The review of agricultural products traceability of origin based on non-destructive testing technology

YAN Jing; XIONG Ya-bo; LIU Ji; LI Yu; QIN Wen

doi:10.13386/j.issn1002-0306.2014.11.079

Issue 11

Turn off MathJax

Article Contents

Abstract

References

Science and Technology of Food Industry > 2014 > (11): 396-400. > DOI: 10.13386/j.issn1002-0306.2014.11.079

YAN Jing, XIONG Ya-bo, LIU Ji, LI Yu, QIN Wen. The review of agricultural products traceability of origin based on non-destructive testing technology[J]. Science and Technology of Food Industry, 2014, (11): 396-400. DOI: 10.13386/j.issn1002-0306.2014.11.079

Citation:

PDF (968 KB)

The review of agricultural products traceability of origin based on non-destructive testing technology

Sichuan Agricultural University

More Information

Received Date: October 14, 2013

Graphical Abstract

Abstract

Abstract

With economic development, more and more problems of food safety, food adulteration fraud phenomenon frequently, to establish a complete food traceability chain and effective means of detection is an assurance for consumers to choose safety food and it also can effectively control food safety accidents.In addition to general traceability technologies, more and more studies tend to use non- destructive testing for food origin traceability.This article reviewed some of the basic principles of traceability technology and application, and it also discussed a fast traceability technology application of non-destructive testing techniques in real life.
- agricultural products,
- origin,
- traceability,
- nondestructive testing

FullText(HTML)

References (50)

