Trends in Analytical Chemistry最新文献

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Copper sulfide nanomaterials for advanced sensing: A bibliometric and comprehensive review 用于先进传感的硫化铜纳米材料：文献计量学和综合综述

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-19 DOI: 10.1016/j.trac.2025.118549

Wenzhen Yang , Tong Dou , Junzheng Zhang , Zhizhen Xu , Jingyi Wang , Dongsheng Wang

Copper sulfide nanomaterials (Cu_2–xS NMs, 0 < x < 1) are p-type semiconductors with tunable stoichiometry, which exhibit localized surface plasmon resonance and carrier transport properties, enabling diverse signal transduction mechanisms and promising for developing cost-effective and high-performance sensors. To identify the primary research directions and emerging hotspots, a bibliometric analysis was conducted. It revealed rapid growth in Cu_2–xS-based sensing studies and clear trends toward multimodal and integrated sensing platforms, particularly in electrochemical, optical, electrochemiluminescent, and photoelectrochemical sensors. Then, this review further analyzed how the structural features of Cu_2–xS NMs influence their electronic, optical, and catalytic properties. Next, representative advances in Cu_2–xS-based sensors were critically discussed, with emphasis on their practical applications in environmental monitoring, disease diagnosis, gas detection, and food safety. Despite rapid advances, challenges persist regarding long-term stability, interfacial mechanisms, and selective recognition. Addressing these issues through material engineering and integrating selective recognition strategies will be essential to bridge laboratory studies with practical implementation. Overall, this review provides a theoretical framework and technical guidance for better understanding and applying Cu_2–xS NMs in advanced sensing technologies.

硫化铜纳米材料（Cu2-xS nm, 0 < x < 1）是具有可调化学计量学的p型半导体，具有局部表面等离子体共振和载流子输运特性，可实现多种信号转导机制，有望开发具有成本效益和高性能的传感器。为了确定主要研究方向和新兴热点，本文进行了文献计量分析。研究表明，基于cu2 - xs的传感研究快速增长，多模态和集成传感平台的发展趋势明显，特别是在电化学、光学、电化学发光和光电化学传感器方面。然后，本文进一步分析了Cu2-xS纳米材料的结构特征对其电子、光学和催化性能的影响。接下来，重点讨论了基于cu2 - xs传感器的代表性进展，重点介绍了它们在环境监测、疾病诊断、气体检测和食品安全方面的实际应用。尽管进展迅速，但在长期稳定性、界面机制和选择性识别方面仍然存在挑战。通过材料工程和整合选择性识别策略来解决这些问题，将是实验室研究与实际实施之间的桥梁。本文为更好地理解和应用Cu2-xS纳米材料在先进传感技术中的应用提供了理论框架和技术指导。

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引用次数: 0

Emerging deep eutectic solvents for organic contaminant analysis in food and environmental matrices: A review 用于食品和环境基质中有机污染物分析的新型深共晶溶剂：综述

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-19 DOI: 10.1016/j.trac.2025.118547

Jingyan Chen , Boyeon Bae , Jeongmi Lee

Organic contaminants, including pharmaceuticals and personal care products, pesticides, industrial chemicals, and natural toxins, enter the environment and food chain, posing health risks. Their trace-level analysis in complex matrices requires rapid, selective, and preferably green extraction methods. Deep eutectic solvents (DESs) have emerged as attractive alternatives to volatile organic solvents. Recently, “emerging” subclasses of DESs, namely switchable DESs (SDESs), magnetic DESs (MDESs), and supramolecular DESs (SUPRADESs), have expanded the toolbox. SDESs enable disperser-free phase switching, MDESs simplify magnet-assisted phase separation, and SUPRADESs enhance extraction performance through host–guest inclusion. This review discusses their key physicochemical characteristics and representative applications in food and environmental analysis. Limitations (e.g., weak magnetic responsiveness of MDESs), practical considerations (e.g., compatibility with analytical instruments), and future perspectives (e.g., rational solvent design, integration of complementary DES systems) are also outlined to provide guidance for the continued development of emerging DESs in organic contaminant analysis.

