電子鼻結(jié)合氣相色譜-質(zhì)譜法對(duì)寧夏小尾寒羊肉中鴨肉摻假的快速檢測
[Abstract]:Taking Ningxia small tail Han sheep as the research object, the cooked duck meat was mixed into mutton in different proportion to make adulterated meat samples. The meat samples were detected quickly by electronic nose and gas chromatography-mass spectrometry (GC-MS). Based on the response of electronic nose to volatile components of meat samples, Fisher linear discriminant analysis and linear regression fitting analysis were used to identify qualitatively and quantitatively and establish models. At the same time, solid phase microextraction and gas chromatography-mass spectrometry were used to detect the samples. The results show that Fisher linear discriminant analysis can distinguish different samples, the correlation coefficient of linear regression fitting analysis is up to 0.965, and the correct rate of predicting adulteration by Fisher linear discriminant analysis is 98.2. A total of 26 volatile compounds were detected by gas chromatography-mass spectrometry, including 3-cycloheptene-1-one and 3-methylbutyraldehyde, which are thought to play an important role in distinguishing different samples. The determination coefficients of partial least squares regression equations established by electronic nose and gas chromatography-mass spectrometry were higher than 0.950. There is a high correlation between the response values of S _ (1) S _ (3), S _ (5), S _ (6), S _ (8) and S _ (9) and the results of gas chromatography-mass spectrometry (GC-MS).
【作者單位】: 西北農(nóng)林科技大學(xué)食品科學(xué)與工程學(xué)院;
【基金】:“十三五”國家重點(diǎn)研發(fā)計(jì)劃重點(diǎn)專項(xiàng)(2016YFD0401500)
【分類號(hào)】:O657.63;TS251.7
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