کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7232806 | 1470965 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A one-step electrochemiluminescence immunosensor preparation for ultrasensitive detection of carbohydrate antigen 19-9 based on multi-functionalized graphene oxide
ترجمه فارسی عنوان
آماده سازی ایمونوسنسور الکتروکملیومینسانس یک مرحله ای برای تشخیص حساسیت بالای آنتی ژن کربوهیدرات 19-9 بر اساس اکسید گرافن چند منظوره
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
A one-step electrochemiluminescence (ECL) immunosensor for ultrasensitive detection of carbohydrate antigen 19-9 (CA19-9) was developed based on multi-functionalized graphene oxide (GO), which was prepared with N-(4-aminobutyl)-N-ethylisoluminol (ABEI) and CA19-9 antibody (anti-CA19-9) chemically bound to the surface of magnetic GO (nanoFe3O4@GO). ABEI and anti-CA19-9 acted as the electrochemiluminophore and the capture device for CA19-9 respectively. NanoFe3O4@GO enabled all the ABEI immobilized molecules electrochemically active due to its good conductivity, and brought multi-functionalized GO attracted on the surface of magnetic glass carbon electrode through magnetism. Thus the ECL immunosensor could be prepared through a one-step process that facilitates ultrasensitive detection of CA19-9. Under optimal conditions, the ECL intensity of the immunosensor decreased proportionally to the logarithmic concentrations of CA19-9 in the range of 0.001-5Â U/mL with a detection limit of 0.0005Â U/mL. This one-step ECL immunosensor showed good performance in specificity, stability, reproducibility, regeneration and application. It opened a new avenue to apply multi-functionalized bionanomaterials in ECL immunoassay.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 66, 15 April 2015, Pages 468-473
Journal: Biosensors and Bioelectronics - Volume 66, 15 April 2015, Pages 468-473
نویسندگان
Yuhong Sha, Zhiyong Guo, Beibei Chen, Sui Wang, Guoping Ge, Bin Qiu, Xiaohua Jiang,