Asian citrus psyllid, Diaphorina citri Kuwayama. J Microbiol Methods 102:15–22. https://doi.org/10.1016/j.mimet.2014.04.007

    Article  CAS  Google Scholar 

  • Cui F, Xu Y, Wang R, Liu H, Chen L, Zhang Q, Mu X (2018a) Label-free impedimetric glycan biosensor for quantitative evaluation interactions between pathogenic bacteria and mannose. Biosens Bioelectron 103:94–98. https://doi.org/10.1016/j.bios.2017.11.068

  • Cui Z, Luan X, Jiang H, Li Q, Xu G, Sun C, Zheng L, Song Y, Davison PA, Huang WE (2018b) Application of a bacterial whole cell biosensor for the rapid detection of cytotoxicity in heavy metal contaminated seawater. Chemosphere 200:322–329. https://doi.org/10.1016/j.chemosphere.2018.02.097

  • Daher RK, Stewart G, Boissinot M, Boudreau DK, Bergeron MG (2015) Influence of sequence mismatches on the specificity of recombinase polymerase amplification technology. Mol Cell Probes 29:116–121

    Article  CAS  Google Scholar 

  • Daly P, Collier T, Doyle S (2002) PCR-ELISA detection of Escherichia coli in milk. Lett Appl Microbiol 34:222–226

    Article  CAS  Google Scholar 

  • Dickert FL, Hayden O (2002) Bioimprinting of polymers and sol− gel phases. Selective detection of yeasts with imprinted polymers. Anal Chem 74:1302–1306

    Article  CAS  Google Scholar 

  • Dimov IK, Garcia-Cordero JL, O’grady J et al (2008) Integrated microfluidic tmRNA purification and real-time NASBA device for molecular diagnostics. Lab Chip 8:2071–2078

    Article  CAS  Google Scholar 

  • Ding F, Duan Y, Yuan Q, Shao J, Hartung JS (2016) Serological detection of Candidatus Liberibacter asiaticus’ in citrus, and identification by GeLC-MS/MS of a chaperone protein responding to cellular pathogens. Sci Rep 6. https://doi.org/10.1038/srep29272

  • Djelouah K, Frasheri D, Valentini F et al (2014) Direct tissue blot immunoassay for detection of Xylella fastidiosa in olive trees. Phytopathol Mediterr 559–564

  • Drygin YF, Blintsov AN, Grigorenko VG, Andreeva IP, Osipov AP, Varitzev YA, Uskov AI, Kravchenko DV, Atabekov JG (2012) Highly sensitive field test lateral flow immunodiagnostics of PVX infection. Appl Microbiol Biotechnol 93:179–189

    Article  Google Scholar 

  • Dubertret B, Calame M, Libchaber AJ (2001) Single-mismatch detection using gold-quenched fluorescent oligonucleotides. Nat Biotechnol 19:365–370

    Article  CAS  Google Scholar 

  • Dudak FC, Boyacı İH (2009) Rapid and label-free bacteria detection by surface plasmon resonance (SPR) biosensors. Biotechnol J Healthc Nutr Technol 4:1003–1011

    CAS  Google Scholar 

  • Duhan JS, Kumar R, Kumar N, Kaur P, Nehra K, Duhan S (2017) Nanotechnology: the new perspective in precision agriculture. Biotechnol Reports 15:11–23

    Article  Google Scholar 

  • Etefagh R, Azhir E, Shahtahmasebi N (2013) Synthesis of CuO nanoparticles and fabrication of nanostructural layer biosensors for detecting Aspergillus niger fungi. Sci Iran 20:1055–1058

    Google Scholar 

  • Eun AJ, Huang L, Chew F (2002) Detection of two orchid viruses using quartz crystal microbalance (QCM) immunosensors. J Virol Methods 99:71–79

    Article  CAS  Google Scholar 

  • Fang Y, Ramasamy RP (2015) Current and prospective methods for plant disease detection. Biosensors 5:537–561. https://doi.org/10.3390/bios5030537

    Article  CAS  Google Scholar 

  • Fang Z, Wu W, Lu X, Zeng L (2014) Lateral flow biosensor for DNA extraction-free detection of salmonella based on aptamer mediated strand displacement amplification. Biosens Bioelectron 56:192–197

    Article  CAS  Google Scholar 

  • Fountas S, Mylonas N, Malounas I, Rodias E, Hellmann Santos C, Pekkeriet E (2020) Agricultural robotics for field operations. Sensors (Switzerland) 20:1–27. https://doi.org/10.3390/s20092672

    Article  Google Scholar 

  • Fukuta S, Kato S, Yoshida K, Mizukami Y, Ishida A, Ueda J, Kanbe M, Ishimoto Y (2003) Detection of tomato yellow leaf curl virus by loop-mediated isothermal amplification reaction. J Virol Methods 112:35–40

