MASS SPECTROMETRY REVIEWS质谱学评论

MASS SPECTROMETRY REVIEWS(英文缩写 MASS SPECTROM REV),ISSN 0277-7037,eISSN 1098-2787,中文译名:质谱学评论 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。

2026 年数据 · 影响因子
6.000
JCR 分区
Q1
CAS 分区
B2
近一年发文量
19
本站 PubMed 收录统计

发文量统计区间:2025-09-28 至 2026-09-28,按本站收录文献的发表日期统计。

ISSN: 0277-7037 · eISSN: 1098-2787 · 缩写: MASS SPECTROM REV ·中文: 质谱学评论

期刊介绍

选择期刊介绍栏目

期刊简介

Mass Spectrometry Reviews 是一本以质谱学为核心的综述型学术期刊,面向化学、生物化学、生命科学及分析仪器领域的科研人员。期刊系统梳理质谱理论、仪器开发与各类应用方向的重要进展,文章多由领域内活跃学者撰写,强调对已有成果的整合与评述,而非单篇原创研究。其读者群包括从事质谱方法学、组学分析、药物与代谢研究以及仪器研发的高校、研究所和企业人员。

研究方向

主要覆盖质谱基础理论与机制、新型离子化与质量分析技术、仪器设计与联用方法,以及在蛋白质组学、代谢组学、脂质组学、药物分析、环境与临床检测等方向的应用。论文类型以系统性综述和专题评述为主,也包含对重要方法学进展的批判性总结,通常不刊载常规实验研究论文。

期刊特色

研究取向偏重方法学整合与跨领域应用评述,文章篇幅较长、文献覆盖广,强调对研究脉络的梳理和对未来方向的判断。适合已有一定质谱研究基础、需要系统了解某一方向全貌的读者,也适合准备进入新应用领域的课题组作为参考。对写作组织能力和文献把握要求较高。

投稿难度

投稿难度总体偏高,主要因为期刊以约稿和高质量综述为主,对选题新颖性、文献覆盖完整性和评述深度要求严格。建议在投稿前先与编辑沟通选题可行性,确保内容不是已有综述的简单重复,并突出方法学或应用层面的独到视角。仅凭分区或指标判断录用难易并不可靠,需结合具体选题和写作质量评估。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20219.011Q1
20226.600Q1
20236.900Q1
20246.600Q1
20256.000Q1

MASS SPECTROMETRY REVIEWS 最新收录文献

  1. JCR分区: Q1 CAS分区: B2 影响因子: 6

    1. Analysis of Carbohydrates and Glycoconjugates by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry: An Update for 2023-2024.

    作者:
    David J Harvey
    日期:
    2026-09-24

    The use of MALDI mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this comprehensive review is the twelfth update of the original article published in 1999 and brings coverage of the literature to the end of 2024. Although still popular for glycoconjugate analysis, recent years have seen a slight drop in its usage with electrospray and LC-MS techniques becoming more widely used. The review follows the same general format as previous reviews. Much of the material relating to applications is presented in tabular form whereas papers relating to method development are discussed in more detail. The review is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification, and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycated proteins, glycolipids and natural products, and (3) other general areas such as medicine, biopharmaceuticals, industrial processes and glycan synthesis where MALDI is extensively used. As with previous reviews in this series, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. Much of this work is tabulated. MALDI is still an ideal technique for carbohydrate analysis, particularly in its rapidity, ease of use and its ability to produce single ions from each analyte. Improvements in the technique and range of applications show little sign of diminishing.

