基于矿质元素的苦荞产地判别研究

doi:10.3864/j.issn.0578-1752.2011.22.012

摘要/Abstract

摘要： 【目的】分析不同省份苦荞矿质元素的特点，筛选判别苦荞产地的有效指标,同时探索苦荞产地溯源和判别的方法。【方法】对苦荞主产区山西、甘肃、青海、四川和云南省的39个苦荞品种中的7种矿质元素Cu、Zn、Fe、Mn、Ca、P和Se的含量进行统计分析，在对7种矿质元素进行逐步筛选的基础上，应用非参数判别的K最近邻法进行判别分析。【结果】不同省份苦荞品种的矿质元素含量存在不同程度的差异，云南苦荞Cu、P含量最高；山西苦荞Se含量最高；青海苦荞Zn、Fe、Ca含量最高；四川苦荞Cu、Zn、Fe、Ca、P含量均最低，Mn和Se含量也较低；甘肃苦荞Mn含量最低。Se、Mn、Zn、Ca和P对苦荞分类有极显著影响，Fe和Cu对苦荞判别影响不显著；判别结果回判正确率和交互验证正确率均为97.4%。【结论】矿质元素含量和现代统计技术相结合的判别方法，用于苦荞产地溯源和判别是有效、可行的。

关键词: 苦荞, 矿质元素, 判别分析, K最近邻法, 数据挖掘

Abstract: 【Objective】The characteristics of mineral elements in tartary buckwheat from different provinces were analyzed in order to make choice of the effective index in tartary buckwheat origin discrimination, and to explore the method of tartary buckwheat origin traceability and discrimination.【Method】Seven mineral element contents (Cu, Zn, Fe, Mn, Ca, P and Se) were analyzed in thirty-nine samples from five provinces of China（i.e., Shanxi, Gansu，Qinghai，Sichuan and Yunnan）. On the basis of stepwise selection，the K Nearest Neighbor (KNN) analysis of nonparametric discriminant was applied to data analysis.【Result】The results showed that the mineral element contents were different in tartary buckwheat varieties from different provinces. In conclusion, element contents of Cu and P were the highest in the Tartary buckwheat varieties from Yunnan while Se was the highest in those from Shanxi. However, the contents of Zn，Fe and Ca were the highest in those from Qinghai, while Cu, Zn, Fe, Ca and P were the least in those from Sichuan, and Mn was the least in those from Gansu. Then, mineral element character indexes (Zn, Mn, Ca, P and Se) affecting the classification greatly were selected with discrimination analysis. A percentage of 97.4% of correct classification was achieved by resubstitution and cross-validated.【Conclusion】The determination of mineral element content in combination with modern statistical techniques should be a useful and convenient tool for the origin discrimination and standardization of tartary buckwheat.

Key words: tartary buckwheat, mineral element, discriminant analysis, K Nearest Neighbor, data mining

张强, 李艳琴. 基于矿质元素的苦荞产地判别研究[J]. 中国农业科学, 2011, 44(22): 4653-4659.

ZHANG Qiang, LI Yan-Qin. The Origin Discrimination of Tartary Buckwheat Based on the Mineral Elements[J]. Scientia Agricultura Sinica, 2011, 44(22): 4653-4659.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2011.22.012

https://www.chinaagrisci.com/CN/Y2011/V44/I22/4653

参考文献

[1]林汝法, 周小理, 任贵兴, 边俊生, 陕方. 中国荞麦的生产与贸易、营养与食品. 食品科学, 2005, 26(1): 259-263.

Lin R F, Zhou X L, Ren G X, Bian J S, Shan F. Production and trading of buckwheat in China, nutrition and food. Food Science, 2005, 26(1):259-263. (in Chinese)

[2]Bonafaccia G, Marocchini M, Kreft I. Composition and technological properties of the flour and bran from common and tartary buckwheat. Food Chemistry, 2003, 80: 9-15.

[3]林汝法, 陕方, 宋金翠, 孟宪军. 酶法水解苦荞麸皮蛋白生产降血压肽. 食品科学, 2004, 25(11) : 207-209.