    Article  CAS  Google Scholar 

  • Gaggiotti S, Della Pelle F, Mascini M, Cichelli A, Compagnone D (2020) Peptides, DNA and MIPs in gas sensing. From the realization of the sensors to sample analysis. Sensors (Basel) 20(16):4433. https://doi.org/10.3390/s20164433

    Article  CAS  Google Scholar 

  • Gao L, Zhuang J, Nie L, Zhang J, Zhang Y, Gu N, Wang T, Feng J, Yang D, Perrett S, Yan X (2007) Intrinsic peroxidase-like activity of ferromagnetic nanoparticles. Nat Nanotechnol 2:577–583

    Article  CAS  Google Scholar 

  • Ghorbanpour M, Hadian J (2015) Multi-walled carbon nanotubes stimulate callus induction, secondary metabolites biosynthesis and antioxidant capacity in medicinal plant Satureja khuzestanica grown in vitro. Carbon N Y 94:749–759

    Article  CAS  Google Scholar 

  • Ghosh DK, Motghare M, Gowda S (2018) Citrus greening: overview of the most severe disease of citrus. Adv Agric Res Technol J 2:83–100

    Google Scholar 

  • Goodridge L, Chen J, Griffiths M (1999) The use of a fluorescent bacteriophage assay for detection of Escherichia coli O157: H7 in inoculated ground beef and raw milk. Int J Food Microbiol 47:43–50

    Article  CAS  Google Scholar 

  • Grabowska I, Malecka K, Jarocka U, Radecki J, Radecka H (2014) Electrochemical biosensors for detection of avian influenza virus--current status and future trends. Acta Biochim Pol 61

  • Gutiérrez-Aguirre I, Mehle N, Delić D, Gruden K, Mumford R, Ravnikar M (2009) Real-time quantitative PCR based sensitive detection and genotype discrimination of Pepino mosaic virus. J Virol Methods 162:46–55

    Article  Google Scholar 

  • He P, Liu L, Qiao W, Zhang S (2014) Ultrasensitive detection of thrombin using surface plasmon resonance and quartz crystal microbalance sensors by aptamer-based rolling circle amplification and nanoparticle signal enhancement. Chem Commun 50:1481–1484. https://doi.org/10.1039/c3cc48223e

    Article  CAS  Google Scholar 

  • Jiang B, Zhu D, Song Y, Zhang D, Liu Z, Zhang X, Huang WE, Li G (2015) Use of a whole-cell bioreporter, Acinetobacter baylyi, to estimate the genotoxicity and bioavailability of chromium (VI)-contaminated soils. Biotechnol Lett 37:343–348

    Article  CAS  Google Scholar 

  • Jiang T, Halsall HB, Heineman WR, Giersch T, Hock B (1995) Capillary enzyme immunoassay with electrochemical detection for the determination of atrazine in water. J Agric Food Chem 43:1098–1104

    Article  CAS  Google Scholar 

  • Jiao K, Sun W, Zhang S-S (2000) Sensitive detection of a plant virus by electrochemical enzyme-linked immunoassay. Fresenius J Anal Chem 367:667–671

    Article  CAS  Google Scholar 

  • Julich S, Riedel M, Kielpinski M, Urban M, Kretschmer R, Wagner S, Fritzsche W, Henkel T, Möller R, Werres S (2011) Development of a lab-on-a-chip device for diagnosis of plant pathogens. Biosens Bioelectron 26:4070–4075. https://doi.org/10.1016/j.bios.2011.03.035

    Article  CAS  Google Scholar 

  • Katoh H, Yamazaki S, Fukuda T, Sonoda S, Nishigawa H, Natsuaki T (2020) Detection of Fusarium oxysporum f. sp. fragariae by using loop-mediated isothermal amplification. Plant Dis. doi: 10.1094/PDIS-03-20-0590-RE

  • Kattke MD, Gao EJ, Sapsford KE, Stephenson LD, Kumar A (2011) FRET-based quantum dot immunoassay for rapid and sensitive detection of Aspergillus amstelodami. Sensors 11:6396–6410

    Article  CAS  Google Scholar 

  • Keinan A, Clark AG (2012) Recent explosive human population growth has resulted in an excess of rare genetic variants. Science 336:740–743. https://doi.org/10.1126/science.1217283

    Article  CAS  Google Scholar 

  • Keremane ML, Ramadugu C, Rodriguez E, Kubota R, Shibata S, Hall DG, Roose ML, Jenkins D, Lee RF (2015) A rapid fi eld detection system for citrus huanglongbing associated ‘Candidatus Liberibacter asiaticus’ from the psyllid vector, Diaphorina citri Kuwayama and its implications in disease management. Crop Prot 68:41–48. https://doi.org/10.1016/j.cropro.2014.10.026

    Article  Google Scholar 

  • Khater M, de la Escosura-Muñiz A, Merkoçi A (2017) Biosensors for plant pathogen detection. Biosens Bioelectron 93:72–86. https://doi.org/10.1016/j.bios.2016.09.091

