开发基于金纳米粒子的横向流动试纸条,用于检测尿样中的 NGAL 蛋白质

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Paweena Tunakhun, Sawinee Ngernpimai, Patcharaporn Tippayawat, Kiattawee Choowongkomon, Sirirat Anutrakulchai, Nicha Charoensri, Ratree Tavichakorntrakool, Sakda Daduang, Oranee Srichaiyapol, Pornsuda Maraming, Patcharee Boonsiri and Jureerut Daduang
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引用次数: 0

摘要

本研究的重点是提高基于金纳米颗粒(AuNPs)的侧流条(LFSs)检测尿样中中性粒细胞明胶酶相关脂质体(NGAL)蛋白的灵敏度。测试了几种尺寸的基于 AuNP 的 LFS 生物传感器,以便在改进共轭条件的基础上优化 NGAL 检测的比色信号。在 pH 值为 8 时,直径为 39.8 nm 的 AuNPs 对 NGAL 的检测最为灵敏。通过对基于 AuNP 的 LFS 进行系统性改进,该研究大大提高了灵敏度,使尿样中 NGAL 蛋白的可靠检测水平低至 12.5 ng mL-1。这些进展有助于完善早期检测肾损伤的诊断工具,特别是在出现 NGAL 蛋白的情况下,提供了一种更精确、更有效的筛查方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of gold nanoparticle-based lateral-flow strips for NGAL protein detection in urine samples

Development of gold nanoparticle-based lateral-flow strips for NGAL protein detection in urine samples

Development of gold nanoparticle-based lateral-flow strips for NGAL protein detection in urine samples

This study focuses on enhancing the sensitivity of lateral-flow strips (LFSs) based on gold nanoparticles (AuNPs) for the detection of Neutrophil Gelatinase-Associated Lipocalin (NGAL) protein in urine samples. Several sizes of AuNP-based LFS biosensors were tested to optimize colorimetric signals for NGAL detection based on improved conjugation conditions. AuNPs of 39.8 nm diameter at pH 8 were the most sensitive for the detection of NGAL. Through systematic enhancements to the AuNP-based LFS, the study significantly improves the sensitivity, enabling the reliable detection of NGAL protein in urine samples at a level as low as 12.5 ng mL−1. These advances contribute to the refinement of diagnostic tools for the early detection of kidney injury, specifically in cases associated with the presence of NGAL protein, offering a more precise and effective screening approach.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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