發(fā)布時間：2018-04-18 05:25

  本文選題：核桃 + 痕量��； 參考：《中國林業(yè)科學研究院》2017年碩士論文

【摘要】：本文針對核桃樣品建立了ICP-MS多元素測定方法和判別模型,為核桃地理標志產品的原產地保護提供一定的理論參考依據。通過建立微波消解-ICP-MS和微波灰化-ICP-MS方法,測定了核桃中35種元素,結合單因素方差分析、主成分分析(PCA)和線性判別分析(LDA)等方法,建立了不同地區(qū)核桃判別模型,并成功對核桃產地進行了鑒別。研究結果表明:(1)通過優(yōu)化微波消解程序和ICP-MS儀器測定條件,建立了微波消解-ICP-MS測定核桃中19種微量和痕量元素的方法。方法檢出限為0.047~78.4μg kg-1,加標回收率在85.7%~109.8%之間,其RSD在0.11%~2.2%之間,豆角標準物質(GBW10021)各元素測定值均在推薦值范圍內,表明該方法測定核桃中19種元素可靠、穩(wěn)定。(2)通過優(yōu)化微波灰化前處理條件和ICP-MS儀器測定條件,建立了微波灰化-ICP-MS測定核桃中16種稀土元素的方法。16種稀土元素的檢出限為0.00059~0.12μg kg-1,加標回收率在73.5%~110.9%之間,RSD范圍為0.3%~19.7%之間,大豆標準物質(GBW10013)和豆角標準物質(GBW10021)中稀土元素測定值均在推薦值范圍內,表明該方法的檢出限和準確度都能滿足多種稀土元素的測定。不同核桃樣品中稀土元素測定結果表明,16種稀土元素總量為2.7~11.9μg kg-1,并且不同來源的樣品中Sc、Y和La等元素含量差異較大。(3)應用微波消解-ICP-MS和微波灰化-ICP-MS方法測定了全國8個核桃主產省128份核桃樣品中35種元素含量,對元素含量進行單因素方差分析、主成分分析(PCA)和線性判別分析(LDA)。比較發(fā)現,不同地區(qū)核桃樣品中元素組成存在顯著性差異(p0.05)。PCA能夠反映出原始變量的大部分信息,但對不同地區(qū)核桃分類能力較弱;LDA能夠篩選出與產地相關的元素指標,并分別建立了不同產地核桃判別模型和核桃地理標志與非地理標志產品判別模型,判別正確率分別達到99.2%和95.7%。
[Abstract]:In this paper, the multi-element determination method and discriminant model of ICP-MS for walnut samples were established, which provided a certain theoretical reference for the protection of the origin of walnut geographical indication products.The methods of microwave digestion (-ICP-MS) and microwave ashing (-ICP-MS) were established to determine 35 elements in walnut. Combined with the methods of single factor variance analysis, principal component analysis (PCA) and linear discriminant analysis (LDAA), the discriminant models of walnut in different areas were established.The walnut production area was identified successfully.The results showed that the microwave digestion program and the determination conditions of ICP-MS instrument were optimized. A method for the determination of 19 trace and trace elements in walnut by microwave digestion and ICP-MS was established.The detection limit was 0.047 ~ 78.4 渭 g / kg ~ (-1), the recovery rate was between 85.7% and 109.8%, the RSD was between 0.11% and 2.2%, and the determination value of bean bean reference material GBW10021 was within the recommended value, indicating that the method was reliable for the determination of 19 elements in walnut.The method for the determination of 16 rare earth elements in walnut by microwave ashing with ICP-MS was established. The detection limit of 16 rare earth elements was 0.00059 ~ 0.12 渭 g 路kg ~ (-1), and the recoveries were between 73.5% and 19.7%.The determination values of rare earth elements in soybean reference material GBW10013) and soybean standard material GBW10021) were within the recommended value range, which indicated that the detection limit and accuracy of the method could meet the determination of many rare earth elements.The results of determination of rare earth elements in different walnut samples showed that the total amount of 16 rare earth elements was 2.7 ~ 11.9 渭 g 路kg ~ (-1), and the contents of scroy and La in different source samples were quite different.) the total amount of total rare earth elements was determined by microwave digestion-ICP-MS and microwave ashing-ICP-MS.The contents of 35 elements in 128 walnut samples from 8 major producing provinces of China,Single factor ANOVA, principal component analysis (PCA) and linear discriminant analysis (LDAA) were performed for element content.It was found that there were significant differences in elemental composition in walnut samples from different areas. PCA could reflect most of the information of the original variables, but LDA could screen out the elements related to the origin of walnut in different areas.The discriminant models of walnut from different producing areas and the discriminant models of walnut geographical indications and non-geographical indications products were established respectively. The accuracy rates of distinguishing walnut were 99.2% and 95.7% respectively.
【學位授予單位】：中國林業(yè)科學研究院
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：O657.63;TS255.6

