基于ChatGPT的元分析,用于评估中国小麦中脱氧尼瓦伦醇污染的时间和空间特征

Chuanzhi Jiang1, Sen Li2, Di Cai2

  • 1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, China; Academy of National Food and Strategic Reserves Administration, Beijing, China.

PubMed
概括

中国小麦中脱氧尼瓦伦醇 (DON) 污染显示出显著的区域和年差异. 这项研究使用了ChatGPT辅助的元分析来有效评估DON水平,发现湿度和降水是关键影响因素.