    Article  CAS  Google Scholar 

  • Khedri M, Ramezani M, Rafatpanah H, Abnous K (2018) Detection of food-born allergens with aptamer-based biosensors. TrAC - Trends Anal Chem 103:126–136. https://doi.org/10.1016/j.trac.2018.04.001

    Article  CAS  Google Scholar 

  • Khiyami MA, Almoammar H, Awad YM, Alghuthaymi MA, Abd-Elsalam KA (2014) Plant pathogen nanodiagnostic techniques: forthcoming changes? Biotechnol Biotechnol Equip 28:775–785

    Article  Google Scholar 

  • Lau HY, Botella JR (2017) Advanced DNA-Based Point-of-Care Diagnostic Methods for Plant Diseases Detection. In: Advanced DNA-based point-of-care diagnostic methods for plant diseases detection. Front, Plant Sci

    Chapter  Google Scholar 

  • Lau HY, Wang Y, Wee EJH, Botella JR, Trau M (2016) Field demonstration of a multiplexed point-of-care diagnostic platform for plant pathogens. Anal Chem 88:8074–8081

    Article  CAS  Google Scholar 

  • Lautner G, Balogh Z, Bardóczy V, Mészáros T, Gyurcsányi RE (2010) Aptamer-based biochips for label-free detection of plant virus coat proteins by SPR imaging. Analyst 135:918–926

    Article  CAS  Google Scholar 

  • Lee HY, Jung HS, Fujikawa K, Park JW, Kim JM, Yukimasa T, Sugihara H, Kawai T (2005) New antibody immobilization method via functional liposome layer for specific protein assays. Biosens Bioelectron 21:833–838

    Article  CAS  Google Scholar 

  • Li W, Levy L, Hartung JS (2009) Quantitative distribution of ‘Candidatus Liberibacter asiaticus’ in citrus plants with Citrus Huanglongbing. Phytopathology 99:139–144. https://doi.org/10.1094/phyto-99-2-0139

    Article  Google Scholar 

  • Lillis B, Hurley E, Berney H et al (2006) Investigation into the effect that probe immobilisation method type has on the analytical signal of an EIS DNA biosensor. Biosens Bioelectron 22:1289–1295. https://doi.org/10.1016/j.bios.2006.05.021

    Article  CAS  Google Scholar 

  • Lin H-Y, Huang C-H, Lu S-H, Kuo IT, Chau LK (2014a) Direct detection of orchid viruses using nanorod-based fiber optic particle plasmon resonance immunosensor. Biosens Bioelectron 51:371–378

    Article  CAS  Google Scholar 

  • Lin H, Zhang W, Jia S, Guan Z, Yang CJ, Zhu Z (2014b) Microfluidic approaches to rapid and efficient aptamer selection. Biomicrofluidics 8:1–15. https://doi.org/10.1063/1.4890542

    Article  CAS  Google Scholar 

  • Lin LH, Ntambo MS, Rott PC, Wang QN, Lin YH, Fu HY, Gao SJ (2018) Molecular detection and prevalence of Xanthomonas albilineans, the causal agent of sugarcane leaf scald, in China. Crop Prot 109:17–23. https://doi.org/10.1016/j.cropro.2018.02.027

    Article  CAS  Google Scholar 

  • López MM, Llop P, Olmos A, Marco-Noales E, Cambra M, Bertolini E (2009) Are molecular tools solving the challenges posed by detection of plant pathogenic bacteria and viruses? Curr Issues Mol Biol 11:13–46

    Google Scholar 

  • Luka G, Ahmadi A, Najjaran H, Alocilja E, DeRosa M, Wolthers K, Malki A, Aziz H, Althani A, Hoorfar M (2015) Microfluidics integrated biosensors: a leading technology towards lab-on-a-chip and sensing applications. Sensors (Switzerland) 15:30011–30031. https://doi.org/10.3390/s151229783

    Article  CAS  Google Scholar 

  • Madufor NJK, Perold WJ, Opara UL (2018) Detection of plant diseases using biosensors: a review. Acta Hortic 1201:83–90. https://doi.org/10.17660/ActaHortic.2018.1201.12

    Article  Google Scholar 

  • Mahato K, Srivastava A, Chandra P (2017) Paper based diagnostics for personalized health care: emerging technologies and commercial aspects. Biosens Bioelectron 96:246–259

    Article  CAS  Google Scholar 

  • Mahmud MS, Zaman QU, Esau TJ et al (2019) Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection. Comput Electron Agric 158:219–225

    Article  Google Scholar 

  • Martinelli F, Scalenghe R, Davino S, Panno S, Scuderi G, Ruisi P, Villa P, Stroppiana D, Boschetti M, Goulart LR, Davis CE, Dandekar AM (2015) Advanced methods of plant disease detection. A review. Agron Sustain Dev 35:1–25

