کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7231084 | 1470952 | 2016 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Ultrasensitive detection of superoxide anion released from living cells using a porous Pt-Pd decorated enzymatic sensor
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Considering the critical roles of superoxide anion (O2ââ) in pathological conditions, it is of great urgency to establish a reliable and durable approach for real-time determination of O2ââ. In this study, we propose a porous Pt-Pd decorated superoxide dismutase (SOD) sensor for qualitative and quantitative detection O2ââ. The developed biosensor exhibits a fast, selective and linear amperometric response upon O2ââ in the concentration scope of 16 to 1536 μM (R2=0.9941), with a detection limit of 0.13 μM (S/N=3) and a low Michaelis-Menten constant of 1.37 μM which indicating a high enzymatic activity and affinity to O2ââ. Inspiringly, the proposed sensor possesses an ultrahigh sensitivity of 1270 μA mMâ1 cmâ2. In addition, SOD/porous Pt-Pd sensor exhibits excellent anti-interference property, reproducibility and long-term storage stability. Beyond our expectation, the trace level of O2ââ released from living cells has also been successfully captured. These satisfactory results are mainly ascribed to (1) the porous interface with larger surface area and more active sites to provide a biocompatible environment for SOD (2) the specific biocatalysis of SOD towards O2ââ and (3) porous Pt-Pd nanomaterials fastening the electron transfer. The superior electrochemical performance makes SOD/porous Pt-Pd sensor a promising candidate for monitoring the dynamic changes of O2ââin vivo.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 79, 15 May 2016, Pages 449-456
Journal: Biosensors and Bioelectronics - Volume 79, 15 May 2016, Pages 449-456
نویسندگان
Xiang Zhu, Tingting Liu, Hongli Zhao, Libo Shi, Xiaoqing Li, Minbo Lan,