Trends in Analytical Chemistry最新文献

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Illuminating extracellular vesicles with advanced fluorescence biosensing technologies

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

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.

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引用次数: 0

Advances in imaging techniques for real-time microbial visualization in wastewater treatment reactors: Challenges, applications, and process optimization

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-03-05 DOI: 10.1016/j.trac.2025.118227

Arukula Deepa , Anthati Mastan , Viswanath Buddolla

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.

{"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}

引用次数: 0

Design strategies of fluorescent covalent organic frameworks and visual on-site monitoring of food freshness: A state-of-the-art review

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

Owing to the high demand for fresh food and its perishability and fast inventory turnover, real-time monitoring of food freshness has gradually attracted widespread attention. The development of sensors that can intelligently monitor the freshness of food in real time can not only help consumers make optimal decisions and reduce economic losses but also make important contributions to ensuring the nutrition and safety of food. Covalent organic frameworks (COFs) are a class of highly crystalline organic porous materials with large specific surface areas, high porosities and tuneable structures that can be used to construct platforms for fluorescence sensing. Fluorescent sensors based on COFs have been gradually applied as effective tools for determining food freshness. The aim of this work is to facilitate the development of a more accurate and comprehensive platform for food freshness determination using fluorescent COFs.

引用次数: 0

Non-destructive identification of microplastics in soil using spectroscopy and hyperspectral imaging

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

The ecological and biological risks associated with microplastics have been increasing in recent years. The standard procedures for soil microplastic identification are time-consuming and require standardization. This study provides an in-depth examination of non-destructive methods for detecting soil microplastics, namely spectroscopy and hyperspectral imaging. Existing approaches, difficulties, and research in this field are presented, highlighting the necessity for an extensive library and sophisticated modeling to address the diverse characteristics of soils and microplastics. This study also identifies knowledge gaps and offers recommendations for future research to improve our understanding of and ability to handle further microplastic contamination.

引用次数: 0

Microneedle wearables in advanced microsystems: Unlocking next-generation biosensing with AI

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

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.

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引用次数: 0

Recent advances in chemiresistive gas sensor for acetone detection: Focus on room temperature

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

Acetone is a harmful volatile organic compound and a key biomarker for metabolic health. Room temperature (RT) gas sensors have the characteristics of low power consumption, high safety, and easy integration, making them an ideal choice for building non-invasive acetone monitoring. With AI and Internet of Things advancements, RT acetone sensors, especially those with miniaturized and wearable features, are expected to gain significant future interest. This review systematically summarizes the possible sensing mechanisms (oxygen species adsorption, direct electron transfer and electron scattering effects) and internal/external influencing factors of acetone sensors at RT. The different types of materials for RT acetone detection are classified. Besides, the state-of-the-art portable/wearable sensing devices for RT acetone detection are presented. Finally, the challenges that must be solved in the move to the continuous development of RT gas sensors are clearly discussed.

引用次数: 0

Synergizing Machine Learning and fluorescent biomolecules: A new era in sensing platforms

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

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.

{"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}

引用次数: 0

Phenolic compounds detection and quantification in whole grains: A comprehensive review of recent advancements in analytical methods

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

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.

{"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}

引用次数: 0

Recent developments of imaged capillary isoelectric focusing technology for in-depth biopharmaceutical characterization

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

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

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.

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引用次数: 0

Recent progress of black phosphorus quantum dots: Synthesis method, biological characteristics, and biomedical applications

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry

Pub Date : 2025-02-26 DOI: 10.1016/j.trac.2025.118214

Yi He , Fangyang Shi , Yaoling Han , Runze Li , Jie Wu , Wei Zhao , Dongsheng Yu

Zero-dimensional (0D) black phosphorus quantum dots (BPQDs), a novel manifestation of black phosphorus (BP), have garnered significant attention due to their exceptional properties and vast potential across various applications, positioning them as a promising functional nanomaterial in the biomedical field. Notable for their ease of functionalization, distinctive optical and electrical properties, excellent biocompatibility, and large specific surface area, BPQDs have been extensively investigated in bioimaging, biosensing, drug delivery, and cancer therapy. This review focuses on the synthesis methods, optical and electrical properties, biocompatibility, and biomedical applications of BPQDs, while also addressing future opportunities and challenges.

引用次数: 0

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