Low-Cost Optics for Field-Based Optical Biosensors

dc.contributor.author Kriuchkovskaia, Viktoriia
dc.contributor.department Chemical and Biological Engineering
dc.date 2018-02-18T16:36:34.000
dc.date.accessioned 2020-07-07T05:11:43Z
dc.date.available 2020-07-07T05:11:43Z
dc.date.issued 2017-04-11
dc.description.abstract <p>One of the main reasons of failures to ensure safe food production, especially in developing countries, is the lack of effective, low-cost detectors for toxic molecules. The manufacture of low-cost, easy-touse optical biosensors is expected to provide the means to detect toxic chemical and biological molecules in agricultural industry. Thus, such technologies are highly beneficial for in-field applications. The proposed approach integrates fairly sophisticated engineering concepts and low-cost parts and materials. Indeed, we employ low-cost light-emitting diode and single-board Raspberry Pi computer in order to build a fifty-dollar optical reader that can be applied to Nanotube-based biosensors. Previous research and our findings have shown promising results which offer the prospect to proceed to further steps in our research.</p>
dc.identifier archive/lib.dr.iastate.edu/undergradresearch_symposium/2017/presentations/31/
dc.identifier.articleid 1211
dc.identifier.contextkey 10452353
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath undergradresearch_symposium/2017/presentations/31
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/91797
dc.relation.ispartofseries Symposium on Undergraduate Research and Creative Expression
dc.source.bitstream archive/lib.dr.iastate.edu/undergradresearch_symposium/2017/presentations/31/Session_20II.B.3_Kriuchkovskaia.pptx|||Fri Jan 14 23:30:45 UTC 2022
dc.subject.disciplines Bioimaging and Biomedical Optics
dc.title Low-Cost Optics for Field-Based Optical Biosensors
dc.type event
dc.type.genre event
dspace.entity.type Publication
relation.isOrgUnitOfPublication 86545861-382c-4c15-8c52-eb8e9afe6b75
relation.isSeriesOfPublication 6730f354-97b8-4408-bad3-7e5c3b2fca9d
thesis.degree.discipline Chemical Engineering and Mathematics
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