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Study On The Rice Traceability Analysis Of Jilin Provenance

Posted on:2016-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2191330479981591Subject:Food, grease and vegetable protein engineering
Abstract/Summary:PDF Full Text Request
In recent years, due to the rapid development of the domestic food market, geographical indications products have been severely damaged, food safety incidents are frequent outbreaks. Food traceability detection technology is an effective technical approach used in food provenance traceability. Electronic information coding technology, ultra-analysis and biochemistry technology are so widely used in the food traceability process. Traceability in the rice-related, the ultrafine analysis techniques are used mostly which include: stable isotope fingerprinting technique, near infrared spectroscopy and elemental analysis of mineral technology. And mineral elements as one of the most important indicators of the geographical origin discrimination, due to many affect factors like precipitation, climate, soil, air, etc., has its obvious regional differences. Because the differences in the single mineral elements are not static across regions, in order to overcome the instability caused by the error detection of individual elements, often take a variety of integrated analysis of mineral elements.To explore the feasibility and effectiveness to the rice provenance traceability of the similar and small geographic range of the mineral elements fingerprint technology, this study using atomic absorption spectrometry to detect 11 kinds of mineral elements in the field of rice samples(Cd, Pb, Cr, Cu, Fe, Zn, K, Mn, Na, Mg, Ca) of the origin of the three main areas in Jilin Songyuan(Xinli Township, Xingyuan Township, Ping Feng Township). By means of multivariate statistical analysis software SPSS test results which conducted multivariate variance analysis, discriminant analysis(LDA), principal component analysis(PCA) and discriminant analysis verification(DA). The results show that: the correct identification rate is 100%, achieved a small range of provenance traceability with using mineral elements, confirmed the feasibility of the application of mineral elements indictors to achieve a small range similar geographical rice provenance traceability.Screening of Zn, K, Mg, Na, Ca, Mn 6 elements as Songyuan rice traceability indicators, analyze verification showed that the correct identification rate is 100%.In addition, to establish the precise rice geographical traceability indicators of Jilin provenance screened accurate and stable provenance traceability fingerprint information.In this study, we got samples in the field of Jilin another five major rice producing areas, with a total collection of 500 varieties of rice samples were Dehui City(100 parts), Shulan(100 parts), Meihekoushi(100 parts), Dunhua City(100 parts), and Helong City(100 parts). By measuring the 11 mineral elements content of the rice samples and conjunction with multi-element analysis of variance, principal component analysis, discriminant analysis, making traceability indicators screened. 5 cities origin traceability index results are as follows, Meihekou: Cr, Mg, Mn, Zn, Cu, Na; Dehui: Mg, Mn, Fe, K, Zn; Shulan: Ca, Fe, Na; Dunhua: Cr, Mg, Cd, Fe, Cu, Na; and Helong: Cr, Mn, Fe, Zn.To observe the differences relevance in mineral elements of Jilin Province and the identification effect of the traceable fingerprint information to identify the origin of the sample, this study through difference analysis of the whole mineral elements content rice data of Jilin Province. Further comprehensive analysised the traceability indicators of six major rice producing areas in Jilin province,selected 10 sets rice data which have the similar variance with the initial 100 sets riac data in the 6 major rice producing areas, making the discriminant analysis and cluster analysis, achieved the rice samples origin traceability of the six regions in Jilin province successfully, its origin discriminant analysis correct rate is 93.3%, crosscheck the accuracy rate is 90.0%; its origin cluster analysis correct rate is 86.67%.
Keywords/Search Tags:traceability, rice, mineral elements, traceability index
PDF Full Text Request
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