The Open SprayBot: A high-throughput paper spray mass spectrometry platform for disease screening.

3D-printing High-throughput Open-source Paper-spray mass spectrometry

Journal

HardwareX
ISSN: 2468-0672
Titre abrégé: HardwareX
Pays: England
ID NLM: 101710262

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 14 02 2024
revised: 07 06 2024
accepted: 29 06 2024
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 29 7 2024
Statut: epublish

Résumé

Newborn disease screening increases survival, improves quality of life and reduces treatment costs for healthcare systems. Mass spectrometry (MS) is an effective method for metabolic screening. However, conventional analytical methods require biofluid handling and cooling conditions during transport, making the logistics difficult and expensive, especially for remote regions. 'Paper-spray' (PS) ionization generates a charged solvent spray from samples deposited on paper strips. Therefore, samples can be applied on a suitable matrix and shipped as dried spots to diagnostic laboratories with standard postal or messenger services. We built a robotic platform, the 'Open SprayBot', to automatically analyze paper-deposited samples via PS-MS and increase the sample throughput. The system is operated via RUMBA32 and Arduino Mega boards. A commercial syringe pump and power supply provide solvent application and electrical current required for PS-MS. The usability of the Open SprayBot was demonstrated by quantifying palmitoyl-l-carnitine, a common biomarker in newborn screening.

Identifiants

pubmed: 39071222
doi: 10.1016/j.ohx.2024.e00551
pii: S2468-0672(24)00045-2
pmc: PMC11283016
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e00551

Informations de copyright

© 2024 The Authors. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. RW is CEO and shareholder of Kuturabi SA de CV.

Auteurs

Nancy Shyrley García-Rojas (NS)

Laboratorio de Análisis Bioquímico e Instrumental, Unidad de Genómica Avanzada, Cinvestav, Km. 9.6 Libramiento Norte, Carretera Irapuato-León, Irapuato, Guanajuato, México.
Department of Biological Science, University of Alberta, Edmonton, Canada.

Héctor Guillén-Alonso (H)

Laboratorio de Análisis Bioquímico e Instrumental, Unidad de Genómica Avanzada, Cinvestav, Km. 9.6 Libramiento Norte, Carretera Irapuato-León, Irapuato, Guanajuato, México.
Department of Biochemical Engineering, National Technological Institute, Celaya, Mexico.

Scott MacKay (S)

Department of Biological Science, University of Alberta, Edmonton, Canada.

Claudia Torres-Calzada (C)

Department of Biological Science, University of Alberta, Edmonton, Canada.

Leonardo Daniel Soto-Rodriguez (LD)

Laboratorio de Análisis Bioquímico e Instrumental, Unidad de Genómica Avanzada, Cinvestav, Km. 9.6 Libramiento Norte, Carretera Irapuato-León, Irapuato, Guanajuato, México.

Robert Winkler (R)

Laboratorio de Análisis Bioquímico e Instrumental, Unidad de Genómica Avanzada, Cinvestav, Km. 9.6 Libramiento Norte, Carretera Irapuato-León, Irapuato, Guanajuato, México.

David S Wishart (DS)

Department of Biological Science, University of Alberta, Edmonton, Canada.
Department of Computing Science, University of Alberta, Edmonton, Canada.

Classifications MeSH