Literature DB >> 22964383

High sensitive trypsin activity evaluation applying a nanostructured QCM-sensor.

M Stoytcheva1, R Zlatev, S Cosnier, M Arredondo, B Valdez.   

Abstract

The medical diagnostic, the industry, and the biotechnology require rapid, sensitive, and easy to use methods for trypsin activity determination. A simple approach, which meets all these requirements, based on Quartz Crystal Microbalance (QCM) was developed, analytically characterized and described in the present work. QCM application allows rapid trypsin activity evaluation by real time monitoring of the enzymatic degradation of the substrate. The new approach suggested in this work takes advantage of nanoparticles loaded gelatin employment as a trypsin substrate, deposited on the QCM crystal. The heavy nanoparticles leave the substrate layer together with the products of its enzymatic degradation provoking thus a greater decrease of the total QCM crystal mass compared with the non charged substrate. As a result, a higher sensor frequency response occurs. A 10 fold improvement of the LOD was achieved for trypsin activity evaluation applying the proposed method with Ag nanoparticles loaded gelatin (7.5×10(-4) U mL(-1) vs. 7.5×10(-3) U mL(-1) obtained by the "classic" QCM method). The approach subject of this work can be applied with any substrate degrading enzyme.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22964383     DOI: 10.1016/j.bios.2012.08.039

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

Review 1.  Smart micro/nanoparticles in stimulus-responsive drug/gene delivery systems.

Authors:  Mahdi Karimi; Amir Ghasemi; Parham Sahandi Zangabad; Reza Rahighi; S Masoud Moosavi Basri; H Mirshekari; M Amiri; Z Shafaei Pishabad; A Aslani; M Bozorgomid; D Ghosh; A Beyzavi; A Vaseghi; A R Aref; L Haghani; S Bahrami; Michael R Hamblin
Journal:  Chem Soc Rev       Date:  2016-03-07       Impact factor: 54.564

2.  Sensitive and selective detection of the highly toxic pesticide carbofuran in vegetable samples by a molecularly imprinted electrochemical sensor with signal enhancement by AuNPs.

Authors:  Peipei Qi; Jiao Wang; Xiangyun Wang; Zhiwei Wang; Hao Xu; Shanshan Di; Qiang Wang; Xinquan Wang
Journal:  RSC Adv       Date:  2018-07-16       Impact factor: 3.361

  2 in total

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