Trends in Analytical Chemistry最新文献_第3页

Immunoassay-based approaches for multiplex detection: A review of pesticide residues in food and water matrices 基于免疫分析的多重检测方法：食品和水基质中农药残留的综述

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.trac.2026.118727

Fei Yu , Fanting Wang , Eunice Y. Kwon , Xiaofan Ruan , Yuehe Lin , Dan Du , Bernard J. Van Wie

The use of pesticides is integral to modern agriculture for managing pests, mitigating diseases, and securing harvest output. As multiple pesticides and their residues can coexist in plant-based products, they may pose synergistic health risks to humans. Thus, the simultaneous detection of such compounds provides a more efficient strategy than single-component analysis for monitoring pesticide residues in food, thereby helping to ensure compliance with food quality and safety regulations. Immunoassay technology is widely employed for pesticide detection owing to its high specificity, sensitivity, portability, and cost-effectiveness. This review systematically covers major multiplex immunoassay strategies, including microarray immunoassays, immunochromatographic assays, flow injection immunoassays, and multi-label immunoassays. It focuses on their application for the simultaneous analysis of pesticide residues in various matrices, such as water and diverse food products including fruits, vegetables, grain, and the processed derivatives. Furthermore, the current challenges and future research trajectories for developing automated, portable, highly sensitive, and high-throughput multiplex detection platforms are discussed.

农药的使用是现代农业管理病虫害、减轻疾病和确保收成的组成部分。由于多种农药及其残留物可以共存于植物性产品中，它们可能对人类健康构成协同风险。因此，这类化合物的同时检测提供了一种比单组分分析更有效的策略来监测食品中的农药残留，从而有助于确保遵守食品质量和安全法规。免疫分析技术因其特异性高、灵敏度高、便携性好、成本效益高等特点，被广泛应用于农药检测。这篇综述系统地涵盖了主要的多重免疫分析策略，包括微阵列免疫分析、免疫层析分析、流动注射免疫分析和多标记免疫分析。重点介绍了它们在各种基质（如水和各种食品，包括水果、蔬菜、谷物及其加工衍生物）中农药残留的同时分析中的应用。此外，本文还讨论了自动化、便携式、高灵敏度和高通量多路检测平台目前面临的挑战和未来的研究轨迹。

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引用次数: 0

Methods for the detection and quantification of micro- and nano-plastic particles in the environment 环境中微、纳米塑料颗粒的检测与定量方法

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI: 10.1016/j.trac.2026.118682

Aisha Ilyas , Richard D. Webster

Microplastic pollution has emerged as a significant environmental concern, driving the need for reliable detection methodologies. This review provides a comprehensive overview of the current approaches used for microplastic analysis, including sampling strategies, sample treatment methods, and detection techniques. To ensure consistency and comparability across studies, standardized protocols for sampling, sample treatment, and detection are urgently needed. Sampling techniques vary depending on the environmental matrix, e.g., water, sediment, biota, and air. Sample treatment strategies, including digestion, oxidation, and enzymatic degradation, are essential for removing naturally occurring organic contaminants while preserving microplastic integrity. Density separation is often applied to remove the inorganic part of the matrix, and the final treatment step often involves a volume reduction method such as filtration to concentrate microplastics. However, these processes must be carefully optimized to minimize sample loss, degradation, and contamination from plastic apparatus. The review discusses the application of spectroscopic methods such as Fourier transform infrared (FTIR) spectroscopy and Raman spectroscopy that remain the most widely used techniques, while also describing emerging methods such as electrochemical studies, hyperspectral imaging, and terahertz spectroscopy. Mass spectrometry (MS) coupled approaches such as gas chromatography (GC-MS), pyrolysis GC-MS, liquid chromatography (LC-MS), and inductively coupled plasma (ICP-MS) that enable quantification are also covered in the following review.

