Research progress of near-infrared spectroscopy and imaging detection for adulteration and quality evaluation of woody oil products

  • YUAN Weidong ,
  • JIANG Hongzhe ,
  • JU Hao ,
  • LI Xingpeng ,
  • ZHOU Hongping
Expand
  • (College of Mechanical and Electronic Engineering,Nanjing Forestry University,Nanjing 210037,China)

Received date: 2022-03-07

  Revised date: 2022-04-18

  Online published: 2023-02-15

Abstract

Woody oil products are rich in nutrients such as fatty acids, phytosterols, tocopherols, and squalene, which are deeply loved by consumers. Their consumption has become a new trend in my country. In recent years, unscrupulous merchants have made woody oil products adulterated and shoddy to seek profits. Therefore, a fast, efficient, and accurate non-destructive testing technology is urgently needed for the identification and evaluation of woody oil products. Near-infrared spectroscopy and hyperspectral imaging technology have the advantages of rapidity, high efficiency, and non-destructiveness. At present, they have been widely studied by scholars at home and abroad in the field of food and agricultural product quality and safety inspection, and they have shown great potential in the application of non-destructive testing in the future. This review briefly described the basic principles of near-infrared spectroscopy and hyperspectral imaging technology and the related spectral data processing and analysis methods. Finally, the development trend of near-infrared spectroscopy and imaging technology in the detection of woody oil products prospectedto provide a reference for researchers and related supervisory departments engaged in non-destructive testing of food and agricultural products.

Cite this article

YUAN Weidong , JIANG Hongzhe , JU Hao , LI Xingpeng , ZHOU Hongping . Research progress of near-infrared spectroscopy and imaging detection for adulteration and quality evaluation of woody oil products[J]. Food and Fermentation Industries, 2023 , 49(2) : 307 -315 . DOI: 10.13995/j.cnki.11-1802/ts.031433

