食品安全质量检测学报
食品安全質量檢測學報
식품안전질량검측학보
FOOD SAFETY AND QUALITY DETECTION TECHNOLOGY
2014年
5期
1391-1397
,共7页
万德慧%王晓朋%吴中波%唐晗%刘晓宇
萬德慧%王曉朋%吳中波%唐晗%劉曉宇
만덕혜%왕효붕%오중파%당함%류효우
莱克多巴胺%分子印迹%微流控化学发光传感器
萊剋多巴胺%分子印跡%微流控化學髮光傳感器
래극다파알%분자인적%미류공화학발광전감기
ractopamine%molecularly imprinted polymers%microfluidic chip chemiluminescence sensor
目的:制备能特异性识别莱克多巴胺(ractopamine, RCT)的分子印迹聚合物(molecularly imprinted polymers, MIPs),将该印迹聚合物与微流控化学发光法结合起来,以制备高选择性的化学发光传感器。方法利用沉淀聚合法制备莱克多巴胺印迹聚合物,采用扫描电镜、红外光谱法、吸附实验对其进行表征;以该印记聚合物为识别元件,以微流控芯片为流通反应池,并以化学发光仪作为检测器,通过流动注射分析法来检测猪肝和牛肉中的莱克多巴胺。结果在最佳条件下,测得莱克多巴胺线性范围6~960 ng/mL,线性回归方程为?I=4.8777C-9.7851, r=0.9907,检出限为0.83 ng/mL,对10 ng/mL莱克多巴胺平行测定11次,其RSD(相对标准偏差)为7.1%。应用该方法成功分析了猪肝和牛肉中RCT含量,回收率可达90.3%~99.8%。结论本方法快速、准确、样品前处理简单,能很好地用于食品中莱克多巴胺残留的检测。
目的:製備能特異性識彆萊剋多巴胺(ractopamine, RCT)的分子印跡聚閤物(molecularly imprinted polymers, MIPs),將該印跡聚閤物與微流控化學髮光法結閤起來,以製備高選擇性的化學髮光傳感器。方法利用沉澱聚閤法製備萊剋多巴胺印跡聚閤物,採用掃描電鏡、紅外光譜法、吸附實驗對其進行錶徵;以該印記聚閤物為識彆元件,以微流控芯片為流通反應池,併以化學髮光儀作為檢測器,通過流動註射分析法來檢測豬肝和牛肉中的萊剋多巴胺。結果在最佳條件下,測得萊剋多巴胺線性範圍6~960 ng/mL,線性迴歸方程為?I=4.8777C-9.7851, r=0.9907,檢齣限為0.83 ng/mL,對10 ng/mL萊剋多巴胺平行測定11次,其RSD(相對標準偏差)為7.1%。應用該方法成功分析瞭豬肝和牛肉中RCT含量,迴收率可達90.3%~99.8%。結論本方法快速、準確、樣品前處理簡單,能很好地用于食品中萊剋多巴胺殘留的檢測。
목적:제비능특이성식별래극다파알(ractopamine, RCT)적분자인적취합물(molecularly imprinted polymers, MIPs),장해인적취합물여미류공화학발광법결합기래,이제비고선택성적화학발광전감기。방법이용침정취합법제비래극다파알인적취합물,채용소묘전경、홍외광보법、흡부실험대기진행표정;이해인기취합물위식별원건,이미류공심편위류통반응지,병이화학발광의작위검측기,통과류동주사분석법래검측저간화우육중적래극다파알。결과재최가조건하,측득래극다파알선성범위6~960 ng/mL,선성회귀방정위?I=4.8777C-9.7851, r=0.9907,검출한위0.83 ng/mL,대10 ng/mL래극다파알평행측정11차,기RSD(상대표준편차)위7.1%。응용해방법성공분석료저간화우육중RCT함량,회수솔가체90.3%~99.8%。결론본방법쾌속、준학、양품전처리간단,능흔호지용우식품중래극다파알잔류적검측。
Objective A ractopamine (RCT) imprinted polymer was prepared as a recognition element, which had the ability of specific recognition. Based on the recognition element, a novel microfluidic chip-chemiluminescence(CL) sensor was designed and assembled to monitor the RCT content in food. Methods The RCT imprinted polymer was synthesized by precipitation polymerization. SEM, FT-IR spectra and absorption experiment were applied as characterization methods. With MIPs working as the recognition element, microfluidic chip as flow reaction cell, a novel flow analysis CL sensor for the determination of RCT was developed and optimized. Results Under the optimal conditions, the relative CL intensity showed a linear relationship in the range of 6~960 ng/mL RCT with detection limit of 0.83 ng/mL. The linear regression equation was ΔI=4.8777C-9.7851, r=0.9907. The relative standard deviation was 7.1% for 10 ng/ mL RCT (n=11). The method was successfully used to analyze the RCT content in pig liver and beef. The recovery was between 90.3% and 99.8%. Conclusion The method is rapid, accurate, and simple pre-treatment, which can be well used in the determination of ractopamine residues in food.