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Dataset for Atmospheric pressure atomic layer deposition for in-channel surface modification of PDMS microfluidic chips

DOI:10.4121/d4e0b3c6-d544-4c26-b43f-128c23332c93.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/d4e0b3c6-d544-4c26-b43f-128c23332c93

Datacite citation style

Santoso, Albert; van Ommen, J.Ruud ; van Steijn, Volkert; Boukany, Pouyan (2024): Dataset for Atmospheric pressure atomic layer deposition for in-channel surface modification of PDMS microfluidic chips. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d4e0b3c6-d544-4c26-b43f-128c23332c93.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset is a basis for a publication of Atmospheric pressure atomic layer deposition to increase organic solvent resistance of PDMS, intended to be of chapter 4 in the corresponding dissertation. In this dataset, the research objective "Developing a method for the use of atmospheric pressure atomic layer deposition (AP-ALD) for in-situ coating of polydimethylsiloxane (PDMS) microfluidic chips" was addressed. The data were collected using various characterization techniques (advanced microscopy, advanced spectroscopy, and confocal microscopy). The data also contain 3 case studies (cell study, PVA-PLA study, and photocatalytic study). The presented data were in the form of images (jpg.), origin file containing the case study and characterization (opju), table (xls) and confocal scan images (czi).

History

  • 2024-06-04 first online, published, posted

Publisher

4TU.ResearchData

Format

image (png, jpg) in PLA PVA, Cell study, and FESEM zip file; excel (xls, html) in Photocatalytic zip file, zen file (czi) in Coverage zip file and Origin file (opju) containing raw data for other measurement

Funding

  • Fast and Efficient Purification of Medical Isotopes by Microfluidic Extraction (grant code 16913) Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Organizations

TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering

DATA

Files (9)