Trends in Analytical Chemistry最新文献_第7页

Shining light on biosensors: Chemiluminescence and bioluminescence in enabling technologies 照亮生物传感器：使能技术中的化学发光和生物发光

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-21 DOI: 10.1016/j.trac.2024.117975

Barbara Roda , Sapna K. Deo , Gregory O'Connor , Michael Moraskie , Stefano Giordani , Valentina Marassi , Aldo Roda , Sylvia Daunert

{"title":"Shining light on biosensors: Chemiluminescence and bioluminescence in enabling technologies","authors":"Barbara Roda , Sapna K. Deo , Gregory O'Connor , Michael Moraskie , Stefano Giordani , Valentina Marassi , Aldo Roda , Sylvia Daunert","doi":"10.1016/j.trac.2024.117975","DOIUrl":"10.1016/j.trac.2024.117975","url":null,"abstract":"<div><div>Chemiluminescence (CL) and bioluminescence (BL) are both fascinating natural phenomena involving the emission of light by a chemical reaction without the need for an excitation source. Both CL and BL have been used extensively in research and technology development and have become valuable tools in fields ranging from chemistry to medicine and beyond. Specifically, they offer unique advantages in the design of highly sensitive and specific detection probes for biosensors. In the CL field, novel probe designs, integration of nanomaterials, and synthetic strategies have led to enhanced sensitivity, selectivity, and versatility in biosensor applications. This in combination with portable microfluidic technologies has facilitated the detection and quantification of biomolecules, metabolites, pathogens, and environmental pollutants with high accuracy and low cost. Similarly, the exploration of bioluminescent proteins has led to the engineering of genetically encoded bioluminescent probes enabling the development of biosensors, molecular diagnostics methods, and real-time imaging and detection within living systems. Further, the development of bioluminescent reporter assays and biosensors has shown application in high-throughput screening, drug discovery, and biological mechanistic studies. The integration of BL and CL technologies into point-of-care devices has found applications in medical diagnostics, environmental monitoring, and food safety. This review highlights recent advancements in both CL and BL technologies, mainly focusing on their implications in biosensor development.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117975"},"PeriodicalIF":11.8,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322962","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

Advancements in screening systems for active ingredients in traditional Chinese medicines using ligand fishing technique 利用配体钓技术筛选中药活性成分系统的进展

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-21 DOI: 10.1016/j.trac.2024.117983

Yi Qin , Ying Yan , Jie Zhou , Xun Gao , Longshan Zhao , Xuefeng Guan

{"title":"Advancements in screening systems for active ingredients in traditional Chinese medicines using ligand fishing technique","authors":"Yi Qin , Ying Yan , Jie Zhou , Xun Gao , Longshan Zhao , Xuefeng Guan","doi":"10.1016/j.trac.2024.117983","DOIUrl":"10.1016/j.trac.2024.117983","url":null,"abstract":"<div><div>Natural products have been a significant source of lead compounds in modern drug discovery. Compared to traditional techniques for active ingredient screening, affinity-based ligand fishing offers decent specificity, high efficiency, simplicity of operation, and high throughput. In recent years, this technique has been developed and successfully used to screen bioactive chemicals from natural products, making it the most practical and successful method for screening specific ligands from complex matrices. The strategy of \"ligand fishing\" has been summarized in this paper based on recent publications. The separation principles of ligand fishing for the screening and identification of active ingredients in traditional Chinese medicines (TCMs) using various analytical techniques were reviewed. In addition, based on the deficiencies of current drug discovery approaches, the future development of various new methodologies to screen for active compounds from TCMs were reviewed. These new methodologies have the potential to facilitate faster and more effective drug development.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117983"},"PeriodicalIF":11.8,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315844","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 sensors in precision agriculture: Assessing advances and challenges in soil nutrient determination 精准农业中的便携式传感器：评估土壤养分测定的进步与挑战

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-21 DOI: 10.1016/j.trac.2024.117981

Abhishesh Pal , Satish Kumar Dubey , Sanket Goel , Prasanta K. Kalita

引用次数: 0

Biosensors for cancer detection: A review 癌症检测生物传感器：综述

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-19 DOI: 10.1016/j.trac.2024.117978