微塑料污染已成为一个重大的环境问题，推动了对可靠检测方法的需求。本文综述了目前用于微塑性分析的方法，包括取样策略、样品处理方法和检测技术。为了确保研究之间的一致性和可比性，迫切需要标准化的采样、样品处理和检测方案。采样技术因环境基质而异，如水、沉积物、生物群和空气。样品处理策略，包括消化、氧化和酶降解，对于去除天然存在的有机污染物，同时保持微塑料的完整性是必不可少的。密度分离通常用于去除基体的无机部分，最后的处理步骤通常涉及体积缩小方法，如过滤以浓缩微塑料。然而，这些过程必须仔细优化，以尽量减少样品损失，降解和污染的塑料仪器。本文讨论了傅立叶变换红外光谱（FTIR）和拉曼光谱等光谱方法的应用，这些方法仍然是最广泛使用的技术，同时也描述了诸如电化学研究、高光谱成像和太赫兹光谱等新兴方法。质谱（MS）耦合方法，如气相色谱（GC-MS）、热解GC-MS、液相色谱（LC-MS）和电感耦合等离子体（ICP-MS），也将在以下综述中介绍。

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引用次数: 0

Stakeholder-centric perspectives on micro- and nanoplastic analysis: needs, gaps, and analytical capabilities 以利益相关者为中心的微观和纳米塑性分析视角：需求、差距和分析能力

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.trac.2026.118697

João Pinto da Costa , Ana Paço , Andy M. Booth , Jes Vollertsen , Alvise Vianello , Teresa Rocha-Santos

Micro- and nanoplastics are increasingly recognized as ubiquitous environmental contaminants with potential implications for ecological and human health. However, many knowledge gaps remain that inhibit comprehensive analyses of the existing data, and, typically, test materials used differ greatly in morphology, surface chemistry and composition from those occurring in the environment. Herein, a comprehensive, stakeholder-oriented evaluation of current analytical capabilities, data needs, and methodological limitations in the quantification of these materials is presented, drawing on the perspectives and needs of regulatory and monitoring authorities, industry, commercial laboratories, academic researchers, and public health organizations, among others.

We advocate for a multi-methodological framework tailored to matrix complexity and stakeholder objectives. Recommendations include prioritizing method harmonization, investing in high-throughput, cost-effective technologies, and fostering interdisciplinary collaboration to address persistent knowledge gaps. The development of open-access databases and standardized metadata reporting is emphasized as essential for enhancing data comparability and utility across sectors.

微塑料和纳米塑料越来越被认为是普遍存在的环境污染物，对生态和人类健康具有潜在影响。然而，许多知识空白仍然存在，阻碍了对现有数据的全面分析，并且，通常，所使用的测试材料在形态、表面化学和组成方面与环境中发生的材料有很大不同。本文根据监管和监测机构、工业、商业实验室、学术研究人员和公共卫生组织等方面的观点和需求，对这些材料量化的当前分析能力、数据需求和方法局限性进行了全面的、面向利益相关者的评估。我们提倡针对矩阵复杂性和利益相关者目标量身定制的多方法框架。建议包括优先协调方法，投资于高通量、高成本效益的技术，以及促进跨学科合作以解决持续存在的知识差距。强调开放获取数据库和标准化元数据报告的发展对于加强数据的可比性和跨部门的效用至关重要。

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引用次数: 0

Progress and trends in PET/NIRF-based dual-modality imaging probes 基于PET/ nif的双模成像探针的进展与趋势

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.trac.2026.118706

Xiang-Peng Li , Jiong-Cheng Wu , Chang-Hao Zhao , Hui-Ke Yang , Gao Zhang , Liang-Can He , Bo-Zhao Li , Wanhai Xu , Da-Yong Hou

The demand for precise clinical diagnosis and treatment monitoring has significantly contributed to the development of molecular imaging, providing a powerful tool for tumor imaging. However, the information provided by single-modal imaging techniques remains limited. By combining two complementary imaging technologies, dual-modality imaging offers more accurate diagnosis and research tools for diagnosis and treatment of tumors. This paper reviews the design strategies and progress of dual-modality imaging probes, particularly those incorporating near-infrared (NIR) or PET in combination with complementary imaging modalities, and introduces their recent biomedical applications in tumor diagnosis and treatment monitoring. In addition, we focus on chemical construction methods of probes, synergistic mechanisms of imaging, and in vivo metabolic properties, and analyze the current challenges and future development directions of clinical translation. Through interdisciplinary cooperation, the designed dual-modality probes are expected to play a key role in improving diagnostic efficiency of various complex diseases.

