Suppr超能文献

基于倍他米松的手性电化学传感器与化学计量学方法联用测定扁桃酸对映体

Betamethasone-based chiral electrochemical sensor coupled to chemometric methods for determination of mandelic acid enantiomers.

作者信息

Borazjani Marjan, Mehdinia Ali, Jabbari Ali

机构信息

Department of Chemistry, Faculty of Science, K. N. Toosi University of Technology, Tehran, Iran.

Department of Marine Living Science, Ocean Sciences Research Center, Iranian National Institute for Oceanography and Atmospheric Science, Tehran, Iran.

出版信息

J Mol Recognit. 2017 Dec;30(12). doi: 10.1002/jmr.2653. Epub 2017 Jul 4.

Abstract

A chiral biosensing platform was developed using betamethasone (BMZ) as chiral recognition element through multilayered electrochemical deposition of BMZ, overoxidized polypyrrole, and nanosheets of graphene (OPPy-BMZ/GR), for enantio-recognition of mandelic acid (MA) enantiomers. The deposited film was characterized by scanning electron microscopy, differential pulse voltammetry, cyclic voltammetry, and electrochemical impedance spectroscopy. It was shown that the chiral sensing platform can discriminate R- and S-MA differential pulse voltammetry signals, at the voltages of 1.35 and 1.33 V (vs Ag/AgCl), respectively. To tackle the problem of highly overlapping peaks of these enantiomers, the partial least squares (PLS) regression and genetic algorithm-PLS (GA-PLS) were used for simultaneous quantification of MA enantiomers. Generally, variable selection by genetic algorithm provided an improvement in prediction results when compared to full-voltammogram PLS. Good analytical performances were obtained despite the inherent complexity of the simultaneous determination.

摘要

开发了一种手性生物传感平台,该平台使用倍他米松(BMZ)作为手性识别元件,通过BMZ、过氧化聚吡咯和石墨烯纳米片的多层电化学沉积(OPPy-BMZ/GR),用于扁桃酸(MA)对映体的对映体识别。通过扫描电子显微镜、差分脉冲伏安法、循环伏安法和电化学阻抗谱对沉积膜进行了表征。结果表明,该手性传感平台能够分别在1.35和1.33 V(相对于Ag/AgCl)的电压下区分R-MA和S-MA的差分脉冲伏安信号。为了解决这些对映体峰高度重叠的问题,采用偏最小二乘(PLS)回归和遗传算法-PLS(GA-PLS)对MA对映体进行同时定量。一般来说,与全伏安图PLS相比,遗传算法进行的变量选择提高了预测结果。尽管同时测定存在内在复杂性,但仍获得了良好的分析性能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验