Electronic single-molecule identification of carbohydrate isomers by recognition tunnelling
JongOne Im,
Sovan Biswas,
Hao Liu,
Yanan Zhao,
Suman Sen,
Sudipta Biswas,
Brian Ashcroft,
Chad Borges,
Xu Wang,
Stuart Lindsay () and
Peiming Zhang ()
Additional contact information
JongOne Im: Biodesign Institute
Sovan Biswas: Biodesign Institute
Hao Liu: Biodesign Institute
Yanan Zhao: Biodesign Institute
Suman Sen: Biodesign Institute
Sudipta Biswas: Biodesign Institute
Brian Ashcroft: Biodesign Institute
Chad Borges: Biodesign Institute
Xu Wang: School of Molecular Sciences
Stuart Lindsay: Biodesign Institute
Peiming Zhang: Biodesign Institute
Nature Communications, 2016, vol. 7, issue 1, 1-7
Abstract:
Abstract Carbohydrates are one of the four main building blocks of life, and are categorized as monosaccharides (sugars), oligosaccharides and polysaccharides. Each sugar can exist in two alternative anomers (in which a hydroxy group at C-1 takes different orientations) and each pair of sugars can form different epimers (isomers around the stereocentres connecting the sugars). This leads to a vast combinatorial complexity, intractable to mass spectrometry and requiring large amounts of sample for NMR characterization. Combining measurements of collision cross section with mass spectrometry (IM–MS) helps, but many isomers are still difficult to separate. Here, we show that recognition tunnelling (RT) can classify many anomers and epimers via the current fluctuations they produce when captured in a tunnel junction functionalized with recognition molecules. Most importantly, RT is a nanoscale technique utilizing sub-picomole quantities of analyte. If integrated into a nanopore, RT would provide a unique approach to sequencing linear polysaccharides.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.nature.com/articles/ncomms13868 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13868
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms13868
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().