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Recent advances in metal–organic framework/biomolecule hybrids for biomarker detection and bioimaging 用于生物标志物检测和生物成像的金属-有机骨架/生物分子杂合体的最新进展
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-05 DOI: 10.1016/j.trac.2025.118597
Huafeng Wang , You Wu , Xinyi Wang , Fan Wu , Wenwen Tu , Wei Li , Zhihui Dai
Metal–organic frameworks (MOFs) with structural tunability, high porosity, and rich coordination chemistry, have emerged as versatile scaffolds for integrating biomolecules (DNA, enzymes, peptides, etc.) into functional MOF/biomolecule hybrids. These hybrids demonstrate growing potential in biomarker detection and bioimaging through synergistic molecular recognition and signal transduction. This review summarizes recent advances in MOF/biomolecule hybrid construction strategies, including surface adsorption, pore encapsulation, covalent binding, and biomimetic mineralization. We dissect key physicochemical parameters determining diagnostic performance, emphasizing the importance of spatial organization and rational design for molecular recognition, signal amplification, and imaging. Particular attention is given to the applications in biomarker detection (electrochemical, optical, multimodal, etc.) and bioimaging (fluorescence, electrochemiluminescence, and multimodal strategies, etc.). Importantly, a critical outlook on current challenges and future directions is presented. This review provides an integrated perspective of MOF/biomolecule hybrids, which aims to inspire further innovation in materials science, biotechnology, and precision diagnostics.
金属有机框架(MOF)具有结构可调性、高孔隙度和丰富的配位化学性质,是将生物分子(DNA、酶、肽等)整合成功能性MOF/生物分子杂合体的多功能支架。这些杂交体通过协同分子识别和信号转导在生物标志物检测和生物成像方面显示出越来越大的潜力。本文综述了近年来MOF/生物分子杂化构建策略的研究进展,包括表面吸附、孔包封、共价结合和仿生矿化。我们剖析了决定诊断性能的关键物理化学参数,强调空间组织和合理设计对分子识别、信号放大和成像的重要性。特别关注生物标志物检测(电化学、光学、多模态等)和生物成像(荧光、电化学发光和多模态策略等)的应用。重要的是,对当前的挑战和未来的方向提出了批判性的展望。本文综述了MOF/生物分子杂合物的综合研究前景,以期对材料科学、生物技术和精密诊断等领域的进一步创新提供启示。
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引用次数: 0
CRISPR-cas diagnostics (CRISPR-Dx) of viral pathogens in low and limited resource areas: Current state and future directions 低资源和有限资源地区的病毒病原体的CRISPR-cas诊断(CRISPR-Dx):现状和未来方向
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-05 DOI: 10.1016/j.trac.2025.118590
Prosad Kumar Das , Meghali Aich , Patrick Adu , Vishal Bharti , Souvik Maiti , Debojyoti Chakraborty
CRISPR-Cas proteins are programmable nucleases with diverse applications, including highly sensitive and specific nucleic acid detection. These attributes have made them invaluable in nucleic acid-based diagnostics and biosensing technologies. Among pathogenic agents, viral pathogens are responsible for significant disease outbreaks, necessitating rapid and cost-effective diagnostic methods. During the COVID-19 pandemic, CRISPR-Dx diagnostic kits gained widespread use due to their affordability, sensitivity, and ease of deployment. Despite their suitability for viral diagnostics, existing CRISPR-Dx methods face certain limitations, particularly in low-resource settings and for rapidly mutating viruses. This review highlights the current utility of CRISPR-Dx assays for virus detection in resource-constrained environments and discusses integrative strategies to enhance their broad applicability for future applications.