    Article  Google Scholar 

  • Martinez AW (2011) Microfluidic paper-based analytical devices: from POCKET to paper-based ELISA. Bioanalysis 3:2589–2592

    Article  CAS  Google Scholar 

  • Masdor NA, Altintas Z, Shukor MY, Tothill IE (2019) Subtractive inhibition assay for the detection of Campylobacter jejuni in chicken samples using surface plasmon resonance. Sci Rep 9:1–10

    Article  CAS  Google Scholar 

  • Mendes RK, Carvalhal RF, Stach-Machado DR, Kubota LT (2009) Surface plasmon resonance immunosensor for early diagnosis of Asian rust on soybean leaves. Biosens Bioelectron 24:2483–2487

    Article  CAS  Google Scholar 

  • Miles GP, Stover E, Ramadugu C et al (2017) Apparent tolerance to Huanglongbing in citrus and citrus-related germplasm. HortScience 52:31–39. https://doi.org/10.21273/hortsci11374-16

    Article  Google Scholar 

  • Miller DAB (2009) Device requirements for optical interconnects to silicon chips. Proc IEEE 97:1166–1185

    Article  CAS  Google Scholar 

  • Miranda BS, Linares EM, Thalhammer S, Kubota LT (2013) Development of a disposable and highly sensitive paper-based immunosensor for early diagnosis of Asian soybean rust. Biosens Bioelectron 45:123–128

    Article  CAS  Google Scholar 

  • Mudgal N, Yupapin P, Ali J, Singh G (2020) BaTiO 3-graphene-affinity layer–based surface plasmon resonance (SPR) biosensor for Pseudomonas bacterial detection. Plasmonics 1–9

  • Noi K, Iijima M, Kuroda S, Ogi H (2019) Ultrahigh-sensitive wireless QCM with bio-nanocapsules. Sensors Actuators B Chem 293:59–62

    Article  CAS  Google Scholar 

  • Noori JS, Mortensen J, Geto A (2020) Recent Development on the Electrochemical Detection of Selected Pesticides: A Focused Review. Recent development on the electrochemical detection of selected pesticides: a focused review. Sensors (Switzerland) 20:20. https://doi.org/10.3390/s20082221

    Article  CAS  Google Scholar 

  • Notomi T, Okayama H, Masubuchi H, Yonekawa T, Watanabe K, Amino N, Hase T (2000) Loop-mediated isothermal amplification of DNA. Nucleic Acids Res 28:e63

    Article  CAS  Google Scholar 

  • Oh SY, Heo NS, Shukla S et al (2017) Development of gold nanoparticle-aptamer-based LSPR sensing chips for the rapid detection of Salmonella typhimurium in pork meat. Sci Rep 7:1–10

    Article  Google Scholar 

  • Ozalp VC, Bayramoglu G, Erdem Z, Arica MY (2015) Pathogen detection in complex samples by quartz crystal microbalance sensor coupled to aptamer functionalized core–shell type magnetic separation. Anal Chim Acta 853:533–540

    Article  CAS  Google Scholar 

  • Papadakis G, Skandalis N, Dimopoulou A, Glynos P, Gizeli E (2015) Bacteria murmur: application of an acoustic biosensor for plant pathogen detection. PLoS One 10(7):e0132773. https://doi.org/10.1371/journal.pone.0132773

    Article  CAS  Google Scholar 

  • Park M-K, Li S, Chin BA (2013a) Detection of Salmonella typhimurium grown directly on tomato surface using phage-based magnetoelastic biosensors. Food Bioprocess Technol 6:682–689

  • Park M-K, Park JW, Wikle HC III, Chin BA (2013b) Evaluation of phage-based magnetoelastic biosensors for direct detection of Salmonella typhimurium on spinach leaves. Sensors Actuators B Chem 176:1134–1140

  • Paternolli C, Antonini M, Ghisellini P, Nicolini C (2004) Recombinant cytochrome P450 immobilization for biosensor applications. Langmuir 20:11706–11712. https://doi.org/10.1021/la048081q

    Article  CAS  Google Scholar 

  • Patil KN, Singh P, Muniyappa K (2011) DNA binding, coprotease, and strand exchange activities of mycobacterial RecA proteins: implications for functional diversity among RecA nucleoprotein filaments. Biochemistry 50:300–311

    Article  CAS  Google Scholar 

  • Pedersen SM, Fountas S, Have H, Blackmore BS (2006) Agricultural robots—system analysis and economic feasibility. Precis Agric 7:295–308

    Article  Google Scholar 

  • Piepenburg O, Williams CH, Stemple DL, Armes NA (2006) DNA detection using recombination proteins. PLoS Biol 4:e204

    Article  Google Scholar 

  • Pilli SK, Nallathambi B, George SJ, Diwanji V (2015) eAGROBOT—a robot for early crop disease detection using image processing. In: 2015 2nd International Conference on Electronics and Communication Systems (ICECS). IEEE, pp 1684–1689

