Next-Generation Biosensors Based on Nanomaterials for Food Borne Virus Detection

Ankit Agrawal; Sourabh D. Jain; Arun K. Gupta

doi:10.52711/2349-2988.2026.00028

Research Journal of Science and Technology

ISSN

2349-2988 (Online)
0975-4393 (Print)

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Next-Generation Biosensors Based on Nanomaterials for Food Borne Virus Detection

Author(s): Ankit Agrawal, Sourabh D. Jain, Arun K. Gupta

Email(s): agrawalankit.ash@gmail.com

DOI: 10.52711/2349-2988.2026.00028

Address: Ankit Agrawal, Sourabh D. Jain, Arun K. Gupta
Department of Pharmaceutical Sciences, Chameli Devi Institute of Pharmacy, Indore (M.P.) – India.
*Corresponding Author

Published In: Volume - 18, Issue - 2, Year - 2026

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ABSTRACT:
Viruses pose significant risks to human health and food safety, challenges that are compounded by the limitations of current detection technologies. While biosensors have improved viral detection capabilities, many conventional methods still struggle with issues such as low sensitivity, poor specificity, and limited real-time monitoring. Nanotechnology offers promising solutions to these limitations by enabling the development of highly sensitive, accurate, and selective biosensors enhanced with nanomaterials. This review explores recent progress in nanotechnology-based biosensors, focusing on the use of graphene oxide, silica, carbon nanotubes, gold, silver, zinc oxide, and magnetic nanoparticles for detecting both human and foodborne viruses. A unique contribution of this review is its comprehensive, system-wide approach—examining viral threats throughout the entire food supply chain, from production to consumption. It covers key viruses affecting humans, livestock (e.g., avian influenza virus), and crops (e.g., maize chlorotic mottle virus), and critically evaluates the performance, limitations, and practical applications of various nanobiosensing technologies. Challenges such as the non-culturability of certain viruses, interference from complex food matrices, and the scalability of biosensor manufacturing are also discussed. Finally, the review outlines future directions including multiplexed detection and integration with artificial intelligence. Although many of these technologies are still in early stages, nanoparticle-based biosensors hold significant promise for transforming viral detection and strengthening the resilience of the global food system.

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Cite this article:
Ankit Agrawal, Sourabh D. Jain, Arun K. Gupta. Next-Generation Biosensors Based on Nanomaterials for Food Borne Virus Detection. Research Journal of Science and Technology. 2026; 18(2):199-4. doi: 10.52711/2349-2988.2026.00028

Cite(Electronic):
Ankit Agrawal, Sourabh D. Jain, Arun K. Gupta. Next-Generation Biosensors Based on Nanomaterials for Food Borne Virus Detection. Research Journal of Science and Technology. 2026; 18(2):199-4. doi: 10.52711/2349-2988.2026.00028 Available on: https://www.rjstonline.com/AbstractView.aspx?PID=2026-18-2-11

