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1 5 9 Vol. 5 No Journal of Food Safety and Quality Sep., 2014 孙淑敏 *, 谢岩黎, 张严 (, ) 摘要 :,,,,,,,,,,, 关键词 : ; ; ; ; ; Research progress on authentication methods for edible oils adulteration SUN Shu-Min *, XIE Yan-Li, ZHANG Yan (College of Food Science and Technology, Henan University of Technology, Zhengzhou , China) ABSTRACT: As an important part of people's diet structure, as well as the important basic raw material of food industry, the quality and safety of edible oil have an important influence on people s health. Now the edible oil market is quite disordered, with diverse and complex adulteration phenomenon emerging frequently, which made oil adulteration become a technical problem in the field of oil security monitoring. Therefore, a set of scientific and effective methods for edible oil adulteration identification need to be established, to protect consumers health, to ensure food safety, and to strengthen the supervision power of government. This paper mainly reviewed the latest research progress and existing problems of modern analytic technologies including gas or liquid chromatography, infrared/near infrared spectrum, raman spectrum spectroscopy, nuclear magnetic resonance method as well as electronic nose technology for edible oil adulteration detection, as well as to prospect the future research, aiming at supplying a detailed way for edible oil adulteration identification. KEY WORDS: edible oil; adulteration identification; chromatography; spectroscopy; nuclear magnetic resonance; electronic nose 基金项目 : ( ) (2013BS030) Fund: Supported by Scientific and Technological Project of Henan ( ) and College Scientific Research Fund of Henan University of Technology (2013BS030) * 通讯作者 :,,, xianyun730@163.com *Corresponding author: SUN Shu-Min, Ph.D, Lecture, School of Food Science and Technology, Henan University of Technology, 1# Lianhua Rd, High-tech Industrial Development Zone, Zhengzhou , China. xianyun730@163.com

2 引言,,,,,,,,,,,,, 2 色谱技术, [1-3] -, Hajimahmoodi [4], 10% Miloudi [5] [6,7], [8], 20%, 10% [9], (0%~5%),,, Marikkar [10], [11], 90%, Huo [12],,, [13],,, Tu [14] (gas chromatography-mass spectrometry, GC-MS) [15] GC-MS,, 5% [16] -GC-MS, 5% [17] -, 100.0%,,,,,,,,,,,, [18] 3 光谱法,,,,,, 3.1 红外光谱法,,, [19] (C H O H N H S H C=C C=O) [20], C H O H C=O C=C CH 2 C=C,,

3 9, : 2625 (PLS ),, [21], [22-24], [25,26] [27], 100%, 20% [28] (0%~50%),,,, [29-31], [32] (FTIR) (SIMCA), 100% FTIR (PLS), 10% [33] [34] 10%, GC-MS,,,,,,,,,,,,,,, [35],,,,,, [36] 3.2 拉曼光谱法,,,,,,, [37] Baeten [38], 1%, 5% 10% [39] [40] (PLS) [41] (LS-SVM), 5%,,,, [42],,, 4 核磁共振法 (NMR),,,,,, [43,44] Zamora [45] 13 C NMR, 97.1% [46] [47] 3 ( ) 10 0,,, 1%,,,,, 5 电子鼻技术,,,,, [48], [49] (PCA) (LDA) [50] -

