McLamore Eric S, Alocilja Evangelyn, Gomes Carmen, Gunasekaran Sundaram, Jenkins Daniel, Datta Shoumen P A, Li Yanbin, Mao Yu Jessie, Nugen Sam R, Reyes-De-Corcuera José I, Takhistov Paul, Tsyusko Olga, Cochran Jarad P, Tzeng Tzuen-Rong Jeremy, Yoon Jeong-Yeol, Yu Chenxu, Zhou Anhong
Agricultural Sciences, Clemson University, USA.
Biosystems and Agricultural Engineering, Michigan State University, USA.
Biosens Bioelectron. 2021 Apr 15;178:113011. doi: 10.1016/j.bios.2021.113011. Epub 2021 Jan 21.
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.
我们回顾了北美生物传感器研究在加速转化研究方面所面临的挑战和机遇。我们呼吁采用基于以下方面的平台方法：i）能够支持食品、环境和农业之间互操作性的工具；ii）用于分析的开源工具；iii）用于数据和信息套利的算法；iv）以应用为导向的传感器设计。我们总结了一些将分析系统与生物传感器相结合以改善决策支持的移动设备和基于手机的生物传感器。对北美实验室开发的100多种生物传感器进行了分析，包括基于实验室的设备和便携式设备。这篇文献综述的结果表明，近四分之一的手稿专注于基础平台开发或材料表征。在分析用于食品（收获后）或环境应用的生物传感器中，大多数设备基于光学传感（无论是实验室检测还是便携式设备）。大多数用于农业应用的生物传感器基于电化学传感，很少使用移动平台。目前，丰富多样的生物传感器带来了大量机会，但如果没有分析平台，就会面临可操作信息匮乏的问题。