有机污染物，包括药品和个人护理产品、杀虫剂、工业化学品和天然毒素，进入环境和食物链，构成健康风险。他们的痕量水平分析在复杂的矩阵需要快速，选择性的，最好是绿色的提取方法。深共晶溶剂（DESs）已成为挥发性有机溶剂的有吸引力的替代品。最近，“新兴”的DESs子类，即可切换DESs (sess)，磁性DESs （mess）和超分子DESs (SUPRADESs)，扩大了工具箱。sess可以实现无色散的相开关，mess简化了磁辅助相分离，而SUPRADESs通过主-来宾包合提高了萃取性能。本文综述了它们的主要理化特性及其在食品和环境分析中的代表性应用。本文还概述了DESs的局限性（例如，弱磁响应性）、实际考虑因素（例如，与分析仪器的兼容性）和未来前景（例如，合理的溶剂设计，互补DES系统的集成），为新兴的DESs在有机污染物分析中的持续发展提供指导。

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引用次数: 0

Unlocking the potential of osmium nanoparticles for next-generation sensing technologies 发掘锇纳米粒子在下一代传感技术中的潜力

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-18 DOI: 10.1016/j.trac.2025.118548

Raheel Akram , Anila Arshad , S. Lokeswara Reddy , Muhammad Saqib , Serena Arnaboldi , Jaroon Jakmunee

Osmium nanoparticles (Os NPs), long limited by toxicity concerns, synthetic challenges, and low industrial demand, are now gaining recognition for their exceptional redox properties, catalytic efficiency, and chemical stability traits highly desirable for sensing applications. Despite sharing the noble metal class with widely studied Au, Pt, and Ag, Os remains radically underexplored in nanotechnology. A recent overview by J. Quinson outlined general aspects of Os NPs synthesis and applications, but the specific domain of sensing was not systematically addressed. This review fills that gap by presenting a critical examination of the historical evolution, synthetic advances, and surface engineering strategies of Os nanomaterials, while evaluating their performance in environmental, biomedical, and food safety sensing. Comparative analyses highlight their distinct advantages, including superior peroxidase-like activity, multifunctionality in complex matrices and robustness under harsh conditions, while underscoring the stark disparity in research relative to other noble metals. Key challenges such as high cost, oxidative instability, and limited commercial availability are addressed alongside emerging solutions, including green synthesis and ligand-controlled architectures. By mapping the trajectory from early Os chemistry to cutting-edge Os-based nanozymes and multifunctional hybrids, this review not only bridges existing knowledge gaps but also positions Os nanomaterials as transformative candidate for next-generation sensing technologies.

锇纳米粒子（Os NPs）长期以来受到毒性问题、合成挑战和低工业需求的限制，现在因其卓越的氧化还原性能、催化效率和化学稳定性特性而获得认可，这些特性在传感应用中非常理想。尽管与广泛研究的Au， Pt和Ag共享贵金属类，但Os在纳米技术中仍未得到充分的探索。最近由J. Quinson概述了Os NPs合成和应用的一般方面，但具体的传感领域没有系统地解决。本综述通过对Os纳米材料的历史演变、合成进展和表面工程策略进行批判性审查，同时评估其在环境、生物医学和食品安全传感方面的表现，填补了这一空白。对比分析突出了其独特的优势，包括优越的过氧化物酶样活性，复杂基质中的多功能性和恶劣条件下的稳健性，同时强调了与其他贵金属相比研究的明显差异。随着绿色合成和配体控制结构等新兴解决方案的出现，诸如高成本、氧化不稳定性和有限的商业可用性等关键挑战也得到了解决。通过绘制从早期Os化学到尖端Os纳米酶和多功能杂交体的轨迹，本综述不仅弥补了现有的知识空白，而且将Os纳米材料定位为下一代传感技术的变革候选者。

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引用次数: 0

State-of-the-art enantioselective liquid-liquid extraction for chiral separation: Principles and advances 手性分离中最先进的对映选择性液-液萃取：原理与进展

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-17 DOI: 10.1016/j.trac.2025.118543

Genlin Sun , Frederik André Hansen , Chenggong Zhou , Kexin Zhou , Zhihong Yan , Weiyang Tang

Obtaining enantiopure compounds is critically important for pharmaceutical efficacy and environmental safety. Enantioselective liquid-liquid extraction (ELLE) has been proposed as an effective separation technique, gaining significant attention due to its operational flexibility and cost efficiency. ELLE technique is a prominent research focus in separation science, evidenced by substantial annual publications. In this review, a compilation on main principles and advances of chiral separation through ELLE technique are offered, starting with an introduction including mechanisms, classes of solvent systems and chiral additives, types of monophasic and biphasic recognition chiral extraction, and extraction equipment. Finally, this review summarizes the state-of-the-art achievements of ELLE technique in enantioselective applications, with particular emphasis on industrial-scale chiral separations. The key accomplishments and future challenges to the field are also discussed, with particular emphasis on comprehensive foundation in ELLE technology while critically enabling the rational design of novel high-efficiency systems and their industrial deployment.