References

[1] 王瑞元.我国粮油加工业在“十三五”期间的发展情况[J].中国油脂,2022,47(3):1-4.
WANG R Y.China′s grain and oil processing industry in the “Thirteenth Five-Year Plan” period of development[J].China Oils and Fats, 2022,47(3):1-4.
[2] 鹿呦.木本油料为粮油供给系上“安全带”[J].中国林业产业, 2019(7):1-2.
LU Y.Wooden oil for grain and oil supply system ‘safety belt’[J].China Forestry Industry, 2019(7):1-2.
[3] YANG R N, ZHANG L, LI P, et al.A review of chemical composition and nutritional properties of minor vegetable oils in China[J].Trends in Food Science & Technology, 2018, 74:26-32.
[4] MERCHAK N, RIZK T, SILVESTRE V, et al.Olive oil characterization and classification by 13C nmr with a polarization transfer technique:A comparison with gas chromatography and 1h NMR[J].Food Chemistry, 2018, 245:717-723.
[5] BAJOUB A, PACCHIAROTTA T, HURTADO-FERNÁNDEZ E, et al.Comparing two metabolic profiling approaches (liquid chromatography and gas chromatography coupled to mass spectrometry) for extra-virgin olive oil phenolic compounds analysis:A botanical classification perspective[J].Journal of Chromatography A, 2016, 1428:267-279.
[6] ZHU W R, WANG X, CHEN L.Rapid detection of peanut oil adulteration using low-field nuclear magnetic resonance and chemometrics[J].Food Chemistry, 2017, 216:268–274.
[7] 王多加, 周向阳, 金同铭, 等.近红外光谱检测技术在农业和食品分析上的应用[J].光谱学与光谱分析, 2004,24(4):447-450.
WANG D J, ZHOU X Y, JIN T M, et al.Application of near-infrared spectroscopy to agriculture and food analysis[J].Spectroscopy and Spectral Analysis, 2004, 24(4):447-450.
[8] 胡逸磊, 姜洪喆, 周宏平, 等.高光谱成像技术检测油茶果成熟度[J].食品科学,2022,43(16):324-331.
HU Y L, JIANG H Z, ZHOU H P, et al.Maturity detection of Camellia oleifera by hyperspectral imaging[J].Food Science,2022,43(16):324-331.
[9] 陈嘉, 高丽, 叶发银, 等.基于近红外光谱与支持向量机的甘薯粉丝掺假快速检测[J].食品与发酵工业, 2019, 45(11):211-218.
CHEN J, GAO L, YE F Y, et al.Rapid detection of adulterated sweet potato starch noodle by near-infrared spectroscopy and support vector machine[J].Food and Fermentation Industries, 2019, 45(11):211-218.
[10] 张仲源, 刘静, 管骁, 等.近红外光谱分析技术在食品检测中的应用研究进展[J].食品与发酵工业, 2011, 37(11):159-165.
ZHANG Z Y, LIU J, GUAN X, et al.Research progress of application of near infrared spectroscopy in food analysis[J].Food and Fermentation Industries, 2011, 37(11):159-165.
[11] 张建新, 李慧.傅立叶变换近红外光谱法测定豆腐干中总酸、蛋白质和水分含量[J].食品与发酵工业, 2008,34(1):124-128.
ZHANG J X, LI H.Determination of total acids, protein and moisture content of bean-curd cakes with Fourier transform near-infrared spectroscopy(FT-NIS)[J].Food and Fermentation Industries, 2008, 34(1):124-128.
[12] CAPORASO N, WHITWORTH M B, FISK I D.Near-infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains[J].Applied Spectroscopy Reviews, 2018, 53(8):667-687.
[13] BOSOON P, 卢仁富.食品和农业中的高光谱成像技术[M].北京:科学出版社, 2020.
BOSOON P, LU R F.Hyperspectral Imaging Technology in Food and Agriculture[M].Beijing:Science Press, 2020.
[14] ELMASRY G, KAMRUZZAMAN M, SUN D-W, et al.Principles and applications of hyperspectral imaging in quality evaluation of agro-food products:A review[J].Critical Reviews in Food Science and Nutrition, 2012, 52(11):999-1023.
[15] QIN J W, CHAO K, KIM M S, et al.Hyperspectral and multispectral imaging for evaluating food safety and quality[J].Journal of Food Engineering, 2013, 118(2):157-171.
[16] MEHL P M, CHEN Y-R, KIM M S, et al.Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations[J].Journal of Food Engineering, 2004, 61(1):67-81.
[17] 于宏威, 王强, 刘丽, 等.粮油品质安全高光谱成像检测技术的研究进展[J].光谱学与光谱分析, 2016, 36(11):3643-3650.
YU H W, WANG Q, LIU L, et al.Research process on hyperspectral imaging detection technology for the quality and safety of grain and oils[J].Spectroscopy and Spectral Analysis, 2016, 36(11):3 643-3 650.
[18] REICH G.Near-infrared spectroscopy and imaging:Basic principles and pharmaceutical applications[J].Advanced Drug Delivery Reviews, 2005, 57(8):1 109-1 143.
[19] LUYPAERT J, HEUERDING S, HEYDEN Y V, et al.The effect of preprocessing methods in reducing interfering variability from near-infrared measurements of creams[J].Journal of Pharmaceutical and Biomedical Analysis, 2004, 36(3):495-503.
