Trends in Analytical Chemistry最新文献

Chemiluminescence methods for glucose determination: A guiding light for diabetes management 化学发光法测定葡萄糖：糖尿病治疗的指路明灯

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-27 DOI: 10.1016/j.trac.2025.118316

Mortaza Iranifam

引用次数: 0

Artificial intelligence for method development in liquid chromatography 液相色谱方法开发中的人工智能

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-26 DOI: 10.1016/j.trac.2025.118320

Emery Bosten , Kai Chen , Mario Hellings , Deirdre Cabooter

{"title":"Artificial intelligence for method development in liquid chromatography","authors":"Emery Bosten , Kai Chen , Mario Hellings , Deirdre Cabooter","doi":"10.1016/j.trac.2025.118320","DOIUrl":"10.1016/j.trac.2025.118320","url":null,"abstract":"<div><div>Method development in liquid chromatography is an important process in building up qualitative analytical methods that allow the separation and quantification of all compounds in a mixture. It is often a demanding process due to its time-consuming, resource intensive, and costly nature. This review explores the integration of artificial intelligence and machine learning to assist in and speed-up the method development process. The utility of Quantitative Structure-Retention Relation models in the screening phase of the method development is first addressed, with a particular focus on advanced molecular representations that utilize deep learning architectures, enabling more detailed molecular descriptions. Secondly, optimization algorithms that can automate and accelerate the optimization phase of the method development are discussed. Notable advancements include Bayesian optimization and reinforcement learning for the self-optimization of chromatographic parameters. Furthermore, artificial intelligence-based signal processing methods are reviewed, along with their role in the automation of the method development process. Despite these advancements, challenges remain in achieving a fully automated and experimentally efficient method development, and further improvements in molecular modelling, experimental design, and signal processing are needed. This review provides insights into current methodologies, future directions, and existing gaps in artificial intelligence-assisted method development, highlighting its potential impact in analytical chemistry.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"192 ","pages":"Article 118320"},"PeriodicalIF":11.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inductively coupled plasma mass spectrometry-based immunoassay: An update from 2015 to 2025 基于电感耦合等离子体质谱的免疫分析：2015年到2025年的更新

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-22 DOI: 10.1016/j.trac.2025.118317

Min Jiang , Chengchao Zhang , Yanlin Chen , Mingxia Sun , Rui Liu , Yi Lv

{"title":"Inductively coupled plasma mass spectrometry-based immunoassay: An update from 2015 to 2025","authors":"Min Jiang , Chengchao Zhang , Yanlin Chen , Mingxia Sun , Rui Liu , Yi Lv","doi":"10.1016/j.trac.2025.118317","DOIUrl":"10.1016/j.trac.2025.118317","url":null,"abstract":"<div><div>Inductively coupled plasma mass spectrometry (ICP-MS) has emerged as an important analytical platform in the field of biomarker detection, leveraging its exceptional sensitivity and resolution. Over the past decade, ICP-MS-based immunoassays have experienced rapid development, not only overcoming the sensitivity and multiplexing limitations of traditional optical methods but also achieving extensive applications in clinical scenarios. Elemental tags, as a core technological module of ICP-MS bioassays, serve as the critical bridge connecting biomolecular recognition and mass spectrometric signal output. Their design and performance directly influence the sensitivity, multiplexity, and throughput of the detection. Therefore, the focus of this review will be mainly on elemental tags, summarizing the latest advancements in metal ions, nanoparticles, and label-free strategies while exploring how these innovations enable ICP-MS bioassays to achieve high sensitivity, multiplexity, and high-throughput analysis. Additionally, this review also covers related bioassays based on similar principles, such as nucleic acid hybridization and aptamer-based assays.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118317"},"PeriodicalIF":11.8,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent developments and workflows of non-targeted LC-HRMS screening in the detection of veterinary drug residues in foods 食品中兽药残留非靶向LC-HRMS筛查的最新进展和工作流程

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-21 DOI: 10.1016/j.trac.2025.118314

Yishuang Yang , Jiaxi Chen , Guiyuan Li , Anastasios Koidis , Zhongping Yao , Hongtao Lei , Xiaoqun Wei

