Trends in Analytical Chemistry最新文献_第3页

Recent advances in wearable and implantable electrochemical (bio)sensors for plant health monitoring 用于植物健康监测的可穿戴和植入式电化学（生物）传感器的最新进展

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-06-09 DOI: 10.1016/j.trac.2025.118336

Narjiss Seddaoui, Fabiana Arduini

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Smart materials as modifiers of capillary electromigration methods in bioanalysis 智能材料作为生物分析中毛细管电迁移方法的修饰剂

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Trends in Analytical Chemistry Pub Date : 2025-06-09 DOI: 10.1016/j.trac.2025.118335

Liudmila Kartsova, Anastasiia Maliushevska, Aleksandra Adamova, Alina Ganieva

{"title":"Smart materials as modifiers of capillary electromigration methods in bioanalysis","authors":"Liudmila Kartsova, Anastasiia Maliushevska, Aleksandra Adamova, Alina Ganieva","doi":"10.1016/j.trac.2025.118335","DOIUrl":"10.1016/j.trac.2025.118335","url":null,"abstract":"<div><div>Smart materials-based polyfunctional capillary coatings used as stationary or pseudostationary phases significantly increase the capabilities of the capillary electromigration methods and provide separation, analysis, and on-line concentration of ionic, hydrophilic, hydrophobic, and neutral analytes in one analytical cycle while implementing different separation mechanisms of the individual capillary electromigration methods. The review covers such topics as the use of micellar polymers, ionic liquids, oligosaccharides, metal-organic and covalent organic frameworks, molecularly imprinted polymers, nanoparticles, and other smart materials for the synthesis of capillary electrochromatography stationary phases and summarizes and comprehends existing approaches to the development of smart materials for electromigration techniques. The unique properties of smart materials are discussed in terms of implementing various modes of hydrophilic capillary electrochromatography and micellar electrokinetic chromatography, which significantly expands method's analytical limits. Particular attention is paid to the synergistic effect exhibited by the joint use of two or more smart materials in electrophoretic analysis. A special section is devoted to chiral electrophoretic and electrochromatographic separations in bioanalysis involving smart materials.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118335"},"PeriodicalIF":11.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307823","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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CRISPR/Cas-based SERS detection: A win-win integration towards real-world applications 基于CRISPR/ cas的SERS检测：与现实世界应用的双赢整合

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-06-06 DOI: 10.1016/j.trac.2025.118334

Ruibo Zhao , Yaru Li , Xinyue Li , Myunghee Kim , Xingjie Li , Shichun Pei , Shuli Man , Weipan Peng , Long Ma

{"title":"CRISPR/Cas-based SERS detection: A win-win integration towards real-world applications","authors":"Ruibo Zhao , Yaru Li , Xinyue Li , Myunghee Kim , Xingjie Li , Shichun Pei , Shuli Man , Weipan Peng , Long Ma","doi":"10.1016/j.trac.2025.118334","DOIUrl":"10.1016/j.trac.2025.118334","url":null,"abstract":"<div><div>In recent years, the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated nuclease (Cas) system has risen as a powerful tool for genome editing. Beyond its editing capabilities, CRISPR/Cas system has garnered significant interest in molecular diagnostics, especially for nucleic acid detection due to its high sensitivity and specificity. Surface-enhanced Raman spectroscopy (SERS), reliant on plasmonic nanoparticles or nanostructures, was extensively employed in biosensing owing to its exceptional sensitivity and distinctive spectral bands. The integration of SERS with CRISPR/Cas technology led to the development of numerous biosensing approaches aimed at achieving ultra-sensitive detection. This review provided an overview of both the CRISPR/Cas and SERS technology, followed by a comprehensive summary of their combined application for nucleic acid detection. Furthermore, it delved into the current landscape of CRISPR/Cas-based SERS detection, addressing existing challenges and prospects for future advancements.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118334"},"PeriodicalIF":11.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254704","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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Advancements in the exploration and application of turbidimetric assays for biochemical analysis 生化分析浊度法的探索与应用进展

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-06-05 DOI: 10.1016/j.trac.2025.118333

