| Full text | |
| Author(s): |
Bueno, Ligia
[1]
;
El-Sharif, Hazim F.
[2]
;
Salles, Maiara O.
[1]
;
Boehm, Ryan D.
[3]
;
Narayan, Roger J.
[3]
;
Paixao, Thiago R. L. C.
[1]
;
Reddy, Subrayal M.
[2]
Total Authors: 7
|
| Affiliation: | [1] Univ Sao Paulo, Inst Quim, Sao Paulo - Brazil
[2] Univ Surrey, FEPS, Dept Chem, Guildford GU2 7XH, Surrey - England
[3] Univ N Carolina, Joint Dept Biomed Engn, Raleigh, NC - USA
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | SENSORS AND ACTUATORS B-CHEMICAL; v. 204, p. 88-95, DEC 1 2014. |
| Web of Science Citations: | 13 |
| Abstract | |
We present the development of an electrochemical biosensor based on modified glassy carbon (GC) electrodes using hydrogel-based molecularly imprinted polymers (MIPs) has been fabricated for protein detection. The coupling of pattern recognition techniques via principal component analysis (PCA) has resulted in unique protein fingerprints for corresponding protein templates, allowing for MIP-based protein profiling. Polyacrylamide MIPs for memory imprinting of bovine haemoglobin (BHb), equine myoglobin (EMb), cytochrome C (Cyt C), and bovine serum albumin (BSA), alongside a non-imprinted polymer (NIP) control, were spectrophotometrically, and electrochemically characterised using modified GC electrodes. Rebinding capacities (Q) were revealed to be higher for larger proteins (BHb and BSA, Q approximate to 4.5) while (EMb and Cyt C, Q approximate to 2.5). Electrochemical results show that due to the selective nature of MIPs, protein arrival at the electrode via diffusion is delayed, in comparison to a NIP, by attractive selective interactions with exposed MIP cavities. However, at lower concentrations such discriminations are difficult due to low levels of MIP rebinding. PCA loading plots revealed 5 variables responsible for the separation of the proteins; E-p, I-p, E-1/2,I-at (-0.8v), Delta I (decay peak current to) (-0.8v) V . Statistical symmetric measures of agreement using Cohen's kappa coefficient (K) were revealed to be 63% for bare GC, 96% for NIP and 100% for MIP. Therefore, our results show that with the use of PCA such discriminations are achievable, also with the advantage of faster detection rates. The possibilities for this MIP technology once fully developed are vast, including uses in bio-sample clean-up or selective extraction, replacement of biological antibodies in immunoassays, as well as biosensors for medicine, food and the environment. (C) 2014 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 12/12106-5 - Development of intelligent devices (electronic noses and tongues) using electrochemical, colorimetric and mass measurements aiming to the discrimination of forensic and food samples |
| Grantee: | Thiago Regis Longo Cesar da Paixão |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/23355-3 - Study and development of intelligent devices (electronic noses and tongues) aiming to the discrimination of contamination in foods |
| Grantee: | Lígia Bueno Bedatty |
| Support Opportunities: | Scholarships in Brazil - Doctorate |