Sourav Sarkar , Satakshi Hazra , Sanjukta Patra , Manashjit Gogoi

引用次数: 0

Advances in biosensor technologies for infectious diseases detection 用于检测传染病的生物传感器技术的进步

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-19 DOI: 10.1016/j.trac.2024.117979

Sattar Akbari Nakhjavani , Hadi Mirzajani , Sandro Carrara , Mehmet C. Onbaşlı

{"title":"Advances in biosensor technologies for infectious diseases detection","authors":"Sattar Akbari Nakhjavani , Hadi Mirzajani , Sandro Carrara , Mehmet C. Onbaşlı","doi":"10.1016/j.trac.2024.117979","DOIUrl":"10.1016/j.trac.2024.117979","url":null,"abstract":"<div><div>Being responsible for almost 15 % of the deaths globally, infectious diseases (IDs) are considered as a major health challenge, which was lately emphasized by the COVID-19 pandemic once again. Data form COVID pandemic revealed that early and timely detection of pathogens plays an undeniable role in controlling the spread of the disease and provides a time-effective medical interventions and more efficient disease management. To address the shortcomings of the traditional methods, the emergence of biosensors facilitated fast, accurate, robust, real-time, and on-site detection of various pathogens. In this paper, the recent advances in the development of biosensing technologies for detection of IDs are comprehensively explored considering their both detection methods (electrochemical, electrochemiluminescence, and capacitive) as well as proposed biorecognition elements (antibodies, aptamers, natural DNA fragments). Furthermore, the role of nanomaterials in enhancing the biosensors’ performance are highlighted, while other innovative fluidics, such as paper-based microfabricated systems, are also considered.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117979"},"PeriodicalIF":11.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319542","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

Nanoplasmonics biosensors: At the frontiers of biomedical diagnostics 纳米光子学生物传感器：生物医学诊断前沿

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-18 DOI: 10.1016/j.trac.2024.117973

Aidan J. Canning , Joy Q. Li , Supriya Atta , Hsin-Neng Wang , Tuan Vo-Dinh

{"title":"Nanoplasmonics biosensors: At the frontiers of biomedical diagnostics","authors":"Aidan J. Canning , Joy Q. Li , Supriya Atta , Hsin-Neng Wang , Tuan Vo-Dinh","doi":"10.1016/j.trac.2024.117973","DOIUrl":"10.1016/j.trac.2024.117973","url":null,"abstract":"<div><p>This article presents an overview of various nanoplasmonics biosensors and their diverse applications, focusing on recent developments in our laboratory. We describe the versatility and effectiveness of different plasmonics-active platforms, ranging from solid substrates to adaptable nanoparticles like gold nanostars and nanorattles. The “Inverse Molecular Sentinel” (iMS) biosensing technology uses surface-enhanced Raman scattering (SERS) to detect nucleotide biomarkers associated with diseases ranging from acute infections to several types of cancer. We have also developed SERS-based nanochip systems capable of detecting DNA targets related to infectious disease biomarkers such as HIV, malaria, and dengue, promising advancements in global health diagnostics. Further, nanorattle-based biosensors are designed as \"lab-in-a-stick\" devices for rapid head and neck cancer diagnosis. Other technologies include plasmonics-enhanced lateral flow immunoassay systems, smartphone-based biosensing, and implantable biosensors or \"smart tattoo\" systems. These nanoplasmonics biosensors open new frontiers to rapid, simple, and effective detection systems for biomedical diagnostics.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117973"},"PeriodicalIF":11.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272098","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 direct effects of micro- and nanoplastics on rice and wheat 微塑料和纳米塑料对水稻和小麦的直接影响

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-17 DOI: 10.1016/j.trac.2024.117976

Guanglong Chen , Mingyu Chen , Wenjing Wang , Wanjing Liu , Hongping Liao , Zhen Li , Jun Wang

引用次数: 0

Advances in machine learning-assisted SERS sensing towards food safety and biomedical analysis 机器学习辅助 SERS 传感技术在食品安全和生物医学分析方面的进展