临床对精确诊断和治疗监测的需求极大地促进了分子影像学的发展，为肿瘤成像提供了有力的工具。然而，单模成像技术提供的信息仍然有限。双模成像结合了两种互补的成像技术，为肿瘤的诊断和治疗提供了更准确的诊断和研究工具。本文综述了双模成像探针的设计策略和进展，特别是将近红外（NIR）或PET与互补成像方式相结合的双模成像探针，并介绍了它们在肿瘤诊断和治疗监测方面的最新生物医学应用。此外，我们还重点介绍了探针的化学构建方法、成像的协同机制、体内代谢特性，并分析了临床翻译目前面临的挑战和未来的发展方向。通过跨学科合作，设计的双模探针有望在提高各种复杂疾病的诊断效率方面发挥关键作用。

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引用次数: 0

Microneedles biosensors for disease diagnosis: From fabrication to AI enhancement 用于疾病诊断的微针生物传感器：从制造到人工智能增强

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI: 10.1016/j.trac.2026.118731

Min Wu, Lei Liu

Early and accurate disease diagnosis is crucial for timely intervention and improved patient recovery. However, current diagnostic methods face significant technical challenges in enabling minimally invasive dynamic monitoring, and conventional sensors lack the ability to analyze large-scale datasets accurately and efficiently. Microneedles (MNs) technology, as a minimally invasive platform for biosensing, offers an innovative approach for biomarker monitoring when integrated with artificial intelligence (AI). Unlike existing reviews that broadly discuss AI applications in biosensing, this review focuses on the MNs biosensors, systematically analyzing material diversity, structural design innovations, and sensing mechanisms. We highlight how AI specifically address MNs-related challenges in high-dimensional biometric data processing, thereby significantly improving biosensing performance. Furthermore, we critically evaluate current bottlenecks and propose pathways for future development. This work provides a reference for the development of intelligent MNs biosensing, particularly in advancing the transformation of healthcare systems from passive detection to proactive, integrated diagnosis and treatment.

早期和准确的疾病诊断对于及时干预和改善患者康复至关重要。然而，目前的诊断方法在实现微创动态监测方面面临着重大的技术挑战，传统传感器缺乏准确有效地分析大规模数据集的能力。微针（MNs）技术作为一种微创生物传感平台，与人工智能（AI）相结合，为生物标志物监测提供了一种创新方法。与现有的广泛讨论人工智能在生物传感中的应用的综述不同，本综述侧重于MNs生物传感器，系统地分析了材料多样性、结构设计创新和传感机制。我们重点介绍了人工智能如何专门解决高维生物特征数据处理中与mns相关的挑战，从而显着提高生物传感性能。此外，我们批判性地评估当前的瓶颈，并提出未来发展的途径。这项工作为智能MNs生物传感的发展提供了参考，特别是在推进医疗系统从被动检测到主动、综合诊断和治疗的转变方面。

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引用次数: 0

Machine-learning assisted 2D field-effect transistors for intelligent biosensing and analysis 用于智能生物传感和分析的机器学习辅助二维场效应晶体管

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-30 DOI: 10.1016/j.trac.2026.118703

Yulin Ye , Hongwei Hou , Lei Yang , Jinghong Li

Two-dimensional (2D) materials enable field-effect transistor (FET) with atomic-scale channels, high carrier mobility, and strongly surface-dominated conduction, offering powerful platforms for biosensing and analysis. However, translating high-dimensional yet complex electrical signals from 2D material-based FET (2D FET) into reliable analytical outputs and decisions remains challenging. Machine learning (ML) provides a principled framework to handle non-linear responses, device-to-device variability, and high-dimensional datasets arising from multichannel and time-resolved measurements. This review introduces the principles of 2D FET sensing, including material/device architectures, transduction mechanisms, and key performance metrics. The integration of ML in 2D material design, device fabrication, and signal analytics is also discussed. Recent advances in biosensing small molecules, nucleic acids, proteins, neuromorphic activities and clinically health models are summarized. Key challenges in materials processing, interface chemistry, signal analytics, and translational deployment are finally discussed, underscoring the significance of integrating ML algorithms with advanced 2D FET sensors for next-generation health-care systems.

