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奶茶粉脂肪酸指纹特征及真实性判别模型建立
引用本文:叶 乐,李 琪,张利妹,郭 军. 奶茶粉脂肪酸指纹特征及真实性判别模型建立[J]. 食品安全质量检测学报, 2023, 14(18): 173-180
作者姓名:叶 乐  李 琪  张利妹  郭 军
作者单位:内蒙古农业大学,内蒙古农业大学,内蒙古农业大学,内蒙古农业大学
基金项目:内蒙古自治区自然科学(2023SHZR0563)
摘    要:目的 评价以脂肪酸(fatty acid, FAs)指纹建立奶茶粉真实性判别模型的可行性。方法 采集生牛乳喷雾干燥(湿法)和植脂末、乳粉、炼乳粉粉末原料混合制备(干法)奶茶粉138种产品,并采集植脂末、奶油粉和奶粉为参照样品,气相色谱法检测FAs,进行差异性比较,并进行正交偏最小二乘判别分析(orthogonalpartial least squares discriminant analysis, OPLS-DA)和层聚类分析(hierarchical cluster analysis,HCA),观察各种类奶茶粉样品聚类特征,评价模式相似度。构建奶茶粉掺植脂末OPLS-DA和偏最小二乘(partial least square, PLS)预测模型。结果 生牛乳湿法制备的奶茶粉与其他3种干法制备的奶茶粉FAs指纹显著不同,与奶粉有同质性,两者模式相似度为94.9%; 3种干法制备的奶茶粉与植脂末、奶油粉存在同质性,可归入同一个大类,模式相似度为27.2%。OPLS-DA和PLS模型有良好的预测能力,可以区分0%植脂末(奶粉)与添加12.5%植脂末的人工奶茶粉样品。3种市售干法制备奶茶粉...

关 键 词:奶茶粉  脂肪酸  真实性  正交偏最小二乘判别分析  偏最小二乘法
收稿时间:2023-06-14
修稿时间:2023-09-15

Fatty acid fingerprint characteristics and establishment of authenticity discrimination model for milk tea powder
YE Le,LI Qi,ZHANG Li-Mei,GUO Jun. Fatty acid fingerprint characteristics and establishment of authenticity discrimination model for milk tea powder[J]. Journal of Food Safety & Quality, 2023, 14(18): 173-180
Authors:YE Le  LI Qi  ZHANG Li-Mei  GUO Jun
Affiliation:College of Food Science and Engineering,Inner Mongolia Agricultural University,College of Food Science and Engineering,Inner Mongolia Agricultural University,College of Food Science and Engineering,Inner Mongolia Agricultural University,College of Food Science and Engineering,Inner Mongolia Agricultural University
Abstract:ABSTRACT:Objective In order to evaluate the feasibility of establishing milk tea powder authenticity discrimination model based on fatty acid (FAs) fingerprints. Methods 138 kinds of products in milk tea powder were collected by spray drying of raw milk (wet method) and mixing powder raw materials of non-dairy creamer, milk powder and condensed milk powder (dry method), and non-dairy creamer, cream powder and milk powder were collected as reference samples. FAs was detected by gas chromatography, and the differences were compared. Orthogonal partial least squares discriminant analysis (OPLS-DA) and hierarchical cluster analysis (HCA) were used to observe the clustering characteristics of various milk tea powder-like samples and evaluate the pattern similarity. OPLS-DA and partial least square (PLS) prediction model of milk tea powder mixed with non-dairy creamer was constructed. Results Milk tea powder prepared by wet method of raw milk is significantly different from milk tea powder FAs fingerprints prepared by other three dry methods, and it is homogeneous with milk powder, and the similarity between them is 94.4%. Milk tea powder prepared by three dry methods is homogeneous with non-dairy creamer and cream powder, which can be classified into the same category, and the pattern similarity is 27.2%. OPLS-DA and PLS models have good prediction ability, and can distinguish 0% non-dairy creamer (milk powder) from artificial milk tea powder samples with 12.5% non-dairy creamer. The mixing amount of three commercially available dry methods for preparing milk tea powder non-dairy creamer ranged from 50% to 100%, and raw milk for preparing milk tea powder was also filled with powdered oil. Conclusion FAs fingerprint can be used to distinguish the milk tea powder produced by wet method and dry method of pure raw milk, and the qualitative and quantitative models for judging the authenticity of milk tea powder can be established, which provides innovative strategies and methods for judging the authenticity of milk tea powder.
Keywords:Milk tea powder  Fatty acid  Authenticity  Principal Component Analysis  Partial Least Square
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