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Microneedle wearables in advanced microsystems: Unlocking next-generation biosensing with AI
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 ,&nbsp;Khalil Ahmed ,&nbsp;Ayesha Aziz ,&nbsp;Muhammad Asif ,&nbsp;Jilie Kong ,&nbsp;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}
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
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
{"title":"Recent progress of black phosphorus quantum dots: Synthesis method, biological characteristics, and biomedical applications","authors":"Yi He ,&nbsp;Fangyang Shi ,&nbsp;Yaoling Han ,&nbsp;Runze Li ,&nbsp;Jie Wu ,&nbsp;Wei Zhao ,&nbsp;Dongsheng Yu","doi":"10.1016/j.trac.2025.118214","DOIUrl":"10.1016/j.trac.2025.118214","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118214"},"PeriodicalIF":11.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512225","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
The role and choice of molecular descriptors for predicting retention times in HPLC: A comprehensive review
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-25 DOI: 10.1016/j.trac.2025.118207
Elena Bandini , Ardiana Kajtazi , Roman Szucs , Frédéric Lynen
{"title":"The role and choice of molecular descriptors for predicting retention times in HPLC: A comprehensive review","authors":"Elena Bandini ,&nbsp;Ardiana Kajtazi ,&nbsp;Roman Szucs ,&nbsp;Frédéric Lynen","doi":"10.1016/j.trac.2025.118207","DOIUrl":"10.1016/j.trac.2025.118207","url":null,"abstract":"<div><div>This review explores the essential role of molecular descriptors (MDs) and their selection for prediction modelling in the domain of high-performance liquid chromatography (HPLC). Currently, there are no standardized methods for selecting MDs, and there is a general lack of understanding about their impact on chromatography, which is more challenging given the multitude of available descriptors. This review aims to provide a comprehensive overview of the role of feature selection methods and an aid for the reader to navigate through MDs in the field of HPLC. It critically assesses the advantages and limitations of the methodologies used since the understanding of more advanced machine learning models. Furthermore, it evaluates the most influential MDs in HPLC and their relationship to retention time, advocating for pursuing innovative descriptor research, using cutting-edge approaches, and interdisciplinary collaboration to surmount challenges and enhance the quality of predictive models in the field of liquid chromatography.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118207"},"PeriodicalIF":11.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526551","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
Comparing hydrogen-bonded organic frameworks and metal-organic frameworks for biosensor applications
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-24 DOI: 10.1016/j.trac.2025.118211
Navid Rabiee
{"title":"Comparing hydrogen-bonded organic frameworks and metal-organic frameworks for biosensor applications","authors":"Navid Rabiee","doi":"10.1016/j.trac.2025.118211","DOIUrl":"10.1016/j.trac.2025.118211","url":null,"abstract":"<div><div>This paper presents a comparative perspective on the use of hydrogen-bonded organic frameworks (HOFs) and metal-organic frameworks (MOFs) in the development of biosensors. Both HOFs and MOFs have gained significant attention due to their tunable structures, high surface areas, and potential for a wide range of applications, including environmental monitoring, medical diagnostics, and biosensing. HOFs, with their non-metallic nature and reliance on hydrogen bonds, offer unique advantages such as easier synthesis, biocompatibility, and enhanced stability in certain environments. In contrast, MOFs, which incorporate metal centers, exhibit superior mechanical strength, higher stability, and versatility in sensing a broader range of analytes. This paper reviews the key features, advantages, and limitations of HOFs and MOFs in the context of biosensor development. It highlights recent advancements in their applications for detecting biological targets, and exploring their sensitivity, selectivity, and response times. Additionally, the paper discusses the challenges in integrating these materials into functional biosensors and provides insights into their future potential for improving diagnostic tools, environmental monitoring, and healthcare applications. Also, the paper offers a critical evaluation of how HOFs and MOFs can complement each other in advancing biosensor technology.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118211"},"PeriodicalIF":11.8,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508092","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
