食用菌学报2025，Vol.32Issue(1)：77-88,12.DOI:10.16488/j.cnki.1005-9873.2025.01.009
稳定同位素技术溯源羊肚菌产地
Stable Isotope Technology for Tracing Geographical Origin of Morchella spp.
摘要
Abstract
Using 140 Morchella spp.(Morchella)samples from various regions as materials,the regional differences in distribution of stable isotope ratios of carbon(δ13C),nitrogen(δ15N),hydrogen(δ2H),and oxygen(δ18O)were measured,analyzed and employed for tracing geographical origin of Morchella through one-way analysis of variance(ANOVA),box plot,principal component analysis(PCA),partial least squares discriminant analysis(PLS-DA),support vector machines(SVM),learning vector quantization neural networks(LVQNN),and random forest(RF).The results showed significant differences in the mean δ13C values between Henan and Sichuan Morchella,the mean δ2H values between Yunnan Morchella and the Morchella samples from Chongqing,Fujian,and Guizhou,and the mean δ18O values between Chongqing and Gansu Morchella.Based on differences in δ2H,δ15N,and δ13C values,Yunnan Morchella was preliminarily distinguished from those of Sichuan,Chongqing,and Guizhou by PCA.The optimal exclusive traceability model for Yunnan Morchella was RF,with a prediction accuracy of 94.29％,and δ2H and 813C values were the primary indicators for traceability.For Morchella from Henan,Sichuan,Guizhou,and Chongqing,the optimal exclusive traceability models were RF,SVM optimized by grid search,SVM optimized by a genetic algorithm,and SVM optimized by a genetic algorithm,respectively.Their prediction accuracy values were 97.14％,85.71％,80.00％,and 97.14％,respectively.The primary indicator for the traceability of Morchella from these four regions was 818O value.These findings indicated that the stable isotope technology can provide technical support for the traceability of geographical origin of Morchella.关键词
羊肚菌/稳定同位素/产地溯源/化学计量学方法Key words
Morchella spp./stable isotopes/traceability of geographical origin/chemometrics method引用本文复制引用
刘星,饶钦雄,卢阳阳,耿昊,赵晓燕,宋卫国..稳定同位素技术溯源羊肚菌产地[J].食用菌学报,2025,32(1):77-88,12.基金项目
国家重点研发计划项目(2022YFF0606800) （2022YFF0606800）
上海市农业科学院卓越团队[2022(B-010)] （B-010）
