Binding of bacteria to magnetic nanoparticles in suspension: Experiments and kinetic models

Abstract With the rise of antimicrobial‐resistant and multi‐drug‐resistant bacteria, the use of magnetic nanoparticles (MNPs) has become a promising tool for separation processes in conjunction with in vitro diagnostics for the rapid identification of bacterial species in various medical and biological fluids. However, there are few studies on the time required for MNPs to successfully capture and remove bacteria from suspensions. This study presents two mathematical models that describe the kinetics of bacterial capture using polydopamine‐coated MNPs (pDA‐MNPs) in phosphate‐buffered saline. The model parameters are derived from data from the capture of Staphylococcus aureus , Staphylococcus epidermidis , and Streptococcus mutans , which exhibit high adherence to pDA‐MNPs. Results show that during the first 3 min, bacterial capture and removal by magnetic particles show second‐order kinetics overall, and first order each with respect to bacterial concentration and to magnetic particle concentration. At longer times, the data are better fit by a model of fast and slow parallel capture mechanisms. pDA‐MNPs capture S. epidermidis faster than S. aureus , and capture S. mutans more slowly than the other bacterial species. Rate constants derived at very high bacterial concentrations (~10 8 CFU/mL) were also found to fit experimental data collected at very low concentrations (~750 CFU/mL), showing applicability of the model spanning several orders of magnitude in bacterial concentration. Analysis of the kinetic parameters provides insights into optimizing the time and MNP concentrations necessary to achieve a desired bacterial capture efficiency in medical or environmental diagnostic applications.

Authors

Institutions

Publication Details

Journal
Biotechnology Progress
Published
2026-05-22
DOI
https://doi.org/10.1002/btpr.88518
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Binding of bacteria to magnetic nanoparticles in suspension: Experiments and kinetic models

Karine Chesnel, Camille Bryner, Justin B. Wood, William G. Pitt et al.
Biotechnology Progress
Biosensors and Analytical Detection
article

Binding of bacteria to magnetic nanoparticles in suspension: Experiments and kinetic models

Karine Chesnel, Camille Bryner, Justin B. Wood, William G. Pitt, Breckin L. Forstrom, Bowen J. Houser, Alyson N. Camacho, Roger G. Harrison, Aaron D. Rappleyea
article en

Abstract

Abstract With the rise of antimicrobial‐resistant and multi‐drug‐resistant bacteria, the use of magnetic nanoparticles (MNPs) has become a promising tool for separation processes in conjunction with in vitro diagnostics for the rapid identification of bacterial species in various medical and biological fluids. However, there are few studies on the time required for MNPs to successfully capture and remove bacteria from suspensions. This study presents two mathematical models that describe the kinetics of bacterial capture using polydopamine‐coated MNPs (pDA‐MNPs) in phosphate‐buffered saline. The model parameters are derived from data from the capture of Staphylococcus aureus , Staphylococcus epidermidis , and Streptococcus mutans , which exhibit high adherence to pDA‐MNPs. Results show that during the first 3 min, bacterial capture and removal by magnetic particles show second‐order kinetics overall, and first order each with respect to bacterial concentration and to magnetic particle concentration. At longer times, the data are better fit by a model of fast and slow parallel capture mechanisms. pDA‐MNPs capture S. epidermidis faster than S. aureus , and capture S. mutans more slowly than the other bacterial species. Rate constants derived at very high bacterial concentrations (~10 8 CFU/mL) were also found to fit experimental data collected at very low concentrations (~750 CFU/mL), showing applicability of the model spanning several orders of magnitude in bacterial concentration. Analysis of the kinetic parameters provides insights into optimizing the time and MNP concentrations necessary to achieve a desired bacterial capture efficiency in medical or environmental diagnostic applications.

Biotechnology Progress
Brigham Young University (US)
Life in Land
Openalex Percentile: Top 9%
Biosensors and Analytical Detection
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.