FEAST of Biosensors: Food, Environmental and Agricultural Sensing Technologies (FEAST) in North America

dc.contributor.author Gomes, Carmen
dc.contributor.author McLamore, Eric
dc.contributor.author Alocilja, Evangelyn
dc.contributor.author Yu, Chenxu
dc.contributor.author Gomes, Carmen
dc.contributor.author Gunasekaran, Sundaram
dc.contributor.author Jenkins, Daniel
dc.contributor.author Datta, Shoumen
dc.contributor.author Li, Yanbin
dc.contributor.author Mao, Yu (Jessie)
dc.contributor.author Nugen, Sam
dc.contributor.author Reyes-De-Corcuera, José
dc.contributor.author Takhistov, Paul
dc.contributor.author Tsyusko, Olga
dc.contributor.author Cochran, Jarad
dc.contributor.author Tzeng, Tzuen-Rong (Jeremy)
dc.contributor.author Yoon, Jeong-Yeol
dc.contributor.author Yu, Chenxu
dc.contributor.author Zhou, Anhong
dc.contributor.department Food Science and Human Nutrition
dc.contributor.department Mechanical Engineering
dc.contributor.department Virtual Reality Applications Center
dc.contributor.department Agricultural and Biosystems Engineering
dc.contributor.department Virtual Reality Applications Center
dc.date 2021-01-28T02:21:51.000
dc.date.accessioned 2021-02-24T17:52:05Z
dc.date.available 2021-02-24T17:52:05Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2021
dc.date.embargo 2023-01-21
dc.date.issued 2021-01-21
dc.description.abstract <p>We review the challenges and opportunities for biosensor research in North America aimed to accelerate translational research. We call for platform approaches based on: i) tools that can support interoperability between food, environment and agriculture, ii) open-source tools for analytics, iii) algorithms used for data and information arbitrage, and iv) use-inspired sensor design. We summarize select mobile devices and phone-based biosensors that couple analytical systems with biosensors for improving decision support. Over 100 biosensors developed by labs in North America were analyzed, including lab-based and portable devices. The results of this literature review show that nearly one quarter of the manuscripts focused on fundamental platform development or material characterization. Among the biosensors analyzed for food (post-harvest) or environmental applications, most devices were based on optical transduction (whether a lab assay or portable device). Most biosensors for agricultural applications were based on electrochemical transduction and few utilized a mobile platform. Presently, the FEAST of biosensors has produced a wealth of opportunity but faces a famine of actionable information without a platform for analytics.</p>
dc.description.comments <p>This is a manuscript of an article published as McLamore, Eric S., Evangelyn Alocilja, Carmen Gomes, Sundaram Gunasekaran, Daniel Jenkins, Shoumen P.A. Datta, Yanbin Li, Yu (Jessie) Mao, Sam R. Nugen, José I. Reyes-De-Corcuera, Paul Takhistov, Olga Tsyusko, Jarad P. Cochran, Tzuen-Rong (Jeremy) Tzeng, Jeong-Yeol Yoon, Chenxu Yu, and Anhong Zhou. "FEAST of Biosensors: Food, Environmental and Agricultural Sensing Technologies (FEAST) in North America." <em>Biosensors and Bioelectronics</em> (2021): 113011. DOI: <a href="https://doi.org/10.1016/j.bios.2021.113011" target="_blank">10.1016/j.bios.2021.113011</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/1181/
dc.identifier.articleid 2466
dc.identifier.contextkey 21283532
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1181
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/92984
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/1181/2021_GomesCarmen_FEASTBiosensors.pdf|||Fri Jan 14 18:59:06 UTC 2022
dc.source.uri 10.1016/j.bios.2021.113011
dc.subject.disciplines Agriculture
dc.subject.disciplines Data Science
dc.subject.disciplines Environmental Monitoring
dc.subject.disciplines Food Science
dc.subject.keywords PEAS
dc.subject.keywords mobile sensing
dc.subject.keywords decision support
dc.subject.keywords informatics
dc.subject.keywords analytics
dc.subject.keywords machine learning
dc.title FEAST of Biosensors: Food, Environmental and Agricultural Sensing Technologies (FEAST) in North America
dc.type article
dc.type.genre article
dspace.entity.type Publication
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