|本期目录/Table of Contents|

[1]陈斌,曾昆,吴琴燕,等.基于多酶辅助信号放大的脱氧雪腐镰刀菌烯醇高灵敏免疫检测方法的建立[J].江苏农业科学,2022,50(17):211-217.
　Chen Bin,et al.Establishment of a highly sensitive immunoassay for deoxynivalenol based on multi-enzyme assisted signal amplification[J].Jiangsu Agricultural Sciences,2022,50(17):211-217.
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基于多酶辅助信号放大的脱氧雪腐镰刀菌烯醇高灵敏免疫检测方法的建立(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第50卷
期数:
2022年第17期
页码:
211-217
栏目:
贮藏加工与检测分析
出版日期:
2022-09-05

文章信息/Info

Title:
Establishment of a highly sensitive immunoassay for deoxynivalenol based on multi-enzyme assisted signal amplification
作者:
陈斌1; 曾昆1; 吴琴燕2; 杨健1; 顾鑫凯1
1.江苏大学环境与安全工程学院，江苏镇江 212013； 2.江苏丘陵地区镇江农业科学研究所，江苏镇江 212013
Author(s):
Chen Bin; et al
关键词:
真菌毒素; 脱氧雪腐镰刀菌烯醇; 多酶信号颗粒; 碳纳米管; 信号放大
Keywords:
-
分类号:
TS207.4
DOI:
-
文献标志码:
A
摘要:
脱氧雪腐镰刀菌烯醇(deoxynivalenol，DON)是粮食作物中常见的污染毒素之一，建立相应的快速筛选方法尤为必要。基于抗原-抗体特异性反应，建立DON间接竞争ELISA方法。优化反应条件(抗原和抗体浓度、离子强度、pH值、有机溶剂)，该方法检测限可达3.12 ng/mL。为进一步提高检测灵敏度，以碳纳米管为载体，荷载酶标记二抗分子，构建通用型的多酶信号颗粒。建立多酶辅助信号放大的DON免疫分析方法，优化多酶颗粒浓度后，检测限可达0.63 ng/mL，比间接竞争ELISA方法灵敏度提高5倍。对大米、小麦和玉米进行加标试验，添加回收率在87.65%~114.50%间；在本地购买的谷物样本中DON最高检出浓度为147.64 ng/g，检出率为53.33%，该方法操作简单、快速、灵敏度高，可为谷物中真菌毒素污染提供有力的检测与监测手段。
Abstract:
-

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　Liu Shuangshuang,et al.Effects of deoxynivalenol on activation and relative activation markers of mice T lymphocytes in vitro[J].Jiangsu Agricultural Sciences,2020,48(17):150.

备注/Memo

备注/Memo:
收稿日期：2021-10-11
基金项目：农业农村部污染防控重点实验室/天津市农业环境与农产品安全重点实验室开放课题项目(编号：19cdhj-8)；镇江市科技创新资金(重点研发计划——社会发展)项目(编号：SH2020019)。
作者简介：陈斌(1996—)，男，江苏丹阳人，硕士研究生，研究方向为环境污染物分析。E-mail：1013831825@qq.com。
通信作者：曾昆，博士，副教授，研究方向为环境污染物分析与生物效应。E-mail：kjj80116@163.com。
更新日期/Last Update: 2022-09-05