Smart polymers advance analytical chemistry
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-22 DOI: 10.1016/j.trac.2025.118198
Yahui Zhang , Xinjia Zhao , Guangyan Qing
{"title":"Smart polymers advance analytical chemistry","authors":"Yahui Zhang ,&nbsp;Xinjia Zhao ,&nbsp;Guangyan Qing","doi":"10.1016/j.trac.2025.118198","DOIUrl":"10.1016/j.trac.2025.118198","url":null,"abstract":"<div><div>The “precision medicine” project put forward higher requirements for analytical chemistry, centering on new material development. Given the increasing diversity of complex samples and rising demands on analytical methods, breakthroughs in the creation of analytical materials that offer selectivity, sensitivity, speed, and specificity are required. As a star system in material science, smart polymers can respond to subtle changes in external stimuli, leading to significant conformational changes in their polymer chains, and further translating, transferring, and amplifying the stimulus signals into macroscopic properties of the material. Their excellent controllability and adjustability in both structures and functions inject fresh energy into the advancement of analytic methods. This review concisely presents the latest research regarding the advancements of smart polymers in analytical chemistry, and furthermore proposes the challenges and feasible solutions that smart polymers encounter during design and application. These materials will accelerate the arrival of a new era of precision medicine.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118198"},"PeriodicalIF":11.8,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478633","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
Corrigendum to “Multidimensional single-cell analysis: Diverse strategies and emerging applications in the life sciences” [TrAC Trends Anal. Chem. 185 (2025) 118170]
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-22 DOI: 10.1016/j.trac.2025.118197
Boyang Zhang , Xinyue Lan , Siyuan Tan , Zehu Xie , Longjiao Zhu , Xiaoyun Gong , Xinhua Dai , Xiang Fang , Wentao Xu
{"title":"Corrigendum to “Multidimensional single-cell analysis: Diverse strategies and emerging applications in the life sciences” [TrAC Trends Anal. Chem. 185 (2025) 118170]","authors":"Boyang Zhang ,&nbsp;Xinyue Lan ,&nbsp;Siyuan Tan ,&nbsp;Zehu Xie ,&nbsp;Longjiao Zhu ,&nbsp;Xiaoyun Gong ,&nbsp;Xinhua Dai ,&nbsp;Xiang Fang ,&nbsp;Wentao Xu","doi":"10.1016/j.trac.2025.118197","DOIUrl":"10.1016/j.trac.2025.118197","url":null,"abstract":"","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"186 ","pages":"Article 118197"},"PeriodicalIF":11.8,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Methods for sample pretreatment and detection of per- and polyfluoroalkyl substances in biological samples: A review
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-21 DOI: 10.1016/j.trac.2025.118206
Yuanxing Liu, Wenmei Zhang, Guizhen Zhu, Tong Pei, Guangsheng Guo, Xiayan Wang, Yaoyao Zhao
{"title":"Methods for sample pretreatment and detection of per- and polyfluoroalkyl substances in biological samples: A review","authors":"Yuanxing Liu,&nbsp;Wenmei Zhang,&nbsp;Guizhen Zhu,&nbsp;Tong Pei,&nbsp;Guangsheng Guo,&nbsp;Xiayan Wang,&nbsp;Yaoyao Zhao","doi":"10.1016/j.trac.2025.118206","DOIUrl":"10.1016/j.trac.2025.118206","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants that exhibit various transmission routes, ubiquity in the environment and human body, and toxicity to organisms. Accurately analyzing the types and concentrations of PFAS in organisms, along with their health impacts, has become a significant public concern. The primary challenge in detecting PFAS in biological samples is the complexity of the samples. Therefore, a sample pre-treatment procedure is commonly required before the analysis of biological samples. This review summarizes the latest advancements in the instrumental detection methods for PFAS in biological samples over the past five years, with a specific focus on technical aspects including sample pre-treatment strategies. Additionally, it provides a brief outlook on the future development trends of these methods.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"187 ","pages":"Article 118206"},"PeriodicalIF":11.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512224","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
Corrigendum to “Harnessing CRISPR technology for next-generation microphysiological systems” [Trends Anal. Chem. 185 (2025) 118164]
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-21 DOI: 10.1016/j.trac.2025.118192
Sojin Song , Hyun Wook Kang , Minjin Kang , Seok Chung , Nakwon Choi , Hong Nam Kim , Young Joon Sung
