分散液液微萃取技術(shù)在食品農(nóng)藥殘留檢測中的應(yīng)用研究
本文選題:懸浮固化-分散液液微萃取(DLLME-SFO) + 空氣輔助-分散液液微萃取(AALLME)��; 參考:《貴州師范大學》2017年碩士論文
【摘要】:在食品農(nóng)藥殘留分析中,樣品預(yù)處理步驟非常關(guān)鍵。分散液液微萃取(DLLME)技術(shù)作為一種新型樣品前處理技術(shù),克服了傳統(tǒng)樣品預(yù)處理技術(shù)或繁雜耗時、或?qū)嶒灣杀具^高、抑或處理效果不佳等缺點,滿足理想方法所應(yīng)具備的成本低、準確度高、選擇性高、靈敏度高、重現(xiàn)性良好的要求,在其不斷發(fā)展的過程中,一直備受關(guān)注。本文是在總結(jié)前人研究工作的基礎(chǔ)上,利用三種新型分散液液微萃取方法對食品中的常見農(nóng)藥殘留進行了應(yīng)用分析研究,內(nèi)容如下:1.建立了懸浮固化-分散液液微萃取-氣相色譜法(DLLME-SFO-GC)測定野木瓜中9種有機氯農(nóng)藥殘留量的方法。樣品經(jīng)石油醚提取、濃硫酸凈化、懸浮固化-分散液液微萃取法濃縮后,用氣相色譜-電子捕獲檢測器(ECD)檢測,外標法定量。結(jié)果表明,9種農(nóng)藥在1.0~100.0μg/L范圍內(nèi)線性關(guān)系良好,相關(guān)系數(shù)R2在0.99以上,方法檢出限(LOD)為0.01~0.07μg/kg。9種有機氯農(nóng)藥在1.75、7.00、28.00μg/kg三個濃度水平添加下,平均回收率范圍為83.3~116.7%,相對標準偏差(RSD)范圍為1.5~14%。該方法靈敏度高,成功應(yīng)用于野木瓜中9種有機氯農(nóng)藥殘留的測定。2.建立了空氣輔助-分散液液微萃取-氣相色譜法(AALLME-GC)測定水果中7種有機磷農(nóng)藥殘留量的新方法。樣品經(jīng)乙酸乙酯提取、空氣輔助-分散液液微萃取法濃縮后,用氣相色譜-火焰光度檢測器(FPD)檢測,采用外標法對有機磷農(nóng)藥殘留進行定量。在優(yōu)化后的實驗條件下,7種農(nóng)藥均在40.0~4000.0μg/L范圍內(nèi)線性關(guān)系良好,R2在0.99以上,LOD為0.24~1.32μg/kg。采用三個不同濃度水平(12.0、300.0、1000.0μg/kg)進行了加標回收實驗,結(jié)果表明,7種有機磷農(nóng)藥的平均回收率范圍為82.0~114.8%,RSD范圍為1.8~15.2%,該方法準確靈敏,成功應(yīng)用于野木瓜、蘋果、梨、葡萄中7種有機磷農(nóng)藥殘留的測定。3.開發(fā)了一種簡便快速的微萃取技術(shù)即空氣輔助-懸浮固化-分散液液微萃取(AALLME-SFO)用以萃取果汁中4種擬除蟲菊酯農(nóng)藥殘留。本方法無需分散劑,用少量的低密度有機溶劑作萃取劑,被富集后的分析物經(jīng)ECD檢測,外標法定量。在優(yōu)化后的實驗條件下,4種擬除蟲菊酯農(nóng)藥LOD低(0.01~0.03μg/L),在5.0~500.0μg/L范圍內(nèi)線性關(guān)系良好,R2在0.99以上。在5、100、400μg/L三個濃度水平添加下,平均回收率范圍為82.6~113.6%,RSD范圍為1.4~14.1%,以上結(jié)果表明,該方法對果汁中四種擬除蟲菊酯類農(nóng)藥的測定具有優(yōu)越的性能。綜上,本文對不同類型的DLLME技術(shù)進行了研究,通過超聲輔助、空氣輔助等方式開發(fā)了三種新型DLLME技術(shù)測定食品中的常見農(nóng)藥殘留,對固體基質(zhì)上DLLME技術(shù)的應(yīng)用進行探索的同時,也極大地提高了分析性能。
[Abstract]:In food pesticide residue analysis, sample pretreatment is very important. Dispersion liquid microextraction (DLLME), as a new sample pretreatment technology, overcomes the disadvantages of traditional sample pretreatment technology, such as excessive time consuming, high experimental cost or poor treatment effect, and meets the low cost of the ideal method. The requirements of high accuracy, high selectivity, high sensitivity and good reproducibility have attracted much attention in the process of its continuous development. On the basis of summarizing the previous research work, three new dispersible liquid microextraction methods were used to analyze the common pesticide residues in food. The contents are as follows: 1. A method for the determination of 9 organochlorine pesticide residues in papaya by suspension solidification, dispersion liquid microextraction and gas chromatography (DLME-SFO-GC) was established. The samples were extracted by petroleum ether, purified by concentrated sulfuric acid, concentrated by suspension solidification-dispersion liquid