کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
741957 1462086 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MIP-based electrochemical protein profiling
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
MIP-based electrochemical protein profiling
چکیده انگلیسی


• Electrochemical MIP-based biosensor fabricated for rapid protein detection.
• We report the coupling of electrochemical and pattern recognition techniques.
• Selective synthetic MIP recognition of a range of bio-significant proteins.
• Protein fingerprint profiling by principal component analysis.
• Faster detection rates at lower concentrations.

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 ≈ 4.5) while (EMb and Cyt C, Q ≈ 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; Ep, Ip, E1/2, Iat −0.8 V, ΔIdecay peak current to −0.8 V. Statistical symmetric measures of agreement using Cohen's kappa coefficient (κ) 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.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 204, 1 December 2014, Pages 88–95
نویسندگان
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