NDLI: Data Quality in Biofilm High-Throughput Routine Analysis: Intralaboratory Protocol Adaptation and Experiment Reproducibility.

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Data Quality in Biofilm High-Throughput Routine Analysis: Intralaboratory Protocol Adaptation and Experiment Reproducibility.

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Data Quality in Biofilm High-Throughput Routine Analysis: Intralaboratory Protocol Adaptation and Experiment Reproducibility.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Jorge, Paula Lourenço, Anália Pereira, Maria Olívia
Description	Country affiliation: Portugal Author Affiliation: Jorge P ( CEB-Centre of Biological Engineering, LIBRO-Laboratory of Research in Biofilms Rosário Oliveira, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.)
Abstract	Biofilm research is growing more diverse and dependent on high-throughput technologies, and the large-scale production of results aggravates data substantiation. In particular, experimental protocols are often adapted to meet the needs of a particular laboratory, and no statistical validation of the modified method is provided. This paper discusses the impact of intralaboratory adaptation and non-rigorous documentation of experimental protocols on biofilm data interchange and validation. The case study is a non-standard, but widely used, workflow for Pseudomonas aeruginosa biofilm development considering three analysis assays: the crystal violet (CV) assay for biomass quantification, the 2,3-bis(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide inner salt (XTT) assay for respiratory activity assessment, and the colony forming units (CFU) assay for determination of cell viability. The ruggedness of the protocol was assessed by introducing small changes in the biofilm growth conditions, which simulate minor protocol adaptations and non- rigorous protocol documentation. Results show that even minor variations in the biofilm growth conditions may affect the results considerably, and that the biofilm analysis assays lack repeatability. Intralaboratory validation of non-standard protocols is found critical to ensure data quality and enable the comparison of results within and among laboratories.
File Format	HTM / HTML
ISSN	10603271
Issue Number	6
Journal	Journal of AOAC International
Volume Number	98
e-ISSN	19447922
Language	English
Publisher	AOAC International
Publisher Date	2015-11-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Analytical Discipline Chemistry Techniques Biofilms Data Accuracy High-throughput Screening Assays Growth & Development Laboratories Reproducibility Of Results Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Analytical Chemistry Pharmacology Food Science Agronomy and Crop Science

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