近红外光谱技术的花生产毒霉菌侵染快速检测
发布时间：2018-07-31 04:59
【摘要】：为了能够快速、无损地评价花生的质量,确保储藏与食用安全,开发了一种基于近红外光谱技术的花生产毒霉菌污染程度的定性定量分析方法。首先对经过Co-60强辐射杀菌后的新鲜花生样品分别接种谷物中五种常见产毒霉菌(黄曲霉3.17、黄曲霉3.3950、寄生曲霉3.395、寄生曲霉3.0124、赭曲霉3.6486),并于适宜条件下(26℃、RH 80%)储藏9d。其次,利用近红外光谱仪采集了不同时期花生样品在12 000~4 000cm-1波段范围内的漫反射光谱,运用主成分分析(PCA)、判别分析(DA)和偏最小二乘回归(PLSR)建立了分析模型。结果显示,接种不同霉菌的样品随着储藏时间的延长均能得到有效区分,DA模型对储藏0,3,6与9d花生的感染单一霉菌和多种霉菌的总体判别正确率分别达到100%和99.17%,PLSR模型对样品中的菌落总数的预测结果为:有效决定系数(R2P)为0.874 1、交互验证均方根误差(RMSECV)为0.276Log CFU·g-1,剩余预测偏差(RPD)为1.92。结果表明,近红外光谱技术可以作为一种可靠的分析方法对花生受霉菌侵染的状况进行快速分析,从而确保贮藏期间花生的质量安全。
[Abstract]:In order to evaluate the quality of peanut and ensure the safety of storage and food, a qualitative and quantitative analysis method based on near infrared spectroscopy was developed to evaluate the contamination degree of poisonous mold in flower production. Five common toxic fungi (Aspergillus flavus 3.17, Aspergillus flavus 3.3950, Aspergillus parasiticus 3.395, Aspergillus parasitica 3.0124, Aspergillus ochratus 3.6486) were inoculated with fresh peanut samples after strong radiation sterilization by Co-60, and stored for 9 days under suitable conditions (26 鈩，
本文编号：2154473
[Abstract]:In order to evaluate the quality of peanut and ensure the safety of storage and food, a qualitative and quantitative analysis method based on near infrared spectroscopy was developed to evaluate the contamination degree of poisonous mold in flower production. Five common toxic fungi (Aspergillus flavus 3.17, Aspergillus flavus 3.3950, Aspergillus parasiticus 3.395, Aspergillus parasitica 3.0124, Aspergillus ochratus 3.6486) were inoculated with fresh peanut samples after strong radiation sterilization by Co-60, and stored for 9 days under suitable conditions (26 鈩，
本文编号：2154473
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