CRISPR-Cas蛋白是具有多种应用的可编程核酸酶,包括高灵敏度和特异性核酸检测。这些特性使它们在基于核酸的诊断和生物传感技术中具有不可估量的价值。在致病因子中,病毒性病原体是造成重大疾病暴发的原因,因此需要快速和具有成本效益的诊断方法。在2019冠状病毒病大流行期间,CRISPR-Dx诊断试剂盒因其价格合理、灵敏度高、易于部署而得到广泛使用。尽管现有的CRISPR-Dx方法适用于病毒诊断,但它们面临一定的局限性,特别是在资源匮乏的环境和快速变异的病毒中。这篇综述强调了目前CRISPR-Dx检测方法在资源受限环境中的应用,并讨论了综合策略,以增强其在未来应用中的广泛适用性。
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引用次数: 0
Miniature mass spectrometry in drug and food analysis: Bridging laboratory and field applications 药物和食品分析中的微型质谱:连接实验室和现场应用
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-05 DOI: 10.1016/j.trac.2025.118594
Yanqiao Xie , Liying You , Xingyu Wang, Yingmin Zhang, Zhengtao Wang, Linnan Li, Li Yang
Rapid globalization and evolving consumption patterns challenge drug and food safety, creating an urgent need for robust and on-site analytical systems. Portable technologies, especially miniature mass spectrometry (mini MS), meet this demand by providing real-time, in-field detection. The strength of mini MS lies in its portability, rapid analysis, and versatile ionization techniques, which facilitate all analytical steps from sampling to data processing on-site. This review details recent advancements in MS miniaturization, including fundamental instrument components and their optimizations for the challenges faced in practical applications. It also summarizes expanding applications in pharmaceutical and food safety, encompassing therapeutic drug monitoring, illicit drug screening, quality control of herbal medicines and safety assessments across the food supply chain. By offering insights into future developments, this review aims to be a key technical reference to advance innovation in precision analysis.
快速的全球化和不断变化的消费模式对药品和食品安全提出了挑战,迫切需要强大的现场分析系统。便携式技术,特别是微型质谱(mini MS),通过提供实时的现场检测来满足这一需求。mini MS的优势在于其便携性,快速分析和多功能电离技术,方便从采样到现场数据处理的所有分析步骤。本文详细介绍了质谱小型化的最新进展,包括基本仪器组件及其在实际应用中面临的挑战的优化。它还总结了在制药和食品安全方面不断扩大的应用,包括治疗药物监测、非法药物筛选、草药质量控制和整个食品供应链的安全评估。通过提供对未来发展的见解,本综述旨在成为推进精密分析创新的关键技术参考。
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引用次数: 0
Miniaturized photoelectrochemical bioanalysis 小型化光电化学生物分析
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-05 DOI: 10.1016/j.trac.2025.118595
Yuanqiang Hao , Qiuqiu Lu , Yuan-Cheng Zhu , Feng-Zao Chen , Hui-Min Jia , Shu Chen , Wei-Wei Zhao
Photoelectrochemical (PEC) bioanalysis has emerged as a powerful and versatile technique for chemical and biological sensing, owing to its unique combination of light-driven excitation and electrochemical signal transduction. The recent integration of miniaturized electrodes, including micro- and nanoscale architectures, into PEC platforms has significantly enhanced analytical performance by improving mass transport, spatial resolution, and enabling minimally invasive access to confined environments. This review comprehensively summarizes recent progress in micro/nanoelectrode-based PEC sensors. We first categorize typical miniaturized electrode platforms—including optical fibers, metal wires, carbon microelectrodes, nanopipettes, and hydrogel wires—and summarize photoactive interface engineering strategies. Signal transduction mechanisms are then discussed, focusing on how analyte recognition modulates interfacial charge‐transfer pathways and PEC output. Subsequently, we highlight representative applications of miniaturized PEC biosensors in biofluid analysis, intracellular sensing, and in vivo monitoring. Finally, current challenges and future perspectives are outlined, including further miniaturization, development of advanced photoactive materials, enhancement of signal responsiveness, and broadening of applications.