  2. JCR分区: Q1 CAS分区: B2 影响因子: 6

    2. Focus Issue: Mass Spectrometry in Industry.

    作者:
    Richard B Cole
    日期:
    2026-09-14

    该文献暂无摘要。

  3. JCR分区: Q1 CAS分区: B2 影响因子: 6

    3. Mass Spectrometry in Authentication and Forensic Approaches for Determining the Origin of Hazardous Chemicals.

    作者:
    Carla Orlandi, Grégoire Delaporte, Christine Albaret, Emmanuel Joubert, Anne Bossée, Emilien L Jamin, Laurent Debrauwer
    日期:
    2026-09-07

    Identification of a chemical agent yields insights into its physicochemical properties. By examining the intrinsic characteristics and environment of a compound, information about its history can be gathered. The main objective of authentication/forensic approaches to chemicals is to trace the history of the compound's origin, regardless of its nature (e.g., environmental pollutants, drugs, or toxicants). This review presents several scientific fields that share a common objective: using mass spectrometry (MS) to obtain source information from diverse samples and chemicals. From targeted analysis to the full screening of non-targeted chemical space, direct and coupled MS approaches provide powerful capabilities for addressing source-determination concerns, as described in this review. Novel sampling and ionization methods have proven to have a significant impact on expanding MS applications across diverse sample types. This review covers the main methods for determining chemical origins, ranging from targeted confirmation of known compounds to non-targeted identification of unknown compounds under challenging experimental and matrix-related conditions.

  4. JCR分区: Q1 CAS分区: B2 影响因子: 6

    4. Advances in Mass Spectrometry-Based Proteomics for Kidney Disease Biomarker Discovery and Clinical Translation.

    作者:
    Yingying Ling, Fei Cai, Ling Li, Yonghong Mao, Guisen Li, Xinfang Xie, Zhenyu Sun, Rajeev K Singla, Shuyun Liu, Wanjun Zhao, Yong Zhang
    日期:
    2026-08-22

    The high prevalence and substantial burden of kidney diseases necessitate advanced approaches to elucidate molecular mechanisms and promote precision medicine. Mass spectrometry (MS)-based proteomics has evolved into a widely used analytical platform, delivering high-sensitivity, high-throughput protein profiling capabilities that have contributed substantially to biomarker discovery, mechanistic dissection, and therapeutic target identification across a broad range of kidney diseases. This review provides a comprehensive overview of MS-based proteomics applications in kidney disease research, covering progress in biomarker identification, pathogenic mechanism interrogation, and clinical translation. It highlights methodological advances, emerging trends, and persistent challenges that shape the field. Existing literature has uncovered abundant disease-specific biomarkers and revealed key pathogenic pathways, including podocyte injury-associated protein interaction networks, dysregulated complement activation, and metabolic reprogramming, and have critically assessed their translational potential. Additionally, investigations into posttranslational modifications such as phosphorylation and glycosylation have provided valuable insights for targeted therapies. Collectively, these findings illustrate the contributions of MS-based proteomics to the characterization of disease molecular heterogeneity, the identification of key pathogenic drivers, and the development of precision medicine approaches. This review further addresses current challenges in clinical applications, including sample heterogeneity, data complexity, and standardization issues. We additionally emphasize the critical need for minimum reporting standards and multicenter harmonization to accelerate the clinical translation of renal proteomics. Future research should focus on integrating multiomics and artificial intelligence-driven data mining to enhance precise disease subtyping, dynamic monitoring, and personalized treatment strategies.

  5. JCR分区: Q1 CAS分区: B2 影响因子: 6

    5. Mass Spectrometry-Based Extracellular Vesicle Proteomics for Biomarker Discovery.

    作者:
    Ya-Juan Liu, Juan Peng, Chao Kang
    日期:
    2026-08-03

    Extracellular vesicle (EV) proteomics has emerged as a powerful platform for decoding intercellular communication and advancing biomarker discovery across human diseases. EVs carry proteins that reflect their cells of origin, offering a minimally invasive window into physiological and pathological processes. Mass spectrometry (MS) now enables deep, high-resolution EV proteome profiling, aided by improved isolation and rigorous characterization that ensure sample purity and integrity. Advanced computational pipelines integrating quantitative modeling, spectral-library prediction, machine learning and multi-omics analysis extract meaningful biological signals, revealing subtle disease-associated EV signatures and establishing EV proteomics as a strong platform for biomarker discovery and precision medicine. This review provides an integrated framework linking EV isolation principles, characterization strategies, mass-spectrometric workflows, and computational analysis to the biological and clinical insights they generate. We also highlight key challenges and future directions, including the need for standardized reference materials, unified pre-analytical workflows, and EV proteome reference atlases. Together, these innovations are transforming EV proteomics into a next-generation tool for precision medicine.