4 2626 5,,,,,,,,,,,, [51] 6 展望,,,,,,,,,,, 参考文献 [1],,,. HPLC [J]., 2011, 36(5): Zhu TH, Fan L, Qian XM, et al. A review of analyzing triacylglycerols profiling in plant oils based on HPLC analysis[j]. China Oils Fats, 2011, 36(5): [2]. [D]. :, Wang MQ. Edible oil GC fingerprint identification technology and its application[d]. Beijing: Chinese Academy of Agricultural Sciences, [3],,,. [J]., 2009,30(22): Guo T, Du LL, Wan H, et al. Identification of hogwash oil-adulterated rapeseed oil through HPLC detection of cholesterol content[j]. Food Sci, 2009, 30(22): [4] Hajimahmoodi M, Vander HY, Sadeghi N, et al. Gas-chromatographic fatty-acid fingerprints and partial least squares modeling as a basis for the simultaneous determination of edible oil mixtures[j]. Talanta, 2005, 3 (66): [5] Miloudi H, Zoubida C, Larbi H, et al. Detection of argan oil adulteration using quantitative campesterol GC analysis[j]. J Am Oil Chem Soc, 2007, 84(8): [6]. [J]., 2006, 35(6): Lin LM. Research on the adulteration of sesame oil by gas chromatography[j]. Grain Stor, 2006, 35(6): [7],,,. [J]., 2012, 17: Ren XN, Bi YL, Yang GL, et al. Research on identification methods of sesame oil adulterated with palm oils[j]. Sci Technol Food Ind, 2012, 17: [8],. [J]., 2006, (1): Lan QF, Liang M. Research on the adulteration of edible oil by gas chromatography[j]. Forensic Sci Technol, 2006, (1): [9]. [J]., 2011, 32(7): Zhang HR. The study of peanut oil adulterated with soybean oil by gas chromatography[j]. Food Res Dev, 2011, 32(7): [10] Marikkar JMN, Ghazali HM, Che Man YB, et al. Distinguishing lard from other animal fats in admixtures of some vegetable oils using liquid chromatographic data coupled with multivariate data analysis[j]. Food Chem, 2005, 91(1): [11]. [D]. :, Li QG. Study on discrimination of illegal cooking oil and edible oil[d]. Changsha: Centre Southern University, [12] Huo QG, Jin XB, Zhang HM. Multi-label classification for oil authentication[c]. FSKD 2012: Proceeding of the 2012 International Conference on Fuzzy System and Knowledge Discovery, [13]. [J]., 2013, 33(11): Chen JB. Oil adulteration detection with multi-label learning vector quantization[j]. J Comput Appl, 2013, 33(11): [14] Tu DW, Li H, Wu Z, et al. Application of headspace solid-phase microextraction and multivariate analysis for thedifferentiation between edible oils and waste cooking oil[j]. Food Anal Methods, 2014, 7(6): [15],,,. GC-MS [J]., 2004, 3: He XQ, Xu DY, Luo MZ, et al. Determination of fatty acids by microwave-assisted derivatization and GC-MS--an adulteration detection method on edible oils with calibration transformation matrix[j]. Mod Sci Instrum, 2004, 3: [16],,,. - [J]., 2012, 11: Yang L, Wu CR, Zhu LJ, et al. Identification of authentic or fake of camellia oil by headspace gas chromatography-mass spectrometry[j]. J Chin Cereals Oils Assoc, 2012, 11: [17],,,. [J]., 2013, 15(5): Mao LS, Zhong QQ, Lu ZY, et al. Detection of limonene in hogwash oil

5 9, : 2627 with gas chromatography-mass spectrometry[j]. China Trop Med, 2013, 15(5): [18],,,. [J]., 2004, 30(8): Qian XM, Li GH, Li MQ, et al. Study on identification mode of edible oil adulteration[j]. China Oils Fats, 2004, 30(8): [19] Reida LM, O Donnell CP, Downey G. Recent technological advances for the determination of food authenticity[j]. Trends Food Sci Technol, 2006, 17, [20],. [J] : Gao RQ, Fan SF. Principles and applications of modern near infrared spectroscopic techniques[j]. Anal Instrum, : [21] Roggo Y, Duponchel L, Huvenne JP. Comparison of supervised pattern recognition methods with McNemar s statistical validation: Application to qualitative analysis 493 of sugar beet by near-infrared spectroscopy[j]. Anal Chim Acta, 2003, 477, [22] woodcock T, Eowney G, O Donnel C. Confirmation of declared provenance of European extra virgin olive oil samples by NIR spectroscopy[j]. J Agric Food Chem, 2008, 56(23): [23] Federico M, Antonio LM, Remo B. Use of different artificial neural networks to resolve binary Blends of monocultivar ltalian olive oils[j]. Anal Chim Acta, 2007, 599(2): [24] Casale M, Casoiino C, Femri G, et al. Near infrared spectroscopy and class modeling techniques for the geographical authentication of Ligurian extra virgin olive oil [J]. J Near Infrared Spectrosc, 2008, 16(1): [25],. [J]., 2012, 43(7): Liu YD, Wan CL. Analysis of sesame oil adulteration using near infrared transmission spectroscopy[j]. Trans Chin Soc Agric Mach, 2012, 43(7): [26],,,. [J]., 2013, 34(20): Li QG, Shan Y, Li GY, et al. Qualitative identification of illegal cooking oil using near infrared spectroscopy[j]. Sci Technol Food Ind, 2013, 34(20): [27],,,. [J]., 2010, 27(1): Li HL, Zhao ZL, Pang YP, et al. Identification of peanut oil and its adulteration component with by near-infrared spectroscopy[j]. J Food saf Qual, 2010, 27(1): [28],,. [J]., 2012, 27(3): Yuan JJ, Wang CZ, Chen HX. Study on the quantitative analysis of camellia oil adulterated with soybean oil by near infrared transmittance spectroscopy(nits)[j]. J Chin Cereals Oils Assoc, 2012, 27(3): [29] Gozde G, Banu O. Detection adulteration of extra virgin olive oil by chemometric anaiysis of mid-infrared spectral data[j]. Food Chem, 2009, 116(2): 519. [30] Rohman A, Che MYB, Farahwahida M. The use of FTIR spectroscopy and chemometrics for rapid authentication of extra virgin olive oil[j]. Am Oil Chem Soc, 2014, 91(2): [31] Rohman A, Che MYB. Application of fourier transform infrared (FT-IR)spectroscopy combined with chemometrics for authentication of cod-oliver oil [J]. Vib Spectrosc, 2011, 55(2): [32],,,. [J]., 2012, 70(8): Liu LL, Wu YW, Zhang X, et al. Application of fourier transform infrared spectroscopy combined with pattern recognition method for rapid authentication of edible oil[j]. Acta Chim Sinica, 2012, 70(8): [33]. [D]. :, Liu LL. Fourier transform infrared spectroscopy for rapid detection of authenticity and adulteration of edible oils[d]. Beijing: Beijing Forestry University, [34],,,. [J]., 2012, 28(6): Xu HY, Cheng L, Wang DF, et al. Identification of recycled cooking oil by FT-IR[J]. Mod Food Sci Technol, 2012, 28(6): [35],,,. [J]., 2011, 32(1): Wang XY, Wang XC, Liu Y, et al. Application of near-infrared spectroscopy in food adulteration detection: A review[j]. Food Sci, 2011, 32(1): [36],,,. [M]. :, Lu WZ, Yuan HF, Xu GT, et al. The modern analysis technique of near infrared reflectance spectroscopy (NIRS) [M]. Beijing: China Petrochemical Press, [37],,,. [J]., 2010, 31(10): Zhang JH, Zhu XR, Shang XB, et al. Review on application of near-infrared spectroscopy, mid-infrared spectroscopy and Raman spectroscopy in analysis of edible oil[j]. Sci Technol Food Ind, 2010, 31(10): [38] Baeten V, Meurens M. Detection of virgin olive oil adulteration by fourier transform Raman spectroscopy [J]. J Agric Food Chem, 2011, 44(8): [39],,,. [J]., 2013, 05: Wang LJ, Wang H, Xie L, et al. Rapid authentication of palm oil in pure peanut oil by Raman spectroscopy[j]. Chin J Oil Crop Sci, 2013, 05: [40],,. [J]., 2012, 9: Liu YD, Wan CL, Cai LJ. Rapid determination of the content of adulteration in edible oil using microscope Raman spectroscopy[j]. J Agric Mech Res, 2012, 9: [41]. [D]. :, Zhou XJ. Qualitative identification and quantitative analysis of edible