光电化学(PEC)生物分析由于其独特的光驱动激发和电化学信号转导的结合,已成为一种强大而通用的化学和生物传感技术。最近将微型电极(包括微纳米结构)集成到PEC平台中,通过改善质量传输、空间分辨率和实现对受限环境的微创访问,显著提高了分析性能。本文综述了近年来微纳电极型PEC传感器的研究进展。我们首先对典型的小型化电极平台进行了分类,包括光纤、金属线、碳微电极、纳米吸管和水凝胶线,并总结了光活性界面工程策略。然后讨论了信号转导机制,重点是分析物识别如何调节界面电荷转移途径和PEC输出。随后,我们重点介绍了微型PEC生物传感器在生物流体分析、细胞内传感和体内监测方面的代表性应用。最后,概述了当前面临的挑战和未来的展望,包括进一步小型化、先进光活性材料的发展、信号响应性的增强和应用的扩大。
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引用次数: 0
Detection and impact assessment of polylactic acid microplastics in aquatic and sediment systems: Advances in analytical techniques 水生和沉积物系统中聚乳酸微塑料的检测和影响评价:分析技术的进展
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-05 DOI: 10.1016/j.trac.2025.118601
Praveen Ramakrishnan , Abdulkadhar Mohamed Jalaludeen , Nooruddin Thajuddin , Saravanan Rajendran , Saranya Vinayagam , Rajaram Rajamohan , Thanigaivel Sundaram
The increasing presence of polylactic acid (PLA) microplastics (MPs) in aquatic and sediment environments necessitates advanced analytical approaches to monitor their distribution and environmental impacts. This review presents recent advancements in the detection, quantification, and analysis of PLA MPs, with emphasis on spectroscopic, thermo-analytical, and chromatographic methods. Applications in environmental monitoring, including sampling techniques and the spatial distribution of PLA MPs are discussed, along with their ecological implications. The challenges of standardisation of analytical protocols and the role of PLA MPs as vectors for pollutants were examined. Furthermore, this review highlights innovative solutions, including nondestructive techniques, machine learning integration, and enhanced sensitivity for nanoplastic detection. These developments underscore the importance of harmonised methodologies for effective environmental monitoring and pollution mitigation. By addressing the existing challenges and exploring future directions, this study contributes to a comprehensive understanding of the role of PLA MPs in aquatic and sediment ecosystems.
聚乳酸(PLA)微塑料(MPs)在水生和沉积物环境中的存在越来越多,需要先进的分析方法来监测其分布和环境影响。本文综述了PLA MPs的检测、定量和分析的最新进展,重点介绍了光谱、热分析和色谱方法。讨论了聚乳酸MPs在环境监测中的应用,包括采样技术和空间分布,以及它们的生态影响。分析方案标准化的挑战和PLA MPs作为污染物载体的作用进行了研究。此外,这篇综述强调了创新的解决方案,包括无损技术、机器学习集成和提高纳米塑料检测的灵敏度。这些发展突出了统一方法对有效的环境监测和减轻污染的重要性。通过解决现有的挑战和探索未来的方向,本研究有助于全面了解PLA MPs在水生和沉积物生态系统中的作用。
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引用次数: 0
Covalent organic frameworks for next-generation biomedicine: from rational design to multimodal theranostics 下一代生物医学的共价有机框架:从理性设计到多模式治疗
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-04 DOI: 10.1016/j.trac.2025.118598
Xu Zhao , Jia-Jun Qian , Jing-Xuan Guo , Yan-Jun Jin , Li-Jian Chen , Xiu-Ping Yan
Covalent organic frameworks (COFs) are a class of emerging multifunctional organic materials that offer advantages such as facile synthesis, tunable mesoporous structures, excellent biocompatibility, and abundant functional sites. These features have made COFs highly promising for a wide range of applications, particularly in the biomedical field. In recent years, COFs have demonstrated extraordinary potential in targeted drug delivery, photothermal therapy, photodynamic therapy, chemodynamic therapy, sonodynamic therapy, synergistic therapy as well as theranostics. This review summarizes the latest advances in the biomedical applications of COFs. It also critically discusses the challenges and opportunities in this field. We aim to provide a deeper understanding of the biomedical potential of COFs, offer theoretical guidance for the construction of high-performance COF-based platforms, and promote their future clinical translation.