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-17 DOI: 10.1016/j.trac.2024.117974

Yilin Dong , Jiaying Hu , Jiali Jin , Haibo Zhou , Shaoyue Jin , Danting Yang

{"title":"Advances in machine learning-assisted SERS sensing towards food safety and biomedical analysis","authors":"Yilin Dong , Jiaying Hu , Jiali Jin , Haibo Zhou , Shaoyue Jin , Danting Yang","doi":"10.1016/j.trac.2024.117974","DOIUrl":"10.1016/j.trac.2024.117974","url":null,"abstract":"<div><div>Surface-enhanced Raman scattering, has extensive applications in the fields of medicine and food due to its high-sensitivity, speed, non-destructive nature, and cost-effectiveness. The integration of machine learning enhances the practical application of SERS by leveraging its autonomous learning capabilities and exceptional data processing power to achieve accurate and sensitive qualitative and quantitative analysis. This review commences with an introduction to SERS and progresses through discussions on data collection and pre-processing, feature extraction, and algorithms in machine learning models. It then examines the recent application of ML-assisted SERS in food safety, focusing on detecting additives, identifying bacteria, and analyzing internal components. In the realm of biomedical analysis, the review covers advancements in identifying DNA, microorganisms, biomarkers, and analyzing biological fluids and drugs. Finally, it provides a summary of current research and offers perspectives on the future application of ML-assisted SERS in these fields.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117974"},"PeriodicalIF":11.8,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322959","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

Diagnostic potential of breath analysis – Focus on the dynamics of volatile organic compounds 呼气分析的诊断潜力--关注挥发性有机化合物的动态变化

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-17 DOI: 10.1016/j.trac.2024.117977

Wolfram Miekisch, Pritam Sukul, Jochen K. Schubert

{"title":"Diagnostic potential of breath analysis – Focus on the dynamics of volatile organic compounds","authors":"Wolfram Miekisch, Pritam Sukul, Jochen K. Schubert","doi":"10.1016/j.trac.2024.117977","DOIUrl":"10.1016/j.trac.2024.117977","url":null,"abstract":"<div><div>Analysis of exhaled volatile organic compounds (VOCs) holds promise for the development of new and non-invasive procedures in many areas of clinical and home care applications. Recent research mainly focused onto cross-sectional pilot studies with single point measurements in order to detect specific VOC markers or marker sets for diseases such as cancer, infections or diabetes. Actual studies have shown the highly dynamic behavior of exhaled VOC profiles related to factors such as exposure, nutrition, exercise, medication but also to physiology and clinical interventions. Single point analyses cannot take into account neither the fundamentally dynamic nature of exhaled substance profiles nor can they sufficiently reflect the kinetics of exogenous contaminants and confounders and are, therefore, prone to erroneous interpretation, especially if single point analyses are applied for primary diagnostic purposes. These disadvantages cannot be overcome by means of any statistics as complex and sophisticated these algorithms may be.</div><div>While unique VOC markers for certain diseases could not be confirmed in independent studies, analytical techniques and tools to identify and monitor VOCs as well as the knowledge on exhaled VOCs have developed significantly during the last two decades of breath research.</div><div>As dynamic VOC profiling provides valuable information on kinetics of markers and confounders, it offers huge and so far unexplored potential for physiological, metabolic, therapeutic and environmental monitoring. Driven by new and innovative technologies such as real time mass spectrometry and highly specific sensor systems, future applications may range from home care to ICU monitoring.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"180 ","pages":"Article 117977"},"PeriodicalIF":11.8,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165993624004606/pdfft?md5=f312f668aceb8b0b49533360c703aff8&pid=1-s2.0-S0165993624004606-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312423","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

Strategies for enhancing the selectivity of quantum dot-based fluorometric methods 提高基于量子点的荧光测定法选择性的策略

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-14 DOI: 10.1016/j.trac.2024.117972

Rodolfo M.M. Santana , Leila S.V. Barbosa , Leandro G. Benzi , Rafael C. Castro , David S.M. Ribeiro , Maria Graças A. Korn , João L.M. Santos , Leonardo S.G. Teixeira

引用次数: 0