References

[1]	曾楚锋, 张丽芬, 徐娟娣, 等.农产品产地溯源技术研究进展[J].食品工业科技, 2013 (6) :367-371.
[2]	邓勋飞, 王开荣, 陈晓佳, 等.基于WebGIS的茶叶产地编码及其质量安全与溯源技术[J].农业工程学报, 2009 (S2) :303-307.
[3]	侯春生, 张学锋, 夏宁, 等.基于信息技术的蜂产品产地编码规则的制定[J].中国农学通报, 2011 (4) :366-369.
[4]	Lawless Harry T, Heymann Hildegarde.食品感官评价原理与技术[M].北京:中国轻工业出版社, 2001.
[5]	Castro-Vázquez L, Díaz-Maroto M C, de Torres C, et al.Effect of geographical origin on the chemical and sensory characteristics of chestnut honeys[J].Food Research International, 2010, 43 (10) :2335-2340.
[6]	Green J A, Parr W V, Breitmeyer J, et al.Sensory and chemical characterisation of Sauvignon blanc wine:Influence of source of origin[J].Food Research International, 2011, 44 (9) :2788-2797.
[7]	Longobardi F, Ventrella A, Casiello G, et al.Characterisation of the geographical origin of Western Greek virgin olive oils based on instrumental and multivariate statistical analysis[J].Food Chemistry, 2012, 133 (1) :169-175.
[8]	Küük M, KolaylS, Karaogˇlu爦, et al.Biological activities and chemical composition of three honeys of different types from Anatolia[J].Food Chemistry, 2007, 100 (2) :526-534.
[9]	Di Cagno R, Banks J, Sheehan L, et al.Comparison of the microbiological, compositional, biochemical, volatile profile and sensory characteristics of three Italian PDO ewes’milk cheeses[J].International Dairy Journal, 2003, 13 (12) :961-972.
[10]	Alonso-Salces R M, Serra F, Reniero F, et al.Botanical and Geographical Characterization of Green Coffee (Coffea arabica and Coffea canephora) :Chemometric Evaluation of Phenolic and Methylxanthine Contents[J].Journal of Agricultural and Food Chemistry, 2009, 57 (10) :4224-4235.
[11]	Stefanoudaki E, Kotsifaki F, Koutsaftakis A.The potential of HPLC triglyceride profiles for the classification of cretan olive oils[J].Food Chemistry, 1997, 60 (3) :425-432.
[12]	陈波, 张巍, 康海宁, 等.茶叶的1H NMR指纹图谱研究[J].波谱学杂志, 2006 (2) :169-180.
[13]	Longobardi F, Ventrella A, Napoli C, et al.Classification of olive oils according to geographical origin by using 1H NMR fingerprinting combined with multivariate analysis[J].Food Chemistry, 2012, 130 (1) :177-183.
[14]	Sun S, Guo B, Wei Y, et al.Classification of geographical origins and prediction ofδ13C andδ15N values of lamb meat by near infrared reflectance spectroscopy[J].Food Chemistry, 2012, 135 (2) :508-514.
[15]	Lin P, Chen Y, He Y.Identification of Geographical Origin of Olive Oil Using Visible and Near-Infrared Spectroscopy Technique Combined with Chemometrics[J].Food and Bioprocess Technology, 2012, 5 (1) :235-242.
[16]	Karoui R, Dufour E, Bosset J O, et al.The use of front face fluorescence spectroscopy to classify the botanical origin of honey samples produced in Switzerland[J].Food Chemistry, 2007, 101 (1) :314-323.
[17]	Karoui R, Dufour E, Schoonheydt R, et al.Characterisation of soft cheese by front face fluorescence spectroscopy coupled with chemometric tools:Effect of the manufacturing process and sampling zone[J].Food Chemistry, 2007, 100 (2) :632-642.
[18]	Tuzen M, Silici S, Mendil D, et al.Trace element levels in honeys from different regions of Turkey[J].Food Chemistry, 2007, 103 (2) :325-330.
[19]	Conde J E, Estevez D, Rodriguez-bencomo J J, et al.Characterization of bottled wines from the Tenerife Island (Spain) by their metal ion concentration[J].Italian Journal of Food Science, 2002, 14 (4) :375-387.
[20]	Iz-Valencia R M, Jurado J M, A S G C, et al.Geographical Differentiation of Green Coffees According to Their Metal Content by Means of Supervised Pattern Recognition Techniques[J].FoodAnalytical Methods, 2013, 6 (5) :1271-1277.
[21]	Yücel Y, Sultano gˇlu P.Characterization of Hatay honeys according to their multi-element analysis using ICP-OES combined with chemometrics[J].Food Chemistry, 2013, 140 (1-2) :231-237.
[22]	Franke B M, Haldimann M, Gremaud G, et al.Element signature analysis:its validation as a tool for geographic authentication of the origin of dried beef and poultry meat[J].European Food Research and Technology, 2008, 227 (3) :701-708.
[23]	Geana I, Iordache A, Ionete R, et al.Geographical origin identification of Romanian wines by ICP-MS elemental analysis[J].Food Chemistry, 2013, 138 (2-3) :1125-1134.
[24]	Croft L R.Stable isotope mass spectrometry in honey analysis[J].TrAC Trends in Analytical Chemistry, 1987, 6 (8) :206-209.
