Abstract
The global food supply chain is highly susceptible to spoilage and contamination risks, posing severe health hazards to consumers. This creates the need for preservation and safety-monitoring methods to reduce the exposure of both industries and consumers to these risks. Recent innovations using functional materials to construct nano- and microrobots of different shapes and sizes show substantial improvements in optimizing various food processes. Here we review the benefits of applying autonomous functional microrobotics to food science and technology, focusing on applications in food safety control, preservation and processing. We identify current limitations specific to each application and general constraints that must be overcome to transition from proof of concept to real-world implementation in the food industry.
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References
Wang, Y., Borgatta, J. & White, J. C. Protecting foods with biopolymer fibres. Nat. Food 3, 402–403 (2022).
Snyder, A. B., Martin, N. & Wiedmann, M. Microbial food spoilage: impact, causative agents and control strategies. Nat. Rev. Microbiol. 22, 528–542 (2024).
Sanders, T. A. B. Food production and food safety. BMJ 318, 1689–1693 (1999).
Camino Feltes, M. M., Arisseto-Bragotto, A. P. & Block, J. M. Food quality, food-borne diseases, and food safety in the Brazilian food industry. Food Qual. Saf. 1, 13–27 (2017).
Smith, J. L. & Fratamico, P. M. Emerging and re-emerging foodborne pathogens. Foodborne Pathog. Dis. 15, 737–757 (2018).
Bélanger, P., Tanguay, F., Hamel, M. & Phypers, M. An overview of foodborne outbreaks in Canada reported through Outbreak Summaries: 2008–2014. Can. Commun. Dis. Rep. 41, 254–262 (2015).
Crippa, M. et al. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat. Food 2, 198–209 (2021).
Sarno, E., Pezzutto, D., Rossi, M., Liebana, E. & Rizzi, V. A review of significant European foodborne outbreaks in the last decade. J. Food Prot. 84, 2059–2070 (2021).
Beltran-Alcrudo, D., Falco, J. R., Raizman, E. & Dietze, K. Transboundary spread of pig diseases: the role of international trade and travel. BMC Vet. Res. 15, 64 (2019).
Vandeweyer, D., Lievens, B. & Campenhout, L. V. Identification of bacterial endospores and targeted detection of foodborne viruses in industrially reared insects for food. Nat. Food 1, 511–516 (2020).
Villalonga, A., Sánchez, A., Mayol, B., Reviejo, J. & Villalonga, R. Electrochemical biosensors for food bioprocess monitoring. Curr. Opin. Food Sci. 43, 18–26 (2022).
Nahar, S., Mizan, M. F. R., Ha, A. J.-W. & Ha, S.-D. Advances and future prospects of enzyme-based biofilm prevention approaches in the food industry. Compr. Rev. Food Sci. Food Saf. 17, 1484–1502 (2018).
Bhanja, A., Nanda, R. & Mishra, M. in Bio- and Nano-sensing Technologies for Food Processing and Packaging (ed. Shukla, A. K.) 181–198 (Royal Society of Chemistry, 2022); https://doi.org/10.1039/9781839167966
Peters, R. J. B. et al. Nanomaterials for products and application in agriculture, feed and food. Trends Food Sci. Technol. 54, 155–164 (2016).
Dey, A., Pandey, G. & Rawtani, D. Functionalized nanomaterials driven antimicrobial food packaging: a technological advancement in food science. Food Control 131, 108469 (2022).
Chen, H. et al. Nanomaterials as optical sensors for application in rapid detection of food contaminants, quality and authenticity. Sens. Actuators B 329, 129135 (2021).
Mundaca-Uribe, R., Askarinam, N., Fang, R. H., Zhang, L. & Wang, J. Towards multifunctional robotic pills. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-023-01090-6 (2023).
Nelson, B. J. & Pané, S. Delivering drugs with microrobots. Science 382, 1120–1122 (2023).
Fernández-Medina, M., Ramos-Docampo, M. A., Hovorka, O., Salgueiriño, V. & Städler, B. Recent advances in nano- and microrobots. Adv. Funct. Mater. 30, 1908283 (2020).
Allard, C. Adaptable navigation of magnetic microrobots. Nat. Rev. Mater. 9, 90 (2024).
Hu, Y., Liu, W. & Sun, Y. Self-propelled micro-/nanorobots as ‘on-the-move' platforms: cleaners, sensors, and reactors. Adv. Funct. Mater. 32, 2109181 (2022).
