Insights into Transient Dynamics of Bacteria-Laden Liquid Bridges

We study the evaporation mechanics and precipitate characterization of the bacteria-laden liquid bridge using experimental and theoretical analysis. Aqueous suspensions of motile and nonmotile <i>Salmonella typhimurium</i> and <i>Pseudomonas aeruginosa</i> typically found in contaminated food and water were used in liquid bridge configuration between hydrophilic substrates. Using the inverse logarithmic evaporation flux model, we study the liquid bridge volume regression using cylindrical and catenoid volume models for various confinement distances. We show that for all confinement distances the volume regression is linear on normalizing both volume and time as in the case of a pure sessile drop. However, in normalized volume and dimensional time space we observe some nonlinearities as the total evaporation time scales non linearly with the confinement distance. The nonlinearities found were captured using the catenoid model. The cylindrical volume model fails to capture the regression trend, whereas the catenoid model conforms to the experimental volume regression data at all confinement distances and the transient liquid bridge interface evolution profile at a high confinement distance. Further, we also study the precipitate pattern and bacterial distribution using micro/nanocharacterization techniques. We show that the average precipitate pattern for both sessile and higher confinement distances resembles coffee-ring-type deposits, although the underlying bacterial distribution differs. For lower confinement, we observe a pattern resulting from a combination of the coffee-ring effect, stick-slick motion, and thin film instability. The reduction in confinement distance causes an altered bacterial agglomeration, resulting in a multipattern network instead of a single circumferential edge deposition. We show that the aerial size of motile bacteria increases with decreasing confinement, whereas the size of nonmotile bacteria remains constant in the precipitate. These findings have a crucial understanding of the establishment of pathogenesis in humans in hospital settings.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2025-03-20
DOI
https://doi.org/10.1021/acs.langmuir.5c00058
Citations
1
Primary Topic
Nanomaterials and Printing Technologies
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insights into Transient Dynamics of Bacteria-Laden Liquid Bridges

Durbar Roy, Dipshikha Chakravortty, Atish Roy Chowdhury, Saptarshi Basu et al.
1 citations
Langmuir
Nanomaterials and Printing Technologies
0.73
article

Insights into Transient Dynamics of Bacteria-Laden Liquid Bridges

Durbar Roy, Dipshikha Chakravortty, Atish Roy Chowdhury, Saptarshi Basu, Kush Kumar Dewangan, S.S.S.P. Rao
article en
1 citations

Abstract

We study the evaporation mechanics and precipitate characterization of the bacteria-laden liquid bridge using experimental and theoretical analysis. Aqueous suspensions of motile and nonmotile <i>Salmonella typhimurium</i> and <i>Pseudomonas aeruginosa</i> typically found in contaminated food and water were used in liquid bridge configuration between hydrophilic substrates. Using the inverse logarithmic evaporation flux model, we study the liquid bridge volume regression using cylindrical and catenoid volume models for various confinement distances. We show that for all confinement distances the volume regression is linear on normalizing both volume and time as in the case of a pure sessile drop. However, in normalized volume and dimensional time space we observe some nonlinearities as the total evaporation time scales non linearly with the confinement distance. The nonlinearities found were captured using the catenoid model. The cylindrical volume model fails to capture the regression trend, whereas the catenoid model conforms to the experimental volume regression data at all confinement distances and the transient liquid bridge interface evolution profile at a high confinement distance. Further, we also study the precipitate pattern and bacterial distribution using micro/nanocharacterization techniques. We show that the average precipitate pattern for both sessile and higher confinement distances resembles coffee-ring-type deposits, although the underlying bacterial distribution differs. For lower confinement, we observe a pattern resulting from a combination of the coffee-ring effect, stick-slick motion, and thin film instability. The reduction in confinement distance causes an altered bacterial agglomeration, resulting in a multipattern network instead of a single circumferential edge deposition. We show that the aerial size of motile bacteria increases with decreasing confinement, whereas the size of nonmotile bacteria remains constant in the precipitate. These findings have a crucial understanding of the establishment of pathogenesis in humans in hospital settings.

LangmuirVol. 41(12)
HUN-REN Centre for Energy Research (HU), Indian Institute of Science Education and Research Thiruvananthapuram (IN), Indian Institute of Science Bangalore (IN)
Science and Engineering Research Board
Clean water and sanitation
Openalex Percentile: Top 30%
Nanomaterials and Printing Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.