Trends in Analytical Chemistry最新文献_第5页

Reviewing the fundamentals and best practices to characterize microplastics using state–of–the-art quantum-cascade laser reflectance-absorbance spectroscopy 回顾使用最先进的量子级联激光反射-吸收光谱表征微塑料的基本原理和最佳实践

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-03-13 DOI: 10.1016/j.trac.2025.118229

Adrián López-Rosales , Borja Ferreiro , Jose M. Andrade , Andreas Kerstan , Darren Robey , Soledad Muniategui

{"title":"Reviewing the fundamentals and best practices to characterize microplastics using state–of–the-art quantum-cascade laser reflectance-absorbance spectroscopy","authors":"Adrián López-Rosales , Borja Ferreiro , Jose M. Andrade , Andreas Kerstan , Darren Robey , Soledad Muniategui","doi":"10.1016/j.trac.2025.118229","DOIUrl":"10.1016/j.trac.2025.118229","url":null,"abstract":"<div><div>Microplastic pollution studies depend on reliable identification of the suspicious particles. Out of the various analytical techniques available to characterize them, infrared transflectance using a tuneable mid-IR quantum cascade laser is a high-throughput state-of-the-art imaging option, specifically Agilent's QCL-LDIR (Quantum Cascade Laser Direct Infrared imaging). Its conceptual grounds are reviewed, instrumental developments are discussed, along with a review of applications and best practices to overcome obstacles/difficulties in routine measurements, namely: the spectral range, the variation of some peak intensities with the particles size, processing speed, and avoiding the use of measurement aliquots. Objective procedures to avoid too many false positives when identifying spectra and to distinguish fibers and fragments are given. These practices open a path to QCL-LDIR measurement standardization and potential use for microplastics monitoring, as requested by many governmental bodies in charge of setting environmental protection rules.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"188 ","pages":"Article 118229"},"PeriodicalIF":11.8,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685133","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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Illuminating extracellular vesicles with advanced fluorescence biosensing technologies 利用先进的荧光生物传感技术照亮细胞外囊泡

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Trends in Analytical Chemistry Pub Date : 2025-03-08 DOI: 10.1016/j.trac.2025.118228

Yeonju Lee , Kyung-Min Kim , Joonseok Lee , Young-Pil Kim

{"title":"Illuminating extracellular vesicles with advanced fluorescence biosensing technologies","authors":"Yeonju Lee , Kyung-Min Kim , Joonseok Lee , Young-Pil Kim","doi":"10.1016/j.trac.2025.118228","DOIUrl":"10.1016/j.trac.2025.118228","url":null,"abstract":"<div><div>Extracellular vesicles (EVs) are the enigmatic messengers of intercellular communications and vital biological processes, including immune regulation, tissue regeneration, and disease progression. Despite their immense values as clinical diagnosis, the analysis of EVs poses significant challenges due to their small size and heterogeneity. This review focuses on the rapid evolution of fluorescence (FL) biosensing technologies. The convergence of FL biosensing technologies with advancements in biotechnology and nanotechnology has elaborated EV analysis, providing unprecedented sensitivity, specificity, and multiplexing capabilities. Here we overview three key areas of FL analyses of EVs: FL signal amplification technologies, Förster resonance energy transfer-based technologies, and innovative FL technologies. These cutting-edge methods, utilizing fluorescent dyes, enable precise visualization and simultaneous analysis of multiple EVs, offering insights into their diverse subpopulations and potential implications for biological processes, paving the way for novel diagnostic and therapeutic strategies.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"188 ","pages":"Article 118228"},"PeriodicalIF":11.8,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593542","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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Advances in imaging techniques for real-time microbial visualization in wastewater treatment reactors: Challenges, applications, and process optimization 污水处理反应器中微生物实时可视化成像技术的进展：挑战、应用和工艺优化

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-03-05 DOI: 10.1016/j.trac.2025.118227

Arukula Deepa , Anthati Mastan , Viswanath Buddolla

{"title":"Advances in imaging techniques for real-time microbial visualization in wastewater treatment reactors: Challenges, applications, and process optimization","authors":"Arukula Deepa , Anthati Mastan , Viswanath Buddolla","doi":"10.1016/j.trac.2025.118227","DOIUrl":"10.1016/j.trac.2025.118227","url":null,"abstract":"<div><div>The dynamics of microbial communities in wastewater treatment reactors are crucial for enhancing treatment efficiency and promoting sustainability. This study highlights microorganisms' significant role in pollutant biodegradation, underpinning operational success in wastewater management. Recent advancements in imaging technologies, including super-resolution microscopy, Raman spectroscopy, and nanoscale imaging, have revolutionized the visualization of microbial cells and biofilms, facilitating real-time monitoring of microbial interactions. These methods offer valuable insights into microbial community dynamics and their adaptive responses to environmental changes. This review evaluates the application of these advanced imaging techniques in wastewater treatment research, pinpointing gaps in real-time microbial monitoring and suggesting strategies for their integration into operational systems. Additionally, it discusses the practical challenges of deploying these technologies in real-world scenarios and outlines future research directions. By leveraging innovative imaging approaches, researchers can develop sustainable and efficient wastewater treatment solutions to address critical environmental challenges.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"188 ","pages":"Article 118227"},"PeriodicalIF":11.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576701","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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Design strategies of fluorescent covalent organic frameworks and visual on-site monitoring of food freshness: A state-of-the-art review 荧光共价有机框架的设计策略和食品新鲜度的视觉现场监测：最新进展综述

