Multinodal Acoustic Trapping Enables High Capacity and High Throughput Enrichment of Extracellular Vesicles and Microparticles in miRNA and MS Proteomics Studies.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
02 03 2021
Historique:
pubmed: 17 2 2021
medline: 22 6 2021
entrez: 16 2 2021
Statut: ppublish

Résumé

We report a new design of an acoustophoretic trapping device with significantly increased capacity and throughput, compared to current commercial acoustic trapping systems. Acoustic trapping enables nanoparticle and extracellular vesicle (EV) enrichment without ultracentrifugation. Current commercial acoustic trapping technology uses an acoustic single-node resonance and typically operates at flow rates <50 μL/min, which limits the processing of the larger samples. Here, we use a larger capillary that supports an acoustic multinode resonance, which increased the seed particle capacity 40 times and throughput 25-40 times compared to single-node systems. The resulting increase in capacity and throughput was demonstrated by isolation of nanogram amounts of microRNA from acoustically trapped urinary EVs within 10 min. Additionally, the improved trapping performance enabled isolation of extracellular vesicles for downstream mass spectrometry analysis. This was demonstrated by the differential protein abundance profiling of urine samples (1-3 mL), derived from the non-trapped versus trapped urine samples.

Identifiants

pubmed: 33592145
doi: 10.1021/acs.analchem.0c04772
pmc: PMC8023533
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3929-3937

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Auteurs

Axel Broman (A)

Department of Biomedical Engineering, Faculty of Engineering, Lund University, 221 84 Lund, Sweden.

Andreas Lenshof (A)

Department of Biomedical Engineering, Faculty of Engineering, Lund University, 221 84 Lund, Sweden.

Mikael Evander (M)

Department of Biomedical Engineering, Faculty of Engineering, Lund University, 221 84 Lund, Sweden.

Lotta Happonen (L)

Department of Clinical Sciences, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.

Anson Ku (A)

Department of Laboratory Medicine, Faculty of Medicine, Lund University, 222 42 Lund, Sweden.

Johan Malmström (J)

Department of Clinical Sciences, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.

Thomas Laurell (T)

Department of Biomedical Engineering, Faculty of Engineering, Lund University, 221 84 Lund, Sweden.

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Classifications MeSH