基于近红外光谱定量分析植物水解蛋白掺假牛奶

发布时间：2018-04-25 16:39

  本文选题：牛奶掺假 + 近红外光谱　； 参考：《现代食品科技》2017年11期

【摘要】：植物水解蛋白是一种典型的蛋白质含氮掺假物质,被不法商贩作为廉价的蛋白质添加到牛奶中以提高其蛋白质含量。本研究自行配置不同浓度的植物水解蛋白掺假牛奶,应用近红外光谱分析仪漫反射模块直接扫描掺假样品,同时使用透射分析模块扫描三氯乙酸前处理的掺假样品;应用TQ软件分别建模并比较两种方法差异。结果表明:使用一阶导数Norris Derivative滤波预处理,在8000~5000 cm~(-1),主成分数10,使用PCR构建了最优植物水解蛋白漫反射定量分析模型,RMSEC、RMSEP和R分别为0.224、0.214和0.98414,平均回收率为93.2479%。使用一阶导数Norris Derivative滤波预处理,在10000~7000 cm~(-1),主成分数10,使用PCR构建了最优植物水解蛋白透射定量分析模型,RMSEC、RMSEP和R分别为0.175、0.138和0.99036,平均回收率为98.7351%。经过三氯乙酸处理的透射模型更加精确和稳定,可以用于牛奶中植物水解蛋白的检测,可以为牛奶品质控制和快速定量提供参考。
[Abstract]:Plant hydrolysate protein is a typical nitrogen-adulterated substance, which is added to milk by illegal traders as cheap protein to increase its protein content. In this study, different concentrations of plant hydrolysate adulterated milk were prepared, the adulterated samples were scanned directly by diffuse reflection module of near infrared spectrum analyzer, and the pretreated samples of trichloroacetic acid were scanned by transmission analysis module. TQ software was used to model and compare the two methods. The results showed that the optimal quantitative analysis model of plant hydrolysate protein was constructed by using the first derivative Norris Derivative filter at 8000g / 5000cm ~ (-1) cm ~ (-1) and main fraction of 10. The average recovery was 93.2479 and 0.224414, respectively. The optimal quantitative analysis model of plant hydrolysate protein was constructed by PCR. The optimal transmission quantitative analysis model of plant hydrolysate protein was constructed by using the first derivative Norris Derivative filter at 10 000 ~ 7 000 cm ~ (-1) ~ (-1) and the main fraction of 10. The PCR was used to construct the optimal transmission quantitative analysis model of plant hydrolysate protein, which was 0.175 ~ 0.138 and 0.99036, respectively. The average recovery was 98.7351. The transmission model treated with trichloroacetic acid is more accurate and stable. It can be used for the detection of phytohydrolysate in milk and can provide reference for milk quality control and rapid quantification.
【作者单位】： 山东理工大学生命科学学院;山东理工大学科技处;
【基金】：国家自然科学基金面上项目(31071538) 山东省自然科学基金重点项目(ZR2013FB001) 山东省大型科学仪器升级改造项目(2011SJGZ10)
【分类号】：O657.33;TS252.7
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本文编号：1802133