Standards for reporting optical biosensor experiments (STROBE): Improving standards in the reporting of optical biosensor-based data in the literature

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Paul E. Belcher , Anna Moberg , Michael B. Murphy
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引用次数: 0

Abstract

The number of peer-reviewed publications that feature biosensor data increases every year. A search of PubMed using common technique terminology, including bio-layer interferometry (BLI), surface plasmon resonance (SPR) and grating-coupled interferometry (GCI) generated more than 2500 scientific papers from 2022. Compared to 2009, when David Myszka and Rebecca Rich presented their most recent review of biosensor literature (Rich and Myszka, 2011), this number has nearly doubled. With this increasing number of publications comes an increasing need for standardization of the way biosensor data is reported in journals to allow for replication of the experiments that were performed. Biosensor data is often poorly described in papers which makes it difficult, if not impossible, to replicate the experiment. Critical information typically missing includes sample preparation, method settings, and data evaluation details. We have also found published work in which the authors have failed to report the type of sensor that was used, or which biosensor instrumentation was used. To come to terms with this growing problem, we propose a standardization of the way biosensor data is reported in scientific journals. We call this standard STROBE, standards for reporting optical biosensor experiments.
光学生物传感器实验报告标准(STROBE):改进文献中基于光学生物传感器的数据报告标准。
以生物传感器数据为特色的同行评审出版物数量逐年增加。使用常见的技术术语,包括生物层干涉测量法(BLI)、表面等离子体共振(SPR)和光栅耦合干涉测量法(GCI),在PubMed上进行搜索,结果显示2022年以来发表了2500多篇科学论文。与 2009 年大卫-麦兹卡(David Myszka)和丽贝卡-里奇(Rebecca Rich)发表的最新生物传感器文献综述[1]相比,这一数字几乎翻了一番。随着论文数量的不断增加,人们越来越需要对期刊中生物传感器数据的报告方式进行标准化,以便对所进行的实验进行复制。论文中对生物传感器数据的描述往往很差,这使得复制实验变得很困难,甚至是不可能。通常缺少的关键信息包括样品制备、方法设置和数据评估细节。我们还发现,在已发表的论文中,作者没有报告所使用的传感器类型,也没有报告所使用的生物传感器仪器。为了解决这个日益严重的问题,我们建议对科学杂志中生物传感器数据的报告方式进行标准化。我们将这一标准称为 STROBE,即光学生物传感器实验报告标准。
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来源期刊
SLAS Discovery
SLAS Discovery Chemistry-Analytical Chemistry
CiteScore
7.00
自引率
3.20%
发文量
58
审稿时长
39 days
期刊介绍: Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology. SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).
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