Wang, T., Wu, Y., Yildiz, E., Kanyas, S. & Sitti, M. Clinical translation of wireless soft robotic medical devices. Nat. Rev. Bioeng. 2, 470–485 (2024).
Yuan, K., Jiang, Z., Jurado-Sánchez, B. & Escarpa, A. Nano/micro-robots for diagnosis and therapy of cancer and infectious diseases. Chem. Eur. J. 26, 2309–2326 (2020).
Esteban-Fernández de Ávila, B. et al. Microrobots go in vivo: from test tubes to live animals. Adv. Funct. Mater. 28, 1705640 (2018).
Urso, M., Ussia, M. & Pumera, M. Smart micro- and nanorobots for water purification. Nat. Rev. Bioeng. 1, 236–251 (2023).
Ge, H., Chen, X., Liu, W., Lu, X. & Gu, Z. Metal-based transient microrobots: from principle to environmental and biomedical applications. Chem. Asian J. 14, 2348–2356 (2019).
Dan, J. et al. Micro/nanorobot technology: the new era for food safety control. Crit. Rev. Food Sci. Nutr. 64, 2032–2052 (2024).
Wang, Q. & Zhang, L. External power-driven microrobotic swarm: from fundamental understanding to imaging-guided delivery. ACS Nano. 15, 149–174 (2021).
Wang, H. & Pumera, M. Coordinated behaviors of artificial micro/nanomachines: from mutual interactions to interactions with the environment. Chem. Soc. Rev. 49, 3211–3230 (2020).
Singh, V. V., Kaufmann, K., de Ávila, B. E.-F., Karshalev, E. & Wang, J. Molybdenum disulfide-based tubular microengines: toward biomedical applications. Adv. Funct. Mater. 26, 6270–6278 (2016).
Kim, J., Mayorga-Martinez, C. C. & Pumera, M. Magnetically boosted 1D photoactive microswarm for COVID-19 face mask disruption. Nat. Commun. 14, 935 (2023).
Chen, C., Karshalev, E., Guan, J. & Wang, J. Magnesium-based micromotors: water-powered propulsion, multifunctionality, and biomedical and environmental applications. Small 14, 1704252 (2018).
Zhou, H., Mayorga-Martinez, C. C., Pané, S., Zhang, L. & Pumera, M. Magnetically driven micro and nanorobots. Chem. Rev. 121, 4999–5041 (2021).
Chen, X.-Z. et al. Recent developments in magnetically driven micro- and nanorobots. Appl. Mater. Today 9, 37–48 (2017).
Li, J. C. C., Mayorga-Martinez, C.-D., Ohl, M. & Pumera, M. Ultrasonically propelled micro- and nanorobots. Adv. Funct. Mater. 32, 2102265 (2022).
Chen, C., Soto, F., Karshalev, E., Li, J. & Wang, J. Hybrid nanovehicles: one machine, two engines. Adv. Funct. Mater. 29, 1806290 (2018).
Ussia, M. et al. Magnetically driven self-degrading zinc-containing cystine microrobots for treatment of prostate cancer. Small 19, 2208259 (2023).
Song, S.-J. et al. Precisely navigated biobot swarms of bacteria Magnetospirillum magneticum for water decontamination. ACS Appl. Mater. Interfaces 15, 7023–7029 (2023).
Mayorga-Martinez, C. C., Fojtů, M., Vyskočil, J., Cho, N.-J. & Pumera, M. Pollen-based magnetic microrobots are mediated by electrostatic forces to attract, manipulate, and kill cancer cells. Adv. Funct. Mater. 32, 2207272 (2022).
Kim, J. et al. Advanced materials for micro/nanorobotics. Chem. Soc. Rev. 53, 9190–9253 (2024).
Ussia, M. & Pumera, M. Towards micromachine intelligence: potential of polymers. Chem. Soc. Rev. 51, 1558–1572 (2022).
Yang, K., Won, S., Park, J. E., Jeon, J. & Wie, J. J. Magnetic swarm intelligence of mass-produced, programmable microrobot assemblies for versatile task execution. Device 3, 100626 (2025).
Wang, J. Self-propelled affinity biosensors: moving the receptor around the sample. Biosens. Bioelectron. 76, 234–242 (2016).
Dai, B. et al. Fluid field modulation in mass transfer for efficient photocatalysis. Adv. Sci. 9, 2203057 (2022).
Xiong, K. et al. An axis-asymmetric self-driven microrobot that can perform precession multiplying ‘on-the-fly’ mass transfer. Matter 6, 907–924 (2023).
