红外光谱法对牛肝菌种类鉴别及镉含量预测研究
发布时间：2018-12-18 10:24
【摘要】：建立红外光谱快速鉴别牛肝菌种类及预测牛肝菌中重金属镉(Cd)含量的方法。采集11种牛肝菌共98个子实体的红外光谱信息,解析牛肝菌的红外光谱,用一阶导数、标准正态变量和多元散射校正对原始光谱进行预处理,通过PLS-DA鉴别牛肝菌种类。采用ICP-AES法测定牛肝菌中有毒重金属Cd含量,分析牛肝菌对Cd的富集规律并与GB 2762—2012规定的食用菌中Cd限量标准比较,评价牛肝菌的食用安全性。以食用菌对重金属Cd的富集机理为切入点,将牛肝菌红外光谱数据和Cd含量数据进行拟合,用PLS模型快速预测牛肝菌的Cd含量。结果显示:(1)牛肝菌红外光谱经过适当的预处理进行PLS-DA,前三个主成分累积贡献率达到79.3%,PLS-DA的三维得分图能明显区分不同种类牛肝菌;(2)不同产地、种类牛肝菌对重金属Cd的富集存在差异,其含量在0.05~23.41mg·kg~(-1) dw之间,除了采自昆明五华区的灰疣柄牛肝菌外,多数样品的Cd含量超过GB2762-2012的限量标准,食用有一定的健康风险;(3)牛肝菌红外光谱数据与Cd含量拟合后进行正交信号校正-小波压缩优化处理,用PLS模型预测牛肝菌的Cd含量;训练集和验证集的R~2分别为0.851 9和0.882 4,RMSEE和RMSEP分别为2.59和2.67,大部分牛肝菌的Cd含量预测值与真实值较接近,表明PLS模型可用于牛肝菌Cd含量快速预测。傅里叶变换红外光谱结合化学计量学能实现牛肝菌种类快速鉴别及Cd含量准确预测,为牛肝菌种类鉴别和质量控制提供快速、有效的方法。
[Abstract]:A method for identifying the species of Boletus and predicting the content of cadmium (Cd) in Boletus was established by infrared spectroscopy. The infrared spectra of 98 fruiting bodies of 11 species of Boletus were collected, and the infrared spectra of Boletus were analyzed. The original spectra were pretreated with first derivative, standard normal variables and multivariate scattering correction. The species of Boletus were identified by PLS-DA. The content of toxic heavy metal Cd in Boletus was determined by ICP-AES method, and the enrichment rule of Cd by Boletus was analyzed, and compared with the limit standard of Cd in edible fungi stipulated by GB 2762-2012, the edible safety of Boletus was evaluated. Based on the enrichment mechanism of heavy metal Cd by edible fungi, the infrared spectrum data of Boletus and the data of Cd content were fitted, and the Cd content of Boletus was predicted quickly by PLS model. The results showed that: (1) the cumulative contribution rate of the first three principal components of PLS-DA, was 79.3% by infrared spectrum of Boletus and the three dimensional score map of PLS-DA could distinguish different species of Boletus obviously; (2) the enrichment of heavy metal Cd by Boletus species was different in different habitats, and its content was between 0.05~23.41mg kg~ (-1) dw, except for Boletus gramintifolia collected from Wuhua area of Kunming. The Cd content of most samples exceeded the limit standard of GB2762-2012, and there was a certain health risk in eating it. (3) after fitting the infrared spectrum data of Boletus and Cd content, the orthogonal signal correction-wavelet compression optimization was carried out, and the Cd content of Boletus was predicted by PLS model. The RMMSEE and RMSEP of the training set and the validation set were 0.851 9 and 0.882 4 鈩，
本文编号：2385711
[Abstract]:A method for identifying the species of Boletus and predicting the content of cadmium (Cd) in Boletus was established by infrared spectroscopy. The infrared spectra of 98 fruiting bodies of 11 species of Boletus were collected, and the infrared spectra of Boletus were analyzed. The original spectra were pretreated with first derivative, standard normal variables and multivariate scattering correction. The species of Boletus were identified by PLS-DA. The content of toxic heavy metal Cd in Boletus was determined by ICP-AES method, and the enrichment rule of Cd by Boletus was analyzed, and compared with the limit standard of Cd in edible fungi stipulated by GB 2762-2012, the edible safety of Boletus was evaluated. Based on the enrichment mechanism of heavy metal Cd by edible fungi, the infrared spectrum data of Boletus and the data of Cd content were fitted, and the Cd content of Boletus was predicted quickly by PLS model. The results showed that: (1) the cumulative contribution rate of the first three principal components of PLS-DA, was 79.3% by infrared spectrum of Boletus and the three dimensional score map of PLS-DA could distinguish different species of Boletus obviously; (2) the enrichment of heavy metal Cd by Boletus species was different in different habitats, and its content was between 0.05~23.41mg kg~ (-1) dw, except for Boletus gramintifolia collected from Wuhua area of Kunming. The Cd content of most samples exceeded the limit standard of GB2762-2012, and there was a certain health risk in eating it. (3) after fitting the infrared spectrum data of Boletus and Cd content, the orthogonal signal correction-wavelet compression optimization was carried out, and the Cd content of Boletus was predicted by PLS model. The RMMSEE and RMSEP of the training set and the validation set were 0.851 9 and 0.882 4 鈩，
本文编号：2385711
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