FEAST of biosensors: Food, environmental and agricultural sensing technologies (FEAST) in North America

被引:21
|
作者
McLamore, Eric S. [1 ]
Alocilja, Evangelyn [2 ]
Gomes, Carmen [3 ]
Gunasekaran, Sundaram [4 ]
Jenkins, Daniel [5 ]
Datta, Shoumen P. A. [6 ,7 ,8 ]
Li, Yanbin [9 ]
Mao, Yu [10 ]
Nugen, Sam R. [11 ]
Reyes-De-Corcuera, Jose, I [12 ]
Takhistov, Paul [13 ]
Tsyusko, Olga [14 ]
Cochran, Jarad P. [14 ]
Tzeng, Tzuen-Rong [15 ]
Yoon, Jeong-Yeol [16 ]
Yu, Chenxu [17 ]
Zhou, Anhong [18 ]
机构
[1] Clemson Univ, Agr Sci, Clemson, SC 29634 USA
[2] Michigan State Univ, Biosyst & Agr Engn, Ann Arbor, MI USA
[3] Iowa State Univ, Mech Engn, Ames, IA USA
[4] Univ Wisconsin Madison, Biol Syst Engn, Madison, WI USA
[5] Univ Hawaii Manoa, Mol Biosci & Bioengn, Honolulu, HI USA
[6] MIT, Dept Mech Engn, MIT Auto ID Labs, Cambridge, MA USA
[7] Harvard Med Sch, Massachusetts Gen Hosp, Dept Anesthesiol, MDPnP Interoperabil & Cybersecur Labs,Biomed Engn, Boston, MA USA
[8] Purdue Univ, NSF Ctr Robots & Sensors Human Well Being RoSeHuB, Collaborat Robot Lab Sch Engn Technol, W Lafayette, IN USA
[9] Univ Arkansas, Biol Engn, Fayetteville, AR USA
[10] Oklahoma State Univ, Biosyst & Agr Engn, Stillwater, OK USA
[11] Cornell Univ, Food Sci, Ithaca, NY USA
[12] Univ Georgia, Food Sci & Technol, Athens, GA USA
[13] Rutgers State Univ, Food Sci, Brunswick, ME USA
[14] Univ Kentucky, Plant & Soil Sci, Lexington, KY USA
[15] Clemson Univ, Biol Sci, Clemson, SC USA
[16] Univ Arizona, Biomed Engn, Tucson, AZ USA
[17] Iowa State Univ, Agr & Biosyst Engn, Ames, IA USA
[18] Utah State Univ, Biol Engn, Ames, IA USA
来源
基金
美国食品与农业研究所;
关键词
PEAS; Mobile sensing; Decision support; Informatics; Analytics; Machine learning; SURFACE-PLASMON RESONANCE; WASTE-WATER TREATMENT; SOLUTION P-31 NMR; RAPID DETECTION; GOLD NANOPARTICLES; ESCHERICHIA-COLI; SILVER NANOPARTICLES; RAMAN-SPECTROSCOPY; ELECTROCHEMICAL BIOSENSORS; ENGINEERED NANOPARTICLES;
D O I
10.1016/j.bios.2021.113011
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
收藏
页数:24
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