共价有机骨架(COFs)是一类新兴的多功能有机材料,具有合成方便、介孔结构可调、生物相容性好、功能位点丰富等优点。这些特性使得COFs具有广泛的应用前景,特别是在生物医学领域。近年来,COFs在靶向给药、光热治疗、光动力治疗、化学动力治疗、声动力治疗、协同治疗以及治疗学等方面显示出非凡的潜力。本文综述了COFs生物医学应用的最新进展。它还批判性地讨论了这一领域的挑战和机遇。我们的目标是更深入地了解cof的生物医学潜力,为构建高性能的cof平台提供理论指导,并促进其未来的临床转化。
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引用次数: 0
Advances in point-of-care testing based on microfluidic chips towards small molecular biomarkers 面向小分子生物标志物的微流控芯片即时检测研究进展
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-04 DOI: 10.1016/j.trac.2025.118596
Wanting Hu , Yan Zhao , Huibo Qi , Hua Sun , Yuanyuan Xie , Yu Wang , Qionglin Liang
Small molecule biomarkers are the terminal products of gene expression. Their presence or concentration changes are more directly associated with observable phenotypes, including disease states, than biomolecules reflecting genetic potential or intermediate biological processes. Microfluidic chips, as powerful tools, facilitate point-of-care testing (POCT) for these markers, providing rapid, accurate, and multiplexed detection. In this review, we summarize advances in POCT based on microfluidic chips for small molecule biomarkers. First, we discuss the substrates of microfluidic chips, including polydimethylsiloxane-based, paper-based, and wearable, as well as the detection technologies. Then, we summarize the current applications in medical diagnosis, drug testing, environmental monitoring, and public safety. Next, the integration of AI and POCT based on microfluidics may provide a new paradigm. Finally, we discuss current challenges and prospects. In summary, POCT based on microfluidic chips for small molecule biomarkers enables rapid, accurate, and convenient detection, overcoming spatial limitations and advancing analytical methods.
小分子生物标志物是基因表达的终端产物。与反映遗传潜力或中间生物过程的生物分子相比,它们的存在或浓度变化与可观察到的表型(包括疾病状态)更直接相关。微流控芯片,作为强大的工具,促进点护理测试(POCT)这些标记,提供快速,准确,多路检测。本文就基于微流控芯片的POCT小分子生物标志物研究进展进行综述。首先,我们讨论了微流控芯片的衬底,包括聚二甲基硅氧烷基、纸质基和可穿戴基,以及检测技术。然后,我们总结了目前在医疗诊断、药物检测、环境监测和公共安全方面的应用。接下来,基于微流控的人工智能与POCT的融合可能会提供一个新的范例。最后,讨论了当前面临的挑战和前景。综上所述,基于微流控芯片的POCT小分子生物标志物检测能够实现快速、准确、便捷的检测,克服了空间限制,推进了分析方法的发展。
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引用次数: 0
Progress in the preparation of advanced molecularly imprinted polymers via surface template-anchoring methods 表面模板锚定法制备高级分子印迹聚合物的研究进展
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-03 DOI: 10.1016/j.trac.2025.118591
Yifan Zhang, Huiqi Zhang, Linqi Shi
Recent years have witnessed tremendous efforts devoted to addressing some inherent defects associated with the traditional molecularly imprinted polymers (MIPs) such as low molecular imprinting efficiency and heterogeneous binding sites as well as challenging issues of imprinting large templates (e.g., proteins, cells, viruses), which have revolutionized the molecular imprinting field and paved the way for the real-world use of MIPs in various bioanalytical and biomedical applications. In this article, we present a comprehensive overview of the progress made in the development of advanced MIPs with high imprinting efficiency and surface-exposed easily accessible homogeneous binding sites for both small and large templates via several surface template-anchoring methods including molecular imprinting with template anchoring onto sacrificial substrate strategy, controlled surface imprinting with template-anchoring strategy, and solid-phase imprinting strategy. The pros and cons of each synthetic strategy are discussed and the present challenges and future perspectives in this field are also highlighted.
近年来,人们致力于解决与传统分子印迹聚合物(MIPs)相关的一些固有缺陷,如低分子印迹效率和异质结合位点,以及印迹大模板(如蛋白质、细胞、病毒)的挑战性问题,这些问题彻底改变了分子印迹领域,为MIPs在各种生物分析和生物医学应用中的实际应用铺平了道路。在本文中,我们全面概述了通过几种表面模板锚定方法,包括模板锚定在牺牲底物上的分子锚定策略、模板锚定策略控制的表面锚定策略和固相锚定策略,在开发具有高印迹效率和表面暴露易于接近的小模板和大模板均质结合位点的高级MIPs方面取得的进展。讨论了每种综合战略的利弊,并强调了该领域目前面临的挑战和未来的前景。
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引用次数: 0
Advances and challenges in the application of artificial intelligence to medical biosensing technology: A review 人工智能在医学生物传感技术中的应用进展与挑战
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-02 DOI: 10.1016/j.trac.2025.118592
Qinyao Lei , Yuanyuan Zou , Jiasheng Yan , Jie Cheng , Jinhong Guo , Diangeng Li
In recent years, biosensing technologies have gained increasing attention for their roles in health monitoring and disease diagnosis. However, challenges such as complex background noise and signal analysis limit their broader application. Artificial intelligence (AI), particularly machine learning (ML), shows strong promise to address these issues. This review overviews widely used traditional ML algorithms and deep learning models in biosensing, summarizing advances in neural network architectures and highlighting techniques such as data augmentation, fusion, and transfer learning that support model optimization for biosensing tasks. We further examine AI applications in electrochemical, colorimetric, surface-enhanced Raman spectroscopy (SERS), and fluorescence sensing, focusing on recent progress in health monitoring, disease diagnosis, short-term glucose prediction, and virtual fluorescence staining. Finally, we discuss the challenges of integrating ML into biosensing and offer perspectives on potential solutions, aiming to provide valuable guidance for the future development of AI-driven biosensing technologies.
