Sensitive detection of human insulin using a designed combined pore approach

Lei, Chang, Noonan, Owen, Jambhrunkar, Siddharth, Qian, Kun, Xu, Chun, Zhang, Jun, Nouwens, Amanda and Yu, Chengzhong (2014) Sensitive detection of human insulin using a designed combined pore approach. Small, 10 12: 2413-2418. doi:10.1002/smll.201303748


Author Lei, Chang
Noonan, Owen
Jambhrunkar, Siddharth
Qian, Kun
Xu, Chun
Zhang, Jun
Nouwens, Amanda
Yu, Chengzhong
Title Sensitive detection of human insulin using a designed combined pore approach
Journal name Small   Check publisher's open access policy
ISSN 1613-6810
1613-6829
Publication date 2014-06-25
Year available 2014
Sub-type Article (original research)
DOI 10.1002/smll.201303748
Open Access Status Not Open Access
Volume 10
Issue 12
Start page 2413
End page 2418
Total pages 6
Place of publication Weinheim, Germany
Publisher Wiley-VCH Verlag
Language eng
Abstract A unique combined pore approach to the sensitive detection of human insulin is developed. Through a systematic study to understand the impact of pore size and surface chemistry of nanoporous materials on their enrichment and purification performance, the advantages of selected porous materials are integrated to enhance detection sensitivity in a unified two-step process. In the first purification step, a rationally designed large pore material (ca. 100 nm in diameter) is chosen to repel the interferences from nontarget molecules. In the second enrichment step, a hydrophobically modified mesoporous material with a pore size of 5 nm is selected to enrich insulin molecules. A low detection limit of 0.05 ng mL-1 in artificial urine is achieved by this advanced approach, similar to most antibody-based analysis protocols. This designer approach is efficient and low cost, and thus has great potential in the sensitive detection of biomolecules in complex biological systems. A unique approach to combine both large-pore and small-pore materials is developed for the sensitive detection of human insulin. A low detection limit of 0.05 ng mL-1 in artificial urine is achieved, similar to most antibody based analysis protocols.
Keyword Detection
Insulin
Mass spectrometry
Nanomaterials
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Australian Institute for Bioengineering and Nanotechnology Publications
 
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