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基于GC-MS技术的水牛乳与奶牛乳中长链脂肪酸组成差异分析及掺假识别方法初探
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黄丽(1986-),女,硕士,高级畜牧师,研究方向:水牛乳特质成分活性解析,E-mail:564979789@qq.com 通讯作者:李玲(1984-),女,硕士,正高级畜牧师,研究方向:水牛食品科学,E-mail:lling2010@163.com

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国家重点研发计划项目(2022YFD1600102);广西科技重大专项(桂科AA22068099-7);南宁市创新创业领军人才“邕江计划”资助项目(2021018)


GC-MS Analysis of Medium- and Long-Chain Fatty Acids in Buffalo and Cow Milk for Adulteration Detection
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    摘要:

    为了筛选水牛乳中特征性脂肪酸标志物,并建立识别其是否掺入奶牛乳的检测方法。该研究采用气相色谱-质谱联用技术(GC-MS)对两种乳中的脂肪酸组成进行了系统比较,并结合正交偏最小二乘判别分析(OPLS-DA)筛选差异性脂肪酸,基于差异脂肪酸构建脂肪酸比值指标,筛选出特征性比值,以此建立多指标置信区间雷达图用于牛乳的证伪鉴定。结果表明:两种乳样中均检测出50种脂肪酸,牛乳的总不饱和脂肪酸(67.14%)高于奶牛乳(61.94%)(P<0.05),而奶牛乳的总饱和脂肪酸(38.07%)则高于水牛乳(32.85%)(P<0.05);OPLS-DA模型共筛选出23种差异性脂肪酸(VIP>1),其中C22:1T、C20:3、C22:5n-6等13种脂肪酸含量显著高于奶牛乳(P<0.05);C13:0/C22:5n-6和C14:1/C22:5n-6双指标脂肪酸比值的置信区间不重叠且差异最大。综上所述,有13种脂肪酸为水牛乳的潜在特征性脂质成分,C13:0/C22:5n-6和C14:1/C22:5n-6在该实验条件下可有效区分水牛乳和奶牛乳,可作为识别水牛乳中掺入奶牛乳的潜在参考指标,具备初步的掺假识别应用价值,为水牛乳的品质鉴定和掺假识别提供了参考依据。

    Abstract:

    Gas chromatography-mass spectrometry (GC-MS) was used to systematically compare the medium- and longchain fatty acid compositions of buffalo milk and cow milk, with the aim of identifying characteristic fatty acids in buffalo milk and establishing a method for detecting adulteration with cow milk. Differential fatty acids were screened using orthogonal partial least squares discriminant analysis (OPLS-DA), and fatty acid ratio indices were constructed based on these components. Characteristic ratio indices were subsequently selected to establish a multi-index confidence interval radar chart for the authentication of buffalo milk. A total of 50 fatty acids were detected in both milk types. The total unsaturated fatty acid content in buffalo milk (67.14%) was significantly higher than that in cow milk (61.94%) (P<0.05), whereas the total saturated fatty acid content was higher in cow milk (38.07%) than in buffalo milk (32.85%) (P<0.05). Based on the OPLS-DA model, 23 differential fatty acids (VIP>1) were identified, among which 13 fatty acids, including C22:1T, C20:3, and C22:5n-6, were significantly more abundant in buffalo milk than in cow milk (P<0.05). The confidence intervals of the two fatty acid ratio indices, C13:0/C22:5n-6 and C14:1/C22:5n-6, did not overlap and exhibited the largest differences between the two milk types. These results indicate that the two ratio indices can effectively distinguish buffalo milk from cow milk under the experimental conditions applied. The identified fatty acids and ratio indices show potential as reference markers for the detection of buffalo milk adulteration and may provide practical value for milk quality authentication.

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黄丽,彭芹,杨攀,施纵策,王睿敏,黄文婷,黄子珍,罗凤棉,姜佳齐,李玲.基于GC-MS技术的水牛乳与奶牛乳中长链脂肪酸组成差异分析及掺假识别方法初探[J].现代食品科技,2026,42(5):357-366.

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  • 收稿日期:2024-12-24
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  • 在线发布日期: 2026-06-09
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