  • Pohanka M, Jun D, Kuca K (2007) Mycotoxin assays using biosensor technology: a review. Drug Chem Toxicol 30:253–261

    Article  CAS  Google Scholar 

  • Poitras C, Tufenkji N (2009) A QCM-D-based biosensor for E. coli O157: H7 highlighting the relevance of the dissipation slope as a transduction signal. Biosens Bioelectron 24:2137–2142

    Article  CAS  Google Scholar 

  • Priyanka B, Patil RK, Dwarakanath S (2016) A review on detection methods used for foodborne pathogens. Indian J Med Res 144:327–338

    Article  CAS  Google Scholar 

  • Qian W, Lu Y, Meng Y, Ye Z, Wang L, Wang R, Zheng Q, Wu H, Wu J (2018) Field detection of citrus Huanglongbing associated with ‘Candidatus Liberibacter Asiaticus’ by recombinese polymerase amplification within 15 min. J Agric Food Chem 66:5473–5480

    Article  CAS  Google Scholar 

  • Rad F, Mohsenifar A, Tabatabaei M et al (2012) Detection of Candidatus Phytoplasma aurantifolia with a quantum dots fret-based biosensor. J Plant Pathol 94:525–534

    Google Scholar 

  • Ramnani P, Saucedo NM, Mulchandani A (2016) Carbon nanomaterial-based electrochemical biosensors for label-free sensing of environmental pollutants. Chemosphere 143:85–98. https://doi.org/10.1016/j.chemosphere.2015.04.063

    Article  CAS  Google Scholar 

  • Rani A, Donovan N, Mantri N (2019) Review: The future of plant pathogen diagnostics in a nursery production system. Biosens Bioelectron 111631:111631. https://doi.org/10.1016/j.bios.2019.111631

    Article  CAS  Google Scholar 

  • Ray M, Ray A, Dash S, Mishra A, Achary KG, Nayak S, Singh S (2017) Fungal disease detection in plants: traditional assays, novel diagnostic techniques and biosensors. Biosens Bioelectron 87:708–723. https://doi.org/10.1016/j.bios.2016.09.032

    Article  CAS  Google Scholar 

  • Rey B, Aleixos N, Cubero S, Blasco J (2019) XF-ROVIM. A field robot to detect olive trees infected by Xylella fastidiosa using proximal sensing. Remote Sens 11:221

    Article  Google Scholar 

  • Roberts MJ (2006) The value of plant disease early-warning systems: a case study of USDA's soybean rust coordinated framework (No. 18). USDA Economic Research Service

  • Rohrman BA, Richards-Kortum RR (2012) A paper and plastic device for performing recombinase polymerase amplification of HIV DNA. Lab Chip 12(17):3082–3088. https://doi.org/10.1039/c2lc40423k

    Article  CAS  Google Scholar 

  • Rosset P (2008) Food sovereignty and the contemporary food crisis. Development 51:460–463. https://doi.org/10.1057/dev.2008.48

    Article  Google Scholar 

  • Rossier JS, Girault HH (2001) Enzyme linked immunosorbent assay on a microchip with electrochemical detection. Lab Chip 1:153–157

    Article  CAS  Google Scholar 

  • Ruiz-Ruiz S, Moreno P, Guerri J, Ambrós S (2009) Discrimination between mild and severe Citrus tristeza virus isolates with a rapid and highly specific real-time reverse transcription-polymerase chain reaction method using TaqMan LNA probes. Phytopathology 99:307–315

    Article  CAS  Google Scholar 

  • Sadani K, Nag P, Mukherji S (2019) LSPR based optical fiber sensor with chitosan capped gold nanoparticles on BSA for trace detection of Hg (II) in water, soil and food samples. Biosens Bioelectron 134:90–96. https://doi.org/10.1016/j.bios.2019.03.046

    Article  CAS  Google Scholar 

  • Safarpour H, Safarnejad MR, Tabatabaei M, Mohsenifar A, Rad F, Basirat M, Shahryari F, Hasanzadeh F (2012) Development of a quantum dots FRET-based biosensor for efficient detection of Polymyxa betae. Can J plant Pathol 34:507–515

    Article  Google Scholar 

  • Sakakibara M, Ohmori Y, Ha NTH, Sano S, Sera K (2011) Phytoremediation of heavy metal-contaminated water and sediment by Eleocharis acicularis. CLEAN–Soil, Air, Water 39:735–741

    Article  CAS  Google Scholar 

  • Savary S, Ficke A, Aubertot JN, Hollier C (2012) Crop losses due to diseases and their implications for global food production losses and food security. Food Secur 4:519–537. https://doi.org/10.1007/s12571-012-0200-5

    Article  Google Scholar 

  • Scala A, Allmann S, Mirabella R, et al (2013) Green leaf volatiles: a plant’s multifunctional weapon against herbivores and pathogens. 17781–17811. https://doi.org/10.3390/ijms140917781

