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Record W4410893654 · doi:10.1016/j.microb.2025.100401

Dynamic monitoring of Staphylococcus epidermidis biofilm formation using a microfluidic approach

2025· article· en· W4410893654 on OpenAlexafffund
Sahra Fonseca, Jonathan Robidoux, Marie‐Pierre Cayer, Jolianne Matte, Steve J. Charette, Danny Brouard

Bibliographic record

VenueThe Microbe · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsUniversité LavalHéma-Québec
FundersMitacs
KeywordsBiofilmStaphylococcus epidermidisMicrofluidicsMicrobiologyStaphylococcus aureusChemistryNanotechnologyMaterials scienceBiologyBacteria

Abstract

fetched live from OpenAlex

The crystal violet (CV) assay was the standard for quantifying biofilm biomass but is limited by its inability to replicate dynamic environmental conditions. In contrast, microfluidic flow cells provided a promising alternative, enabling real-time monitoring of biofilm development under controlled and continuously changing environments. This study evaluated the performance of different methods for assessing biofilm formation under various growth conditions, using Staphylococcus epidermidis as a model bacterium. S. epidermidis biofilms are particularly challenging in biomaterial-related infections, highlighting the need for accurate methods to assess biofilm dynamics in such contexts. Biofilm formation was evaluated using the CV assay (adapted from ISO 4768) and single-use polydimethylsiloxane (PDMS) microfluidic flow cells. These flow cells featured dual identical channels, which were individually operated by syringe pumps. In the microfluidic system, inoculum of varying concentrations and types were tested with a standard culture medium. This medium was either supplemented with 0.5% glucose or diluted 1/5 to assess its effects on biofilm development. The CV assays showed similar biofilm growth in both standard and glucose-supplemented media. However, the microfluidic system revealed that glucose was detrimental to biofilm formation. The diluted medium condition impacted biofilm formation significantly with the CV assay but had minimal effect in microfluidics. Biofilm-like structures were consistently detected using microfluidics, even under diluted or low-inoculum conditions, whereas the CV assay failed to observe them. The microfluidic approach enabled real-time biofilm monitoring, offering greater sensitivity to medium composition and inoculum effects, while the CV assay reflects static conditions where environmental changes are mediated by biofilm itself. This study highlights the importance of adopting a dynamic approach to studying biofilm growth mechanisms. The microfluidic approach presented in this study was developed for blood bank applications to contribute to advancements in knowledge on transfusion safety in hospital settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.255
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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