Current data processing methods and reporting standards for untargeted analysis of volatile organic compounds using direct mass spectrometry: a systematic review.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
K Rosenthal, M R Lindley, M A Turner, E Ratcliffe, E Hunsicker
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引用次数: 0

Abstract

Introduction: Untargeted direct mass spectrometric analysis of volatile organic compounds has many potential applications across fields such as healthcare and food safety. However, robust data processing protocols must be employed to ensure that research is replicable and practical applications can be realised. User-friendly data processing and statistical tools are becoming increasingly available; however, the use of these tools have neither been analysed, nor are they necessarily suited for every data type.

Objectives: This review aims to analyse data processing and analytic workflows currently in use and examine whether methodological reporting is sufficient to enable replication.

Methods: Studies identified from Web of Science and Scopus databases were systematically examined against the inclusion criteria. The experimental, data processing, and data analysis workflows were reviewed for the relevant studies.

Results: From 459 studies identified from the databases, a total of 110 met the inclusion criteria. Very few papers provided enough detail to allow all aspects of the methodology to be replicated accurately, with only three meeting previous guidelines for reporting experimental methods. A wide range of data processing methods were used, with only eight papers (7.3%) employing a largely similar workflow where direct comparability was achievable.

Conclusions: Standardised workflows and reporting systems need to be developed to ensure research in this area is replicable, comparable, and held to a high standard. Thus, allowing the wide-ranging potential applications to be realised.

Abstract Image

利用直接质谱法对挥发性有机化合物进行非目标分析的现行数据处理方法和报告标准:系统综述。
简介:挥发性有机化合物的非定向直接质谱分析在医疗保健和食品安全等领域有许多潜在应用。然而,必须采用稳健的数据处理协议,以确保研究的可复制性和实际应用的可实现性。方便用户使用的数据处理和统计工具越来越多;然而,这些工具的使用既没有经过分析,也不一定适合每种数据类型:本综述旨在分析目前使用的数据处理和分析工作流程,并研究方法报告是否足以进行复制:方法:根据纳入标准对从 Web of Science 和 Scopus 数据库中确定的研究进行系统检查。对相关研究的实验、数据处理和数据分析工作流程进行了审查:从数据库中确定的 459 项研究中,共有 110 项符合纳入标准。只有极少数论文提供了足够详细的信息,以便准确地复制研究方法的所有方面,其中只有三篇符合以前的实验方法报告指南。采用的数据处理方法多种多样,只有 8 篇论文(7.3%)采用了大体相似的工作流程,可以进行直接比较:结论:需要开发标准化的工作流程和报告系统,以确保该领域的研究具有可复制性、可比性和高标准。从而实现广泛的潜在应用。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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