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Three dimensional Slipdisc aimed at HIV viral load detection
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.ORCID iD: 0000-0001-9869-7181
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.ORCID iD: 0000-0002-0242-358X
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this study, we introduce a three dimensional Slipdisc1 based on slipchip technology, aimed to be used at detection of HIV-1 viral load in resource limited settings. This method is based on magnetic bead based isolation of RNA from sample, followed by release of RNA in an elution buffer, followed by amplification of the initial concentration of RNA in an elution buffer. The novelty is the extraction method which is a one step method and involves using magnetic beads attached to sample DNA to pass through an immiscible oil phase2 for one step washing.

Place, publisher, year, edition, pages
2017.
National Category
Engineering and Technology
Research subject
Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-255526OAI: oai:DiVA.org:kth-255526DiVA, id: diva2:1339489
Conference
HIV and Hepatitis Nordic Conference, 2017 (September 27-29), Stockholm, Sweden. (Poster)
Note

QC 20190819

Available from: 2019-07-30 Created: 2019-07-30 Last updated: 2024-03-15Bibliographically approved

Open Access in DiVA

fulltext(3297 kB)135 downloads
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File name FULLTEXT01.pdfFile size 3297 kBChecksum SHA-512
843b2fc1654814f21770e0755d6560aef33bb2fa17413c92b763bcda7aa25ef41e3988d0390848cc34c889ff76b1c1fe5fb14e8f85d97fa885e17b0a2be50f70
Type fulltextMimetype application/pdf

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Banerjee, IndradumnaSalih, TagridOhlander, AnnaRussom, Aman
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf