Research on differential scanning calorimetry adulteration analysis method based on two different characteristics of extra virgin olive oil

  • WEI Yan ,
  • SONG Zhiqiang ,
  • WU Weidong
Expand
  • 1(School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
    2(University of Shanghai for Science and Technology, National Demonstration Center for Experimental Energy Power Engineering Education, Shanghai 200093, China)

Received date: 2022-12-19

  Revised date: 2023-02-21

  Online published: 2024-01-31

Abstract

This paper presented a comprehensive study of soybean oil adulteration in extra virgin olive oil (EVOO) commonly consumed commercially based on two aspects of edible oil physical characteristics and oxidative stability using differential scanning calorimetry (DSC). In terms of physical characteristics, DSC cooling curves were selected to analyze EVOO adulteration. As the adulteration ratio of soybean oil increased, the enthalpy value ΔH of crystallization of the oil sample decreased from 29.78 J/g for EVOO to 6.133 J/g for 40% adulterated mixed oil between -40 ℃ and -60 ℃ (Y=57.556X-28.44, R2=0.997). In terms of oxidative stability, the oxidative induction time with the oxidation temperature of 160 ℃ gradually decreased from 25.8 min for EVOO to 17.8 min for 40% adulterated mixed oil (Y=-19.4X+25.64, R2=0.996), the established adulteration model also correlated well. Both of these methods using DSC to examine adulteration could effectively identify the adulteration of soybean oil in EVOO with various characteristics, which could select a suitable method to better deal with the problem of EVOO adulteration according to different practical situations.

Cite this article

WEI Yan , SONG Zhiqiang , WU Weidong . Research on differential scanning calorimetry adulteration analysis method based on two different characteristics of extra virgin olive oil[J]. Food and Fermentation Industries, 2024 , 50(1) : 183 -188 . DOI: 10.13995/j.cnki.11-1802/ts.034628

References

[1] MARZOCCHI S, CABONI M F, PASINI F.Co-milling process of olives and oleaginous matrices with high nutritional value:A preliminary characterisation of the obtained oils[J].International Journal of Food Sciences and Nutrition, 2022, 73(8):1057-1066.
[2] 杨雯懿, 陈林, 周学忠.基于主成分分析和聚类分析的橄榄油中微量元素的统计比较[J].食品与发酵工业, 2020, 46(14):222-227.
YANG W Y, CHEN L, ZHOU X Z.Statistical comparison of trace elements in olive oil based on principal component analysis and cluster analysis[J].Food and Fermentation Industries, 2020, 46(14):222-227.
[3] YAN J, VAN STUIJVENBERG L, RUTH S.Handheld near-infrared spectroscopy for distinction of extra virgin olive oil from other olive oil grades substantiated by compositional data[J].European Journal of Lipid Science and Technology, 2019, 121(12):1900031.
[4] 宋聚国. 世界及中国橄榄油产业发展分析[J].世界农业, 2015(10):114-117.
SONG J G.Analysis on the development of olive oil industry in the world and China[J].World Agriculture, 2015(10):114-117.
[5] SIANO F, VASCA E.GC-FID analysis to evaluate the possible adulteration of extra virgin olive oil with different vegetable oils[J].Journal of Chemical Education, 2020, 97(11):4108-4116.
[6] 邱玲. 中国食用植物油贸易竞争力研究[D].哈尔滨:东北农业大学, 2017.
QIU L.Study on trade competitiveness of edible vegetable oil in China[D].Harbin:Northeast Agricultural University, 2017.
[7] 孔令琦, 宋佳琪, 陈林林, 等.食用油掺伪鉴别技术及模型建立的研究进展[J].食品安全质量检测学报, 2022, 13(19):6132-6139.
KONG L Q, SONG J Q, CHEN L L, et al.Research progress on identification technology and model establishment of edible oil adulteration[J].Journal of Food Safety & Quality, 2022, 13(19):6132-6139.
[8] 周盛敏, 姜元荣.橄榄油掺伪检测研究进展[J].粮食科技与经济, 2020, 45(4):93-96.
ZHOU S M, JIANG Y R.Research progress on adulteration detection of olive oil[J].Food Science and Technology and Economy, 2020, 45(4):93-96.
[9] 刘美艳, 宋会歌, 陈海桂, 等.红外光谱技术在地理标志食品检验中的应用[J].食品与发酵工业, 2011, 37(2):134-138.
LIU M Y, SONG H G, CHEN H G, et al.Application of the infrared spectroscopy technique in geographical indication food inspection[J].Food and Fermentation Industries, 2011, 37(2):134-138.
[10] ZAREZADEH M R, ABOONAJMI M, VARNAMKHASTI M G, et al.Olive oil classification and fraud detection using E-nose and ultrasonic system[J].Food Analytical Methods, 2021, 14(10):2199-2210.
[11] HUANG J Y, NORGBEY E, NKRUMAH P N, et al.Detection of corn oil in adulterated olive and soybean oil by carbon stable isotope analysis[J].Journal of Consumer Protection and Food Safety, 2017, 12(3):201-208.
[12] DANKOWSKA A, MAŁECKA M.Application of synchronous fluorescence spectroscopy for determination of extra virgin olive oil adulteration[J].European Journal of Lipid Science and Technology, 2009, 111(12):1233-1239.
[13] VAN WETTEN I A, VAN HERWAARDEN A W, SPLINTER R, et al.Oil analysis by fast DSC[J].Procedia Engineering, 2014, 87:280-283.
[14] TOMASZEWSKA-GRAS J.DSC coupled with PCA as a tool for butter authenticity assessment[J].Journal of Thermal Analysis and Calorimetry, 2016, 126(1):61-68.
[15] 张春华, 惠菊, 王翔宇, 等.差示扫描量热法和热重法评估植物油氧化稳定性的研究进展[J].粮食与油脂, 2021, 34(10):8-11.
ZHANG C H, HUI J, WANG X Y, et al.Research development of oxidative stability evaluation of vegetable oil by DSC & TG methods[J].Cereals & Oils, 2021, 34(10):8-11.
[16] LI R F, HUANG J L, 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, 126:1735-1746.
[17] 赵瑾, 邹涛, 陈宇迪, 等.DSC方法在特级初榨橄榄油掺假鉴别中的应用[J].分析测试学报, 2017, 36(5):655-659.
ZHAO J, ZOU T, CHEN Y D, et al.Application of differential scanning calorimetry (DSC) in identification of the adulterated extra virgin olive oils[J].Journal of Instrumental Analysis, 2017, 36(5):655-659.
[18] 刘娟, 宋亚蕊, 唐维龙, 等.富硒茶油的抗氧化活性成分分析及氧化稳定性探究[J].食品与发酵工业, 2014, 40(4):82-86.
LIU J, SONG Y R, TANG W L, et al.Antioxidant activity components analysis and oxidation stability of Se-enriched camellia oil[J].Food and Fermentation Industries, 2014, 40(4):82-86.
[19] 邵薇, 张婷婷, 邹涛, 等.基于差示扫描量热法的大豆原油掺伪鉴别方法的建立[J].食品安全质量检测学报, 2015, 6(7):2746-2750.
SHAO W, ZHANG T T, ZOU T, et al.Detection of adulteration in crude soybean oil by using differential scanning calorimetry[J].Journal of Food Safety & Quality, 2015, 6(7):2746-2750.
[20] MARBELLO O D, VALBUENA S, RACEDO F J.Study of the nonlinear optical response and thermal stability of edible oils using the Z-scan technique[J].Talanta, 2020, 206:120226.
[21] 方冰, 朱宁科, 王瑛瑶, 等.大豆油和菜籽油中游离脂肪酸与烟点的数学关系研究[J].中国粮油学报, 2016, 31(10):56-59;65.
FANG B, ZHU N K, WANG Y Y, et al.Establishment of the mathematical model between free fatty acid and smoke point in soybean oil and rapeseed oil[J].Journal of the Chinese Cereals and Oils Association, 2016, 31(10):56-59;65.
[22] MANSOR T S T, CHE MAN Y B, SHUHAIMI M.Employment of differential scanning calorimetry in detecting lard adulteration in virgin coconut oil[J].Journal of the American Oil Chemists’ Society, 2012, 89(3):485-496.
[23] 纪佳璐, 吴莹, 徐斐然, 等.马泡瓜籽油理化特性、组成分析及氧化稳定性[J].食品科学, 2020, 41(21):15-21.
JI J L, WU Y, XU F R, et al.Physicochemical characteristics, composition and oxidative stability of Cucumis bisexualis seed oil[J].Food Science, 2020, 41(21):15-21.
[24] ALONSO-SALCES R M, GALLO B, COLLADO M I, et al.1H-NMR fingerprinting and supervised pattern recognition to evaluate the stability of virgin olive oil during storage[J].Food Control, 2021, 123:107831.
[25] 杨国燕. DSC和Rancimat法测定亚麻籽油氧化稳定性研究[J].粮食与油脂, 2014, 27(8):29-32.
YANG G Y.Study on oxidation stability of flax seed oil by DSC and Rancimat method[J].Cereals & Oils, 2014, 27(8):29-32.
Outlines

/