PMID- 31121093
OWN - NLM
STAT- MEDLINE
DCOM- 20200827
LR  - 20200827
IS  - 1936-086X (Electronic)
IS  - 1936-0851 (Linking)
VI  - 13
IP  - 6
DP  - 2019 Jun 25
TI  - Single Molecule Identification and Quantification of Glycosaminoglycans Using 
      Solid-State Nanopores.
PG  - 6308-6318
LID - 10.1021/acsnano.9b00618 [doi]
AB  - Glycosaminoglycans (GAGs) are a class of polysaccharides with potent biological 
      activities. Due to their complex and heterogeneous composition, varied charge, 
      polydispersity, and presence of isobaric stereoisomers, the analysis of GAG 
      samples poses considerable challenges to current analytical techniques. In the 
      present study, we combined solid-state nanopores-a single molecule sensor with a 
      support vector machine (SVM)-a machine learning algorithm for the analysis of 
      GAGs. Our results indicate that the nanopore/SVM technique could distinguish 
      between monodisperse fragments of heparin and chondroitin sulfate with high 
      accuracy (>90%), allowing as low as 0.8% (w/w) of chondroitin sulfate impurities 
      in a heparin sample to be detected. In addition, the nanopore/SVM technique 
      distinguished between unfractionated heparin (UFH) and enoxaparin (low molecular 
      weight heparin) with an accuracy of  approximately 94% on average. With a reference sample for 
      calibration, a nanopore could achieve nanomolar sensitivity and a 5-Log dynamic 
      range. We were able to quantify heparin with reasonable accuracy using multiple 
      nanopores. Our studies demonstrate the potential of the nanopore/SVM technique to 
      quantify and identify GAGs.
FAU - Im, JongOne
AU  - Im J
FAU - Lindsay, Stuart
AU  - Lindsay S
AUID- ORCID: 0000-0002-9364-6542
FAU - Wang, Xu
AU  - Wang X
AUID- ORCID: 0000-0002-7369-677X
FAU - Zhang, Peiming
AU  - Zhang P
AUID- ORCID: 0000-0003-2831-2308
LA  - eng
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20190531
PL  - United States
TA  - ACS Nano
JT  - ACS nano
JID - 101313589
RN  - 9005-49-6 (Heparin)
RN  - 9007-28-7 (Chondroitin Sulfates)
SB  - IM
MH  - Biosensing Techniques/*methods/standards
MH  - Chondroitin Sulfates/analysis/*chemistry
MH  - Heparin/analysis/*chemistry
MH  - *Nanopores
MH  - Sensitivity and Specificity
MH  - Support Vector Machine
OTO - NOTNLM
OT  - SVM
OT  - glycosaminoglycan
OT  - heparin
OT  - machine learning
OT  - nanopore
EDAT- 2019/05/24 06:00
MHDA- 2020/08/28 06:00
CRDT- 2019/05/24 06:00
PHST- 2019/05/24 06:00 [pubmed]
PHST- 2020/08/28 06:00 [medline]
PHST- 2019/05/24 06:00 [entrez]
AID - 10.1021/acsnano.9b00618 [doi]
PST - ppublish
SO  - ACS Nano. 2019 Jun 25;13(6):6308-6318. doi: 10.1021/acsnano.9b00618. Epub 2019 
      May 31.