获得对映不纯化合物对药物疗效和环境安全至关重要。对映选择性液-液萃取（ELLE）作为一种有效的分离技术，因其操作的灵活性和成本效益而受到广泛关注。ELLE技术是分离科学中一个突出的研究焦点，大量的年度出版物证明了这一点。本文综述了利用ELLE技术进行手性分离的主要原理和进展，首先介绍了机理、溶剂体系和手性添加剂的种类、单相和双相识别手性提取的类型以及提取设备。最后，本文综述了ELLE技术在对映选择性应用中的最新成就，特别强调了工业规模的手性分离。讨论了该领域的关键成就和未来挑战，特别强调了ELLE技术的综合基础，同时关键地实现了新型高效系统的合理设计及其工业部署。

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引用次数: 0

Multi-scenario deployable analysis platform for the detection of illicit pharmaceutical adulteration in dietary supplements 多场景可部署分析平台，用于检测膳食补充剂中的非法药物掺假

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-15 DOI: 10.1016/j.trac.2025.118544

Yuxin Wang , Wanzi Yao , Yifeng Zhang , Gaiping Zhang

Amidst the global rise in dietary supplement (DS) consumption, the rampant adulteration of related products with various pharmaceutical ingredients has evolved into a severe public health crisis. The adulteration pose health threat to DS consumers, and even lead to fatal results. The elimination of pharmaceutical adulteration is a protracted technological arms race, and advanced detection technology is the key weapon to secure victory for justice. This article summarizes globally documented adulteration instances and resultant outcomes, and reviews technological advancements in adulterant detection. Future prospects for adulteration regulation, including technical optimization strategies, are critically discussed. The iteration of conventional technologies has achieved significant progress in precision and accuracy, while emerging methodologies are focusing on portability, multi-scenario deployability, and sensitivity towards new adulterants. Combating DS adulteration is the shared responsibility of all participants of the consumption chain, which requires advanced detection platforms accessible to all end-users—from regulatory enforcers to individual consumers.

随着膳食补充剂（DS）消费量的全球增长，各种药物成分的相关产品的猖獗掺假已经演变成严重的公共卫生危机。掺假对DS消费者的健康构成威胁，甚至导致致命的后果。消除掺假是一场旷日持久的技术军备竞赛，先进的检测技术是确保司法胜利的关键武器。本文总结了全球记录的掺假事件和由此产生的结果，并回顾了掺假检测的技术进步。掺假监管的未来前景，包括技术优化策略，批判性地讨论。传统技术的迭代在精密度和准确性方面取得了重大进展，而新兴方法则侧重于可移植性、多场景可部署性和对新掺杂物的敏感性。打击DS掺假是消费链所有参与者的共同责任，这需要所有最终用户（从监管执法人员到个人消费者）都可以使用先进的检测平台。

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引用次数: 0

Molecular imprinting toward living systems: From cells to extracellular vesicles 生命系统的分子印迹：从细胞到细胞外囊泡

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-15 DOI: 10.1016/j.trac.2025.118546

Xueting Yuan , Juntao Zhou , Dongna Xie , Nian Wang , Lianghai Hu

Molecularly imprinted polymers (MIPs), acting as artificial antibodies, offer advantages including low cost, high stability, and reusability, making them powerful tools for the specific recognition and capture of biological entities. This review provides a comprehensive overview of recent advances in MIP-based technologies targeting complex living systems, encompassing mammalian cells, bacteria, viruses, and extracellular vesicles (EVs). Furthermore, it critically discusses unresolved key challenges such as template heterogeneity, biocompatibility, and scale-up production. Finally, the review outlines promising future directions, including the development of smart responsive MIPs, multi-template imprinting strategies, computational design, and integration with microfluidics, aiming to provide insights to facilitate the clinical translation of MIPs.

