TRAC-TRENDS IN ANALYTICAL CHEMISTRY分析化学趋势
TRAC-TRENDS IN ANALYTICAL CHEMISTRY(英文缩写 TRAC-TREND ANAL CHEM),ISSN 0165-9936,eISSN 1879-3142,中文译名:分析化学趋势 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 14.908 | Q1 |
| 2022 | 13.100 | Q1 |
| 2023 | 11.800 | Q1 |
| 2024 | 12.000 | Q1 |
| 2025 | 13.500 | Q1 |
TRAC-TRENDS IN ANALYTICAL CHEMISTRY 最新收录文献
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1. Ambient high-spatial-resolution mass spectrometry imaging: recent advances in technologies and metabolomics studies.
1. 常压高空间分辨率质谱成像：技术与代谢组学研究的最新进展PMID:日期:2026-02-27Achieving high-spatial-resolution in ambient mass spectrometry imaging (MSI) is critical in accurately characterizing the spatial distribution of biomolecules. Ambient MSI enables in situ mapping spatial heterogeneity of metabolites under ambient conditions, facilitating molecular imaging from multicellular structure down to subcellular level. In this review, we first summarized the strategies developed to enhance spatial resolution in ambient MSI, including technological innovations, advances in sample preparation, and data-driven approaches. We then discussed the applications of these techniques in metabolomics studies and addressed current challenges and limitations. Finally, we highlighted emerging opportunities and future directions for achieving ambient high-spatial-resolution MSI.
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2. Multifunctional Nanobody Fusion Proteins in Immunoassays: Diverse Strategies for Enhanced Analytical Performance.
PMID:日期:2025-08-02Nanobodies, derived from camelid heavy-chain antibodies, offer exceptional specificity, stability, and solubility, enabling rapid and sensitive immunoassays. Their small size makes them ideal scaffolds for genetic fusion with reporter proteins, functional peptides, and signal amplification modules. In contrast to conventional antibodies, nanobodies can be precisely engineered at the gene level, allowing directional conjugation and efficient incorporation of signal-enhancing elements. This tunability simplifies assay design and reduces processing steps. Additionally, recombinant expression systems enable stable, scalable, and standardized production of nanobody-based immunoreagents, ensuring reproducibility in diagnostics. In this review, we summarize recent advances in the engineering and application of nanobody fusion proteins in immunoassays, with a particular focus on three main strategies: signal reporting, site-oriented strategies, and multivalency. We highlight how these approaches enhance sensitivity, shorten assay time, and enable multiplex detection. Finally, we discuss future perspectives and remaining challenges in the design and application of nanobody-based platforms for diagnostics.
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3. Nanoplasmonics biosensors: At the frontiers of biomedical diagnostics.
3. 纳米等离子体生物传感器：生物医学诊断的前沿PMID:日期:2024-09-18This 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.
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4. A Reproducibility Crisis for Clinical Metabolomics Studies.
PMID:日期:2024-08-19Cancer is a leading cause of world-wide death and a major subject of clinical studies focused on the identification of new diagnostic tools. An in-depth meta-analysis of 244 clinical metabolomics studies of human serum samples highlights a reproducibility crisis. A total of 2,206 unique metabolites were reported as statistically significant across the 244 studies, but 72% (1,582) of these metabolites were identified by only one study. Further analysis shows a random disparate disagreement in reported directions of metabolite concentration changes when detected by multiple studies. Statistical models revealed that 1,867 of the 2,206 metabolites (85%) are simply statistical noise. Only 3 to 12% of these metabolites reach the threshold of statistical significance for a specific cancer type. Our findings demonstrate the absence of a detectable metabolic response to cancer and provide evidence of a serious need by the metabolomics community to establish widely accepted best practices to improve future outcomes.
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5. Multi-adductomics: Advancing mass spectrometry techniques for comprehensive exposome characterization.
5. 多加合物组学：推进质谱技术以全面表征暴露组PMID:日期:2024-08-05Adductomics, an emerging field within the 'omics sciences, focuses on the formation and prevalence of DNA, RNA, and protein adducts induced by endogenous and exogenous agents in biological systems. These modifications often result from exposure to environmental pollutants, dietary components, and xenobiotics, impacting cellular functions and potentially leading to diseases such as cancer. This review highlights advances in mass spectrometry (MS) that enhance the detection of these critical modifications and discusses current and emerging trends in adductomics, including developments in MS instrument use, screening techniques, and the study of various biomolecular modifications from mono-adducts to complex hybrid crosslinks between different types of biomolecules. The review also considers challenges, including the need for specialized MS spectra databases and multi-omics integration, while emphasizing techniques to distinguish between exogenous and endogenous modifications. The future of adductomics possesses significant potential for enhancing our understanding of health in relation to environmental exposures and precision medicine.