2628 5 vegetable oil based on Raman Spectroscopy[D]. Hangzhou: Zhejiang University, 2013. [42],,. [J]., 2007, 28(12): 554 558. Chen J, Xiao KJ, Lin FL.

6 vegetable oil based on Raman Spectroscopy[D]. Hangzhou: Zhejiang University, [42],,. [J]., 2007, 28(12): Chen J, Xiao KJ, Lin FL. Review on Raman Spectroscopy Application in Food Analysis[J].Food Sci, 2007, 28(12): [43] Lu RS, Zhou XL, Wu WP, et al. Development of the miniature NMR apparatus for edible oil quality control[j]. Appl Mag Reson, 2014, 45(5): [44] Rosilene AP, Luiz AC, Lucimara AF, et al. A rapid and automated low resolution NMR method to analyze oil quality in intact oilseeds[j]. Anal Chim Acta, 2007, 596(2): [45] Zamora R, Alba V, Hidalgo FJ. Use of high-resolution 13 C nuclear magnetic resonance spectroscopy for the screening of virgin olive oils[j]. J Am Oil Chem Soc, 2001, 78(1): [46],,,. [C]., Wang YW, Wang X, Liu BL, et al. Discrimination of edible vegetable oil adulterated frying oil by low-field nuclear magnetic resonance[c]. Scientific Instruments Conference Proceedings, [47],,. [J]., 2008, 33(10): Wang L, Li Y, Hu JH. Discrimination of edible vegetable oil adulterated waste cooking oil by nuclear magnetic resonance[j]. China Oils Fats, 2008, 33(10): [48].,,,. [J]., 2013, 38(4): Kalbinur W, Tian XJ, Zhang LP, et al. Application of electronic nose in olive oil[j]. China Oils Fats, 2013, 38(4): [49],,,. [J]., 2010, 31(20): Pan QL, Tang L, Zhan G, et al. Detection of adulteration in sesame oil using electronic nose[j]. Food Sci, 2010, 31(20): [50],,,. [J]., 2013, 38(12): Zhong C, Xie YL, Wang XG, et al. Application of flavor characteristics of virgin olive oil in adulteration detection[j]. China Oils Fats, 2013, 38(12): [51],,,. [J]., 2011, 10: Li YY, Wu YJ, Zhang HL, et al. Progress on the application of electronic nose for edible oil adulteration[j]. China Oils Fats, 2011, 10: 作者简介 ( 责任编辑 : 张宏梁 ) 孙淑敏, 博士, 讲师, 主要研究方向为食品安全与质量控制 xianyun730@163.com

30期

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