Ji Zhiyi, Liu Honggao, Li Jieqing, Wang Yuanzhong
College of Resources and Environmental Yunnan Agricultural University Kunming China.
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences Kunming China.
Food Sci Nutr. 2024 Aug 6;12(10):7696-7707. doi: 10.1002/fsn3.4369. eCollection 2024 Oct.
Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non-toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi-manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.36%. It was found that the best methods to improve the accuracy of the models were semi-manual selection, manual selection and algorithmic selection in that order. This study can provide rapid and accurate species identification and origin traceability of wild boletus, and provide theoretical basis for the rational use of feature variable selection methods.
野生牛肝菌是担子菌门的大型真菌，是一种营养丰富且独特的天然食品，广受喜爱。由于食用牛肝菌存在有毒和无毒种类难以区分以及重金属富集的问题，其物种鉴定和可追溯性对于确保食用质量和安全至关重要。在本研究中，衰减全反射傅里叶变换红外（ATR-FTIR）光谱技术结合手动选择法、半自动选择法和算法法这三种特征变量提取方法，用于提高模型识别的准确性和计算速度，并建立了牛肝菌物种鉴定模型，准确率高达100%，以及牛肝菌产地鉴定模型，准确率为86.36%。结果发现，提高模型准确性的最佳方法依次是半自动选择、手动选择和算法选择。本研究可为野生牛肝菌提供快速准确的物种鉴定和产地溯源，并为合理使用特征变量选择方法提供理论依据。
