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Fluorescence/electrochemiluminescence approach for instant detection of glycated hemoglobin index.
Li, Dongning; Fang, Chen; Li, Huiling; Tu, Yifeng.
Afiliação
  • Li D; College of Chemistry, Chemical Engineering and Material Science, Soochow University, Suzhou, 215123, PR China.
  • Fang C; Department of Endocrinology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, PR China.
  • Li H; The First Affiliated Hospital, Nursing College, Soochow University, Suzhou, 215006, PR China. Electronic address: lhl8543@126.com.
  • Tu Y; College of Chemistry, Chemical Engineering and Material Science, Soochow University, Suzhou, 215123, PR China. Electronic address: tuyf@suda.edu.cn.
Anal Biochem ; 659: 114958, 2022 12 15.
Article em En | MEDLINE | ID: mdl-36273622
ABSTRACT
The percentage of glycated hemoglobin (HbA1c) in total hemoglobin (Hb) is an important index for the diagnosis of Type II diabetes (T2D) because it reflects the long-term glucose level in blood. Herein, employing a one-pot co-reduction approach using glutathione (GSH) as structure-directing agent, a cluster-like AuAg nanoparticle (AuAg NPs) material was synthesized, therefore an electrochemiluminescence (ECL) aptamer-sensor for HbA1c detection was developed based on functionalized electrode with this material. Meanwhile, the quantitative determination of total Hb was realized based on the quenching effect of Hb on the fluorescence (FL) of luminol. Under compatible conditions, the results of both indexes can be satisfactorily acquired. This multimodal detection system has a good linear response toward Hb from 0.1 to 2.5 µM and HbA1c from 0.005 to 0.5 µM. The blood test proves this strategy is capable of accurate Hb and HbA1c detection, thus to obtain the percentage of HbA1c in total Hb (HbA1c%), which has the potential application for clinical diagnosis of diabetes mellitus.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Idioma: En Ano de publicação: 2022 Tipo de documento: Article