Hollow-structured molecularly imprinted polymers enabled specific enrichment and highly sensitive determination of aflatoxin B1 and sterigmatocystin against complex sample matrix

分子印迹聚合物 分子印迹 吸附 杂色曲霉素 化学 复矩阵 色谱法 黄曲霉毒素 生物芯片 纳米技术 选择性 材料科学 有机化学 食品科学 催化作用
作者
Lu Yang,Jing Wang,Chunyang Li,Qisijing Liu,Jin Wang,Jing Wu,Huan Lv,Xuemeng Ji,Jing‐Min Liu,Shuo Wang
出处
期刊:Journal of Hazardous Materials [Elsevier]
卷期号:451: 131127-131127 被引量:29
标识
DOI:10.1016/j.jhazmat.2023.131127
摘要

The biotoxins with high toxicity have the potential to be manufactured into biochemical weapons, seriously threatening international public security. Developing robust and applicable sample pretreatment platforms and reliable quantification methods has been recognized as the most promising and practical approach to solving these problems. Through the integration of the hollow-structured microporous organic networks (HMONs) as the imprinting carriers, we proposed a molecular imprinting platform (HMON@MIP) with enhanced adsorption performance in terms of specificity, imprinting cavity density as well as adsorption capacity. The HMONs core of MIPs provided a hydrophobic surface that enhanced the adsorption of biotoxin template molecules during the imprinting process, resulting in an increased imprinting cavity density. The HMON@MIP adsorption platform could produce a series of MIP adsorbents by changing the biotoxin template, such as aflatoxin and sterigmatocystin, and showed promising generalizability. The limits of detection (LOD) of the HMON@MIP-based preconcentration method for AFT B1 and ST were 4.4 and 6.7 ng L-1, respectively, and the method was applicable to food sample with satisfied recoveries of 81.2-95.1%. And the specific recognition and adsorption sites left on HMON@MIP by the imprinting process can achieve outstanding selectivity for AFT B1 and ST. The developed imprinting platforms hold great potential for application in the identification and determination of various food hazards in complex food sample matrices and contribute to precise food safety inspection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
alna发布了新的文献求助10
刚刚
huxiaomin发布了新的文献求助10
刚刚
刚刚
1秒前
1秒前
1秒前
舒适的小高给舒适的小高的求助进行了留言
2秒前
2秒前
2秒前
2秒前
2秒前
清脆安南发布了新的文献求助10
3秒前
3秒前
pluto应助工位瘤子采纳,获得10
3秒前
Lion完成签到,获得积分20
3秒前
乐乐应助lvlv采纳,获得10
3秒前
卷发麦麦完成签到 ,获得积分10
3秒前
3秒前
4秒前
Knowledge发布了新的文献求助10
4秒前
4秒前
852应助123采纳,获得10
5秒前
小蘑菇应助默默的涵柏采纳,获得10
5秒前
snubdisphenoid应助gaozy采纳,获得10
5秒前
顾矜应助gaozy采纳,获得10
5秒前
5秒前
wanci应助wzf采纳,获得10
5秒前
6秒前
丘比特应助xz采纳,获得10
6秒前
6秒前
王正正发布了新的文献求助10
6秒前
6秒前
LL发布了新的文献求助10
6秒前
6秒前
朝明发布了新的文献求助10
6秒前
艺阳发布了新的文献求助10
6秒前
6秒前
Garrett完成签到 ,获得积分10
7秒前
WTT发布了新的文献求助10
7秒前
WBTT发布了新的文献求助10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6040994
求助须知:如何正确求助?哪些是违规求助? 7779001
关于积分的说明 16232608
捐赠科研通 5186996
什么是DOI,文献DOI怎么找? 2775682
邀请新用户注册赠送积分活动 1758708
关于科研通互助平台的介绍 1642256