REFERENCES:
1. Riann Martin Sarza, Xiaodi Su, Nanoparticle-based biosensors for virus detection in food systems: from farm to fork, Nanoscale, 2025, 1- 24.
2. J. Fanzo, A. L. Bellows, M. L. Spiker, A. L. Thorne-Lyman and M. W. Bloem, Am. J. Clin. Nutr, 2021, 113, 7–16.
3. Bosch, E. Gkogka, F. S. Le Guyader, F. Loisy-Hamon, A. Lee, L. van Lieshout, B. Marthi, M. Myrmel, A. Sansom, A. C. Schultz, A. Winkler, S. Zuber and T. Phister, Int. J. Food Microbiol., 2018, 285, 110–128, DOI: 10.1016/j.ijfoodmicro.2018.06.001.
4. N. Nasheri, J. Harlow, A. Chen, N. Corneau and S. Bidawid, Food Environ. Virol., 2021, 13, 107–116.
5. G. Di Cola, A. C. Fantilli, M. B. Pisano and V. E. Ré, Int. J. Food Microbiol., 2021, 338, 108986, DOI: 10.1016/j. ijfoodmicro.2020.108986.
6. S. Mukherjee, P. Strakova, L. Richtera, V. Adam and A. Ashrafi, Advanced Biosensors for Virus Detection: Smart Diagnostics to Combat SARS-CoV-2, Elsevier, 2022, pp. 391–405.
7. C. Hennechart-Collette, O. Dehan, M. Laurentie, A. Fraisse, S. Martin-Latil and S. Perelle, Int. J. Food Microbiol., 2021, 337, ijfoodmicro.2020.108931. 108931, DOI: 10.1016/j.
8. T. Chanchaidechachai, H. Saatkamp, C. Inchaisri and H. Hogeveen, Front. Vet. Sci., 2022, 9, 904630, DOI: 10.3389/fvets.2022.904630.
9. V. G. Panferov, I. V. Safenkova, A. V. Zherdev and B. B. Dzantiev, Microchim. Acta, 2018, 185, 506, DOI: 10.1007/s00604-018-3052-7.
10. Razmi, A. Golestanipour, M. Nikkhah, A. Bagheri, M. Shamsbakhsh and S. Malekzadeh-Shafaroudi, J. Virol. Methods, 2019, 267, 1–7.
11. Z. Wang, W. Yu, R. Xie, S. Yang and A. Chen, Anal. Bioanal. Chem., 2021, 413, 4665–4672, DOI: 10.1007/ s00216-021-03408-2.
12. X. Wang, Y. Luo, K. Huang and N. Cheng, Adv. Agrochem, 2022, 3–6, DOI: 10.1016/j.aac.2022.08.002.
13. T. Yang, Z. Luo, T. Bewal, L. Li, Y. Xu, S. M. Jafari and X. Lin, Food Chem., 2022, 394, 133534, DOI: 10.1016/j. foodchem.2022.133534.
14. X. Zhu, T. Y. Kim, S. M. Kim, K. Luo and M. C. Lim, J. Agric. Food Chem., 2023, 71, 15942–15953, DOI: 10.1021/ acs.jafc.3c05166.
15. S. Chakraborty, N. Kumar, K. Dhama, A. K. Verma, R. Tiwari, A. Kumar, S. Kapoor and V. Singh, Advances in Animal and Veterinary Sciences, 2013, 2(2S), 1–18.
16. Y. Revilla, D. Pérez- Núñez and J. A. Richt, Advances in Virus Research, Academic Press Inc., 2018, vol. 100, pp. 41–74.
17. E. Spackman, in Animal Influenza Virus, ed. E. Spackman, Humana Press, 3rd edn, 2020, p. 83.
18. P. Signoret, in Encyclopedia of Virology, ed. B.W. J. Mahy and M. H. V. Van Regenmortel, 3rd edn, 2008.
19. G. Lu, Z. Wang, F. Xu, Y. B. Pan, M. P. Grisham and L. Xu, Microorganisms, 2021, microorganisms9091984. 9, 1984, DOI: 10.3390/
20. V. Morton, J. Jean, J. Farber and K. Mattison, Appl.Environ. Microbiol., 2009, 75, 4641–4643.
21. K. Nemes, S. Persson and M. Simonsson, Viruses, 2023, 15, 1725, DOI: 10.3390/v15081725.
22. M. Koopmans and E. Duizer, Int. J. Food Microbiol., 2004, 90,23–41.
23. E. H. Teshale and D. J. Hu, World J. Hepatol., 2011, 3, 285–291.
24. B. S. Coulson, Curr. Opin. Virol., 2015, 15, 90–96, DOI: 10.1016/j.coviro.2015.08.012.
25. R. A. Farahat, S. H. Khan, A. A. Rabaan and J. A. Al-Tawfiq, New Microbes New Infect., 2023, 53, 101122, DOI: 10.1016/ j.nmni.2023.101122.
26. Blagodatski, K. Trutneva, O. Glazova, O. Mityaeva, L. Shevkova, E. Kegeles, N. Onyanov, K. Fede, A. Maznina, E. Khavina, S. J. Yeo, H. Park and P. Volchkov, Pathogens, 2021, 10, 630, DOI: 10.3390/pathogens10050630.
27. V. Ayerdurai, M. Cieplak and W. Kutner, TrAC, Trends Anal. Chem., 2023, 158, 116830, DOI: 10.1016/j.trac.2022.116830.
28. P. Ray, R. Chakraborty, O. Banik, E. Banoth and P. Kumar, ACS Omega, 2023, 8, 3606–3629, DOI: 10.1021/ acsomega.2c05983.
29. Z. Yilmaz-Sercinoglu, C. İlke Kuru and F. Ulucan-Karnak, Sensing Tools and Techniques for COVID-19: Developments and Challenges in Analysis and Detection of Coronavirus, Elsevier, 2022, pp. 57–82.
30. Y. Jeong, J. Kim, J. Lee, S. Seo, S. Roh, G. Lee, B. G. Choi, N. H. Bae, J. Jung, T. Kang, K. G. Lee and E. K. Lim, Mater. Horiz, 2025, 12, 451–457, DOI: 10.1039/d4mh01062k.
31. S. M. Sheta and S. M. El-Sheikh, Anal. Biochem., 2022, 648, 114680, DOI: 10.1016/j.ab.2022.114680.
32. O. Prakash, D. Verma and P. C. Singh, J. Mater. Chem. B, 2024, 12, 10198–10214, DOI: 10.1039/d4tb01556h.