한빛사논문
Weizheng Wang1,*, Youngsang You2,*, Sundaram Gunasekaran1
1Department of Biological SystemsEngineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
2Department of Food Engineering, Dankook University, Cheonan, Chungnam, Republic of Korea
Correspondence : Sundaram Gunasekaran, Department of Biological Systems Engineering, University of Wisconsin-Madison, 460 HenryMall, Madison, WI 53706, USA
*Weizheng Wang and Youngsang You contributed equally to this study.
Abstract
Ensuring consistently high quality and safety is paramount to food producers and consumers alike. Wet chemistry and microbiological methods provide accurate results, but those methods are not conducive to rapid, onsite testing needs. Hence, many efforts have focused on rapid testing for food quality and safety, including the development of various biosensors. Herein, we focus on a group of biosensors, which provide visually recognizable colorimetric signals within minutes and can be used onsite. Although there are different ways to achieve visual color-change signals, we restrict our focus on sensors that exploit the localized surface plasmon resonance (LSPR) phenomenon of metal nanoparticles, primarily gold and silver nanoparticles. The typical approach in the design of LSPR biosensors is to conjugate biorecognition ligands on the surface of metal nanoparticles and allow the ligands to specifically recognize and bind the target analyte. This ligand–target binding reaction leads to a change in color of the test sample and a concomitant shift in the ultraviolet-visual absorption peak. Various designs applying this and other signal generation schemes are reviewed with an emphasis on those applied for evaluating factors that compromise the quality and safety of food and agricultural products. The LSPR-based colorimetric biosensing platform is a promising technology for enhancing food quality and safety. Aided by the advances in nanotechnology, this sensing technique lends itself easily for further development on field-deployable platforms such as smartphones for onsite and end-user applications.
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