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作 者:杨希 邓莉 王立博 王毅 张永辉 罗丹 罗兴 YANG Xi;DENG Li;WANG Libo;WANG Yi;ZHANG Yonghui;LUO Dan;LUO Xing(Sichuan Light-Industry Research and Design Institute Company Limited,Chengdu 610081,China)
机构地区:[1]四川省轻工业研究设计院有限公司,四川成都610081
出 处:《现代食品》2024年第7期206-210,214,共6页Modern Food
基 金:四川省科技成果转化项目“近红外光谱多参数鉴别模型在调味品原料快速质控中的成果转化”(2022JDZH0017)。
摘 要:利用近红外光谱法结合偏最小二乘法构建定量分析模型,同时实现花椒中麻素及精油含量的快速无损检测。取92份花椒样品,采集近红外光谱用于模型的建立及验证。采用二阶导数进行光谱预处理,在优选的波数范围和主因子下,建立的麻素及精油定量模型的相关系数分别为0.9665和0.9778,预测均方差分别为0.470和0.413,在外部验证中相对偏差均小于5%,说明所建模型预测性能良好,可用于花椒品质的快速评价。A rapid and non-destructive method for the determination of sanshool and essential oil content in Zanthoxylum bungeanum Maxim.was proposed by near infrared spectroscopy combined with least squares method.Taking 92 samples of Zanthoxylum bungeanum Maxim.as object,using the second derivative for spectral preprocessing,under the optimum spectral range and the main factor,the quantitative models for sanshool and essential oil were established and validated.The results showed that the correlation coefficients were 0.9665 and 0.9778,the predicted mean square deviation were 0.470 and 0.413,and the relative deviation is less than 5%in the external verification.The established model exhibited high quality and strong prediction ability,providing a potential application in rapid quality evaluation of Zanthoxylum bungeanum Maxim.
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