分子印迹聚合物（MIPs）作为一种人工抗体，具有成本低、稳定性高、可重复使用等优点，是生物实体特异性识别和捕获的有力工具。本文综述了基于mip的靶向复杂生命系统技术的最新进展，包括哺乳动物细胞、细菌、病毒和细胞外囊泡（ev）。此外，它批判性地讨论了未解决的关键挑战，如模板异质性，生物相容性和规模化生产。最后，综述概述了有希望的未来方向，包括智能响应式MIPs的发展，多模板印迹策略，计算设计以及与微流体的集成，旨在为促进MIPs的临床转化提供见解。

引用次数: 0

Conformal sensors enhanced by flexible terahertz microstructures 柔性太赫兹微结构增强的共形传感器

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-15 DOI: 10.1016/j.trac.2025.118545

Ying Bao , Qinhong Yin , Chang Liu , Baoning Wang , Haolan Wang , Yibin Ying , Wendao Xu

Terahertz (THz) technology exhibits inherent advantages in sensing applications since vibrational modes of various molecules lie in this regime. Integration of flexible structures and THz technology presents transformative opportunities for conformal sensing in agricultural, biomedical, environmental, and wearable applications. Flexible THz microstructures have unique contact capabilities compared to traditional rigid devices. Their ability to fit complex surfaces significantly enhances detection sensitivity and expands application scenes. In this review, we introduce two working principles of flexible THz microstructures, including flexible metamaterial devices and flat devices. We also present recent advances in THz flexible devices for strain sensing, substances (molecules, proteins, and cells) detection, as well as other sensing applications. Finally, we summarize existing problems of flexible THz microstructures, and indicate that future cross-field and multidisciplinary collaborations offer broad prospects for the rapid development of THz sensing.

太赫兹（THz）技术在传感应用中表现出固有的优势，因为各种分子的振动模式都在这个范围内。柔性结构和太赫兹技术的集成为农业、生物医学、环境和可穿戴应用中的保形传感提供了变革的机会。与传统的刚性器件相比，柔性太赫兹微结构具有独特的接触能力。它们适应复杂表面的能力显著提高了检测灵敏度，扩展了应用场景。本文介绍了柔性太赫兹微结构的两种工作原理，包括柔性超材料器件和平面器件。我们还介绍了用于应变传感、物质（分子、蛋白质和细胞）检测以及其他传感应用的太赫兹柔性器件的最新进展。最后，总结了柔性太赫兹微结构存在的问题，指出未来的跨领域、多学科合作为太赫兹传感的快速发展提供了广阔的前景。

引用次数: 0

Developments in hydrogen/deuterium exchange mass spectrometry at sub-zero temperatures 低温下氢/氘交换质谱的研究进展

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-12 DOI: 10.1016/j.trac.2025.118539

Anton Berg Hansen, Omid Rouhi, Kasper D. Rand

HDX-MS has become a popular and established method for studying the dynamic conformational landscape and interactions of proteins in solution. Over the years, HDX-MS has been used to analyze increasingly complex protein systems in terms of size, purity, and biologically relevant conditions. For example, HDX-MS has been employed to study membrane proteins in their native lipid membranes from bacteria, intact viruses, and individual proteins within living cells. However, these exciting and complex new applications pose significant challenges to traditional HDX-MS experiments, particularly the need to perform sample pretreatment and LC separation on a short timescale at zero degrees to prevent inadvertent deuterium labeling information loss (back-exchange). A promising development in HDX-MS is the use of sub-zero temperature separation to reduce back-exchange and enable extended chromatographic separation. In this review, we aim to provide an overview of the current state of sub-zero temperature HDX-MS and the challenges associated with its use.