Lin R F, Shan F, Song J C, Meng X J. Study on antihypertensive peptides from tartary buckwheat bran protein by enzymatic hydrolysis. Food Science, 2004, 25(11): 207-209. (in Chinese)

[4]王敏, 魏益民, 高锦明. 苦荞胚油对高脂血大鼠血脂及脂质过氧化作用的影响. 中国粮油学报, 2006, 21(4) : 45-49.

Wang M, Wei Y M, Gao J M. Cholesterol lowering effect of tartary buckwheat germ oil in hypercholesterolemic rat. Journal of the Chinese Cereals and Oils Association, 2006, 21(4): 45-49. (in Chinese)

[5]Yao Y, Shan F, Bian J, Chen F, Wang M, Ren G. D-chiro-inositol- enriched tartary buckwheat bran extract lowers the blood glucose level in KK-Ay mice. Journal of Agricultural and Food Chemistry, 2008, 56(21): 10027-10031.

[6]Li Y, Gao F, Gao F, Shan F, Bian J, Zhao C. Study on the interaction between 3 flavonoid compounds and alpha-amylase by fluorescence spectroscopy and enzymatic kinetics. Journal of Food Science, 2009, 74(3):C199-203.

[7]Kelly S, Baxter M, Chapman S, Rhodes C, Dennis J, Brereton P. The application of isotopic and elemental analysis to determine the geographical origin of premium long grain rice. European Food Resource and Technology, 2002, 214:72-78.

[8]Branch S, Burke S, Evans P, airman B, Céline S J. Wollff Briche. A preliminary study in determining the geographical origin of wheat using isotope ratio inductively coupled plasma mass spectrometry with 13C, 15N mass spectrometry. Journal of Analytical Atomic Spectrometry, 2003, 18(1):17-22.

[9]郭波莉, 魏益民, 潘家荣, 李勇.多元素分析判别牛肉产地来源研究. 中国农业科学, 2007, 40(12):2842-2847.

Guo B L, Wei Y M, Pan J R, Li Y. Determination of beef geographical origin based on multi-element analysis. Scientia Agricultura Sinica, 2007, 40(12):2842-2847. (in Chinese)

[10]罗婷, 赵镭, 胡小松, 汪厚银, 廖小军, 吴继红. 绿茶矿质元素特征分析及产地判别研究. 食品科学, 2008, 29(11): 494-497.

Luo T, Zhao L, Hu X S, Wang H Y, Liao X J, Wu J H. Study on characteristic analysis of mineral elements in green tea and discrimination based on origin. Food Science, 2008, 29(11): 494-497. (in Chinese)

[11]陈燕清, 倪永年, 舒红英. 基于无机元素的含量判别食醋的种类和品牌方法研究. 光谱学与光谱分析, 2009: 29(10): 2860-2863.

Chen Y Q, Ni Y N, Shu H Y. Research on discrimination method of vinegar varieties and brands based on the content of inorganic elements. Spectroscopy and Spectral Analysis, 2009, 29(10): 2860-2863. (in Chinese)

[12]张云涛, 龚玲. 数据挖掘原理与技术. 北京: 电子工业出版社, 2004.

Zhang Y T, Gong L. The Principle and Technique of Data Mining. Beijing: Publishing House of Electronics Industry, 2004. (in Chinese)

[13]Chen J Y, Lonardi S. Biological Data Mining. Boca Raton London New York: CRC Press Taylor & Francis Group, 2010.

[14]Yeh J Y, Wu T H, Tsao C W. Using data mining techniques to predict hospitalization of hemodialysis patients. Decision Support Systems, 2011,50:439-448.

[15]Uça T, Karahoca A. Predicting existence of Mycobacterium tuberculosis on using data mining approaches. Procedia Computer Science, 2011, (3): 1404-1411.

[16]Bartok J, Habala O, Bednar P, Gazak M, Hluchy L. Data mining and integration for predicting significant meteorological phenomena. Procedia Computer Science, 2010, (1):37-46.

[17]梁川, 王文生, 谢能付. 农业信息资源上数据挖掘的应用. 中国农学通报, 2009, 25 (11): 243-247.

Liang C, Wang W S, Xie N F. Application of data mining system in agricultural information. Chinese Agricultural Science Bulletin, 2009, 25 (11 ): 243-247. (in Chinese)

[18]黄燕, 吴平. SAS统计分析及应用. 北京: 机械工业出版社, 2006: 315-328.

