文献类型：期刊文献

中文题名：稳定同位素结合粗脂肪、粗蛋白含量判别核桃的产地来源

英文题名：Characterise the geographical origin of walnut using stable isotopes in combination with crude fat and protein content

作者：王鹏飞[1] 郭康[1] 沈娟章[1] 谭卫红[1]

第一作者：王鹏飞

机构：[1]中国林业科学研究院林产化学工业研究所生物质化学利用国家工程实验室国家林业局林产化学工程重点开放性实验室江苏省生物质能源与材料重点实验室,江苏南京210042

年份：2019

卷号：45

期号：2

起止页码：214-219

中文期刊名：食品与发酵工业

外文期刊名：Food and Fermentation Industries

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

语种：中文

中文关键词：核桃;稳定同位素;粗脂肪;粗蛋白;产地判别

外文关键词：walnut;stable isotope;crude fat;crude protein;origin discrimination

分类号：TS255.6

摘要：为了判别核桃的产地来源,利用稳定同位素质谱仪测定来自河南、新疆、河北、甘肃、陕西、四川、湖北、云南、广西等省的344个核桃样品的C、H、O、N同位素比值,用元素分析仪测定N元素含量并转化为粗蛋白含量,用理化分析方法测定粗脂肪含量。结果表明,核桃中的δ~2H、δ^(18)O值随纬度的降低而减小;河南省亚地区核桃的δ^(13)C值随海拔的增加而增加。利用线性判别发现,C、H、O、N同位素比值对不同省份、河南省亚地区核桃产地的正确判别率为71. 1%和57. 9%;结合粗脂肪、粗蛋白含量后,正确判别率总体分别提升至79. 6%和68. 6%。说明稳定同位素结合有机成分能提高核桃产地的判别效果,且不同省份间的判别率明显高于亚地区的判别率。
In order to distinguish walnuts according to their geographic origin,344 samples of walnuts from Henan,Xinjiang,Hebei,Gansu,Shanxi,Sichuan,Hubei,Yunnan and Guangxi were collected.Their isotope ratios of C,H,O,N were determined by isotope ratio mass spectrometry.The N content was measured by elemental analyzer and it was utilized to calculate the corresponding crude protein content.The crude fat content was determined by physicochemical analytical method.The results showed thatδ^2H andδ^18O were reduced with decreased latitude.Theδ^13C value of walnuts in Henan sub-region increased with elevated latitude.The linear discriminant analysis found that the overall rates of correctly discriminating walnuts from different provinces and Henan sub-region by the stable isotope ratio of C、H、O、N were 71.1%and 57.9%,respectively.When combined with the contents of crude fat and protein,the overall rates of correct discrimination increased up to 79.6%and 68.6%,respectively.It was found that stable isotopes in combination with organic component analysis could help discriminating the origins of walnuts.In addition,the discrimination rates for discriminating walnuts from different provinces are higher than those for sub-regions.