microextraction, detected by gas chromatography-electron capture detector (ECD) and quantified by external standard method. The results showed that the linear range of nine pesticides was 1.0 渭 g / L, the correlation coefficient R2 was above 0.99. The detection limit (LOD) of the method was 0.01n 0.07 渭 g/kg.9 and the average recovery range was 83.3116.7 渭 g/kg and the relative standard deviation was 1.5%. The method is highly sensitive and has been successfully applied to the determination of 9 organochlorine pesticide residues in papaya. A new method for the determination of seven organophosphorus pesticide residues in fruit by air assisted dispersible liquid microextraction and gas chromatography (AALLME-GC) was established. The samples were extracted by ethyl acetate and concentrated by air-assisted dispersible liquid microextraction. The organophosphorus pesticide residues were determined by gas chromatography-flame photometric detector (FPD) and external standard method. Under the optimized experimental conditions, the linear range of seven pesticides was within the range of 40.0 渭 g / L and 4000.0 渭 g / L, respectively. The linear range of R2 was 0.99 and the LOD was 0.240.32 渭 g / kg 路L ~ (-1) 路L ~ (-1) 路L ~ (-1) 路L ~ (-1). The standard addition and recovery experiments were carried out at three different concentration levels (12.0300.0 渭 g/kg). The results showed that the average recovery range of seven organophosphorus pesticides was 82.0 ~ 114.80.The method was accurate and sensitive, and was successfully applied to wild papaya, apple and pear. Determination of 7 organophosphorus pesticide residues in grape A simple and rapid microextraction technique called air assisted suspension solidification dispersion liquid microextraction (AALLME-SFO) was developed for the extraction of four pyrethroid pesticide residues in fruit juice. In this method, a small amount of low density organic solvent was used as extractant without dispersant. The enriched analytes were detected by ECD and quantified by external standard method. Under the optimized experimental conditions, the LOD of four pyrethroid pesticides was low (0.01 ~ 0.03 渭 g / L), and the linear relationship was higher than 0.99 in the range of 5.0 ~ 500.0 渭 g / L. The average recovery range was 82.6 渭 g / L, 113.6% and 1.4 渭 g / L, respectively. The results showed that the method had excellent performance for the determination of four pyrethroid pesticides in fruit juice. In this paper, three new DLLME technologies were developed to determine common pesticide residues in food by means of ultrasonic and air assisted, and the application of DLLME technology on solid matrix was explored at the same time. It also greatly improves the analytical performance.
