| 美味牛肝菌矿质元素富集能力及产地鉴别 |
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| 引用本文： | 陈凤霞,杨天伟,李杰庆,刘鸿高,范茂攀,王元忠. 美味牛肝菌矿质元素富集能力及产地鉴别[J]. 食品科学, 2021, 42(10): 290-296. DOI: 10.7506/spkx1002-6630-20191104-039 |
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| 作者姓名： | 陈凤霞 杨天伟 李杰庆 刘鸿高 范茂攀 王元忠 |
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| 作者单位： | （1.云南农业大学资源与环境学院,云南 昆明 650201;2.云南省农业科学院药用植物研究所,云南 昆明 650200;3.云南省热带作物科学研究所,云南 景洪 666100;4.云南农业大学农学与生物技术学院,云南 昆明 650201） |
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| 基金项目： | 国家自然科学基金地区科学基金项目（31660591）;云南省农业基础研究联合专项面上项目（2018FG001-033） |
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| 摘 要： | 研究美味牛肝菌矿质元素含量及富集规律,建立偏最小二乘判别分析(partial least squares discrimination analysis,PLS-DA)光谱数据融合模型鉴别美味牛肝菌不同产地.测定云南省内6个产地美味牛肝菌和生长土壤样品的矿质元素,同时采集近红外光谱和紫外光谱信息.根据矿质元素含量及富集...
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| 关 键 词： | 美味牛肝菌 矿质元素 富集系数 数据融合 产地鉴别 |
Mineral Enrichment Capacity and Geographical Origin Identification of Boletus edulis |
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| CHEN Fengxia,YANG Tianwei,LI Jieqing,LIU Honggao,FAN Maopan,WANG Yuanzhong. Mineral Enrichment Capacity and Geographical Origin Identification of Boletus edulis[J]. Food Science, 2021, 42(10): 290-296. DOI: 10.7506/spkx1002-6630-20191104-039 |
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| Authors: | CHEN Fengxia YANG Tianwei LI Jieqing LIU Honggao FAN Maopan WANG Yuanzhong |
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| Affiliation: | (1. College of Resources and Environmental Sciences, Yunnan Agricultural University, Kunming 650201, China; 2. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China;3. Yunnan Institute for Tropical Crop Research, Jinghong 666100, China;4. College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China) |
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| Abstract: | The objectives of this research were to 1) determine the mineral element contents and enrichment characteristics of Boletus edulis and 2) establish a model using partial least squares-discrimination analysis (PLS-DA) combined with spectral data fusion for identifying different geographical origins of B. eduils. The mineral elements of B. edulis and soil samples from six producing areas in Yunnan province were determined and the near-infrared and ultraviolet spectral information was collected. The accumulation characteristics and enrichment capacity of mineral elements by B. edulis were analyzed based on mineral element contents and enrichment coefficient. Savitzky-Golay (SG), second derivatives (2D), standard normal variables (SNV) and multiple-scattering correction (MSC) were used to pre-process spectral data. A monospectral data model was established using PLS-DA. The results showed that B. edulis was rich in K and P, and all tested minerals varied with the geographical origin with the highest Na level being 20.70 times as great as the lowest level. The content of Fe in soils from the six producing areas was the largest, which may be related to the acidity of the soils. The enrichment capacity of P, K and Zn in B. edulis was strong, with an enrichment factor of 4.63 for P. The optimal pretreatment methods for near-infrared and ultraviolet spectra were SG + 2D and SG + MSC, giving an accuracy for the prediction set of 88.46% and 96.15%, respectively. The intermediate fusion model had the best prediction performance. The Holtelling T2 test revealed that all samples fell within the 95% confidence interval, and the accuracy for the training and prediction sets was 100.00% and 92.31%, respectively. The results obtained in this study will be useful for the rational utilization of wild edible fungi resources in Yunnan. |
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| Keywords: | Boletus edulis mineral elements enrichment coefficient data fusion geographical origin identification, |
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