Karshalev, E., Esteban-Fernández de Ávila, B. & Wang, J. Microrobots for ‘chemistry-on-the-fly’. J. Am. Chem. Soc. 140, 3810–3820 (2018).
Rojas, D., Jurado-Sanchez, B. & Escarpa, A. ‘Shoot and sense’ Janus microrobots-based strategy for the simultaneous degradation and detection of persistent organic pollutants in food and biological samples. Anal. Chem. 88, 4153–4160 (2016).
Kong, L., Guan, J. & Pumera, M. Micro- and nanorobots based sensing and biosensing. Curr. Opin. Electrochem. 10, 174–182 (2018).
Luo, Y. et al. MnFe2O4 microrobots enhanced field digestion and solid phase extraction for on-site determination of arsenic in rice and water. Anal. Chim. Acta 1156, 338354 (2021).
Toh, S. Y., Citartan, M., Gopinath, S. C. B. & Tang, T.-H. Aptamers as a replacement for antibodies in enzyme-linked immunosorbent assay. Biosens. Bioelectron. 64, 392–403 (2015).
Esteban-Fernandez de Avila, B. et al. Aptamer-modified graphene-based catalytic microrobots: off−on fluorescent detection of ricin. ACS Sens. 1, 217–221 (2016).
Molinero-Fernandez, A., Jodra, A., Moreno-Guzman, M., Lopez, M. A. & Escarpa, A. Magnetic reduced graphene oxide/nickel/platinum nanoparticles microrobots for mycotoxin analysis. Chem. Eur. J. 24, 7172–7176 (2018).
Maria-Hormigos, R., Jurado-Sanchez, B. & Escarpa, A. Carbon allotrope nanomaterials based catalytic microrobots. Chem. Mater. 28, 8962–8970 (2016).
Molinero-Fernandez, A., Moreno-Guzman, M., Lopez, M. A. & Escarpa, A. Biosensing strategy for simultaneous and accurate quantitative analysis of mycotoxins in food samples using unmodified graphene microrobots. Anal. Chem. 89, 10850–10857 (2017).
Wen, J., Xu, Y., Li, H., Lu, A. & Sun, S. Recent applications of carbon nanomaterials in fluorescence biosensing and bioimaging. Chem. Commun. 51, 11346–11358 (2015).
Jurado-Sánchez, B., Pacheco, M., Rojo, J. & Escarpa, A. Magnetocatalytic graphene quantum dots Janus microrobots for bacterial endotoxin detection. Angew. Chem. Int. Ed. 56, 6957–6961 (2017).
Pacheco, M., Jurado-Sánchez, B. & Escarpa, A. Sensitive monitoring of enterobacterial contamination of food using self-propelled Janus microsensors. Anal. Chem. 90, 2912–2917 (2018).
Su, W. & Ding, X. Methods of endotoxin detection. J. Lab. Autom. 20, 354–364 (2015).
Sorbo, A. et al. Food safety assessment: overview of metrological issues and regulatory aspects in the European Union. Separations 9, 53 (2022).
Romero-González, R. Food safety: how analytical chemists ensure it. Anal. Methods 7, 7193–7201 (2015).
Singh, V. V. et al. Micromotor-based on–off fluorescence detection of sarin and soman simulants. Chem. Commun. 51, 11190–111903 (2015).
Zhang, Y. et al. Real-time tracking of fluorescent magnetic spore-based microrobots for remote detection of C. diff toxins. Sci. Adv. 5, eaau9650 (2019).
Yuan, K., López, M. Á, Jurado-Sánchez, B. & Escarpa, A. Janus micromotors coated with 2d nanomaterials as dynamic interfaces for (bio)-sensing. ACS Appl. Mater. Interfaces 12, 46588–46597 (2020).
Mayorga-Martinez, C. C. & Pumera, M. Self-propelled tags for protein detection. Adv. Funct. Mater. 30, 1906449 (2020).
Turgis, M., Vu, K. D., Dupont, C. & Lacroix, M. Combined antimicrobial effect of essential oils and bacteriocins against foodborne pathogens and food spoilage bacteria. Food Res. Int. 48, 696–702 (2012).
Heymich, M.-L. et al. Generation of antimicrobial peptides Leg1 and Leg2 from chickpea storage protein, active against food spoilage bacteria and foodborne pathogens. Food Chem. 347, 128917 (2021).
