Trends in Analytical Chemistry最新文献

Data fusion strategies for the integration of diverse non-destructive spectral sensors (NDSS) in food analysis 在食品分析中整合多种无损光谱传感器（NDSS）的数据融合策略

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-04 DOI: 10.1016/j.trac.2024.117957

{"title":"Data fusion strategies for the integration of diverse non-destructive spectral sensors (NDSS) in food analysis","authors":"","doi":"10.1016/j.trac.2024.117957","DOIUrl":"10.1016/j.trac.2024.117957","url":null,"abstract":"<div><p>The evolving landscape of agri-food systems, driven by climate change and population growth, necessitates innovative approaches to ensure food integrity, safety, and sustainability. This review explores the role of data fusion strategies, particularly focusing on non-destructive spectroscopic sensors (NDSS) in three key application contexts: in-field monitoring, on/in-line food processing, and food quality authentication. Various data fusion scenarios, including fusing spectra from different spectroscopic platforms, integrating images and spectra, and combining non-spectroscopic sensor data with spectroscopic ones are reviewed. Focus is set on practical considerations, such as selecting the level of data fusion, defining blocks, variable selection, and validation methods, highlighting the importance of tailored approaches based on research aims and data characteristics.</p><p>While combining information from diverse sensors generally enhances information extraction and modelling performance, their implementation in routine applications is still limited and especially studies focused on data fusion models’ performance over time and their maintenance are lacking.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165993624004400/pdfft?md5=ba7b79557644151f18b5756a5babbdd0&pid=1-s2.0-S0165993624004400-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148646","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}

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Label-free electrochemical immunosensors: A practical guide 无标记电化学免疫传感器：实用指南

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-09-03 DOI: 10.1016/j.trac.2024.117949

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Novel materials and approaches for solid-phase (micro) extraction in LC-MS-based metabolomics 基于 LC-MS 的代谢组学中固相（微）萃取的新型材料和方法

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-30 DOI: 10.1016/j.trac.2024.117941

{"title":"Novel materials and approaches for solid-phase (micro) extraction in LC-MS-based metabolomics","authors":"","doi":"10.1016/j.trac.2024.117941","DOIUrl":"10.1016/j.trac.2024.117941","url":null,"abstract":"<div><p>Metabolomics offers a unique approach to study biological systems. Liquid chromatography coupled to mass spectrometry serves as a powerful analytical tool to analyze complex mixtures of metabolites. However, successful metabolomic analysis relies on sample preparation. While untargeted analysis traditionally favors non-selective procedures like liquid-liquid extraction (LLE), these methods can compromise analytical performance due to limited analyte enrichment and potential matrix interferences. Solid-phase extraction (SPE) has emerged as a well-established and versatile technique for this purpose, offering advantages over other traditional methods like LLE. This review explores the applications of SPE and solid-phase microextraction (SPME) in LC-MS-based metabolomics. We discuss various modes of SPE, ranging from conventional flow-through cartridges and plates to approaches involving the dispersion of sorbent in a sample, as well as sorbents, their properties, and the diverse geometries of support materials employed in SPME. This review underscores the potential of emerging extraction protocols to further accelerate metabolomics research.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165993624004242/pdfft?md5=d89be50ff621326d3a49573d77f783bd&pid=1-s2.0-S0165993624004242-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096089","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}

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Tips and tricks for LC–MS-based metabolomics and lipidomics analysis 基于 LC-MS 的代谢组学和脂质组学分析的技巧和窍门

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-29 DOI: 10.1016/j.trac.2024.117940

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Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review 人工智能在食品质量和安全指标定量分析方面的最新进展：综述

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-29 DOI: 10.1016/j.trac.2024.117944

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Advancing breast cancer diagnosis in 3D: The transformative power of X-ray phase-contrast microtomography for virtual histology 推进乳腺癌的三维诊断：X 射线相位对比显微层析技术在虚拟组织学中的变革力量

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-29 DOI: 10.1016/j.trac.2024.117943