  6. JCR分区: Q1 CAS分区: B2 影响因子: 6

    6. The Rise of Top-Down Mass Spectrometry for the Characterization of Oligonucleotide Therapeutics.

    作者:
    Molly S Blevins, Christopher M Crittenden, Bifan Chen
    日期:
    2026-07-09

    The therapeutic landscape has been rapidly expanding beyond traditional small molecules and biologics in recent years with the emergence of oligonucleotide therapeutics. As these oligonucleotide modalities grow in complexity and chemical modifications, conventional digestion-based mass spectrometry strategies start to yield redundant and ambiguous information. Alternatively, the top-down approach has the potential to provide a holistic view of therapeutic oligonucleotides. This review examines the rise of top-down mass spectrometry for the characterization of therapeutic oligonucleotides, with a focus on technological and methodological advances between 2020 and 2025. We cover sample preparation, sample introduction including separation, ionization, mass analysis, fragmentation approaches, data analysis strategies, and a discussion of long oligonucleotide and beyond for oligonucleotide top-down analysis. Finally, we provide a practical top-down workflow guidance on therapeutic oligonucleotides and conclude with a forward-looking perspective on the frontiers of the field.

  7. JCR分区: Q1 CAS分区: B2 影响因子: 6

    7. Comprehensive Tutorial for Computational Methods of Protein Structure Prediction Incorporating Mass Spectrometry Data.

    作者:
    Zachary C Drake, Robert M Bolz, Elijah H Day, Steffen Lindert
    日期:
    2026-07-07

    Here we present a series of tutorials demonstrating the use of various methods which integrate structural mass spectrometry (MS) data with computational protein structure prediction methods. We give usage examples of widely used modeling frameworks, including Rosetta-based approaches (ab initio modeling, comparative modeling, and protein-protein docking) and deep learning methods such as AlphaFold2. We then describe strategies for incorporating covalent labeling, ion mobility, and surface-induced dissociation MS data into these workflows through Rosetta scoring terms and specialized applications. Finally, we provide instructions on calculating structural metrics, such as solvent accessibility, collision cross sections, and energy-resolved MS data and comparing them to actual MS data. We also introduce new PyRosetta implementations of the PARCS algorithm and the SID_ERMS_Rescore application. Together, these tutorials provide a comprehensive framework for integrating computational modeling with structural MS to enhance protein structure prediction.

  8. JCR分区: Q1 CAS分区: B2 影响因子: 6

    8. Mass Spectrometry Insights Into Post-Translational Modifications in Extracellular Vesicles.

    作者:
    Dávid Virág, Krisztián Márk Karvaly, Alexandra Molnár, Mirjam Balbisi, Júlia Németh, Lilla Turiák
    日期:
    2026-06-28

    Extracellular vesicles (EVs) are membrane-enclosed structures secreted by virtually all living cells, serving as essential mediators of intercellular communication in both physiological and pathological processes. There is growing interest in their potential applications as biomarkers, therapeutic targets, and drug delivery systems, which entails the need for a detailed understanding of their molecular composition. The functional cargo of EVs includes all types of biological macromolecules, among which proteins are of particular importance. As the vesicular proteome becomes increasingly mapped, research attention is gradually shifting toward post-translational modifications (PTMs), which fundamentally influence protein function and play key roles in all aspects of vesicular activity, including biogenesis, cargo sorting, recognition, and uptake. In this review, we outline recent advances in the application of mass spectrometry (MS)-based analysis of PTMs in EVs. In this context, we provide an overview of the roles of various PTMs in EV biology, discuss the impact of EV isolation methods on downstream PTM analyses, and address current challenges and approaches related to MS-based investigations. We further highlight key findings concerning specific PTMs, including glycosylation, phosphorylation, acetylation, methylation, lipidation, and small ubiquitin-like modifier (SUMOylation). Finally, we discuss studies focusing on the simultaneous analysis of multiple PTMs, as well as efforts toward multiomic data integration and single-EV characterization to resolve vesicular heterogeneity, highlighting these approaches as cutting-edge directions in the field.

