Abstract
Objective:This study aimed to solve the problem of quantitative detection of adulteration of extracted camellia seed oil into pressed camellia seed oil.Methods:HS-SPME-GC-MS was used to determine and analyze the key aroma components of refined camellia oil and three kinds of extracted camellia oil with essence.The relative contents of aroma components in 4 kinds of original camellia oil and 10 kinds of roasted camellia oil were compared with those in extracted camellia oil. Fisher discriminant analysis was carried out with the characteristic data of aroma components in extracted camellia oil, and LDA model was established.Results:The key volatile components in tea oil extracted by refining were (E)-2-decenal, octanal, (E)-2-nonenal and nonaldehyde. The special aroma components of the three flavoring extracts were 2-methoxy-3-methylpyrazine, methyl cyclopentenolone and 2-methylpyrazine.The accuracy of LDA model was 84.0% and 83.6%, respectively, and it could identify the adulterated tea oil with 10% or more in the original and roasted tea oil.Conclusion:The LDA model of original camellia oil could well identify the extracted camellia oil with tea oil essence, but could not work in the model of roasted camellia oil.
Publication Date
7-7-2022
First Page
51
Last Page
59
DOI
10.13652/j.spjx.1003.5788.2022.90010
Recommended Citation
Ze-ming, CHEN; Xin-xin, ZHAO; Xiao-yang, ZHU; Bo, ZHOU; and Hai-yan, ZHONG
(2022)
"Adulteration model establishment of camellia oil based on aroma components extracted from camellia oil and its application,"
Food and Machinery: Vol. 38:
Iss.
3, Article 8.
DOI: 10.13652/j.spjx.1003.5788.2022.90010
Available at:
https://www.ifoodmm.cn/journal/vol38/iss3/8
References
[1] 朱晓阳,龙奇志,钟海雁.炒籽温度对茶油关键香气成分及感官品质的影响[J].食品与机械,2019,35(5):48-54.ZHU Xiao-yang,LONG Qi-zhi,ZHONG Hai-yan.Effects of stir-fried seed temperature on key aroma components and sensory quality of camellia oil[J].Food & Machinery,2019,35(5):48-54.
[2] XIE J,LIU T,YU Y,et al.Rapid detection and quantification by GC MS of camellia seed oil adulterated with soybean oil[J].Journal of the American Oil Chemists Society,2013,90(5):641-646.
[3] 张东生,金青哲,王兴国,等.基于脂肪酸组成甄别油茶籽油掺伪的研究[J].中国粮油学报,2015,30(1):124-128.ZHANG Dong-sheng,JIN Qing-zhe,WANG Xing-guo,et al.Identification of adulteration of camellia oleifera seed oil based on fatty acid composition[J].Journal of the Chinese Cereals and Oils Association,2015,30(1):124-128.
[4] HAI Z,WANG J.Detection of adulteration in camellia seed oil and sesame oil using an electronic nose[J].European Journal of Lipid Science and Technology,2006,108(2):116-124.
[5] LI R,HUANG J,HUANG L,et al.Comparison of GC and DSC monitoring the adulteration of camellia oil with selected vegetable oils[J].Journal of Thermal Analysis and Calorimetry,2016,126(3):1 735-1 746.
[6] LI S,ZHU X,ZHANG J,et al.Authentication of pure camellia oil by using near infrared spectroscopy and pattern recognition techniques[J].Journal of Food Science,2012,77(4):C374-C380.
[7] 吴翠蓉.油茶籽油掺假测定方法的研究[D].杭州:浙江工业大学,2013.WU Cui-rong.Study on determination of adulteration of camellia oleifera seed oil[D].Hangzhou:Zhejiang University of Technology,2013.
[8] 周波,冯纳,廖泽鹏,等.基于特征脂肪酸和不同等价碳数甘油三酯的油茶籽油掺伪鉴别模型的建立[J].中国油脂,2018,43(11):73-79,88.ZHOU Bo,FENG Na,LIAO Zhe-peng,et al.Establishment of adulteration identification model of Camellia oleifera seed oil based on characteristic fatty acids and different equivalent carbon triglycerides[J].China Oils and Fats,2018,43(11):73-79,88.
[9] 朱晓阳,钟海雁.稻草包饼材料对茶油感官品质的影响[J].经济林研究,2019,37(2):49-57.ZHU Xiao-yang,ZHONG Hai-yan.Effect of straw bale on sensory quality of camellia oil[J].Non-wood Forest Research,2019,37(2):49-57.
[10] 刘登勇,周光宏,徐幸莲.确定食品关键风味化合物的一种新方法:“ROAV”法[J].食品科学,2008(7):370-374.LIU Deng-yong,ZHOU Guang-hong,XU Xing-lian.A new method to identify key flavor compounds in food:The "ROAV" method[J].Food Science,2008(7):370-374.
[11] 朱晓阳.茶油主要感官品质的分析及其在掺伪鉴别中的应用[D].长沙:中南林业科技大学,2019.ZHU Xiao-yang.Analysis of main sensory quality of Camellia oil and its application in adulteration identification[D].Changsha:Central South University of Forestry and Technology,2019.