近年来,生物传感技术因其在健康监测和疾病诊断中的作用而受到越来越多的关注。然而,复杂的背景噪声和信号分析等挑战限制了它们的广泛应用。人工智能(AI),特别是机器学习(ML),显示出解决这些问题的强大希望。本文概述了生物传感中广泛使用的传统ML算法和深度学习模型,总结了神经网络架构的进展,并重点介绍了支持生物传感任务模型优化的数据增强、融合和迁移学习等技术。我们进一步研究了人工智能在电化学、比色、表面增强拉曼光谱(SERS)和荧光传感方面的应用,重点介绍了人工智能在健康监测、疾病诊断、短期血糖预测和虚拟荧光染色方面的最新进展。最后,我们讨论了将机器学习集成到生物传感中的挑战,并提供了潜在解决方案的观点,旨在为人工智能驱动的生物传感技术的未来发展提供有价值的指导。
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引用次数: 0
Recent advances in synchrotron-based spectroscopy for organic contaminant analysis 基于同步加速器的有机污染物分析光谱研究进展
IF 12 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-02 DOI: 10.1016/j.trac.2025.118589
Gobinath Chandrakasan , Siwatt Pongpiachan , Gabriel Marcus , Genaro Martin Soto Zarazua
This review highlights recent advances in synchrotron radiation (SR) based analytical techniques for investigating the occurrence, transformation, environmental fate of organic contaminants (OC). SR-FTIR achieves <10μm spatial resolution for molecular speciation in the mid-IR range (4000-400 cm−1); XAS covers 4–35 keV, revealing elemental oxidation states and coordination environments; XRF microscopy detects trace elements down to ppm levels with spatial resolutions of a few tens of micrometers; STXM-NEXAFS enables sub-micron (≈50nm) analysis of light elements (C, N, O); and X-ray tomography offers non-destructive 3D structural imaging. This review shows multi-scale environmental analysis, demonstrating how combining spectroscopic, imaging approaches enables precise tracking of contaminants-microplastics, pharmaceuticals, hydrocarbons, persistent organic pollutants, heavy metals within complex matrices (soil, sediments, water, and air) with high spatial resolution, chemical specificity, and sensitivity. This cross-disciplinary perspective serves as a practical guide for environmental scientists seeking to fully the analytical capabilities of synchrotron facilities.
本文综述了基于同步辐射(SR)的分析技术在有机污染物(OC)的发生、转化和环境命运研究中的最新进展。SR-FTIR在中红外范围内(4000-400 cm−1)分子形态的空间分辨率达到了10μm;XAS覆盖4-35 keV,揭示元素氧化态和配位环境;XRF显微镜检测微量元素低至ppm水平,空间分辨率为几十微米;STXM-NEXAFS能够亚微米(≈50nm)分析轻元素(C, N, O);x射线断层扫描提供非破坏性的3D结构成像。这篇综述展示了多尺度环境分析,展示了如何结合光谱、成像方法来精确跟踪复杂基质(土壤、沉积物、水和空气)中的污染物——微塑料、药物、碳氢化合物、持久性有机污染物、重金属——具有高空间分辨率、化学特异性和灵敏度。这种跨学科的观点为环境科学家寻求充分利用同步加速器设施的分析能力提供了实用指南。
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引用次数: 0
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Trends in Analytical Chemistry
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