Abstract:Sesame oil is one of the essential cooking oil, and it has been consumed in daily life. The intake of adulterated sesame oil leads to severe health problems. Thus the method to identify adulteration is significant research. Saponification is one of the simple and inexpensive processes have been used to identify the adulteration in edible oil. The saponification takes a long time, higher temperature and the isolation of unsaponifiable from saponifiable is tedious. In the present research, the enriched saponification process has been developed using ultrasonication technique instead of a common conventional method. The process has been significantly reduced to ten minutes. The special solid phase extraction (SPE) cartridge has been designed and prepared to separate the unsaponifiable. The combined FT-IR with chemometrics based on the isolated unsaponifiable was first used to authenticate sesame oil. The partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) was employed to establish the models to identify the adulteration detection and authentication of sesame oil. The results indicated that the OPLS-DA is better than PLS-DA, which was chosen for the authentication of sesame oil. The prediction of samples was accurate by the constructed model. The results suggested that the combined FT-IR spectroscopy with chemometrics based on isolated unsaponifiable could be used for authentication of sesame oil.
基金资助: the Key Project of Fujian Province (2017Y4013) , Scientific Research Project of Minjiang University (MYK18007) and James and Susan He Foundation
通讯作者:
何文绚
E-mail: 706828346@qq.com
作者简介: HE Wen-xuan,female, (1962—),professor, Minjiang University e-mail:
706828346@qq.com
引用本文:
何文绚,林 棋. 基于高效分离不皂化物的傅里叶红外光谱结合化学计量学鉴定芝麻油[J]. 光谱学与光谱分析, 2021, 41(01): 319-326.
HE Wen-xuan, LIN Qi. Efficient Saponification and Separation of Unsaponifiables for Authentication of Sesame Oil Using FT-IR Spectroscopy and Chemometrics. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 319-326.
[1] Bedigian D. Econ. Bo., 2004, 58: 329.
[2] Anilakumar K R, Pal A, Khanum F, et al. Agric. Conspec. Sci.,2010, 75:159.
[3] Faostat, 2017, Crops/World Regions/Production Quantity from Pick Lists. UN Food and Agriculture Organization Corporate Statistical Database Retrieved 9 September 2018.
[4] Ruslan K, Happyniar S, Fidrianny I. J. Taibah. Univ. Sci., 2018, 13: 211.
[5] Lin X, Zhou L, Li T, et al. RSC. Adv., 2017, 7: 5751.
[6] Nigam D, Singh C, Tiwari U. J. Pharmacogn. Phytochem., 2015, 3: 88.
[7] Zhao X, Dong D, Zheng W, et al. Food Anal. Method, 2015, 8: 2308.
[8] Rizki H, Terouzi W, Kzaiber F, et al. J. Environ. Sci. Toxicol. Food Technol., 2016, 10: 138.
[9] Fadzlillah N A, Che Man Y B, Rohman A. Int. J. Food Prop., 2014, 17: 1275.
[10] Chen H, Lin Z, Tan C. Vib. Spectrosc., 2018, 99: 178.
[11] Zhang Q, Zhang L, Huang X, et al. Chemometr Intell Lab,2017, 161:147.
[12] Peng D, Bi Y, Ren X, et al. Food Chem.,2015, 188:415.
[13] Yadav S. Int. J. Chem. Stud.,2018, 6:1393.
[14] Hong E, Lee S Y, Jeong J Y, et al. J. Sci. Food Agric.,2017, 97:3877.
[15] Zhu W, Wang X, Chen L. Food Chem., 2017, 216: 268.
[16] Jabeur H, Zribi A, Bouaziz M. Food. Anal. Method, 2016, 9: 712.
[17] Zhang L, Li P, Sun X, et al. J. Agr. Food Chem.,2014, 62:8745.
[18] García M J L. Springer Heidelberg, New York Dordrecht London, 2012.
[19] Huang R, Li Y, He X, et al. Spectroscopy and Spectral Analysis,2020, 40(6):1852.
[20] Medina V S, Capote P F, Castro M D L. Eur. J. Lipid. Sci. Technol., 2013, 115: 1325.
[21] Obana H, Okihashi M, Akutsu K, et al. Shokuhin Eiseigaku Zasshi,2001, 42:148.
[22] Al-asheh S, Banat F, Al-lagtah N. Chem. Eng. Res. Des., 2004, 82:855.