Suppr超能文献

传统方法的新应用:基于传统 Tollens 反应原位形成核壳金纳米棒包裹的银纳米粒子的比色传感器阵列用于还原糖。

New application of a traditional method: colorimetric sensor array for reducing sugars based on the in-situ formation of core-shell gold nanorod-coated silver nanoparticles by the traditional Tollens reaction.

机构信息

Department of Chemistry, Capital Normal University, Beijing, 100048, China.

College of Chemistry, Nankai University, Tianjin, 300071, China.

出版信息

Mikrochim Acta. 2021 Mar 28;188(4):142. doi: 10.1007/s00604-021-04796-z.

Abstract

An effective and robust colorimetric sensor array for simultaneous detection and discrimination of five reducing sugars (i.e., glyceraldehyde (Gly), fructose (Fru), glucose (Glu), maltose (Mal), and ribose (Rib)) has been proposed. In the sensor array, two negatively charged polydielectrics (sodium polystyrenesulfonate (NaPSS) and sodium polymethacrylate (NaPMAA)), which served as the sensing elements, were individually absorbed on the surface of the cetyltrimethylammonium bromide (CTAB)-coated gold nanorods (AuNR) with positive charges through electrostatic action, forming the designed sensor units (NaPSS-AuNR and NaPMAA-AuNR). In the presence of Tollens reagent (Ag(NH)OH), Ag was absorbed on the surface of negatively charged NaPSS-AuNR and NaPMAA-AuNRs. When confronted with differential reducing sugars, different reducing sugars exhibited differential levels of deoxidizing abilities toward Ag, thus Ag was reduced to diverse amounts of silver nanoparticles (AgNPs) in situ to form core-shell AuNR@AgNP by the traditional Tollens reaction method, leading to distinct colorimetric response patterns (value of A/A (the ratio of absorbance at 360 nm to that at 760 nm in Ag-NaPMAA-AuNR, and the ratio of absorbance at 360 nm to that at 740 nm in Ag-NaPSS-AuNR)). These response patterns are characteristic for each reducing sugar, and can be quantitatively distinguished by linear discriminant analysis (LDA) at concentrations as low as 10 nM with relative standard deviation (RSD) of 4.11% (n = 3). The practicability of this sensor array has been validated by recognition of reducing sugars in serum and urine samples. A colorimetric sensor array for reducing sugar discrimination based on the reduction of Ag and in situ formation of AuNR@AgNP.

摘要

已提出一种用于同时检测和区分五种还原糖(即甘油醛(Gly)、果糖(Fru)、葡萄糖(Glu)、麦芽糖(Mal)和核糖(Rib))的有效且稳健的比色传感器阵列。在传感器阵列中,两个带负电荷的聚电解质(聚苯乙烯磺酸钠(NaPSS)和聚甲基丙烯酸钠(NaPMAA))作为传感元件,通过静电作用分别被带正电荷的十六烷基三甲基溴化铵(CTAB)包覆的金纳米棒(AuNR)吸附在表面上,形成设计的传感器单元(NaPSS-AuNR 和 NaPMAA-AuNR)。在Tollens 试剂(Ag(NH)OH)存在的情况下,Ag 被带负电荷的 NaPSS-AuNR 和 NaPMAA-AuNR 表面吸附。当遇到差异还原糖时,不同的还原糖对 Ag 表现出不同的还原能力,因此 Ag 被还原为不同量的原位银纳米颗粒(AgNPs)通过传统的 Tollens 反应方法形成核壳 AuNR@AgNP,导致比色响应模式的明显差异(值 A/A(在 Ag-NaPMAA-AuNR 中 360nm 处的吸光度与 760nm 处的吸光度之比,以及在 Ag-NaPSS-AuNR 中 360nm 处的吸光度与 740nm 处的吸光度之比))。这些响应模式是每种还原糖的特征,可以通过线性判别分析(LDA)在低至 10 nM 的浓度下进行定量区分,相对标准偏差(RSD)为 4.11%(n=3)。该传感器阵列的实用性已通过对血清和尿液样本中还原糖的识别得到验证。基于 Ag 的还原和原位形成 AuNR@AgNP 的还原糖识别比色传感器阵列。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验