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Chemical analysis using 3D printed glass microfluidics

  • Eran Gal-Or*
  • , Yaniv Gershoni
  • , Gianmario Scotti
  • , Sofia M.E. Nilsson
  • , Jukka Saarinen
  • , Ville Jokinen
  • , Clare J. Strachan
  • , Gustav Boije Af Gennäs
  • , Jari Yli-Kauhaluoma
  • , Tapio Kotiaho
  • *Corresponding author for this work
  • MICRON3DP Ltd.
  • University of Helsinki

Research output: Contribution to journalArticleScientificpeer-review

61 Citations (Scopus)
216 Downloads (Pure)

Abstract

Additive manufacturing (3D printing) is a disruptive technology that is changing production systems globally. In addition, microfluidic devices are increasingly being used for chemical analysis and continuous production of chemicals. Printing of materials such as polymers and metals is already a reality, but additive manufacturing of glass for microfluidic systems has received minor attention. We characterize microfluidic devices (channel cross-section dimensions down to a scale of 100 μm) that have been produced by additive manufacturing of molten soda-lime glass in tens of minutes and report their mass spectrometric and Raman spectroscopic analysis examples. The functionality of a microfluidic glass microreactor is shown with online mass spectrometric analysis of linezolid synthesis. Additionally, the performance of a direct infusion device is demonstrated by mass spectrometric analysis of drugs. Finally, the excellent optical quality of the glass structures is demonstrated with in-line Raman spectroscopic measurements. Our results promise a bright future for additively manufactured glass microdevices in diverse fields of science.

Original languageEnglish
Pages (from-to)1802-1810
Number of pages9
JournalAnalytical Methods
Volume11
Issue number13
DOIs
Publication statusPublished - 7 Apr 2019
MoE publication typeA1 Journal article-refereed

Funding

Chief technician Matti Hongisto from Clinicum, Faculty of Medicine, University of Helsinki is acknowledged for help with glass drilling. Nina Sipari and Dr Jenna Lihavainen, University of Helsinki are acknowledged for the LC-MS measurements. Expert help from Sole Lätti in graphical illustration is acknowledged. The facilities of Micronova, Centre for Micro and Nanotechnology were used in the characterization. Financial support for the University of Helsinki was provided by the Academy of Finland (projects 276627, 265481 and 289398), Ruth and Nils-Erik Stenbäck’s Foundation and Magnus Ehrnrooth’s Foundation.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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