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-03-03 DOI: 10.1016/j.trac.2025.118226

Dianwei Zhang, Kexin Li, Shengnan Wang, Yuanchen Ma, Huilin Liu

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Non-destructive identification of microplastics in soil using spectroscopy and hyperspectral imaging 利用光谱和高光谱成像技术无损识别土壤中的微塑料

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Trends in Analytical Chemistry Pub Date : 2025-02-28 DOI: 10.1016/j.trac.2025.118216

M.F.R. Pahlawan , Yena Kim , Umuhoza Aline , Aridatuz Zahroh , Rudiati Evi Masithoh , Moon S. Kim , Insuck Baek , Byoung-Kwan Cho

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Microneedle wearables in advanced microsystems: Unlocking next-generation biosensing with AI 先进微系统中的微针可穿戴设备：用人工智能解锁下一代生物传感

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2025-02-27 DOI: 10.1016/j.trac.2025.118208

Ghazala Ashraf , Khalil Ahmed , Ayesha Aziz , Muhammad Asif , Jilie Kong , Xueen Fang

{"title":"Microneedle wearables in advanced microsystems: Unlocking next-generation biosensing with AI","authors":"Ghazala Ashraf , Khalil Ahmed , Ayesha Aziz , Muhammad Asif , Jilie Kong , Xueen Fang","doi":"10.1016/j.trac.2025.118208","DOIUrl":"10.1016/j.trac.2025.118208","url":null,"abstract":"<div><div>Wearable electronics have transformed health monitoring, but the non-invasive, real-time extraction of biomarkers from interstitial fluid (ISF) remains a complex challenge. Microneedle (MN) technologies, integrated with bioelectronics and artificial intelligence (AI), provide a promising solution for continuous health monitoring and personalized therapy. This review explores the design of MN platforms and key sampling mediums, highlighting their role in advanced biosensing applications. It delves into conventional and emerging sensing modalities detailing their integration strategies. Additionally, MN-based assays for biomarkers including glucose, lactate, pH, electrolytes, nucleic acids, and proteins are examined, emphasizing their potential in early disease diagnostics. The review highlights key challenges in the clinical translation of MN-based devices and the integration of AI for improved biomarker calibration. Emerging materials and AI-driven MN platforms show promise for advancing personalized, real-time diagnostics and therapies. However, overcoming issues with ISF biomarker variability, data reliability, and scalability is crucial for their broader clinical adoption.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118208"},"PeriodicalIF":11.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526550","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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Recent advances in chemiresistive gas sensor for acetone detection: Focus on room temperature 用于丙酮检测的化学电阻式气体传感器的最新进展：以室温为重点

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Trends in Analytical Chemistry Pub Date : 2025-02-27 DOI: 10.1016/j.trac.2025.118213

Lu Zhang , Mingyue Zhou , Fanxing Meng , Jinyu Bai , Dong Wang , Mingcong Tang , Zhaofeng Wu

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Synergizing Machine Learning and fluorescent biomolecules: A new era in sensing platforms 协同机器学习和荧光生物分子：传感平台的新时代

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Trends in Analytical Chemistry Pub Date : 2025-02-27 DOI: 10.1016/j.trac.2025.118196

Navjot Saini , Kriti , Ankita Thakur , Sanjeev Saini , Navneet Kaur , Narinder Singh