[25]	Renou J, Deponge C, Gachon P, et al.Characterization of animal products according to geographic origin and feeding diet using nuclear magnetic resonance and isotope ratio mass spectrometry:cow milk[J].Food Chemistry, 2004, 85 (1) :63-66.
[26]	Manca G, Franco M A, Versini G, et al.Correlation Between Multielement Stable Isotope Ratio and Geographical Origin in Peretta Cows’Milk Cheese[J].Journal of Dairy Science, 2006, 89 (3) :831-839.
[27]	马冬红, 王锡昌, 刘利平, 等.稳定氢同位素在出口罗非鱼产地溯源中的应用[J].食品与机械, 2012 (1) :5-7.
[28]	Simpkins W A, Patel G, Harrison M, et al.Stable carbon isotope ratio analysis of Australian orange juices[J].Food Chemistry, 2000, 70 (3) :385-390.
[29]	Dubreuil P, Charcosset A.Genetic diversity within and among maize populations:a comparison between isozyme and nuclear RFLP loci[J].Theoretical and Applied Genetics, 1998, 96 (5) :577-587.
[30]	Raspor P, Milek D M, Polanc J, et al.Yeasts isolated from three varieties of grapes cultivated in different locations of the Dolenjska vine-growing region, Slovenia[J].International Journal of Food Microbiology, 2006, 109 (1-2) :97-102.
[31]	张立彬, 胡海根, 计时鸣, 等.果蔬产品品质无损检测技术的研究进展[J].农业工程学报, 2005 (4) :176-180.
[32]	秦文, 陈宗道, 羽仓羲雄, 等.食品的介电特性在食品干燥过程中的在线无损检测技术[J].食品与发酵工业, 2005 (8) :52-56.
[33]	秦文, 张惠, 邓伯勋, 等.部分农产品水分含量与其介电常数关系模型的建立[J].中国食品学报, 2008 (3) :62-67.
[34]	郭文川, 朱新华, 王转卫, 等.基于介电特性的果品种类识别实验[J].农业机械学报, 2005 (7) :158-160.
[35]	胥芳, 张立彬, 计时鸣.介电式水果品质分级机的原理及实现[J].浙江大学学报:农业与生命科学版, 2002 (3) :92-97.
[36]	Nelson S O, Lawrence K C.RF impedance and DC conductance determination of moisture in individual soybeans[J].Transactions of the ASAE, 1994, 37 (1) :179-182.
[37]	Nelson S O, Lawrence K C.RF impedance sensing of mo istur e co nt ent in indiv idual dates[J].Transactions of the ASAE, 1994, 37 (3) :887-891.
[38]	Nelson S O, Lawrence K C.Nondestructive moisture determination in individual pecans by RF impedance measurements[J].Transactions of the ASAE, 1995, 38 (4) :1147-1151.
[39]	郭红利.猕猴桃的电学特性与无损检测技术的研究[D].杨凌:西北农林科技大学, 2004.
[40]	Persaud K, Dodd G.Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose[J].Nature, 1982, 299 (5881) :352-355.
[41]	胡书玉, 黄小龙.鉴别“地理标志”特色农产品检测技术研究进展[J].中国农学通报, 2010 (5) :51-54.
[42]	Cynkar W, Dambergs R, Smith P, et al.Classification of Tempranillo wines according to geographic origin:Combination of mass spectrometry based electronic nose and chemometrics[J].Analytica Chimica Acta, 2010, 660 (1-2) :227-231.
[43]	Berna A Z, Trowell S, Clifford D, et al.Geographical origin of Sauvignon Blanc wines predicted by mass spectrometry and metal oxide based electronic nose[J].Analytica Chimica Acta, 2009, 648 (2) :146-152.
[44]	Cosio M S, Ballabio D, Benedetti S, et al.Geographical origin and authentication of extra virgin olive oils by an electronic nose in combination with artificial neural networks[J].Analytica Chimica Acta, 2006, 567 (2) :202-210.
[45]	Kirsch J D, Drennen J K.Nondestructive tablet hardness testing by near-infrared spectroscopy:a new and robust spectral best-fit algorithm[J].Journal of Pharmaceutical and Biomedical Analysis, 1999, 19 (3-4) :351-362.
[46]	Ventura M, de Jager A, de Putter H, et al.Non-destructive determination of soluble solids in apple fruit by near infrared spectroscopy (NIRS) [J].Postharvest Biology and Technology, 1998, 14 (1) :21-27.
[47]	Schmilovitch Z E, Mizrach A, Hoffman A, et al.Determination of mango physiological indices by near-infrared spectrometry[J].Postharvest Biology and Technology, 2000, 19 (3) :245-252.
[48]	Karoui R, Dufour E, Bosset J O, et al.The use of front face fluorescence spectroscopy to classify the botanical origin of honey samples produced in Switzerland[J].Food Chemistry, 2007, 101 (1) :314-323.
[49]	Galtier O, Dupuy N, Le Dréau Y, et al.Geographic origins and compositions of virgin olive oils determinated by chemometric analysis of NIR spectra[J].Analytica Chimica Acta, 2007, 595 (1-2) :136-144.
[50]	肖松山, 范世福, 李昀, 等.光谱成像技术进展[J].现代仪器, 2003 (5) :5-8.

Supplements (0)

Get Citation

PDF

XML

Article Metrics

Article views (166) PDF downloads (519)

Science and Technology of Food Industry

The review of agricultural products traceability of origin based on non-destructive testing technology

Abstract

References

Catalog

Article Metrics

Export File

Citation

Format

Content