Article(id=1297161222244295146, tenantId=1146029695717560320, journalId=1296125381406982186, issueId=1297161216049308076, articleNumber=null, orderNo=null, doi=10.13550/j.jxhg.20250199, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1742572800000, receivedDateStr=2025-03-22, revisedDate=null, revisedDateStr=null, acceptedDate=1745856000000, acceptedDateStr=2025-04-29, onlineDate=1787196935473, onlineDateStr=2026-08-20, pubDate=1778774400000, pubDateStr=2026-05-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1787196935473, onlineIssueDateStr=2026-08-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1787196935473, creator=13701087609, updateTime=1787196935473, updator=13701087609, issue=Issue{id=1297161216049308076, tenantId=1146029695717560320, journalId=1296125381406982186, year='2026', volume='43', issue='5', pageStart='929', pageEnd='1184', issueExtLink='null', onlineDate='null', pubDate='1778774400000', pubDateStr='2026-05-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1787196933996, creator='13701087609', updateTime=1787202244949, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1297183491922354645, tenantId=1146029695717560320, journalId=1296125381406982186, issueId=1297161216049308076, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1297183491922354646, tenantId=1146029695717560320, journalId=1296125381406982186, issueId=1297161216049308076, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=939, endPage=949, ext={EN=ArticleExt(id=1297161222433038827, articleId=1297161222244295146, tenantId=1146029695717560320, journalId=1296125381406982186, language=EN, title=Advances in nitrite detection by electrochemical sensors of carbon nanomaterials, columnId=null, journalTitle=Fine Chemicals, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Nitrite has been widely used in many fields, and its accurate detection is crucial due to the fact that excessive intake of nitrite is hazardous to human health. Traditional detection methods have disadvantages such as high cost and long detection time. Electrochemical sensors have become a research hotspot due to their advantages of low detection limit, rapid response and low cost. Herein, the research progress on electrochemical sensors modified with carbon nanomaterials in nitrite detection was reviewed. The unique advantages of carbon-based materials such as graphene, carbon nanotubes, carbon nanofibers, carbon dots, nanoporous carbon, metal-organic frameworks and biochar were emphatically analyzed, and their large specific surface area, excellent electrical conductivity and surface active sites significantly enhanced the electrocatalytic activity and electron transfer kinetics of the sensor. Functionalization strategies such as heteroatom doping, metal nanoparticle loading and polymer composite further endowed the material with specific recognition ability, making the detection limit generally reach the μmol level. Some sensors demonstrated good recovery rates and anti-interference capabilities in the detection of actual samples, such as water samples and food. However, these technologies are still facing challenges such as complex preparation processes, easy shedding of active materials, significant ionic interference in complex matrices, and insufficient long-term stability. Future research should focus on constructing multi-dimensional composite systems, developing controllable synthesis technologies such as in-situ growth and laser engraving, combining molecular imprinting techniques to enhance selectivity, and promoting cross-integration with artificial intelligence and sustainable materials to break through performance bottlenecks and provide efficient and reliable technical support for food safety monitoring and environmental pollution prevention and control.

, authors=Tong ZHANG^{1, 2}, Yanyan HE^{1, 2}, Hao ZHANG^{1, 2}, Jinling LI^{1, 2, *}, Shuyan HAN^{1, 2, *}, Huitao LIU^{1, 2, *}, authorsList=Tong ZHANG, Yanyan HE, Hao ZHANG, Jinling LI, Shuyan HAN, Huitao LIU, authorCompany=null, correspAuthors=Jinling LI, Shuyan HAN, Huitao LIU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1297161222781166060, articleId=1297161222244295146, tenantId=1146029695717560320, journalId=1296125381406982186, language=CN, title=碳纳米材料电化学传感器检测亚硝酸盐的研究进展, columnId=1297161216951083438, journalTitle=精细化工, columnName=综论, runingTitle=null, highlight=null, articleAbstract=

亚硝酸盐广泛应用于多个领域，但过量摄入会危害人体健康，因此精准检测至关重要。传统检测方法存在成本高、检测时间长等缺点，电化学传感器因其检测限低、响应快速和成本低等优势成为研究热点。该文综述了碳纳米材料修饰的电化学传感器在亚硝酸盐检测中的研究进展，重点分析了石墨烯、碳纳米管、碳纳米纤维、碳点、纳米多孔碳、金属有机框架及生物炭等碳基材料的独特优势，其大的比表面积、优异的导电性和表面活性位点显著提升了传感器的电催化活性和电子转移动力学，杂原子掺杂、金属纳米颗粒负载、聚合物复合等功能化策略进一步赋予了材料的特异性识别能力，使检出限普遍达到μmol级，部分传感器在实际样品，如水样、食品等检测中展现出良好的回收率和抗干扰性。但这些技术仍面临制备工艺复杂、活性材料易脱落、复杂基质中离子干扰显著及长期稳定性不足等挑战。未来研究可聚焦于构建多维度复合体系、开发原位生长与激光雕刻等可控合成技术、结合分子印迹技术增强选择性，同时推动与人工智能和可持续材料的交叉融合，以突破性能瓶颈，为食品安全监控和环境污染防控提供高效可靠的技术支撑。

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张童（2000—），女，硕士生，E-mail: zhangtong1077@163.com。

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张童（2000—），女，硕士生，E-mail: zhangtong1077@163.com。

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