Huang Y, Wu P. SAS Statistical Analysis and Application. Beijing: China Machine Press, 2006: 315-328. (in Chinese)

[19]杜强, 贾丽艳. SAS统计分析标准教程. 北京: 人民邮电出版社, 2010.

Du Q, Jia L Y. The Standard Course of SAS Statistical Analysis. Beijing: Posts & Telecom Press, 2010. (in Chinese)

[20]高惠璇. 实用统计方法与SAS系统. 北京: 北京大学出版社, 2001: 135-176.

Gao H X. Practical Statistical Methods and SAS System. Beijing: Peking University Press. 2001: 135-176. (in Chinese)

[21]黄晓韵，曹波，杨跃. 基于SAS的多元统计方法实现芯片数据挖掘. 生物信息学, 2010, 8(2): 147-149.

Huang X Y, Cao B, Yang Y. Microarray data mining is achieved by multivariate statistics based on SAS. China Journal of Bioinformatics,

2010, 8(2): 147-149. (in Chinese)

[22]刘娟, 崔树起, 吕曼, 路孝琴, 罗艳侠, 贾忠伟, 闰宇翔, 郭秀花. 基于非参数交叉证实判别分析法建社区脑膜炎诊断模型. 数理医药学杂志, 2010: 23(1): 8-10.

Liu J, Cui S Q, Lü M, Lu X Q, Luo Y X, Jia Z W, Run Y X, Guo X H. Establishing diagnosis model for community-acquired meningitis based on non-parametric cross-validation discriminant analysis. Journal of Mathematical Medicine, 2010: 23(1): 8-10. (in Chinese)

[23]康海宁, 杨妙峰, 陈波, 韩超, 王凌, 王小如. 利用矿质元素的测定数据判别茶叶的产地和品种. 岩矿测试, 2006, 25(1): 22-26.

Kang H N, Yang M F, Chen B, Han C, Wang L, Wang X R. Trace element determination in teas and discrimination analysis for teas. Rock and Mineral Analysis, 2006, 25(1): 22-26. (in Chinese)

[24]李合生. 现代植物生理学. 北京: 高等教育出版社, 2002.

Li H S. Modern Plant Physiology. Beijing: Higher Education Press, 2002. (in Chinese)

[25]刘铮. 微量元素的农业化学. 北京: 农业出版社, 1991.

Liu Z. Agricultural Chemistry of Microelements. Beijing: Agriculture Press, 1991. (in Chinese)

[26]龚子同, 张甘霖. 中国土壤系统分类: 我国土壤分类从定性向定量的跨越. 中国科学基金, 2006, (5): 293-296.

Gong Z T, Zhang G L. Chinese soil taxonxmy: A milestone of soil classification in China. Bulletin of National Natural Science Foundation of China, 2006, (5): 293-296. (in Chinese)

[27]汪涛, 杨元合, 马文红. 中国土壤磷库的大小、分布及其影响因素. 北京大学学报: 自然科学版, 2008, 44(6): 549-559.

Wang T，Yang Y H，Ma W H. Storage, Patternsand environmental controlsof soil phosphorus in China. Acta Scientiarum Naturalium Universitatis Pekinensis, 2008, 44(6): 549-559. (in Chinese)

[28]中国土壤数据库. http://www.soil105.csdb.cn/map/map. html. China Soil Scientific Database. 2010-3-23. http://www.soil105. csdb.cn/map /map.html. (in Chinese)

[29]侯雅君, 张宗文, 吴斌, 李艳琴. 苦荞种质资源AFLP标记遗传多样性分析. 中国农业科学, 2009, 42(12): 4166-4174.

Hou Y J, Zhang Z W, Wu B, Li Y Q. Genetic diversity in tartary buckwheat revealed by AFLP analysis. Scientia Agricultura Sinica, 2009, 42(12): 4166-4174.(in Chinese)

[30]孙振球. 医学统计学. 北京: 人民卫生出版社, 2002.

Sun Z Q. Medical Statistics. Beijing: People’s Medical Publishing House, 2002. (in Chinese)