Rapid Concentration and Detection of Bacteria in Milk Using a Microfluidic Surface Acoustic Wave Activated Nanosieve.

acoustic radiation force bacterial detection concentration microfluidics surface acoustic waves ultrasonics

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
16 May 2024
Historique:
medline: 16 5 2024
pubmed: 16 5 2024
entrez: 16 5 2024
Statut: aheadofprint

Résumé

Rapid detection of microbes is a key feature for monitoring food quality. Unfortunately, current detection systems rely on labor-intensive and time-consuming lab-based processes that are not suitable for point-of-interest applications and typically require several days before results are available. Here, we demonstrate a microfluidic system capable of rapidly concentrating, fluorescent staining, and detecting bacteria in unprocessed complex biological media such as milk. This concentration is done using a surface acoustic wave-driven microfluidic device which operates based on the Bjerknes force, a force generated on one particle by another in its close proximity. We exploit this effect by exciting a tightly packed bed of 50 μm polystyrene microparticles temporarily with surface acoustic waves within a microfluidic device to capture and release bacterial cells on demand. The bacterial cells are fluorescently stained during capture and then detected using fluorescence microscopy upon release. This device offers a high capturing efficiency (>80%) and a 34 Colony Forming Units (CFU)/mL limit of detection, which is 1 order of magnitude below that of plate counting at 30 CFU per standard 100 μL plate (or 300 CFU/mL). This can be attained in just 1 h of processing at 10 μL/min. With this system, we demonstrate that bacterial detection from extremely low concentration samples down to the order of ∼10 CFU/mL is possible without requiring any additional external pre- or postprocessing.

Identifiants

pubmed: 38753893
doi: 10.1021/acssensors.4c00291
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Bryan Ang (B)

Department of Mechanical and Aerospace Engineering, Monash University, Clayton 3168, Victoria, Australia.
Centre to Impact Antimicrobial Resistance, Monash University, Clayton 3168, Victoria, Australia.

Thanavit Jirapanjawat (T)

Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton 3168, Victoria, Australia.

Khai Ping Tay (KP)

Department of Mechanical and Aerospace Engineering, Monash University, Clayton 3168, Victoria, Australia.

Dariush Ashtiani (D)

CryoSol-World, Schoutlaan 21, 6002 EA Weert, The Netherlands.

Chris Greening (C)

Centre to Impact Antimicrobial Resistance, Monash University, Clayton 3168, Victoria, Australia.
Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton 3168, Victoria, Australia.

Kellie L Tuck (KL)

School of Chemistry, Monash University, Clayton 3800, Victoria, Australia.

Adrian Neild (A)

Department of Mechanical and Aerospace Engineering, Monash University, Clayton 3168, Victoria, Australia.

Victor J Cadarso (VJ)

Department of Mechanical and Aerospace Engineering, Monash University, Clayton 3168, Victoria, Australia.
Centre to Impact Antimicrobial Resistance, Monash University, Clayton 3168, Victoria, Australia.

Classifications MeSH