Jikai Wang , Ziyi Mo , Haitao Xie , Weiguo Wang , Suisui He , Jun Wang

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Advances in electrochemical aptasensors: aptamer selection, construction and application in food safety 电化学适体传感器的研究进展：适体的选择、构建及其在食品安全中的应用

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-06-04 DOI: 10.1016/j.trac.2025.118332

Jieke Qiu , Zhaoyuan He , Zhi Zhao , Xiaoge Duan , Sihan Wang , Jianzhong Shen , Zhanhui Wang , Hailan Chen

{"title":"Advances in electrochemical aptasensors: aptamer selection, construction and application in food safety","authors":"Jieke Qiu , Zhaoyuan He , Zhi Zhao , Xiaoge Duan , Sihan Wang , Jianzhong Shen , Zhanhui Wang , Hailan Chen","doi":"10.1016/j.trac.2025.118332","DOIUrl":"10.1016/j.trac.2025.118332","url":null,"abstract":"<div><div>The increasing number of contaminants has exacerbated food safety issues, promoting the development of highly sensitive, specific, and rapid detection technologies for screening purpose. The electrochemical aptasensors demonstrate significant potential in food safety monitoring by combining the high specificity and affinity of aptamers and the excellent sensitivity of electrochemical sensors. They can rapidly detect a variety of contaminants in food samples, such as pathogens, drug residues, and heavy metals, by binding specifically to target analytes and then converting their concentrations into detectable electrochemical signals. This review first describes current aptamer selection technology, followed by overviewing the construction of electrochemical aptasensors, particularly focusing on the electrode modification materials and the aptamer immobilization methods. Subsequently, the application of electrochemical aptasensors for the detection of various contaminants in the field of food safety is summarized and discussed. Finally, the review concludes with a summary of key findings and future perspectives.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118332"},"PeriodicalIF":11.8,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243302","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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Multiplexed CRISPR/Cas and Argonaute detection technology: strategies, challenges, and perspectives 多路CRISPR/Cas和Argonaute检测技术：策略、挑战和前景

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-06-01 DOI: 10.1016/j.trac.2025.118329

Yaru Li , Lu Zhao , Wen Kang , Long Ma , Yunfeng Bai , Feng Feng

{"title":"Multiplexed CRISPR/Cas and Argonaute detection technology: strategies, challenges, and perspectives","authors":"Yaru Li , Lu Zhao , Wen Kang , Long Ma , Yunfeng Bai , Feng Feng","doi":"10.1016/j.trac.2025.118329","DOIUrl":"10.1016/j.trac.2025.118329","url":null,"abstract":"<div><div>An increasing number of applications demand the simultaneous detection of multiple nucleic acid targets within a single reaction, which results in a reduction in both the time required for the assay and the overall cost. The programmable nucleases Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) system and Argonaute have evolved into state-of-the-art molecular tools for the development of bioanalytical assays. In the review, the classification of the CRISPR/Cas and Argonaute were introduced followed by barriers of current multiplexed detection. Then the review systematically summarized the application of multiplexed CRISPR/Cas and Argonaute detection according to spatial/local separation, color-labelling differentiation, programmable nucleases sequence preference, sequence specific recognition. Finally, the review put forward the existing challenges and prospects of emerging field. The advancement of multiplexed CRISPR/Cas and Argonaute detection is ushering in a new era in bioanalysis with high sensitivity as well as specificity, offering great promise and desirability.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"191 ","pages":"Article 118329"},"PeriodicalIF":11.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288910","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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CRISPR/Cas Toolbox: Unveiling the secret weapon for SNP detection CRISPR/Cas工具箱：揭开SNP检测的秘密武器

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-31 DOI: 10.1016/j.trac.2025.118321

Luwei Chai, Xinge Cui, Hongbing Liu, Yongkang Zhang, Yangwei Pan, Chenxi Li, Tao Le

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Non-destructive spectroscopy assisted by machine learning for coal industrial analysis: Strategies, progress, and future prospects 煤炭工业分析的机器学习辅助无损光谱学：策略、进展和未来展望

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-05-29 DOI: 10.1016/j.trac.2025.118322

Yu Liu, Yu-Peng Xu, Pu Chen, Jing-Yan Li, Dan Liu, Xiao-Li Chu

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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

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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}

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