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作 者:孙亚娟[1,2,3] 王进英[1,2,3] 陈选[1,2,3] 金超[1,2,3] 钟海雁[1,2,3] 周波[1,2,3] SUN Ya-juan WANG Jin-ying CHEN Xuan JIN Chao ZHONG Hai-yan ZHOU Bo(School of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China Hunan Province Key Laboratory of Grain,Oil Processing and Quality Control,Changsha 410004 ,China Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees of Education Ministry, Central South University of Forestry and Technology, Changsha 410004, China)
机构地区:[1]中南林业科技大学食品科学与工程学院,湖南长沙410004 [2]粮油深加工与品质控制湖南省重点实验室,湖南长沙410004 [3]经济林培育与保护省部共建教育部重点实验室,湖南长沙410004
出 处:《食品工业科技》2017年第1期296-299,共4页Science and Technology of Food Industry
基 金:油料脂质化学与营养湖北省重点实验室开放性课题(2014KF06);湖南省自然科学基金(11JJ4027);国家林业局948项目(2013-4-01)
摘 要:以17种不同的杏仁油为原料,采用顶空固相微萃取(SPME)和气相色谱仪测定了其挥发性成分,建立了杏仁油挥发性成分指纹图谱,并采用向量夹角余弦法计算了指纹图谱相似度。结果表明,杏仁油挥发性成分指纹图谱由12个共有色谱峰构成,通过聚类分析和相似度分析,发现该指纹图谱重复性好,专属性强。在该方法的基础上,建立了菜籽油-杏仁油掺伪模型:Y=-2947.0X^3+1254.9X^2+77.661X+46.693(其中Y为菜籽油掺假比例%,X为夹角余弦cosθ),适用于掺伪量15%以上杏仁油的鉴别。To build a fingerprint based on volatile component of apricot kernel oil, we used the headspace solid phase microextraction(SPME) and GC method to determinate the volatile components of 17 kinds of different apricot kernel oil, and the fingerprint similarity was calculated by vector included angle cosine method.The results showed that the apricot kernel oil fingerprint of volatile component consisted of 12 common chromatographic peaks,and the fingerprint was of good repeatability and strong specificity according to the similarity and cluster analysis.Based on the method,we buih the adulteration model for rapeseed oil, apricot kernel oil which was that:Y = -2947.0X^3 + 1254.9X^2 + 77.661X + 46.693 (Y for rapeseed oil adulteration ratio( % ) ,X for cosθ) ,and this model could be applied to the identification of more than 15% of the amount of adulteration apricot kernel oil.
分 类 号:TS227[轻工技术与工程—粮食、油脂及植物蛋白工程]
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