  • Schor N, Bechar A, Ignat T, Dombrovsky A, Elad Y, Berman S (2016) Robotic disease detection in greenhouses: combined detection of powdery mildew and tomato spotted wilt virus. IEEE Robot Autom Lett 1:354–360

    Article  Google Scholar 

  • Schor N, Berman S, Dombrovsky A, Elad Y, Ignat T, Bechar A (2017) Development of a robotic detection system for greenhouse pepper plant diseases. Precis Agric 18:394–409

    Article  Google Scholar 

  • Senauer B, Sur M (2001) Ending global hunger in the 21st century: projections of the number of food insecure people. Rev Agric Econ 23:68–81. https://doi.org/10.1111/1058-7195.00046

    Article  Google Scholar 

  • Seok Kim Y, Ahmad Raston NH, Bock Gu M (2016) Aptamer-based nanobiosensors. Biosens Bioelectron 76:2–19. https://doi.org/10.1016/j.bios.2015.06.040

    Article  CAS  Google Scholar 

  • Shen F, Davydova EK, Du W et al (2011) Digital isothermal quantification of nucleic acids via simultaneous chemical initiation of recombinase polymerase amplification reactions on SlipChip. Anal Chem 83:3533–3540

    Article  CAS  Google Scholar 

  • Siddiquee S, Rovina K, Yusof NA, Rodrigues KF, Suryani S (2014) Nanoparticle-enhanced electrochemical biosensor with DNA immobilization and hybridization of Trichoderma harzianum gene. Sens Bio-Sensing Res 2:16–22

    Article  Google Scholar 

  • Singh A, Poshtibtiban S, Evoy S (2013) Recent advances in bacteriophage based biosensors for food-borne pathogen detection. Sensors (Basel) 13(2):1763–1786. https://doi.org/10.3390/s130201763

    Article  CAS  Google Scholar 

  • Skottrup P, Hearty S, Frøkiær H, Leonard P, Hejgaard J, O’Kennedy R, Nicolaisen M, Justesen AF (2007) Detection of fungal spores using a generic surface plasmon resonance immunoassay. Biosens Bioelectron 22:2724–2729

    Article  CAS  Google Scholar 

  • Skottrup PD, Nicolaisen M, Justesen AF (2008) Towards on-site pathogen detection using antibody-based sensors. Biosens Bioelectron 24:339–348. https://doi.org/10.1016/j.bios.2008.06.045

    Article  CAS  Google Scholar 

  • Strange RN, Scott PR (2005) Plant disease: a threat to global food security. Annu Rev Phytopathol 43:83–116. https://doi.org/10.1146/annurev.phyto.43.113004.133839

    Article  CAS  Google Scholar 

  • Sun K, Xing W, Yu X et al (2016) Recombinase polymerase amplification combined with a lateral flow dipstick for rapid and visual detection of Schistosoma japonicum. Parasit Vectors 9:1–9

    Article  CAS  Google Scholar 

  • Syedmoradi L, Gomez FA (2017) Paper-based point-of-care testing in disease diagnostics. Bioanalysis 9(11):841–843. https://doi.org/10.4155/bio-2017-0080

  • Syedmoradi L, Daneshpour M, Alvandipour M, Gomez FA, Hajghassem H, Omidfar K (2017) Point of care testing: the impact of nanotechnology. Biosens Bioelectron 87:373–387

  • Tang Y, Xing D, Zhu D, Liu J (2007) An improved electrochemiluminescence polymerase chain reaction method for highly sensitive detection of plant viruses. Anal Chim Acta 582:275–280

    Article  CAS  Google Scholar 

  • Tao X, He Y, Fortner JD, Chen Y, Hughes JB (2013) Effects of aqueous stable fullerene nanocrystal (nC60) on copper (trace necessary nutrient metal): enhanced toxicity and accumulation of copper in Daphnia magna. Chemosphere 92:1245–1252. https://doi.org/10.1016/j.chemosphere.2013.04.056

    Article  CAS  Google Scholar 

  • Thompson RQ, Barone GC III, Halsall HB, Heineman WR (1991) Comparison of methods for following alkaline phosphatase catalysis: spectrophotometric versus amperometric detection. Anal Biochem 192:90–95

    Article  CAS  Google Scholar 

  • Tomita N, Mori Y, Kanda H, Notomi T (2008) Loop-mediated isothermal amplification (LAMP) of gene sequences and simple visual detection of products. Nat Protoc 3:877–882

    Article  CAS  Google Scholar 

  • Vaseghi A, Safaie N, Bakhshinejad B et al (2017) Advances in biosensors: principle, architecture and applications. Biosens Bioelectron 12:1–15. https://doi.org/10.1016/j.jab.2013.02.001