[20] NICOLAÏ B M, BEULLENS K, BOBELYN E, et al.Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy:A review[J].Postharvest Biology and Technology, 2007, 46(2):99-118.
[21] VIDAL M, AMIGO J M.Pre-processing of hyperspectral images.Rssential steps before image analysis[J].Chemometrics and Intelligent Laboratory Systems, 2012, 117:138-148.
[22] WANG B, SUN J F, XIA L M, et al.The applications of hyperspectral imaging technology for agricultural products quality analysis:A review[J].Food Reviews International, 2021(3):1-20.
[23] 周宏平, 胡逸磊, 姜洪喆, 等.基于高光谱成像的油茶籽含油率检测方法[J].农业机械学报, 2021, 52(5):308-315.
ZHOU H P, HU Y L, JIANG H Z, et al.Detection method of oil content of Camellia oleifera seed based on hyperspectral imaging[J].Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(5):308-315.
[24] MARTÍNEZ GILA D M, CANO MARCHAL P, GÁMEZ GARCÍA J, et al.On-line system based on hyperspectral information to estimate acidity, moisture and peroxides in olive oil samples[J].Computers and Electronics in Agriculture, 2015, 116:1-7.
[25] 冯艳春, 张琪, 胡昌勤.药品近红外光谱通用性定量模型评价参数的选择[J].光谱学与光谱分析, 2016, 36(8):2447-2454.
FENG Y C, ZHANG Q, HU C Q.Study on the selection of parameters for evaluating drug NIR universal quantitative models[J].Spectroscopy and Spectral Analysis, 2016, 36(8):2 447-2 454.
[26] 万毅, 张玉, 杨华, 等.基于近红外光谱的橄榄油理化指标快速检测模型研究[J].食品工业科技, 2017, 38(21):257-262, 267.
WAN Y, ZHANG Y, YANG H, et al.Study on rapid detection model of physical and chemical indexes of olive oil based on near infrared spectroscopy[J].Science and Technology of Food Industry, 2017, 38(21):257-262, 267.
[27] 孙通, 胡田, 许文丽, 等.基于UVE-ga变量优选的山茶油可见/近红外光谱掺假鉴别[J].中国油脂, 2013, 38(10):75-79.
SUN T, HU T, XU W L, et al.Adulteration discrimination of oil-tea Camellia seed oil by Vis/NIR spectra and UVE-GA method[J].China Oils and Fats, 2013, 38(10):75-79.
[28] 翁欣欣, 陆峰, 王传现, 等.近红外光谱-bp神经网络-pls法用于橄榄油掺杂分析[J].光谱学与光谱分析, 2009, 29(12):3283-3287.
WENG X X, LU F, WANG C X, et al.Discriminating and quantifying potential adulteration in virgin olive oil by near infrared spectroscopy with BP-ANN and PLS[J].Spectroscopy and Spectral Analysis, 2009, 29(12):3 283-3 287.
[29] 褚璇, 王伟, 赵昕, 等.近红外光谱和特征光谱的山茶油掺假鉴别方法研究[J].光谱学与光谱分析, 2017, 37(1):75-79.
CHU X, WANG W, ZHAO X, et al.Detection of Camellia oleifera oil adulterated with sunflower oil with near infrared (NIR)spectroscopy and characteristic spectra[J].Spectroscopy and Spectral Analysis, 2017, 37(1):75-79.
[30] 张菊华, 朱向荣, 苏东林, 等.茶油品质鉴别的透射和透反射模式分析比较[J].食品与机械, 2012, 28(1):101-104, 218.
ZHANG J H, ZHU X R, SU D L, et al.Comparison of transreflection and transmission mode to identify Camellia oils[J].Food & Machinery, 2012, 28(1):101-104, 218.
[31] WANG L, LEE F S C, WANG X, et al.Feasibility study of quantifying and discriminating soybean oil adulteration in Camellia oils by attenuated total reflectance MIR and fiber optic diffuse reflectance NIR[J].Food Chemistry, 2006, 95(3):529-536.
[32] 王传现, 褚庆华, 倪昕路, 等.近红外光谱法用于橄榄油的快速无损鉴别[J].食品科学, 2010, 31(24):402-404.
WANG C X, CHU Q H, NI X L, et al.Nondestructive identification of olive oil by near infrared spectroscopy[J].Food Science, 2010, 31(24):402-404.
[33] 温珍才, 孙通, 许朋, 等.可见/近红外联合变量优选检测油茶籽油掺假[J].江苏大学学报(自然科学版), 2015, 36(6):673-678.
WEN Z C, SUN T, XU P, et al.Adulteration detection of Camellia oils by Vis/NIR spectroscopy and variable selection method[J].Journal of Jiangsu University (Natural Science Edition), 2015, 36(6):673-678.
[34] YUAN J-J, WANG C-Z, CHEN H-X, et al.Identification and detection of adulterated Camellia oleifera Abel.oils by near infrared transmittance spectroscopy[J].International Journal of Food Properties, 2016, 19(2):300-313.
[35] 莫欣欣, 周莹, 孙通, 等.可见/近红外光谱的油茶籽油三元体系掺假检测模型优化[J].光谱学与光谱分析, 2016, 36(12):3881-3884.
MO X X, ZHOU Y, SUN T, et al.Model optimization of ternary system adulteration detection in Camellia oil based on visible/near infrared spectroscopy[J].Spectroscopy and Spectral Analysis, 2016, 36(12):3 881-3 884.
[36] 彭星星, 陈文敏, 乔茜华, 等.近红外光谱技术鉴别核桃油中掺入菜籽油、大豆油及玉米油的研究[J].中国粮油学报, 2015, 30(12):106-113.
