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Sample solution constraints on motor-driven diagnostic nanodevices
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences.
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences.ORCID iD: 0000-0001-6878-3142
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2013 (English)In: Lab on a Chip, ISSN 1473-0197, E-ISSN 1473-0189, Vol. 13, no 5, 866-876 p.Article in journal (Refereed) Published
Abstract [en]

The last decade has seen appreciable advancements in efforts towards increased portability of lab-on-a-chip devices by substituting microfluidics with molecular motor-based transportation. As of now, first proof-of-principle devices have analyzed protein mixtures of low complexity, such as target protein molecules in buffer solutions optimized for molecular motor performance. However, in a diagnostic workup, lab-on-a-chip devices need to be compatible with complex biological samples. While it has been shown that such samples do not interfere with crucial steps in molecular diagnostics (for example antibody-antigen recognition), their effect on molecular motors is unknown. This critical and long overlooked issue is addressed here. In particular, we studied the effects of blood, cell lysates and solutions containing genomic DNA extracts on actomyosin and kinesin-microtubule-based transport, the two biomolecular motor systems that are most promising for lab-on-a-chip applications. We found that motor function is well preserved at defined dilutions of most of the investigated biological samples and demonstrated a molecular motor-driven label-free blood type test. Our results support the feasibility of molecular-motor driven nanodevices for diagnostic point-of-care applications and also demonstrate important constraints imposed by sample composition and device design that apply both to kinesin-microtubule and actomyosin driven applications.

Place, publisher, year, edition, pages
2013. Vol. 13, no 5, 866-876 p.
National Category
Biochemistry and Molecular Biology
Research subject
Natural Science, Biomedical Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-24764DOI: 10.1039/c2lc41099kISI: 000314651000015OAI: oai:DiVA.org:lnu-24764DiVA: diva2:610643
Available from: 2013-03-12 Created: 2013-03-12 Last updated: 2016-05-03Bibliographically approved

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Albet-Torres, Nuriaten Siethoff, LasseMånsson, Alf
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CiteExportLink to record
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Citation style
  • apa
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