食品科学2017，Vol.38Issue(6)：287-294,8.DOI:10.7506/spkx1002-6630-201706045
响应面试验优化动物源性食品中呋喃西林代谢物ELISA检测的衍生条件
Optimization of Derivatization Conditions by Response Surface Methodology for the Determination of Semicarbazide in Animal-Derived Foods by Enzyme-Linked Immunosorbent Assay
摘要
Abstract
The derivatization conditions for the determination of semicarbazide by enzyme-linked immunosorbent assay (ELISA) were optimized using combination of one-factor-at-a-time method and response surface methodology with BoxBehnken design.The independent variables were volume and concentration of derivatization agent,derivatization temperature and time and the recovery of semicarbazide was used as response variable.The linear range of ELISA was 0.13-10.51 ng/mL and the 50％ inhibitory concentration (IC50) value was 1.17 ng/mL.The optimal derivatization conditions were determined as follows:using 415 μL of 15 mmol/L derivatization agent and derivative at 57 ℃ for 50 min.Under these conditions,the recovery of semicarbazide was in the range of 98.57％-103.76％.The cross-reactivity value of the derivatization product was 7.63％ with furacilin and lower than 0.17％ with its structural and functional analogues.The recoveries in spiked negative samples ranged from 93.45％ to 103.21％.The intra-assay and inter-assay coefficients of variation were 1.86％-6.15％ and 3.88％-8.84％,respectively.The derivatization conditions were highly efficient and the ELISA method was sensitive,accurate,and suitable for the fast screening of semicarbazidee in animal-derived foods.关键词
呋喃西林代谢物/衍生条件/响应面法/动物源性食品/酶联免疫吸附法Key words
semicarbazide (SEM)/derivatization conditions/response surface methodology/animal-derived foods/enzyme-linked immunosorbent assay (ELISA)分类
轻工纺织引用本文复制引用
彭宏威,白瑞樱,陈殿,孙远明,徐振林,曾道平,李段,伍志权,杨金易..响应面试验优化动物源性食品中呋喃西林代谢物ELISA检测的衍生条件[J].食品科学,2017,38(6):287-294,8.基金项目
国家星火计划项目(2012GA780001 （）
2013GA780035) （）
“十二五”国家科技支撑计划项目(2012BAD31B0302) （2012BAD31B0302）
广东省自然科学基金项目(S2013030013338) （S2013030013338）
NSFC-广东联合基金项目(U1301214) （U1301214）
广东省科技计划项目(2012A020100002) （2012A020100002）
广州市珠江科技新星专项(2013J2200080) （2013J2200080）
广州市科技计划项目(2014J4200015) （2014J4200015）