二维（2D）材料使场效应晶体管（FET）具有原子级通道、高载流子迁移率和强表面主导传导，为生物传感和分析提供了强大的平台。然而，将二维材料FET （2D FET）的高维复杂电信号转化为可靠的分析输出和决策仍然具有挑战性。机器学习（ML）提供了一个原则性框架来处理非线性响应、设备到设备的可变性以及由多通道和时间分辨率测量产生的高维数据集。本文介绍了二维FET传感的原理，包括材料/器件结构、转导机制和关键性能指标。本文还讨论了机器学习在二维材料设计、器件制造和信号分析中的集成。综述了生物传感小分子、核酸、蛋白质、神经形态活动和临床健康模型的最新进展。最后讨论了材料加工、界面化学、信号分析和转化部署方面的关键挑战，强调了将ML算法与先进的二维场效应晶体管传感器集成到下一代医疗保健系统中的重要性。

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引用次数: 0

Coordinated MOF-2D nanosheet hybrids: Bridging structural design and multifunctional biosensing/theragnostic applications 协调MOF-2D纳米片杂化物：桥接结构设计和多功能生物传感/诊断应用

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-30 DOI: 10.1016/j.trac.2026.118670

Seyed Morteza Naghib , Mohammad Ali Khorasani , Azam Bagheri Pebdeni , Fariborz Sharifianjazi , Ketevan Tavamaishvili

Coordinated metal-organic framework (MOF)-2D nanosheet hybrids represent a rapidly advancing class of multifunctional materials that bridge precise structural design with versatile biosensing and theranostic applications. This review comprehensively examines the synthesis strategies, coordination chemistry and unique physicochemical properties of MOF-2D nanosheets, emphasizing their role in enhancing sensitivity, selectivity and catalytic activity. We explore their stimuli-responsive behaviors enabling smart therapeutic activation, including controlled drug delivery, advanced imaging and photothermal therapy. The synergistic interplay between coordination sites and 2D nanosheet morphology is highlighted as a key factor driving superior biosensing performance and therapeutic efficacy. Additionally, we discuss current challenges related to stability, scalability and clinical translation, alongside emerging trends and next-generation designs poised to propel this field forward. This study offers crucial insights into the rational engineering of MOF-2D nanosheet hybrids, underscoring their potential as transformative platforms in precision medicine and multifunctional diagnostics.

协调金属有机框架(MOF)-2D纳米片杂化物代表了一种快速发展的多功能材料，它将精确的结构设计与多功能生物传感和治疗应用联系起来。本文综述了MOF-2D纳米片的合成策略、配位化学和独特的物理化学性质，重点介绍了MOF-2D纳米片在提高灵敏度、选择性和催化活性方面的作用。我们探索它们的刺激反应行为，使智能治疗激活，包括控制药物输送，先进的成像和光热疗法。配位位点和二维纳米片形态之间的协同相互作用是驱动优越生物传感性能和治疗效果的关键因素。此外，我们还讨论了与稳定性，可扩展性和临床翻译相关的当前挑战，以及新兴趋势和下一代设计，旨在推动该领域向前发展。这项研究为MOF-2D纳米片混合材料的合理工程提供了重要的见解，强调了它们作为精密医学和多功能诊断变革平台的潜力。

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引用次数: 0

New trends in extraction of drugs from environmental water samples 从环境水样中提取药物的新趋势

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-30 DOI: 10.1016/j.trac.2026.118708

R.M. Marcé, F. Borrull, N. Fontanals

This review critically examines the most relevant extraction techniques for the determination of licit and illicit drugs in environmental water samples, with a focus on developments reported between 2020 and 2025. Particular attention is devoted to solid-phase extraction, including both commercially available and in-house prepared materials, emphasizing the advantages offered by newly developed materials, that also include those from natural sources. Miniaturized approaches are highlighted as a significant trend in extraction methods. Solvent-based techniques are also addressed, with special consideration given to the adoption of greener and more sustainable solvents, such as deep eutectic solvents and ionic liquids, and innovative designs aimed at improving the sustainability of analytical protocols. Furthermore, the review discusses several miniaturized sorptive-based techniques and the novel green and sustainable materials applied to them. The optimization of the protocols for drug determination and the quality parameters achieved when applied to environmental water samples are thoroughly discussed.

本综述严格审查了用于确定环境水样中合法和非法药物的最相关提取技术，重点关注2020年至2025年期间报告的发展。特别关注固相萃取，包括商业上可获得的和内部制备的材料，强调新开发的材料提供的优势，也包括来自自然来源的材料。小型化方法是提取方法的一个重要趋势。此外，还讨论了基于溶剂的技术，特别考虑采用更环保和更可持续的溶剂，如深共晶溶剂和离子液体，以及旨在提高分析方案可持续性的创新设计。此外，综述了几种微型吸附技术及其应用的新型绿色可持续材料。讨论了环境水样中药物测定方法的优化及所获得的质量参数。