【參考文獻】

相關期刊論文 前10條

1 尹鵬;章劍揚;劉新;劉威;袁丁;郭桂義;;電感耦合等離子質譜法分析不同產區(qū)信陽毛尖茶中的稀土元素[J];食品安全質量檢測學報;2016年09期

2 王潔;伊曉云;倪康;景進;石元值;阮建云;;基于稀土元素指紋的扁形茶產地判別分析[J];浙江農業(yè)科學;2016年07期

3 王小玲;劉騰云;高柱;胡淼;余發(fā)新;;稀土元素對作物生長及作物品質影響的研究進展[J];核農學報;2016年06期

4 李韶今;張相民;劉聯斌;周茂華;葉桂林;葉永強;謝傳華;王剛;;非小細胞肺癌與稀土元素含量的相關性研究[J];中華腫瘤防治雜志;2016年06期

5 史長義;梁萌;馮斌;;中國水系沉積物39種元素系列背景值[J];地球科學;2016年02期

6 任傳義;張延平;湯富彬;沈丹玉;莫潤宏;;油茶籽油、油橄欖油、核桃油、香榧油中主要化學成分分析[J];食品安全質量檢測學報;2015年12期

7 王仕哲;;“大姚核桃”獲批國家地理標志保護產品[J];云南農業(yè);2015年11期

8 商博東;段夢茹;林肖惠;張明月;馮惠予;楊君;;電感耦合等離子體質譜法測定蔬菜中16種稀土元素[J];中國衛(wèi)生檢驗雜志;2015年20期

9 王滑;潘剛;馬慶國;裴東;;西藏不同居群核桃核仁中脂肪酸成分的含量變化[J];經濟林研究;2015年03期

10 YIN Liang Liang;TIAN Qing;SHAO Xian Zhang;KONG Xiang Yin;JI Yan Qin;;Determination of Trace Elements in Edible Nuts in the Beijing Market by ICP-MS[J];Biomedical and Environmental Sciences;2015年06期

相關博士學位論文 前1條

1 夏阿林;高維化學計量學方法的若干基礎性研究以及在藥物分析中的應用[D];湖南大學;2007年

相關碩士學位論文 前7條

1 劉青;河北省核桃產業(yè)技術創(chuàng)新戰(zhàn)略聯盟創(chuàng)建研究[D];河北農業(yè)大學;2014年

2 陳鋒;福建省武夷巖茶中稀土元素的研究[D];福建農林大學;2014年

3 李月福;輕稀土鑭和重稀土釔對玉米和油菜幼苗生長影響研究[D];江西理工大學;2013年

4 張曉娟;基于多因素收益預測的均值—方差投資組合模型及實證研究[D];東北大學;2012年

5 唐Pr雨;重慶地區(qū)茶葉礦質元素分析及產地特性研究[D];西南大學;2012年

6 盛永芳;海南島南渡江流域典型區(qū)土壤中稀土元素地球化學特征[D];青島大學;2011年

7 譚勇;稀土元素的生態(tài)效應及土壤中稀土有效態(tài)的研究[D];南京農業(yè)大學;2000年

，

本文編號：1766994