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(R) 免疫试验标准添加程序的演变

Monika Conrad¹, Peter Fechner¹, Günther Proll¹

¹Institute of Physical and Theoretical Chemistry (IPTC), Eberhard Karls Universität Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany.

|September 27, 2023

概括

一种新的标准添加方法提高了非线性校准曲线的免疫测试准确性. 这种方法改善了复杂的生物矩阵 (如血清和牛奶) 中的度确定.

科学领域:

分析化学分析化学
生物化学生物化学
免疫化学免疫化学

背景情况:

免疫试验对于量化分析物至关重要,但经常面临非线性校准曲线和矩阵效应的挑战.
由于干扰,传统方法在复杂的生物样本中难以准确确定分析物度.

研究的目的:

开发和验证一种用于免疫试验的度测定新方法,特别是针对非线性校准曲线.
提高复杂矩阵中标准加法程序的准确性和可靠性.

主要方法:

应用了逻辑转换,以免疫测试信号响应的尖端样本,以线性化与分析物度的关系.
该方法与使用模拟数据的现有算法进行了基准测试,并与丸激素和阿米特里林进行实验验证.
使用结合抑制试验加上反射干扰光谱法 (RIfS) 在血清,唾液和牛奶中进行了量化.

主要成果:

这种新方法显著提高了性能,与最先进的算法相比,改进因子从2到192不等.
在复杂矩阵中的实验验证产生了准确的量化,恢复率在70%至118%之间.
该方法有效地考虑了单个矩阵干扰,通过直接在测试样本上进行标准添加.

结论:

开发的标准加法为在具有非线性校准曲线的免疫试验中准确量化分析物提供了可靠的解决方案.
这种方法是多功能和适用于各种免疫试验和复杂的生物矩阵,克服现有技术的局限性.

关键词:

这是一个 (生物) 传感器.没有校准的自由校准.免疫测试是一种免疫测试.没有标签的无标签.反射测量干扰光谱学 (RIfS) 的应用.标准的加法标准的加法.

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