  9. JCR分区: Q1 CAS分区: B2 影响因子: 6

    9. Standardization Challenges and Breakthroughs in Apolipoprotein B Detection: From Immunoassays to LC-MS/MS.

    作者:
    Anqi Pan, Haijian Zhao, Jing Wang, Jiangtao Zhang, Hao Zheng, Chuanbao Zhang, Wenxiang Chen, Tianjiao Zhang
    日期:
    2026-06-24

    Apolipoprotein B (apoB) is a key biomarker for risk assessment and treatment monitoring of atherosclerotic cardiovascular disease (ASCVD). Its clinical value has been validated by multiple studies, and its predictive performance for ASCVD risk is significantly superior to conventional lipid indicators in populations with complex lipid profiles. However, the standardization of apoB detection has long been a core bottleneck restricting its widespread clinical application, as discrepancies in results between different methods and laboratories can biases in clinical decision-making. In recent years, the development of Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) technology has provided a solution for optimizing apoB standardization. Currently, International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) is promoting the development of a primary reference measurement procedure based on mass spectrometry, aiming to achieve apoB standardization traceable to the International System of Units (SI). This review systematically outlines the clinical value of apoB, main detection methods, standardization challenges, and the application and prospects of LC-MS/MS in overcoming these challenges. We aim to provide insights for further optimizing apoB detection standardization.

  10. JCR分区: Q1 CAS分区: B2 影响因子: 6

    10. The Rise of Trapped Ion Mobility Spectrometry: Principles, Applications, and Recent Developments.

    作者:
    Erin M Panczyk, Claudia Martelli, Mark E Ridgeway, Mans Ekeloef, Daniel Hornburg, Benjamin J Jones, Christopher A Wootton, Matthew R Lewis, Stuart Pengelley, Jean-Francois Greisch, Melvin A Park
    日期:
    2026-06-16

    Trapped ion mobility spectrometry (TIMS) is a highly versatile alternative to the more conventional drift tube ion mobility spectrometer (DTIMS). In TIMS, ions are analyzed using an electric field that holds ions stationary against moving gas. In the basic TIMS, ions are accumulated and trapped in the electric field and then eluted over time according to their collision cross section (CCS) as the strength of the electric field is scanned down. The resultant small size and low operating voltage of TIMS compared to prior approaches make it ideal for hybridization with mass spectrometry. Since its introduction and coupling with Time-of-Flight Mass Spectrometry (TOFMS) in 2011, TIMS has been widely and successfully applied in various bioanalytical fields, including proteomics, glycomics, metabolomics, lipidomics, and native mass spectrometry. In particular, the first commercial TIMS-MS instrument introduced by Bruker Daltonics Inc. (timsTOF), launched in 2016, quickly shined as one of the main reference instruments in bottom-up proteomics. The increased peak capacity, resulting from the additional dimension of separation-that is, mobility-leads to mass spectra of reduced complexity and a greater depth of peptide identification. In this retrospective, different designs and operational modes of TIMS will be presented with a focus on the advantages, potentials and challenges of this technology within the fields of the omics sciences, spanning from metabolomics to structural biology, including single cell analysis. Additionally, the newest platforms utilizing TIMS technology will be introduced, with a focus on future applications and direction of the technology.

在 MASS SPECTROMETRY REVIEWS 中搜索更多文献

支持中英文检索 · 智能翻译 · 影响因子 · PDF 下载 · AI 文献阅读

指标接近的期刊