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Standards for reporting optical biosensor experiments (STROBE): Improving standards in the reporting of optical
Paul E Belcher1, Anna Moberg2, Michael B Murphy1
1Cytiva, 100 Results Way, Marlborough, MA, USA.
SLAS Discovery : Advancing Life Sciences R & D
|November 2, 2024
Summary
The increasing number of biosensor publications requires standardized reporting. A new standard, STROBE (standards for reporting optical biosensor experiments), is proposed to improve data replication and experimental understanding.
Area of Science:
- Biosensors
- Biophysical Characterization
- Scientific Publishing
Background:
- The volume of peer-reviewed publications utilizing biosensor data, including bio-layer interferometry (BLI), surface plasmon resonance (SPR), and grating-coupled interferometry (GCI), has significantly increased.
- This growth necessitates improved standardization in reporting biosensor experimental details to ensure reproducibility.
Purpose of the Study:
- To address the challenge of inconsistent and incomplete reporting of biosensor data in scientific literature.
- To propose a standardized framework for reporting optical biosensor experiments to enhance data transparency and experimental replication.
Main Methods:
- Literature search of PubMed using common biosensor technique keywords (BLI, SPR, GCI).
- Analysis of publication trends and identification of common omissions in reported experimental details.
- Development of a proposed reporting standard: STROBE (standards for reporting optical biosensor experiments).
Main Results:
- Over 2500 scientific papers featuring biosensor data were published in 2022, nearly doubling since 2009.
- Commonly missing critical information in published biosensor studies includes sample preparation, method settings, data evaluation, sensor type, and instrumentation details.
- Inconsistent reporting hinders the replication of experimental findings.
Conclusions:
- Standardization of biosensor data reporting is crucial for the scientific community.
- The proposed STROBE standard aims to improve the quality and replicability of published optical biosensor experiments.

