Suppr超能文献

对用于水介质中亚硝酸盐传感的新型格里斯试剂候选物的评估确定了分子指纹搜索。

Evaluation of novel Griess-reagent candidates for nitrite sensing in aqueous media identified molecular fingerprint searching.

作者信息

Váradi Linda, Breedon Michael, Chen Fiona F, Trinchi Adrian, Cole Ivan S, Wei Gang

机构信息

CSIRO Manufacturing Normanby Road Clayton 3168 Australia

RMIT University GPO Box 2476 Melbourne 3001 Australia.

出版信息

RSC Adv. 2019 Jan 29;9(7):3994-4000. doi: 10.1039/c8ra07656a. eCollection 2019 Jan 25.

Abstract

The Griess reaction is the most often exploited colorimetric method for the quantitative analysis of nitrite in aqueous media. The application of the currently used reagents are associated with limitations ( linear response range). Herein, molecular fingerprint searching on well-known Griess-reagents was used as a tool for the identification of structurally similar, new reagent candidate molecules. Rapid and high-throughput experimental evaluation of the newly identified Griess-reagent candidates revealed that 14 of the 18 tested reagent candidates had equal or superior response displaying broader linear ranges and/or increased response gradient against various nitrite concentrations in aqueous media when compared to the parent compounds at room temperature.

摘要

格里斯反应是水介质中亚硝酸盐定量分析中最常采用的比色法。目前所用试剂的应用存在局限性(线性响应范围)。在此,对知名格里斯试剂进行分子指纹搜索,以此作为鉴定结构相似的新试剂候选分子的工具。对新鉴定出的格里斯试剂候选物进行快速且高通量的实验评估发现,在室温下,与母体化合物相比,18种受试试剂候选物中有14种具有同等或更优的响应,对水介质中各种亚硝酸盐浓度显示出更宽的线性范围和/或更高的响应梯度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b933/9060543/cb85751570ff/c8ra07656a-s1.jpg

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