    Article  Google Scholar 

  • Vidal E, Torre-Cisneros J, Blanes M, Montejo M, Cervera C, Aguado JM, Len O, Carratalá J, Cordero E, Bou G, Muñoz P, Ramos A, Gurguí M, Borrell N, Fortún J, on behalf of the Spanish Network for Research in Infectious Diseases (REIPI) (2012a) Bacterial urinary tract infection after solid organ transplantation in the RESITRA cohort. Transpl Infect Dis 14:595–603

    Article  CAS  Google Scholar 

  • Vidal E, Yokomi RK, Moreno A, Bertolini E, Cambra M (2012b) Calculation of diagnostic parameters of advanced serological and molecular tissue-print methods for detection of Citrus tristeza virus: a model for other plant pathogens. Phytopathology. 102:114–121. https://doi.org/10.1094/PHYTO-05-11-0139

    Article  CAS  Google Scholar 

  • Vincelli P, Tisserat N (2008) Nucleic acid-based pathogen detection in applied plant pathology. Plant Dis 92:660–669. https://doi.org/10.1094/PDIS-92-5-0660

    Article  CAS  Google Scholar 

  • Wang C, Yao Z, Bai L, Wang C, Jiang H (2019) Application of a microbial fuel cell-based biosensor for the energy-saving operation of macrophyte residues bioreactor with low concentration of dissolved organic carbon in effluents. Chemosphere 220:1075–1082. https://doi.org/10.1016/j.chemosphere.2018.12.209

    Article  CAS  Google Scholar 

  • Wang L, Li PCH (2010) Optimization of a microfluidic microarray device for the fast discrimination of fungal pathogenic DNA. Anal Biochem 400:282–288

    Article  CAS  Google Scholar 

  • Wang YX, Ye ZZ, Si CY, Bin Ying Y (2012) Application of aptamer based biosensors for detection of pathogenic microorganisms. Fenxi Huaxue/ Chinese J Anal Chem 40:634–642. https://doi.org/10.1016/S1872-2040(11)60542-2

    Article  CAS  Google Scholar 

  • Wang Z, Yin Y, Hu H, Yuan Q, Peng G, Xia Y (2006) Development and application of molecular-based diagnosis for “Candidatus Liberibacter asiaticus”, the causal pathogen of citrus huanglongbing. Plant Pathol 55:630–638. https://doi.org/10.1111/j.1365-3059.2006.01438.x

    Article  CAS  Google Scholar 

  • Wee EJH, Lau HY, Botella JR, Trau M (2015) Re-purposing bridging flocculation for on-site, rapid, qualitative DNA detection in resource-poor settings. Chem Commun 51:5828–5831

    Article  CAS  Google Scholar 

  • Wilson JS, Mann CL, Otsuki T (2005) Assessing the benefits of trade facilitation: a global perspective. World Econ 28:841–871

    Article  Google Scholar 

  • Wongkaew P, Poosittisak S (2014) Diagnosis of sugarcane white leaf disease using the highly sensitive DNA based voltammetric electrochemical determination. Am J Plant Sci 5(5):2256–2268

    Article  Google Scholar 

  • Wu X, Meng C, Wang G, Liu Y, Zhang X, Yi K, Peng J (2016) Rapid and quantitative detection of citrus Huanglongbing bacterium ‘Candidatus Liberibacter asiaticus’ by real-time fluorescent loop-mediated isothermal amplification assay in China. Physiol Mol Plant Pathol 94:1–7

    Article  CAS  Google Scholar 

  • Xu L, Yu W, Graham N, Zhao Y (2021) Chemosphere revisiting the bioelectrochemical system based biosensor for organic sensing and the prospect on constructed wetland-microbial fuel cell. Chemosphere 264:128532. https://doi.org/10.1016/j.chemosphere.2020.128532

    Article  CAS  Google Scholar 

  • Yaman F (2011) The costs of adjusting labor: evidence from temporally disaggregated data

  • Yao KS, Li SJ, Tzeng KC, Cheng TC, Chang CY, Chiu CY, Liao Cy, Hsu JJ, Lin ZP (2009) Fluorescence silica nanoprobe as a biomarker for rapid detection of plant pathogens. In: Advanced materials research, vol 79. Trans Tech Publications Ltd., pp 513–516

  • Yue H, He Y, Fan E, Wang L, Lu S, Fu Z (2017) Label-free electrochemiluminescent biosensor for rapid and sensitive detection of Pseudomonas aeruginosa using phage as highly specific recognition agent. Biosens Bioelectron 94:429–432

  • Zhan F, Wang T, Iradukunda L, Zhan J (2018) A gold nanoparticle-based lateral flow biosensor for sensitive visual detection of the potato late blight pathogen, Phytophthora infestans. Anal Chim Acta 1036:153–161. https://doi.org/10.1016/j.aca.2018.06.083

  • Zhang S, Ravelonandro M, Russell P, McOwen N, Briard P, Bohannon S, Vrient A (2014) Rapid diagnostic detection of plum pox virus in Prunus plants by isothermal AmplifyRP® using reverse transcription-recombinase polymerase amplification. J Virol Methods 207:114–120