{"title":"Advancing breast cancer diagnosis in 3D: The transformative power of X-ray phase-contrast microtomography for virtual histology","authors":"","doi":"10.1016/j.trac.2024.117943","DOIUrl":"10.1016/j.trac.2024.117943","url":null,"abstract":"<div><p>Breast cancer, a prevalent global malignancy in women, demands accurate tissue alteration detection for effective diagnosis and treatment. Histology, pivotal in diagnosis, faces challenges like time, limited tissue, and lacking comprehensive three-dimensional views. This review explores X-ray microtomography virtual histology as a complementary tool to address histology's limitations. Particularly, phase-contrast techniques offer non-destructive, high-resolution 3D imaging, surpassing traditional histology constraints. Phase-contrast microtomography provides valuable insights into breast tissue alterations, aiding early cancer detection and enhancing diagnostic precision. The role of synchrotron facilities and alternative validation approaches for clinical settings are discussed. Another significant aspect covered in this review is the global shortage of pathologists, which poses a major challenge in the timely and accurate diagnosis of breast cancer. Phase-contrast microtomography can support pathologists by offering digital imaging capabilities, which enable remote consultation and reduce the dependency on physical tissue sections.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122815","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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Challenges and possibilities for the qualitative and quantitative analysis of phosphate metabolites 磷酸盐代谢物定性和定量分析的挑战与机遇

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-29 DOI: 10.1016/j.trac.2024.117934

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Exploring the potential of carbon quantum dots (CQDs) as an advanced nanomaterial for effective sensing and extraction of toxic pollutants 探索碳量子点（CQDs）作为先进纳米材料在有效传感和提取有毒污染物方面的潜力

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-28 DOI: 10.1016/j.trac.2024.117939

{"title":"Exploring the potential of carbon quantum dots (CQDs) as an advanced nanomaterial for effective sensing and extraction of toxic pollutants","authors":"","doi":"10.1016/j.trac.2024.117939","DOIUrl":"10.1016/j.trac.2024.117939","url":null,"abstract":"<div><p>Both organic and inorganic pollutants seriously impact the environment, human health, and ecosystems. Carbon quantum dots (CQDs) and their composites have emerged as promising materials for addressing these environmental issues due to their adaptability, efficiency, and environmentally friendly nature. This study aims to discuss the most recent developments in CQDs-based nanomaterials, focusing on their distinctive structures, synthesis methodologies, characterizations, and applications in environmental science as pollutants extractors and sensors. It studies the potential of nanomaterials based on CQDs for identifying and absorbing contaminants, focusing on their effectiveness in detecting and absorbing hazardous organic chemicals and heavy metals from different environments. The key results include the recognition of distinctive surface characteristics of CQDs-based nanomaterials, which facilitate effective interactions with various pollutants. This enhances their effectiveness in sensor applications and as constituents of extraction materials. This review emphasizes the potential of CQDs-based nanomaterials to transform pollution detection and extraction practices by providing an extensive overview of their utility in environmental science.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136282","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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Unveiling bee pollen's contamination with pesticides and mycotoxins: Current analytical procedures, results and regulation 揭开蜂花粉受农药和霉菌毒素污染的真相：当前的分析程序、结果和监管

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-28 DOI: 10.1016/j.trac.2024.117935

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Recent advances and trends in mid-infrared chem/bio sensors 中红外化学/生物传感器的最新进展和趋势

IF 11.8 1区化学

Trends in Analytical Chemistry Pub Date : 2024-08-27 DOI: 10.1016/j.trac.2024.117916

{"title":"Recent advances and trends in mid-infrared chem/bio sensors","authors":"","doi":"10.1016/j.trac.2024.117916","DOIUrl":"10.1016/j.trac.2024.117916","url":null,"abstract":"<div><p>The Mid-Infrared (MIR) spectral regime has gained interest in biosensor research due to the unique excitation of specific molecular vibrational, rovibrational, and rotational modes of biomarkers and biological molecules, offering inherent selectivity for biomarker detection, which is a key asset for biomedical applications. This review focuses on the role of mid-infrared sensing technologies in biomedicine, emphasizing the crucial requirement for accurate detection and real-time monitoring of biological processes in early disease diagnosis and monitoring of disease progression. Highlighted examples provide insight into the effectiveness of MIR optical biosensors for addressing key biomarkers, underscoring their potential impact in areas including but not limited to personalized medicine and clinical research. Furthermore, we discuss how recently designed and implemented microstructures enhance the sensitivity within these application scenarios. These advancements will be complemented by technical challenges inherent to this evolving field, addressing further sensitivity enhancement, device miniaturization, and system integration, along with advanced data analysis. Future strategies discussed in this review contextualize the convergence of MIR sensing, biomedicine, and the integration of artificial intelligence for comprehensive data analysis and interpretation.</p></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.8,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165993624003996/pdfft?md5=d4498153dcc5ed9a59330389f80819a0&pid=1-s2.0-S0165993624003996-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148644","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