{"title":"Synergizing Machine Learning and fluorescent biomolecules: A new era in sensing platforms","authors":"Navjot Saini , Kriti , Ankita Thakur , Sanjeev Saini , Navneet Kaur , Narinder Singh","doi":"10.1016/j.trac.2025.118196","DOIUrl":"10.1016/j.trac.2025.118196","url":null,"abstract":"<div><div>Machine Learning (ML) algorithms offer significant advantages over traditional methods, enabling the identification of complex correlations and hidden patterns within data, which enhances efficiency, reduces costs, and improves decision-making. This article provides a comprehensive overview of recent advances in ML-assisted fluorescent peptide and protein-based sensors. Notably, a supervised ML-assisted peptide-based sensor has been developed for the identification of water-soluble polymers, improving environmental and industrial monitoring. ML-assisted sulfonamido-oxine (SOX)-labeled peptides facilitate the quantitation of mitogen-activated protein kinases, advancing sensitive biomarker analysis. An array-based detection system using green fluorescent protein conjugates enables high-throughput protein screening. A deep learning (DL)-assisted fluorophore-labeled peptide sensor array shows promise for non-invasive breast cancer diagnosis with high accuracy. Additionally, a ML-aided sensor array combining antimicrobial peptides and fluorescent proteins enables the discrimination of top clinical isolates, enhancing antimicrobial resistance diagnostics. These innovations in peptide sensor design and ML integration highlight their transformative impact in biological research, disease diagnostics, and environmental monitoring, offering improved sensitivity, selectivity, and performance. This review provides valuable insights for researchers and practitioners in the field of fluorescence-based sensing, ML, and their interdisciplinary applications.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118196"},"PeriodicalIF":11.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551283","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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Phenolic compounds detection and quantification in whole grains: A comprehensive review of recent advancements in analytical methods 全谷物中酚类化合物的检测和定量：分析方法最新进展的综合综述

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Trends in Analytical Chemistry Pub Date : 2025-02-26 DOI: 10.1016/j.trac.2025.118215

Huanhuan Li , Xorlali Nunekpeku , Selorm Yao-Say Solomon Adade , Wei Sheng , Bridget Ama Kwadzokpui , Efakor Beloved Ahlivia , Quansheng Chen

{"title":"Phenolic compounds detection and quantification in whole grains: A comprehensive review of recent advancements in analytical methods","authors":"Huanhuan Li , Xorlali Nunekpeku , Selorm Yao-Say Solomon Adade , Wei Sheng , Bridget Ama Kwadzokpui , Efakor Beloved Ahlivia , Quansheng Chen","doi":"10.1016/j.trac.2025.118215","DOIUrl":"10.1016/j.trac.2025.118215","url":null,"abstract":"<div><div>Phenolic compounds are the most abundant antioxidants in the daily diet and are extensively distributed in plants and plant-derived food sources, including whole grains. Over the past decades, there has been a growing scientific focus on their diverse contributions to human health, given their array of bioactivities encompassing antioxidant, anti-inflammatory, anti-cancer, neuroprotective properties, among others. Hence, the quantification and examination of these compounds stand as fundamental basis of natural product exploration. Many efforts have been undertaken to provide highly sensitive and selective analytical approaches for their identification and characterization. To furnish novel perspectives for future advancement, the present review describes and discusses recent advancements in analytical methodologies for phenolic compound analysis in whole grains, spanning from traditional solvent-based to more robust modern and green extraction methodologies, spectrophotometry, and chromatography, non-destructive spectroscopic methods, and emergent technologies such as biosensors, while exploring into their current challenges and future prospects.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118215"},"PeriodicalIF":11.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529466","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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Recent developments of imaged capillary isoelectric focusing technology for in-depth biopharmaceutical characterization 用于生物制药深度表征的成像毛细管等电聚焦技术的最新进展

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Trends in Analytical Chemistry Pub Date : 2025-02-26 DOI: 10.1016/j.trac.2025.118212

Tao Bo , Feng Yang , Bo Yan , David A. Michels , Tiemin Huang , Janusz Pawliszyn

{"title":"Recent developments of imaged capillary isoelectric focusing technology for in-depth biopharmaceutical characterization","authors":"Tao Bo , Feng Yang , Bo Yan , David A. Michels , Tiemin Huang , Janusz Pawliszyn","doi":"10.1016/j.trac.2025.118212","DOIUrl":"10.1016/j.trac.2025.118212","url":null,"abstract":"<div><div>Imaged capillary isoelectric focusing (icIEF) has made remarkable strides in recent years, presenting the biopharmaceutical industry with a range of innovative solutions to characterize protein charge heterogeneity and streamline the development and manufacturing of biologics. This review highlights the latest advancements in icIEF technology for comprehensive biopharmaceutical characterization. Key innovations, including the development of critical reagents and capillary coatings, advanced icIEF fractionation, cutting-edge icIEF-MS online coupling, and novel applications for protein bio-interactions, are redefining icIEF analytical methodologies and broadening their applicability. These breakthroughs significantly enhance the characterization of complex therapeutic proteins, aiding researchers in mitigating challenges and setbacks during drug development and manufacturing. In describing these advances, we delve into multidisciplinary concepts spanning biology, chemistry, instrument design, and workflow optimization, aiming to inspire further innovations and insights in this dynamic, rapidly evolving field. Furthermore, this review traces the origins and 30-year evolution of icIEF technology by illustrating its continuous progression and expanding impact over time.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118212"},"PeriodicalIF":11.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529586","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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