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Fingerprinting Green Curry: An Electrochemical Approach to Food Quality Control
Author(s) -
Thanyarat Chaibun,
Chan Laovorakiat,
Anthony P. O’Mullane,
Benchaporn Lertanantawong,
Werasak Surareungchai
Publication year - 2018
Publication title -
acs sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.055
H-Index - 57
ISSN - 2379-3694
DOI - 10.1021/acssensors.8b00176
Subject(s) - differential pulse voltammetry , fingerprint (computing) , food industry , reproducibility , identification (biology) , food quality , process engineering , computer science , materials science , biological system , pulp and paper industry , nanotechnology , electrode , electrochemistry , cyclic voltammetry , food science , chemistry , chromatography , artificial intelligence , engineering , botany , biology
The detection and identification of multiple components in a complex sample such as food in a cost-effective way is an ongoing challenge. The development of on-site and rapid detection methods to ensure food quality and composition is of significant interest to the food industry. Here we report that an electrochemical method can be used with an unmodified glassy carbon electrode for the identification of the key ingredients found within Thai green curries. It was found that green curry presents a fingerprint electrochemical response that contains four distinct peaks when differential pulse voltammetry is performed. The reproducibility of the sensor is excellent as no surface modification is required and therefore storage is not an issue. By employing particle swarm optimization algorithms the identification of ingredients within a green curry could be obtained. In addition, the quality and freshness of the sample could be monitored by detecting a change in the intensity of the peaks in the fingerprint response.

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