{"title":"Poly(p-Phenyleneethynylene)s-Based Sensor Array for Diagnosis of Clinical Diseases.","authors":"Yongbin Kuang, Weiwei Ni, Han Liu, Jinsong Han","doi":"10.1002/cmdc.202400686","DOIUrl":null,"url":null,"abstract":"<p><p>Inspired by the mammalian taste and olfactory systems, array-based pattern recognition technology has demonstrated significant potential in discerning subtle differences between highly similar compounds and complex mixtures, owing to their unique parallel detection mechanism based on cross-reactive signals. While optical sensor array has been extensively employed in the field of chemical sensing, they encounter significant challenges in non-specific recognition of multiple analytes at low concentrations, particularly in rife environments with complex interferences. Poly(p-phenylene ethynylene)s (PPEs) offer substantial advantages in detecting multi-analytes at low concentrations, owing to its distinctive optical properties, including the \"molecular wire\" effect, fluorescence super-amplification and super-quenching. This is particularly promising for the parallel detection of ultra-low concentration multi-biomarkers in clinical diseases. As the continuous development of PPEs sensor array, more sensitive methods for rapid detection of clinical disease will be further developed. It will promote the further development of the field of early diagnosis of clinical diseases.</p>","PeriodicalId":147,"journal":{"name":"ChemMedChem","volume":" ","pages":"e202400686"},"PeriodicalIF":3.6000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ChemMedChem","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/cmdc.202400686","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Inspired by the mammalian taste and olfactory systems, array-based pattern recognition technology has demonstrated significant potential in discerning subtle differences between highly similar compounds and complex mixtures, owing to their unique parallel detection mechanism based on cross-reactive signals. While optical sensor array has been extensively employed in the field of chemical sensing, they encounter significant challenges in non-specific recognition of multiple analytes at low concentrations, particularly in rife environments with complex interferences. Poly(p-phenylene ethynylene)s (PPEs) offer substantial advantages in detecting multi-analytes at low concentrations, owing to its distinctive optical properties, including the "molecular wire" effect, fluorescence super-amplification and super-quenching. This is particularly promising for the parallel detection of ultra-low concentration multi-biomarkers in clinical diseases. As the continuous development of PPEs sensor array, more sensitive methods for rapid detection of clinical disease will be further developed. It will promote the further development of the field of early diagnosis of clinical diseases.
受哺乳动物味觉和嗅觉系统的启发,基于阵列的模式识别技术在辨别高度相似的化合物和复杂混合物之间的细微差别方面展现出巨大潜力,这得益于其基于交叉反应信号的独特并行检测机制。虽然光学传感器阵列已被广泛应用于化学传感领域,但它们在低浓度多种分析物的非特异性识别方面遇到了巨大挑战,尤其是在充满复杂干扰的环境中。聚对苯二甲酰乙炔(PPE)具有独特的光学特性,包括 "分子线 "效应、荧光超放大和超淬灭,因此在低浓度检测多种分析物方面具有很大的优势。这对于并行检测临床疾病中的超低浓度多生物标记物尤其具有前景。随着 PPE 传感器阵列的不断发展,将进一步开发出更灵敏的临床疾病快速检测方法。这将促进临床疾病早期诊断领域的进一步发展。
期刊介绍:
Quality research. Outstanding publications. With an impact factor of 3.124 (2019), ChemMedChem is a top journal for research at the interface of chemistry, biology and medicine. It is published on behalf of Chemistry Europe, an association of 16 European chemical societies.
ChemMedChem publishes primary as well as critical secondary and tertiary information from authors across and for the world. Its mission is to integrate the wide and flourishing field of medicinal and pharmaceutical sciences, ranging from drug design and discovery to drug development and delivery, from molecular modeling to combinatorial chemistry, from target validation to lead generation and ADMET studies. ChemMedChem typically covers topics on small molecules, therapeutic macromolecules, peptides, peptidomimetics, and aptamers, protein-drug conjugates, nucleic acid therapies, and beginning 2017, nanomedicine, particularly 1) targeted nanodelivery, 2) theranostic nanoparticles, and 3) nanodrugs.
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