相关实验视频

Updated: Jul 26, 2026

Application and Methodology of the Non-destructive 19F Time-domain NMR Technique to Measure the Content in Fluorine-containing Drug Products
09:24

Application and Methodology of the Non-destructive 19F Time-domain NMR Technique to Measure the Content in Fluorine-containing Drug Products

Published on: August 22, 2017

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解决分析挑战,以提高实验室在未结合的流西林测量的一致性

Cathérine Van Herteryck1, Tim Reyns2, Nynke Jager3

  • 1Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.

Therapeutic drug monitoring
|March 10, 2026
PubMed
概括

准确量化未结合的流西林 (FLU) 对于治疗药物监测至关重要. 使用超过 (UF) 开发了一种经过验证的LC-HRMS方法,显示出良好的实验室间协议,并由于超过的不稳定性,建议用于样品存储的血矩阵.

关键词:
贝塔乳酸抗生素的抗生素是贝塔乳酸抗生素.进行交叉验证.流克洛沙林是一种流克洛沙林.稳定的稳定性 稳定的稳定性没有绑定的度度.

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Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Blank Solutions00:56

Blank Solutions

A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
In some experimental cases, the reagents, solvents, or lab equipment used in...
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Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...