Robotics & Machine Learning Daily News2024,Issue(Oct.16) :56-57.

China Agricultural University Researcher Yields New Study Findings on Food Resea rch (Intelligent Evaluation and Dynamic Prediction of Oyster Freshness with Elec tronic Nose Based on the Distribution of Volatile Compounds Using GC-MS Analysis )

Robotics & Machine Learning Daily News2024,Issue(Oct.16) :56-57.

China Agricultural University Researcher Yields New Study Findings on Food Resea rch (Intelligent Evaluation and Dynamic Prediction of Oyster Freshness with Elec tronic Nose Based on the Distribution of Volatile Compounds Using GC-MS Analysis )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in food re search. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The quality of oysters is reflected by volatile organic components. To rapidly assess the freshness level of oysters and elucidate the changes in flavor substances during storage, the vo latile compounds of oysters stored at 4, 12, 20, and 28 °C over varying duration s were analyzed using GC-MS and an electronic nose.” Financial supporters for this research include Research on Multi-scale Flexible Sensing And Reliable Traceability Technology in Cold Chain Process of Prefabrica ted Vegetables; 2022 Yantai Urban Parities Coordinated With University Developme nt Project.

Key words

China Agricultural University/Beijing/People’s Republic of China/Asia/Food Research

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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