{"title":"Recent developments and workflows of non-targeted LC-HRMS screening in the detection of veterinary drug residues in foods","authors":"Yishuang Yang , Jiaxi Chen , Guiyuan Li , Anastasios Koidis , Zhongping Yao , Hongtao Lei , Xiaoqun Wei","doi":"10.1016/j.trac.2025.118314","DOIUrl":"10.1016/j.trac.2025.118314","url":null,"abstract":"<div><div>Monitoring veterinary drug residues in food is one key link to ensuring food safety. In recent years, non-targeted screening technology based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) has attracted widespread attention. However, the development and application of non-targeted screening methods still face many challenges due to the constantly updated variety of veterinary drugs, the complexity of sample matrices, the large amount of data, and the cumbersome data identification process. To address the above challenges, this review systematically proposes a workflow for non-targeted screening, focusing on the research progress in sample preparation, instrument analysis, data preprocessing, and recognition strategy. In addition, it summarizes molecular formula prediction models, chemical structure prediction models, and retention time validation models, discusses the latest application of this technique in detecting veterinary drug residues in food, providing new insights to meet the challenges of non-targeted screening.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118314"},"PeriodicalIF":11.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Engineering signal interfaces for enhanced electrochemical biosensing 用于增强电化学生物传感的工程信号接口

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-21 DOI: 10.1016/j.trac.2025.118310

Masoud Negahdary , Mayank Garg , Gerard L. Coté , Leyla Soleymani , Mahla Poudineh , Samuel Mabbott

{"title":"Engineering signal interfaces for enhanced electrochemical biosensing","authors":"Masoud Negahdary , Mayank Garg , Gerard L. Coté , Leyla Soleymani , Mahla Poudineh , Samuel Mabbott","doi":"10.1016/j.trac.2025.118310","DOIUrl":"10.1016/j.trac.2025.118310","url":null,"abstract":"<div><div>Signal interface design advances have revolutionized electrochemical biosensing by greatly enhancing electron transfer efficiency, signal stability, and analyte selectivity. Recent innovations, including 3D-printed sensing platforms, soft and stretchable electrodes, and laser-induced graphene (LIG) interfaces, have enabled biosensors with heightened sensitivity, reduced interference, and improved durability. Merging high-performance surface engineering and embedded technologies like microfluidics has opened avenues toward improved functionality for convenient operation across wide physiological conditions. Such advances have been particularly impactful in biomarker detection, where signal-optimized interfaces allow ultrasensitive real-time monitoring of clinically relevant analytes in biofluids such as sweat and interstitial fluid (ISF). This development lays the groundwork for the next generations of non-invasive health monitoring tools by bridging the gap between traditional laboratory diagnostics and novel point-of-care systems. This review offers a snapshot of signal interface innovations, categorizing recent work from the past two years into key thematic areas. We emphasize emerging trends in electrode functionalization, transduction amplification, and interface engineering, with a critical analysis of how these translate into the enhancement of biosensor performance. Providing a snapshot of the state-of-the-art electrochemical biosensing, this review is a reference guide for researchers developing novel biosensing platforms.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118310"},"PeriodicalIF":11.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trends in nucleic acids and non-nucleic acids nanostructures-enhanced site-specific DNA methylation biosensing 核酸和非核酸纳米结构增强位点特异性DNA甲基化生物传感的趋势

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-21 DOI: 10.1016/j.trac.2025.118315

Yongchao Yao , Limei Zhang , Xun He , Lianhua Liu , Peilin Wu , Mei Yang , Zhengwei Cai , Hong Tang , Hao Bai , Yi Li , Binwu Ying , Xuping Sun , Wenchuang Walter Hu

{"title":"Trends in nucleic acids and non-nucleic acids nanostructures-enhanced site-specific DNA methylation biosensing","authors":"Yongchao Yao , Limei Zhang , Xun He , Lianhua Liu , Peilin Wu , Mei Yang , Zhengwei Cai , Hong Tang , Hao Bai , Yi Li , Binwu Ying , Xuping Sun , Wenchuang Walter Hu","doi":"10.1016/j.trac.2025.118315","DOIUrl":"10.1016/j.trac.2025.118315","url":null,"abstract":"<div><div>The early detection of diseases, leveraging DNA methylation as a crucial biomarker, has seen remarkable progress through the integration of nucleic acids and non-nucleic acids nanostructures in biosensing platforms. This review explores how nucleic acids-based nanostructures, such as DNA tetrahedra and G-quadruplexes, alongside diverse non-nucleic acids nanomaterials like metal nanoparticles, carbon-based nanomaterials, and nanopores, are propelling advancements in sensitivity, specificity, and analytical depth for site-specific DNA methylation analysis. With a focus on key trends in signal amplification and enhanced specificity, we examine the evolving role of nanostructures in addressing the challenges of methylation profiling within complex biological environments. Through a comprehensive analysis of recent developments, this review showcases how these developments pave the way for major enhancements in precision diagnostics, thereby expanding the efficacy and accuracy of DNA methylation-based biosensing approaches for the early detection of diseases.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118315"},"PeriodicalIF":11.8,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Portable analytical methods for detecting synthetic cannabinoid receptor agonists: a critical review 检测合成大麻素受体激动剂的便携式分析方法：一个重要的回顾