HDX-MS已成为研究溶液中蛋白质动态构象景观和相互作用的一种流行和成熟的方法。多年来，HDX-MS已被用于分析越来越复杂的蛋白质系统的大小、纯度和生物学相关条件。例如，HDX-MS已被用于研究细菌、完整病毒和活细胞内单个蛋白质的天然脂膜中的膜蛋白。然而，这些令人兴奋和复杂的新应用对传统的HDX-MS实验提出了重大挑战，特别是需要在零度的短时间内进行样品预处理和LC分离，以防止无意的氘标记信息丢失（回交换）。HDX-MS的一个有前途的发展是使用零度以下的温度分离，以减少反交换，使扩展色谱分离。在这篇综述中，我们旨在概述低温HDX-MS的现状及其使用面临的挑战。

引用次数: 0

Uncertainty in air-water mercury exchange flux measurements: A methodological review 空气-水汞交换通量测量的不确定度：方法学综述

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-12 DOI: 10.1016/j.trac.2025.118538

Ningkun Sun , Zhiwei Ma , Ying Wang , Zhijia Ci , Liuchao Zhu , Xiaodong Li , Qinghua Zhang , Xiaoshan Zhang , Zhangwei Wang , Yongguang Yin , Yong Cai , Guibin Jiang

Mercury (Hg) exchange across the air-water interface is important for understanding its geochemical cycle. Accurate quantification of the bidirectional flux is critical for constraining the global Hg budget. Three measurement approaches (dynamic flux chamber, gas exchange model, and micrometeorological method) have been applied yet subject to inherent uncertainties. This review summarized the principles, advantages, and limitations of each method, focusing on key uncertainty sources. The dynamic flux chamber method enables direct measurement but is susceptible to environmental factors. Gas exchange models have parameterization issues. Micrometeorological techniques provide high resolution but require stable conditions and complex equipment. When comparing different methods for measurement of flux associated with an individual water body, it is difficult to determine which method yields more realistic results. In the field investigation, it is necessary to select appropriate method and associated parameters based on environmental conditions and research objectives.

大气-水界面的汞交换对了解其地球化学循环具有重要意义。准确量化双向通量对于限制全球汞收支至关重要。目前已有三种测量方法（动态通量室、气体交换模型和微气象法）应用，但存在固有的不确定性。本文综述了每种方法的原理、优点和局限性，重点介绍了主要的不确定性来源。动态通量室法可以直接测量，但容易受到环境因素的影响。气体交换模型存在参数化问题。微气象技术提供高分辨率，但需要稳定的条件和复杂的设备。在比较测量与单个水体有关的通量的不同方法时，很难确定哪种方法产生的结果更现实。在实地调查中，需要根据环境条件和研究目标选择合适的方法和相关参数。

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引用次数: 0

Deep learning-driven screening of emerging contaminants: Innovations and technological advances 深度学习驱动的新兴污染物筛选：创新和技术进步

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-11-12 DOI: 10.1016/j.trac.2025.118536

Yao Yao , Ke Yuan , Yun Jiang , Xinyan Li , Qian Yang , Bilin Zhao , Jiewei Deng , Chunyan Hao , Tiangang Luan

Emerging contaminants (ECs), characterized by diverse structures, low environmental concentrations, and complex mixture effects, challenge conventional toxicity screening. Traditional approaches face limitations in efficiency, costs, and handling large datasets. Deep learning (DL) offers a transformative tool for predicting ECs toxicity by leveraging feature learning and nonlinear modeling. DL significantly enhance prediction accuracy while reducing time and economic costs compared to conventional techniques. This review systematically examines advancements in DL applications for ECs toxicity screening in two key areas: data requirements and preprocessing, as well as innovative algorithmic architectures and optimized mechanisms. It highlights the superior performance of advanced architectures like Graph Neural Networks (GNNs) and Transformers in processing molecular graphs and capturing long-range dependencies. Furthermore, we analyze core technical challenges, including data scarcity, interpretability issues, and limited knowledge of environmental interactions, and suggest future directions to guide the practical application of DL in environmental risk assessment.

新兴污染物（ECs）具有结构多样、环境浓度低、混合效应复杂等特点，对传统的毒性筛选提出了挑战。传统方法在效率、成本和处理大型数据集方面面临限制。深度学习（DL）通过利用特征学习和非线性建模，为预测ec毒性提供了一种变革性的工具。与传统技术相比，深度学习显著提高了预测精度，同时减少了时间和经济成本。本文系统地研究了两个关键领域的DL应用在ECs毒性筛选中的进展：数据要求和预处理，以及创新的算法架构和优化机制。它强调了图形神经网络（GNNs）和变压器等先进架构在处理分子图和捕获远程依赖关系方面的卓越性能。此外，我们分析了核心技术挑战，包括数据稀缺性、可解释性问题和对环境相互作用的有限知识，并提出了指导深度学习在环境风险评估中的实际应用的未来方向。

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