引用次数: 0

Attomolar and beyond: Ultra-sensitive electrochemical biosensors for next-generation detection 原子摩尔及以上：用于下一代检测的超灵敏电化学生物传感器

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-02-01 DOI: 10.1016/j.trac.2026.118726

Pramod K. Kalambate , Amol V. Pansare , Francis Ashamary , Elangovan Sivasurya , Sushil Pokhrel , Rajender Boddula , Devaraj Manoj

This review highlights recent advances in electrochemical biosensors that integrate nanomaterials with specific bioreceptors for the sensitive and selective detection of nucleic acid biomarkers, protein biomarkers, viruses, and environmental contaminants. These sensors achieve extremely low detection limits, down to attomolar (aM), zeptomolar (zM), or yoctomolar (yM), enabling early and accurate diagnosis. The review summarizes research since 2013 on sensor design, highlighting the combined roles of nanomaterials and bioreceptors in enhancing performance. Important factors such as sensor design, sensing mechanisms, nanomaterial properties, surface modifications, and bioreceptor selection, along with strategies to improve sensitivity and selectivity, are discussed in detail. Key recent examples of electrochemical biosensors are presented, including their detection limits, working ranges, target molecules, and underlying sensing principles. The article also outlines major challenges in developing and commercializing ultra-sensitive sensors and provides future perspectives for advancing sensor technologies with improved performance, usability, and real-time capabilities.

本文综述了电化学生物传感器的最新进展，这些传感器将纳米材料与特定的生物受体结合起来，用于敏感和选择性地检测核酸生物标志物、蛋白质生物标志物、病毒和环境污染物。这些传感器具有极低的检测限，低至原子摩尔（aM）、zeptomolar （zM）或yoctomolar (yM)，可以实现早期和准确的诊断。综述了自2013年以来传感器设计的研究，重点介绍了纳米材料和生物受体在提高性能方面的联合作用。详细讨论了传感器设计、传感机制、纳米材料特性、表面修饰和生物受体选择等重要因素，以及提高灵敏度和选择性的策略。介绍了电化学生物传感器的最新进展，包括它们的检测极限、工作范围、目标分子和潜在的传感原理。本文还概述了开发和商业化超灵敏传感器所面临的主要挑战，并提供了改进性能、可用性和实时功能的先进传感器技术的未来前景。

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引用次数: 0

Next-generation point-of-care diagnostics for cervical cancer: Integrating programmable biorecognition, nanomaterials, and artificial intelligence 下一代宫颈癌即时诊断：集成可编程生物识别、纳米材料和人工智能

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.trac.2026.118702

Chunfan Jiang , Min Zhou , Lin Li , Jinting Zhou , Xiaomin Qin , Mei Yang , Hui Xing

Cervical cancer remains a major global health challenge, particularly in low-resource settings. This review highlights next-generation point-of-care tests leveraging programmable biorecognition elements — such as aptamers, nanobodies, peptide nucleic acids, and CRISPR-Cas systems — for sensitive detection of HPV and host biomarkers. Integrated with nanomaterials, microfluidics, and smartphone-AI readouts, these biosensors enable rapid, affordable, and field-deployable screening. However, translating analytical breakthroughs into population-level impact requires overcoming critical translational barriers—including cost, tropical stability, self-sampling compatibility, and integration into fragmented health systems. We argue that future innovation must shift from performance-centric to equity-centered design, co-developed with end-users in high-burden regions. We critically assess design strategies, clinical translation potential, and implementation pathways, emphasizing equitable access aligned with the WHO's cervical cancer elimination initiative and the One Health vision.

宫颈癌仍然是全球健康的一大挑战，特别是在资源匮乏的地区。本综述重点介绍了利用可编程生物识别元件（如适体、纳米体、肽核酸和CRISPR-Cas系统）灵敏检测HPV和宿主生物标志物的下一代即时检测。这些生物传感器与纳米材料、微流体和智能手机人工智能读数相结合，能够实现快速、经济、可现场部署的筛查。然而，要将分析方面的突破转化为人口层面的影响，需要克服关键的转化障碍，包括成本、热带稳定性、自采样兼容性以及融入分散的卫生系统。我们认为，未来的创新必须从以性能为中心转向以公平为中心的设计，并与高负担地区的最终用户共同开发。我们严格评估设计策略、临床转化潜力和实施途径，强调与世卫组织消除宫颈癌倡议和“同一个健康”愿景一致的公平获取。

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引用次数: 0