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-20 DOI: 10.1016/j.trac.2025.118311

Larissa M.A. Melo , Lívia M.S. Aranha , Cecília N.F. Barroso , Luciano C. Arantes , Rodrigo A.A. Muñoz , Wallans T.P. dos Santos

{"title":"Portable analytical methods for detecting synthetic cannabinoid receptor agonists: a critical review","authors":"Larissa M.A. Melo , Lívia M.S. Aranha , Cecília N.F. Barroso , Luciano C. Arantes , Rodrigo A.A. Muñoz , Wallans T.P. dos Santos","doi":"10.1016/j.trac.2025.118311","DOIUrl":"10.1016/j.trac.2025.118311","url":null,"abstract":"<div><div>Synthetic Cannabinoid Receptor Agonists (SCRAs) are a chemically diverse class of psychoactive substances that activate cannabinoid receptors and mimic the pharmacological effects of delta-9-tetrahydrocannabinol, despite often having markedly different chemical structures. Given the vast array of chemical structures within this drug class, coupled with the rapid introduction of new variants, detecting SCRAs has become a challenge in forensic studies. While traditional methods like chromatography with mass spectrometry offer high accuracy, they require expensive, bulky, and complex equipment. This has made the exploration of portable detection methods particularly attractive. This review focuses on the development of innovative, rapid, and straightforward methods for identifying SCRAs-type substances, including electrochemistry, electrochemiluminescence, quartz-crystal microbalance, fluorescence, surface-enhanced Raman scattering and infrared spectroscopy. We compare their analytical performance in terms of detection limits, quantification ranges, and applicable sample matrices. Finally, we discuss current limitations and outline emerging trends that guide future developments in portable SCRAs detection technologies.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118311"},"PeriodicalIF":11.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advances in online derivatization for liquid chromatography-mass spectrometry: Automation and performance enhancement 液相色谱-质谱在线衍生化研究进展：自动化和性能提升

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-17 DOI: 10.1016/j.trac.2025.118300

Fangfang Wang , Lihua Zuo , Mengyuan Lv , Yuyang Wang , Ruobing Ren , Di Chen , Zhi Sun

引用次数: 0

State of the art and perspectives of improving antibody performance in food immunosensors 提高食品免疫传感器抗体性能的研究现状及展望

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-16 DOI: 10.1016/j.trac.2025.118308

Haoran Xiao , Shiwen Han , Mingzhe Zhu , Mingxia Lin , Nan Cheng , Huilian Che

{"title":"State of the art and perspectives of improving antibody performance in food immunosensors","authors":"Haoran Xiao , Shiwen Han , Mingzhe Zhu , Mingxia Lin , Nan Cheng , Huilian Che","doi":"10.1016/j.trac.2025.118308","DOIUrl":"10.1016/j.trac.2025.118308","url":null,"abstract":"<div><div>Immunosensors have become a rapid, cost-effective, and sensitive tool for food safety detection, with antibodies serving as essential biorecognition components. However, challenges like low specificity, time-consuming preparation, animal dependency, and high costs limit their application. Recent studies highlight strategies for improving antibody performance, including rational hapten design, optimized conjugation techniques, and spacer arm length optimization. Computer-aided molecular modeling can validate designs before the immunization step, ensuring design efficacy. Phage display enables recombinant antibody production, allowing efficient preparation of antibodies from various phage antibody libraries through tailored screening strategies. Additionally, modifications to the ligands and formats used in chromatography can facilitate the development of high-throughput, cost-effective antibody purification methods. This review also offers a comprehensive overview of the type of immunosensors used in food safety, focusing on optical, electrochemical and multi-mode immunosensors. The goal is to offer new insights and approaches to enhance antibody production efficiency and their use in immunosensors.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118308"},"PeriodicalIF":11.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Materials for 3D printing of chromatographic stationary phases 色谱固定相3D打印材料

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-16 DOI: 10.1016/j.trac.2025.118301

Mariachiara Conti , Simone Dimartino

引用次数: 0