PENG X X, CHEN W M, QIAO X H, et al.Quantitative determination of walnut oil adulteration with rapeseed oil, soybean oil and corn oil by near infrared spectroscopy[J].Journal of the Chinese Cereals and Oils Association, 2015, 30(12):106-113.
[37] 郭文川, 朱德宽, 张乾, 等.基于近红外光谱的掺伪油茶籽油检测[J].农业机械学报, 2020, 51(9):350-357.
GUO W C, ZHU D K, ZHANG Q, et al.Detection on adulterated oil-tea Camellia seed oil based on near-infrared spectroscopy[J].Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(9):350-357.
[38] 庄小丽, 相玉红, 强洪, 等.近红外光谱和化学计量学方法用于橄榄油品质分析与掺杂量检测[J].光谱学与光谱分析, 2010, 30(4):933-936.
ZHUANG X L, XIANG Y H, QIANG H, et al.Quality analysis of olive oil and quantification detection of adulteration in olive oil by near-infrared spectrometry and chemometrics[J].Spectroscopy and Spectral Analysis, 2010, 30(4):933-936.
[39] LI S F, ZHU X R, ZHANG J H, 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.
[40] 原姣姣, 王成章, 陈虹霞.近红外透射光谱分析油茶籽油掺入豆油的研究[J].中国粮油学报, 2012, 27(3):110-114.
YUAN J J, WANG C Z, CHEN H X.Study on the quantitative analysis of Camellia oil adulterated with soybean oil by near infrared transmittance spectroscopy(NITS)[J].Journal of the Chinese Cereals and Oils Association, 2012, 27(3):110-114.
[41] 孙通, 吴宜青, 李晓珍, 等.基于近红外光谱和子窗口重排分析的山茶油掺假检测[J].光学学报, 2015, 35(6):350-357.
SUN T, WU Y Q, LI X Z, et al.Discrimination of Camellia oil adulteration by NIR spectra and subwindow permutation analysis[J].Acta Optica Sinica, 2015, 35(6):350-357.
[42] 姜洪喆, 蒋雪松, 杨一, 等.肉类掺杂掺假的高光谱成像检测研究进展[J].食品与发酵工业, 2021, 47(6):300-305.
JIANG H Z, JIANG X S, YANG Y, et al.The progress of the detection of meats adulteration using hyperspectral imaging[J].Food and Fermentation Industries, 2021, 47(6):300-305.
[43] 韩建勋, 孙瑞雪, 陈颖, 等.傅里叶变换红外光谱结合化学计量学用于山茶油中掺杂大豆油的鉴别[J].食品与发酵工业, 2019, 45(18):222-227.
HAN J X, SUN R X, CHEN Y, et al.Discrimination of soya bean oil in adulterated Camellia oil by FTIR spectroscopy combined with chemometrics[J].Food and Fermentation Industries, 2019, 45(18):222-227.
[44] 许朋. 基于近红外光谱技术的山茶油掺假检测研究[D].南昌:江西农业大学, 2015.
XU P.Inspection of camellia oil adulteration based on near infrared spectroscopy[D].Nanchang:Jiangxi Agricultural University,2015.
[45] 贡东军, 王宇, 董静, 等.基于近红外光谱的橄榄油中玉米油掺杂量检测[J].食品工业科技, 2014, 35(4):57-59, 65.
GONG D J, WANG Y, DONG J, et al.Adulteration detection of corn oil in olive oil based on near-infrared spectroscopy[J].Science and Technology of Food Industry, 2014, 35(4):57-59, 65.
[46] 郝勇, 吴文辉, 商庆园, 等.山茶油中油酸和亚油酸近红外光谱分析模型[J].光学学报, 2019, 39(9):381-386.
HAO Y, WU W H, SHANG Q Y, et al.Analysis model of oleic and linoleic acids in Camellia oil via near-infrared spectroscopy[J].Acta Optica Sinica, 2019, 39(9):381-386.
[47] 蒋琦, 张玉, 杨华, 等.基于近红外光谱法的山茶籽油理化指标快速检测[J].浙江农业学报, 2017, 29(11):1 897-1 902.
JIANG Q, ZHANG Y, YANG H, et al.Rapid determination of physical and chemical indicators in Camellia oil based on near infrared spectrum analysis[J].Acta Agriculturae Zhejiangensis, 2017, 29(11):1 897-1 902.
[48] 张菊华, 朱向荣, 尚雪波, 等.近红外光谱法结合化学计量学测定油茶籽油中脂肪酸组成[J].食品科学, 2011, 32(18):205-208.
ZHANG J H, ZHU X R, SHANG X B, et al.Analysis of fatty acid profile of Camellia oil by near-infrared spectroscopy and chemometrics[J].Food Science, 2011, 32(18):205-208.
[49] 张菊华, 卞建明, 朱向荣, 等.近红外光谱结合化学计量学法在油茶籽油脂肪酸含量测定中的应用[J].湖南农业科学, 2013(12):30-32.
ZHANG J H, BIAN J M, ZHU X R, et al.Application of near infrared spectroscopy combined with chemometrics in determination of fatty acid content in Camellia seed oil[J].Hunan Agricultural Sciences, 2013(12):30-32.
[50] ARMENTA S, GARRIGUES S, DE LA GUARDIA M.Determination of edible oil parameters by near infrared spectrometry[J].Analytica Chimica Acta, 2007, 596(2):330-337.
[51] NOGALES-BUENO J, BACA-BOCANEGRA B, HERNÁNDEZ-HIERRO J M, et al.Assessment of total fat and fatty acids in walnuts using near-infrared hyperspectral imaging[J].Frontiers in Plant Science, 2021, 12:729880.
[52] 廖敦军. 基于高光谱的油茶籽内部品质检测方法研究[D].长沙:湖南农业大学, 2013.
LIAO D J.Studies on the test method of Camellia oleifera seed quality inspection based on hyperspectral[D].Changsha:Hunan Agricultural University,2013.
Outlines

/