Article(id=1153433740383605756, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153433737141412332, articleNumber=null, orderNo=null, doi=10.19812/j.cnki.jfsq11-5956/ts.20241106006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1730822400000, receivedDateStr=2024-11-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1752929633470, onlineDateStr=2025-07-19, pubDate=1745510400000, pubDateStr=2025-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1752929633470, onlineIssueDateStr=2025-07-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1752929633470, creator=13701087609, updateTime=1752929633470, updator=13701087609, issue=Issue{id=1153433737141412332, tenantId=1146029695717560320, journalId=1149652044408987649, year='2025', volume='16', issue='8', pageStart='1', pageEnd='316', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1752929632696, creator=13701087609, updateTime=1757293087150, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1171735391666225233, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153433737141412332, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1171735391666225234, tenantId=1146029695717560320, journalId=1149652044408987649, issueId=1153433737141412332, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=54, endPage=62, ext={EN=ArticleExt(id=1153433740744314882, articleId=1153433740383605756, tenantId=1146029695717560320, journalId=1149652044408987649, language=EN, title=Advances in the application of covalent organic frameworks in mycotoxin detection, columnId=1151895321526759957, journalTitle=Journal of Food Safety & Quality, columnName=Special Topic: Detection and Prevention and Control of Biotoxins in Food, runingTitle=null, highlight=null, articleAbstract=
Mycotoxins are secondary metabolites produced by fungi. Food is highly susceptible to fungal contamination, leading to the production of various mycotoxins, which pose significant threats to food safety and human health. Given the diversity of food types and the complexity of their matrices, direct detection of mycotoxins in food is often affected by matrix effects. Therefore, establishing rapid and sensitive detection methods to monitor and control mycotoxin levels in food is of great importance. Covalent organic frameworks (COFs) are a type of porous organic material characterized by their large specific surface area, excellent stability, adjustable pore size and ease of functionalization, making them superior adsorbent materials. In recent years, COFs have become a popular material in the research of mycotoxin detection. This article categorized the synthesis methods of COFs materials and reviewed their research progress in the field of mycotoxin detection, aiming to provide a reference for the application of covalent organic framework materials in mycotoxin detection research.
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真菌毒素是真菌产生的次级代谢产物, 食品极易受到真菌的污染产生各种真菌毒素, 对于食品安全和人体健康有很大的威胁。食品种类多、基质复杂, 直接检测食品中的真菌毒素容易受到基质效应的影响, 因此建立快速、灵敏的检测方法监测、控制食品中的真菌毒素含量具有重要意义。共价有机骨架材料(covalent organic frameworks, COFs)是一种多孔有机材料, 具有比表面积大、稳定性好、孔径可调节和易于功能化的特点, 是一种优异的吸附材料。近年来COFs已经成为真菌毒素检测研究的热门材料。本文根据COFs材料的合成方法分类, 综述了其在真菌毒素的检验领域的研究进展, 以期为共价有机骨架材料在真菌毒素检测中的应用研究提供参考。
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王绘超(1999—), 男, 硕士研究生, 主要研究方向为刑事技术和食药环安全技术研究。E-mail: wanghuichaoppsuc@163.com
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王绘超(1999—), 男, 硕士研究生, 主要研究方向为刑事技术和食药环安全技术研究。E-mail: wanghuichaoppsuc@163.com
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44(15-16): 741-749., articleTitle=Analysis of mycotoxins in grain samples using 3D covalent organic frameworks and stable isotope labeling technique, refAbstract=null)], funds=[Fund(id=1171733775512805848, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, awardId=2023SYL06, language=CN, fundingSource=中国人民公安大学刑事科学技术双一流创新研究专项(2023SYL06), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1171733772660679082, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, xref=null, ext=[AuthorCompanyExt(id=1171733772669067691, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, companyId=1171733772660679082, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. College of Criminal Investigation, People’s Public Security University of China, Beijing 100038, China), AuthorCompanyExt(id=1171733772677456300, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, companyId=1171733772660679082, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.中国人民公安大学侦查学院, 北京 100038)]), AuthorCompany(id=1171733772736176557, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, xref=null, ext=[AuthorCompanyExt(id=1171733772752953774, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, companyId=1171733772736176557, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing 100176, China), AuthorCompanyExt(id=1171733772799091119, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, companyId=1171733772736176557, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.中国检验检疫科学研究院食品安全研究所, 北京 100176)])], figs=[ArticleFig(id=1171733774699110864, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=EN, label=Fig.1, caption=
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Preparation process of functionalized COF[44-47], figureFileSmall=n4X/clDYvRnl7FMeRS1GNQ==, figureFileBig=qsMX5Y+6UUG4ICHdYi8gsQ==, tableContent=null), ArticleFig(id=1171733775064015315, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=CN, label=图2, caption=
功能化COF制备流程[44-47] 注: 对苯二甲醛(1,4-phthalaldehyde, TPA); 乙酸(acetate acid, HAc)。
, figureFileSmall=n4X/clDYvRnl7FMeRS1GNQ==, figureFileBig=qsMX5Y+6UUG4ICHdYi8gsQ==, tableContent=null), ArticleFig(id=1171733775131124180, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=EN, label=Fig.3, caption=
Electrospray process of solid substrate[58], figureFileSmall=lm/ki1ErTC+VzD3FS/aSmg==, figureFileBig=toGwUyIAALuIFz2k/khkMw==, tableContent=null), ArticleFig(id=1171733775261147605, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=CN, label=图3, caption=
固体基底电喷雾法流程[58], figureFileSmall=lm/ki1ErTC+VzD3FS/aSmg==, figureFileBig=toGwUyIAALuIFz2k/khkMw==, tableContent=null), ArticleFig(id=1171733775319867862, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=EN, label=Table 1, caption=
Application of COFs in sonsors
, figureFileSmall=null, figureFileBig=null, tableContent=
| 传感器 | COFs | 目标物 | 样品基质 | 检出限 | 参考文献 |
| U盘电化学工作站 | TpBpy | ZEN | 玉米 | 0.389 pg/mL | [52] |
| GCE | TpBD | AFM1 | 牛奶 | 0.15 ng/mL | [53] |
| AuNPs-QCM | CTpBD | AFB1 | 花生、开心果、大米、小麦 | 2.8 pg/mL | [55] |
| Au-MB-Apt | TPB-DMTP | OTA | 玉米、燕麦 | 0.12 pg/mL | [56] |
| Tb3+荧光传感器 | Dpy-NhBt | OTA | 小麦 | 13.5 nmol/L | [57] |
), ArticleFig(id=1171733775399559639, tenantId=1146029695717560320, journalId=1149652044408987649, articleId=1153433740383605756, language=CN, label=表1, caption=
COFs材料在传感器中的应用
, figureFileSmall=null, figureFileBig=null, tableContent=
| 传感器 | COFs | 目标物 | 样品基质 | 检出限 | 参考文献 |
| U盘电化学工作站 | TpBpy | ZEN | 玉米 | 0.389 pg/mL | [52] |
| GCE | TpBD | AFM1 | 牛奶 | 0.15 ng/mL | [53] |
| AuNPs-QCM | CTpBD | AFB1 | 花生、开心果、大米、小麦 | 2.8 pg/mL | [55] |
| Au-MB-Apt | TPB-DMTP | OTA | 玉米、燕麦 | 0.12 pg/mL | [56] |
| Tb3+荧光传感器 | Dpy-NhBt | OTA | 小麦 | 13.5 nmol/L | [57] |
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