{"title":"光学传感器阵列的金属-有机框架","authors":"Xin Zhang, Yuanjing Cui, Guodong Qian","doi":"10.1016/j.pmatsci.2025.101507","DOIUrl":null,"url":null,"abstract":"<div><div>Precisely identifying subtle structural distinctions among various analytes remains a crucial yet difficult endeavor, primarily due to their extensive diversity, structural resemblance, and the potential for mutual interference. Traditional sensors, which operate on the “lock-and-key” principle, offer high selectivity and specificity for detecting particular analytes. However, this design makes them unsuitable for the simultaneous detection of multiple analytes. Metal-organic frameworks (MOFs) have attracted considerable interest in the realm of optical sensor arrays due to their diverse metal nodes and ligands, as well as the guest species that can be encapsulated within their channels or pores. This versatility makes MOFs highly advantageous for developing multi-channel single-sensing-element sensor arrays. The primary emphasis of this comprehensive review is on the intrinsic structure-performance relationship and development status of MOF-based optical sensor arrays. First, this review offers a concise explanation of the underlying theory and operational steps involved in optical sensor arrays. Second, the construction strategies for cross-reactive sensing elements are thoroughly presented. Third, the applications of MOF-based optical sensor arrays in identifying and detecting target analytes are explored comprehensively. This includes their use in environmental monitoring, disease diagnosis, food quality assessment, and the analysis of complex systems. Finally, the existing limitations and future research opportunities concerning MOF-based optical sensor arrays are thoroughly examined.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"154 ","pages":"Article 101507"},"PeriodicalIF":33.6000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metal-Organic frameworks for optical sensor arrays\",\"authors\":\"Xin Zhang, Yuanjing Cui, Guodong Qian\",\"doi\":\"10.1016/j.pmatsci.2025.101507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Precisely identifying subtle structural distinctions among various analytes remains a crucial yet difficult endeavor, primarily due to their extensive diversity, structural resemblance, and the potential for mutual interference. Traditional sensors, which operate on the “lock-and-key” principle, offer high selectivity and specificity for detecting particular analytes. However, this design makes them unsuitable for the simultaneous detection of multiple analytes. Metal-organic frameworks (MOFs) have attracted considerable interest in the realm of optical sensor arrays due to their diverse metal nodes and ligands, as well as the guest species that can be encapsulated within their channels or pores. This versatility makes MOFs highly advantageous for developing multi-channel single-sensing-element sensor arrays. The primary emphasis of this comprehensive review is on the intrinsic structure-performance relationship and development status of MOF-based optical sensor arrays. First, this review offers a concise explanation of the underlying theory and operational steps involved in optical sensor arrays. Second, the construction strategies for cross-reactive sensing elements are thoroughly presented. Third, the applications of MOF-based optical sensor arrays in identifying and detecting target analytes are explored comprehensively. This includes their use in environmental monitoring, disease diagnosis, food quality assessment, and the analysis of complex systems. Finally, the existing limitations and future research opportunities concerning MOF-based optical sensor arrays are thoroughly examined.</div></div>\",\"PeriodicalId\":411,\"journal\":{\"name\":\"Progress in Materials Science\",\"volume\":\"154 \",\"pages\":\"Article 101507\"},\"PeriodicalIF\":33.6000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Materials Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0079642525000854\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079642525000854","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Metal-Organic frameworks for optical sensor arrays
Precisely identifying subtle structural distinctions among various analytes remains a crucial yet difficult endeavor, primarily due to their extensive diversity, structural resemblance, and the potential for mutual interference. Traditional sensors, which operate on the “lock-and-key” principle, offer high selectivity and specificity for detecting particular analytes. However, this design makes them unsuitable for the simultaneous detection of multiple analytes. Metal-organic frameworks (MOFs) have attracted considerable interest in the realm of optical sensor arrays due to their diverse metal nodes and ligands, as well as the guest species that can be encapsulated within their channels or pores. This versatility makes MOFs highly advantageous for developing multi-channel single-sensing-element sensor arrays. The primary emphasis of this comprehensive review is on the intrinsic structure-performance relationship and development status of MOF-based optical sensor arrays. First, this review offers a concise explanation of the underlying theory and operational steps involved in optical sensor arrays. Second, the construction strategies for cross-reactive sensing elements are thoroughly presented. Third, the applications of MOF-based optical sensor arrays in identifying and detecting target analytes are explored comprehensively. This includes their use in environmental monitoring, disease diagnosis, food quality assessment, and the analysis of complex systems. Finally, the existing limitations and future research opportunities concerning MOF-based optical sensor arrays are thoroughly examined.
期刊介绍:
Progress in Materials Science is a journal that publishes authoritative and critical reviews of recent advances in the science of materials. The focus of the journal is on the fundamental aspects of materials science, particularly those concerning microstructure and nanostructure and their relationship to properties. Emphasis is also placed on the thermodynamics, kinetics, mechanisms, and modeling of processes within materials, as well as the understanding of material properties in engineering and other applications.
The journal welcomes reviews from authors who are active leaders in the field of materials science and have a strong scientific track record. Materials of interest include metallic, ceramic, polymeric, biological, medical, and composite materials in all forms.
Manuscripts submitted to Progress in Materials Science are generally longer than those found in other research journals. While the focus is on invited reviews, interested authors may submit a proposal for consideration. Non-invited manuscripts are required to be preceded by the submission of a proposal. Authors publishing in Progress in Materials Science have the option to publish their research via subscription or open access. Open access publication requires the author or research funder to meet a publication fee (APC).
Abstracting and indexing services for Progress in Materials Science include Current Contents, Science Citation Index Expanded, Materials Science Citation Index, Chemical Abstracts, Engineering Index, INSPEC, and Scopus.