Wei Xiaobao, Shao Xingfeng, Wei Yingying, Cheong Lingzhi, Pan Leiqing, Tu Kang
1Department of Food Science and Engineering, Ningbo University, Ningbo, China.
2College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China.
J Food Sci Technol. 2018 Jun;55(6):2152-2159. doi: 10.1007/s13197-018-3132-z. Epub 2018 Apr 27.
Peony seed oil has recently been introduced as a high-quality food oil. Because the high price of peony seed oil may tempt unscrupulous merchants to dilute it with cheaper substitutes, a rapid detection method for likely adulterants is required. In this study, the fatty acid composition of peony seed oil and four less expensive edible oils (soybean oil, corn oil, sunflower oil, and rapeseed oil) were measured by gas chromatography mass spectrometry. Peony oil adulterated by other edible oils was assessed using iodine values to estimate the extent of adulteration. Adulteration was also measured using an electronic nose (E-nose) combined with principal component analysis (PCA) or linear discriminant analysis (LDA). Results indicated that peony seed oil was highly enriched in α-linolenic acid. Although the iodine value can be used to detect some adulterants by measuring unsaturation, it was not able to detect all four potential adulterants. In contrast, the E-nose can rapidly identify adulterated peony seed oil by sampling vapor. Data analyses using PCA and LDA show that LDA more effectively clusters the data, discriminates between pure and adulterated oil, and can detect adulteration at the 10% level. E-nose combined with LDA suitable for detection of peony seed oil adulteration.
牡丹籽油最近被作为一种高品质食用油推出。由于牡丹籽油价格高昂,可能会诱使无良商家用更便宜的替代品对其进行稀释,因此需要一种快速检测可能掺假成分的方法。在本研究中,采用气相色谱 - 质谱联用仪测定了牡丹籽油和四种较便宜的食用油(大豆油、玉米油、向日葵油和菜籽油)的脂肪酸组成。利用碘值评估其他食用油掺假的牡丹籽油,以估计掺假程度。还使用电子鼻(E-nose)结合主成分分析(PCA)或线性判别分析(LDA)来检测掺假情况。结果表明,牡丹籽油富含α-亚麻酸。虽然碘值可通过测量不饱和度来检测一些掺假成分,但它无法检测出所有四种潜在的掺假成分。相比之下,电子鼻可通过对蒸汽采样快速识别掺假的牡丹籽油。使用PCA和LDA进行数据分析表明,LDA能更有效地对数据进行聚类,区分纯油和掺假油,并且能检测出10%水平的掺假情况。电子鼻结合LDA适用于检测牡丹籽油掺假。