{"title":"Corrigendum to “Harnessing CRISPR technology for next-generation microphysiological systems” [Trends Anal. Chem. 185 (2025) 118164]","authors":"Sojin Song ,&nbsp;Hyun Wook Kang ,&nbsp;Minjin Kang ,&nbsp;Seok Chung ,&nbsp;Nakwon Choi ,&nbsp;Hong Nam Kim ,&nbsp;Young Joon Sung","doi":"10.1016/j.trac.2025.118192","DOIUrl":"10.1016/j.trac.2025.118192","url":null,"abstract":"","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"186 ","pages":"Article 118192"},"PeriodicalIF":11.8,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nondestructive optical and spectroscopic techniques combined with machine learning for identifying solid waste: A review
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-15 DOI: 10.1016/j.trac.2025.118195
Yi-Lin Shen , Dong-Ying Lan , Pin-Jing He , Ya-Ping Qi , Wei Peng , Fan Lü , Hua Zhang
{"title":"Nondestructive optical and spectroscopic techniques combined with machine learning for identifying solid waste: A review","authors":"Yi-Lin Shen ,&nbsp;Dong-Ying Lan ,&nbsp;Pin-Jing He ,&nbsp;Ya-Ping Qi ,&nbsp;Wei Peng ,&nbsp;Fan Lü ,&nbsp;Hua Zhang","doi":"10.1016/j.trac.2025.118195","DOIUrl":"10.1016/j.trac.2025.118195","url":null,"abstract":"<div><div>Characterizing solid waste is crucial for effective waste management strategies. Traditional waste analysis methods are laborious, time-consuming, and destructive, prompting the emergence of nondestructive techniques. The adoption of efficient machine learning and deep learning methods can enhance data processing and recognition accuracy. However, previous reviews have focused on individual analytical techniques, lacking comprehensive comparisons and systematic summaries. This review aims to compare and discuss rapid and nondestructive optical and spectroscopic techniques, including computer vision, vibrational spectroscopy, hyperspectral imaging, and thermal imaging, combined with the latest developed algorithms to improve solid waste identification and characterization. These techniques have been applied in waste classification and sorting, detecting macro and microplastics, recognizing harmful contamination, and predicting chemical properties. While demonstrating high performance, limitations and challenges remain. Future research is necessary on dual-sensor platforms and deeper exploration of solid waste properties. This review will guide the advancement of nondestructive techniques for rapid solid waste recognition.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"186 ","pages":"Article 118195"},"PeriodicalIF":11.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445019","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 nanomaterials based laser desorption/ionization mass spectrometry for metabolic analysis
IF 11.8 1区 化学
Trends in Analytical Chemistry Pub Date : 2025-02-14 DOI: 10.1016/j.trac.2025.118190
Chenjie Yang , Shuangshuang Ji , Shun Shen , Hailong Yu , Chunhui Deng
{"title":"Advances in nanomaterials based laser desorption/ionization mass spectrometry for metabolic analysis","authors":"Chenjie Yang ,&nbsp;Shuangshuang Ji ,&nbsp;Shun Shen ,&nbsp;Hailong Yu ,&nbsp;Chunhui Deng","doi":"10.1016/j.trac.2025.118190","DOIUrl":"10.1016/j.trac.2025.118190","url":null,"abstract":"<div><div>Laser desorption/ionization mass spectrometry (LDI-MS) has emerged as a promising analytical tool for biomolecules analysis due to its high throughput, fast analysis speed, and simple sample preparation. The emerging of nanomaterials substrates make it a pivotal technique for metabolic analysis which overcome the limitations of traditional organic matrices by providing a non-interference background, enhanced desorption/ionization efficiency, and superior thermal and chemical stability, and ease of functionalization. In recent years, a variety of nanomaterials including noble metals, silicon/carbon-based nanomaterials, metal oxides, metal/covalent-organic frameworks, and hybrids nanomaterials have been explored. This review, with a focus on an overview of nanomaterial substrates, highlights the mechanism of LDI-MS, its applications in biofluids/exosomes metabolic analysis for disease diagnosis, and MALDI-MS imaging. Furthermore, the integration of advanced machine learning algorithms and metabolic fingerprints has significantly improved the diagnostic performance in specificity, sensitivity, accuracy, etc. Finally, we discussed the prospects of nanomaterial-based LDI-MS for metabolic analysis, emphasizing both its potential and challenges in clinical applications.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"186 ","pages":"Article 118190"},"PeriodicalIF":11.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465342","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
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