【學位授予單位】:貴州師范大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TS207.53;O658.2
【參考文獻】
相關(guān)期刊論文 前10條
1 郭偉;孫海燕;;表面活性劑輔助分散液相微萃取-氣相色譜法分析蔬菜水果中有機磷類農(nóng)藥殘留[J];分析科學學報;2017年01期
2 周蓉;曹趙云;趙肖華;林曉燕;牟仁祥;;分散固相萃取-分散液液微萃取/氣相色譜-串聯(lián)質(zhì)譜法測定蔬菜中19種有機磷農(nóng)藥殘留[J];分析測試學報;2017年01期
3 徐國鋒;聶繼云;李海飛;閆震;李靜;;QuEChERS/氣相色譜法測定水果中31種有機磷農(nóng)藥殘留[J];分析測試學報;2016年08期
4 李亞男;張勇;李存雄;;懸浮固化-分散液液微萃取-氣相色譜法測定野木瓜中9種有機氯農(nóng)藥殘留量[J];分析試驗室;2016年07期
5 孟祥龍;張云清;范廣宇;徐文科;唐秀;姚燕林;;加速溶劑萃取-氣相色譜-三重四極桿串聯(lián)質(zhì)譜法測定糧谷中的51種農(nóng)藥殘留[J];食品科學;2016年22期
6 閆思月;李興海;趙爾成;賈春虹;;分散固相萃取-分散液液微萃取-氣相色譜質(zhì)譜法測定玉米和大米中氟蟲腈及其代謝物的殘留[J];分析試驗室;2016年04期
7 杜欣蔚;佘永新;李騰飛;張艷欣;劉廣洋;王靜;王珊珊;金芬;金茂俊;邵華;鄭鷺飛;曹維強;;三嗪類農(nóng)藥類特異性分子印跡聚合物的合成及其應(yīng)用[J];分析測試學報;2015年07期
8 曹江平;解啟龍;周繼梅;易宗慧;;分散液液微萃取技術(shù)在食品分析中的應(yīng)用進展[J];分析測試學報;2015年05期
9 崔艷華;姚偉宣;張素玲;王海棟;鐘芳芳;;石墨烯/聚二甲基硅氧烷涂層頂空固相微萃取與氣相色譜聯(lián)用測定環(huán)境水和果汁中菊酯農(nóng)藥殘留[J];分析測試學報;2015年04期
10 粟有志;李芳;李艷美;雷紅琴;羅瓊;劉緒斌;;固相萃取-高效液相色譜-串聯(lián)質(zhì)譜法測定葡萄干中105種農(nóng)藥殘留[J];分析試驗室;2015年04期
相關(guān)博士學位論文 前3條
1 吳桐;液相微萃取技術(shù)在農(nóng)藥殘留分析中的應(yīng)用研究[D];中國農(nóng)業(yè)大學;2014年
2 尤祥偉;分散劑改進的分散液相微萃取技術(shù)檢測果汁及水果中農(nóng)藥殘留[D];中國農(nóng)業(yè)大學;2014年
3 吳秋華;液相微萃取前處理結(jié)合高效液相色譜法在農(nóng)藥殘留分析中的應(yīng)用[D];河北農(nóng)業(yè)大學;2011年
相關(guān)碩士學位論文 前7條
1 黃玉婷;分散液液微萃取技術(shù)及其在24種農(nóng)藥殘留分析中的應(yīng)用研究[D];中國農(nóng)業(yè)科學院;2013年
2 魏天龍;高效液相色譜法同時測定生活飲用水中七種有機磷農(nóng)藥殘留研究[D];西北師范大學;2013年
3 張雪蓮;分散液液微萃取在果汁中農(nóng)藥殘留檢測中的應(yīng)用研究[D];西南大學;2013年
4 周舒;固相萃取—分散液液微萃取串聯(lián)方法及應(yīng)用研究[D];湖北大學;2012年
5 杜精精;分散液液微萃取在擬除蟲菊酯類藥物殘留檢測中的應(yīng)用研究[D];河北大學;2011年
6 武春霞;新型液相微萃取技術(shù)在環(huán)境樣品中農(nóng)藥殘留測定中的應(yīng)用[D];河北農(nóng)業(yè)大學;2011年
7 周欣;懸浮固化液相微萃取與氣相色譜聯(lián)用技術(shù)在農(nóng)藥殘留分析中的應(yīng)用[D];河北農(nóng)業(yè)大學;2010年
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