    Article  CAS  Google Scholar 

  • Zhang X, Zhang H, Pu J et al (2013) Development of a real-time fluorescence loop-mediated isothermal amplification assay for rapid and quantitative detection of Fusarium oxysporum f. sp. cubense tropical race 4 in soil. PLoS One 8:e82841

    Article  Google Scholar 

  • Zhao W, Lu J, Ma W, Xu C, Kuang H, Zhu S (2011) Biosensors and bioelectronics rapid on-site detection of Acidovorax avenae subsp. citrulli by gold-labeled DNA strip sensor. Biosens Bioelectron 26:4241–4244. https://doi.org/10.1016/j.bios.2011.04.004

    Article  CAS  Google Scholar 

  • Zhao Y, Chen F, Li Q, Wang L, Fan C (2015) Isothermal amplification of nucleic acids. Chem Rev 115:12491–12545

    Article  CAS  Google Scholar 

  • Zhao Y, Liu L, Kong D, Kuang H, Wang L, Xu C (2014) Dual amplified electrochemical immunosensor for highly sensitive detection of Pantoea stewartii sbusp. stewartii. ACS Appl Mater Interfaces 6:21178–21183. https://doi.org/10.1021/am506104r

  • Zheng Y-Y, Kong J-L, Jin X-B, Wang XY, Zuo M (2019) CropDeep: The crop vision dataset for deep-learning-based classification and detection in precision agriculture. Sensors 19:1058

    Article  Google Scholar 

  • Zou Y, Mason MG, Wang Y, Wee E, Turni C, Blackall PJ, Trau M, Botella JR (2017) Nucleic acid purification from plants, animals and microbes in under 30 seconds. PLoS Biol 15:e2003916

    Article  Google Scholar 

  • Zuo P, Li X, Dominguez DC, Ye BC (2013) A PDMS/paper/glass hybrid microfluidic biochip integrated with aptamer-functionalized graphene oxide nano-biosensors for one-step multiplexed pathogen detection. Lab Chip 13:3921–3928. https://doi.org/10.1039/c3lc50654a

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors highly acknowledge the efforts of Dr. Muhammad Rizwan, Dr. Freddy Mora-Poblete, and Mr. Muhammad Kamran for their contribution to improve the quality of this review paper.

Funding

This study was funded by the Chilean National Fund for Scientific and Technological Development (FONDECYT) under grant number-1201973.

Author information

Authors and Affiliations

  1. Department of Plant Pathology, College of Plant Protection, Nanjing Agricultural University, Key Laboratory of Integrated Management of Crop Diseases and Pests, Ministry of Education, Nanjing, People’s Republic of China

    Qurban Ali

  2. College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, People’s Republic of China

    Sunny Ahmar, Muhammad Aamir Sohail, Mohsin Ali, Muhammad Hamzah Saleem & Mustansar Mubeen

  3. Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, People’s Republic of China

    Muhammad Kamran

  4. Department of Environmental Sciences and Engineering, Government College University Faisalabad, Faisalabad, 38000, Pakistan

    Muhammad Rizwan & Shafaqat Ali

  5. Department of Entomology, Faculty of Crop Protection, Sindh Agriculture University Tandojam, Hyderabad, Sindh, 70060, Pakistan

    Agha Mushtaque Ahmed

  6. Institute of Biological Sciences, University of Talca, 2 Norte 685, 3460000, Talca, Chile

    Freddy Mora-Poblete

  7. Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil

    Antônio Teixeira do Amaral Júnior

  8. Department of Biological Sciences and Technology, China Medical University, Taichung, 40402, Taiwan

    Shafaqat Ali

Authors
  1. Qurban Ali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sunny Ahmar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Muhammad Aamir Sohail
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Muhammad Kamran
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mohsin Ali
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Muhammad Hamzah Saleem
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Muhammad Rizwan
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Agha Mushtaque Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Freddy Mora-Poblete
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Antônio Teixeira do Amaral Júnior
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Mustansar Mubeen
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Shafaqat Ali
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

We thank Q.A. for the conceptualization and writing the original draft of this review article; S.A, M.A.S, M.K, M.A, M.H.S, M.M, and M.R. for reviewing and editing the first draft; A.M.A. and M.R. for the validation of review contents; and F.M.P, M.K, A.T.A.J., and S.A. for the supervision and funding resources.

Corresponding authors

Correspondence to Muhammad Kamran, Freddy Mora-Poblete or Shafaqat Ali.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Responsible editor: Diane Purchase

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ali, Q., Ahmar, S., Sohail, M.A. et al. Research advances and applications of biosensing technology for the diagnosis of pathogens in sustainable agriculture. Environ Sci Pollut Res 28, 9002–9019 (2021). https://doi.org/10.1007/s11356-021-12419-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-12419-6

Keywords

Search

Navigation