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6. Artificial Intelligence in Metabolomics: A Current Review.
PMID:日期:2024-07-03Metabolomics and artificial intelligence (AI) form a synergistic partnership. Metabolomics generates large datasets comprising hundreds to thousands of metabolites with complex relationships. AI, aiming to mimic human intelligence through computational modeling, possesses extraordinary capabilities for big data analysis. In this review, we provide a recent overview of the methodologies and applications of AI in metabolomics studies in the context of systems biology and human health. We first introduce the AI concept, history, and key algorithms for machine learning and deep learning, summarizing their strengths and weaknesses. We then discuss studies that have successfully used AI across different aspects of metabolomic analysis, including analytical detection, data preprocessing, biomarker discovery, predictive modeling, and multi-omics data integration. Lastly, we discuss the existing challenges and future perspectives in this rapidly evolving field. Despite limitations and challenges, the combination of metabolomics and AI holds great promises for revolutionary advancements in enhancing human health.
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7. Frontiers in Mass Spectrometry-Based Spatial Metabolomics: Current Applications and Challenges in the Context of Biomedical Research.
PMID:日期:2024-04-18Metabolites are critical products and mediators of cellular and tissue function, and key signals in cell-to-cell, organ-to-organ and cross-organism communication. Many of these interactions are spatially segregated. Thus, spatial metabolomics can provide valuable insight into healthy tissue function and disease pathogenesis. Here, we review major mass spectrometry-based spatial metabolomics techniques and the biological insights they have enabled, with a focus on brain and microbiota function and on cancer, neurological diseases and infectious diseases. These techniques also present significant translational utility, for example in cancer diagnosis, and for drug development. However, spatial mass spectrometry techniques still encounter significant challenges, including artifactual features, metabolite annotation, open data, and ethical considerations. Addressing these issues represent the future challenges in this field.
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8. Current smartphone-assisted point-of-care cancer detection: Towards supporting personalized cancer monitoring.
8. 当前智能手机辅助的即时癌症检测：迈向支持个性化癌症监测PMID:日期:2024-04-09With the rising incidence of cancer-related mortality, new enabling technologies are necessary to offer comprehensive molecular profiles of patients in order to assist clinicians to establish an early presumptive diagnosis. Biosensors that are technically comparable to conventional laboratory diagnostics have been developed. However, because the manufacture and operation processes of these biosensors were not well adjusted for end-users as patients, the approach is not optimized in these newly built platforms. Hence, smartphone-assisted biosensors have been developed for point-of-care utilization. They are faster, simpler, and more affordable than standard examinations and first-generation biosensors, however, they raise numerous concerns regarding their applicability for early cancer detection. Therefore, this review focuses primarily on cutting edge developments in smartphone-assisted biosensing platforms that are most relevant to early cancer diagnosis, including optical and electrochemical biosensors, and cancer imaging. What is needed to bring this important technology to realization as early cancer diagnosis tool is discussed.
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9. Single Cell mass spectrometry: Towards quantification of small molecules in individual cells.
PMID:日期:2024-03-19Studying cell heterogeneity can provide a deeper understanding of biological activities, but appropriate studies cannot be performed using traditional bulk analysis methods. The development of diverse single cell bioanalysis methods is in urgent need and of great significance. Mass spectrometry (MS) has been recognized as a powerful technique for bioanalysis for its high sensitivity, wide applicability, label-free detection, and capability for quantitative analysis. In this review, the general development of single cell mass spectrometry (SCMS) field is covered. First, multiple existing SCMS techniques are described and compared. Next, the development of SCMS field is discussed in a chronological order. Last, the latest quantification studies on small molecules using SCMS have been described in detail.
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10. Best Practices in NMR Metabolomics: Current State.
10. 核磁共振代谢组学的最佳实践：现状PMID:日期:2023-12-12A literature survey was conducted to identify current practices used by NMR metabolomics investigators when conducting and reporting their metabolomics studies. A total of 463 papers from 2020 and 80 papers from 2010 were selected from PubMed and were manually analyzed by a team of investigators to assess the extent and completeness of the experimental procedures and protocols reported. A significant number of the papers did not report on essential experimental details, incompletely stated which statistical methods were used, improperly applied supervised multivariate statistical analyses, or lacked validation of statistical models. A large diversity of protocols and software were identified, which suggests a lack of consensus and a relatively limited use of commonly agreed upon standards for conducting and reporting NMR metabolomics studies. The overall intent of the survey is to inform and encourage the NMR metabolomics community to develop and adopt best-practices for the field.