Fidan, H. et al. Recent developments of lactic acid bacteria and their metabolites on foodborne pathogens and spoilage bacteria: facts and gaps. Food Biosci. 47, 101741 (2022).
Yuan, K., Jurado-Sánchez, B. & Escarpa, A. Dual-propelled lanbiotic based Janus microrobots for selective inactivation of bacteria biofilms. Angew. Chem. Int. Ed. 60, 4915–4924 (2021).
Mayorga-Martinez, C. C., Castoralova, M., Zelenka, J., Ruml, T. & Pumera, M. Swarming magnetic microrobots for pathogen isolation from milk. Small https://doi.org/10.1002/smll.202205047 (2023).
Sun, F., Yao, M., Su, H., Yang, Q. & Wu, W. A magnetic fluorescent spirochetes microrobot: dynamic monitoring and in situ sterilization of foodborne pathogens. Sens. Actuators B. 385, 133679 (2023).
Villa, K., Vyskočil, J., Ying, Y., Zelenka, J. & Pumera, M. Microrobots in brewery: dual magnetic/light-powered hybrid microrobots for preventing microbial contamination in beer. Chem. Eur. J. 26, 3039–3043 (2020).
Herrador, Z., Gherasim, A., López-Vélez, R. & Benito, A. Listeriosis in Spain based on hospitalisation records, 1997 to 2015: need for greater awareness. Eur. Surveill. 24, 1800271 (2019).
Alonso, V. A. et al. Fungi and mycotoxins in silage: an overview. J. Appl. Microbiol. 115, 637–643 (2013).
Suiker, I. M. & Wösten, H. A. B. Spoilage yeasts in beer and beer products. Curr. Opin. Food Sci. 44, 100815 (2022).
Srivastava, S. K. & Schmidt, O. G. Autonomously propelled robots for value-added product synthesis and purification. Chem. Eur. J. 22, 9072–9076 (2016).
Maria-Hormigos, R., Jurado-Sánchez, B. & Escarpa, A. Surfactant-free β-galactosidase microrobots for ‘on-the-move’ lactose hydrolysis. Adv. Funct. Mater. 28, 1704256 (2018).
Mou, F. et al. Self-propelled microrobots driven by the magnesium–water reaction and their hemolytic properties. Angew. Chem. Int. Ed. 52, 7208–7212 (2013).
Wu, M., Koizumi, Y., Nishiyama, H., Tomita, I. & Inagi, S. Buoyant force-induced continuous floating and sinking of Janus microrobots. RSC Adv. 8, 33331–33337 (2018).
Maria-Hormigos, R., Mayorga-Martinez, C. C., Kinčl, T. & Pumera, M. Nanostructured hybrid BioBots for beer brewing. ACS Nano 17, 7595–7603 (2023).
Dabbagh, S. R. et al. 3D-printed microrobots from design to translation. Nat. Commun. 13, 5875 (2022).
Sharan, P., Nsamela, A., Lesher-Pérez, S. C. & Simmchen, J. Microfluidics for microswimmers: engineering novel swimmers and constructing swimming lanes on the microscale, a tutorial review. Small 17, 2007403 (2021).
Ju, X. et al. Technology roadmap of micro/nanorobots. ACS Nano https://doi.org/10.1021/acsnano.5c03911 (2025).
Abbasi, S. A., et al. Autonomous 3D positional control of a magnetic microrobot using reinforcement learning. Nat. Mach. Intell. 6, 92–105 (2024).
Acknowledgements
M.P. acknowledges the financial support of the ERDF/ESF project TECHSCALE (no. CZ.02.01.01/00/22_008/0004587). C.C.M.-M. was co-funded by the European Union under the REFRESH – Research Excellence For REgion Sustainability and High-tech Industries project number CZ.10.03.01/00/22_003/0000048 via the Operational Programme Just Transition. R.M.-H. thanks the Czech Science Foundation (GAČR) for funding project number 22-04132I.
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All authors contributed to the writing of the paper. All authors have approved the final version of the paper. M.P. originated the idea of the paper and provided direction. R.M.-H. wrote the initial draft, with help from other co-authors. C.C.M.-M. and M.P. redesigned the original draft.
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Maria-Hormigos, R., Mayorga-Martinez, C.C. & Pumera, M. Microrobots in food science and technology. Nat Food 6, 1124–1132 (2025). https://doi.org/10.1038/s43016-025-01261-5
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DOI: https://doi.org/10.1038/s43016-025-01261-5


