帕罗西汀血药浓度监测样品前处理优化

Optimization of Sample Pre-Treatment for the Monitoring of Paroxetine Blood Drug Concentration

摘要: 目的：探讨并优化帕罗西汀血药浓度监测中的样品前处理方法，旨在通过引入瓶内处理技术和自动化样品前处理系统，实现快速、高效的前处理流程，提高监测效率与准确性。方法：综述了两种关键的优化策略：一是采用特制瓶内置过滤膜的瓶内处理技术，直接在单一瓶内完成样品分离与杂质去除；二是引入自动化样品前处理系统，如固相萃取自动化平台和在线样品处理系统，通过预设程序自动化完成样品提取、净化、浓缩等步骤。结果：这些优化方法显著缩短了样品前处理时间，平均处理时间从数小时缩短至数分钟至半小时内，提高了监测效率。同时，确保了分析结果的准确性和一致性，减少了人为操作带来的误差。此外，自动化系统的应用降低了人力成本，满足了高通量监测的需求。结论：通过引入瓶内处理技术和自动化样品前处理系统，帕罗西汀血药浓度监测的样品前处理过程实现了快速与高效。这些优化策略不仅提升了监测效率，还保证了分析结果的准确性，为临床用药指导和个体化治疗提供了有力支持。

Abstract: Objective: To explore and optimize the sample pre-treatment method in Paroxetine blood drug concentration monitoring. It aims to achieve a fast and efficient pre-processing process by introducing in-bottle treatment technology and automation sample processing systems to improve monitoring efficiency and accuracy. Methods: Two key optimization strategies are summarized: First, the in-bottle processing technology of the special bottle built-in filter film is used to complete the sample separation and impurity removal directly in a single bottle; And second, the automated sample pre-treatment systems are introduced, such as an automated platform for solid-phase extraction and an online sample processing system, to automatically complete the sample extraction, purification, concentration and other steps through the pre-set program. Result: These optimization methods significantly shortened the sample pre-treatment time, and the average processing time was shortened from a few hours to a few minutes to half an hour, which improved the monitoring efficiency. At the same time, the accuracy and consistency of the analysis results are ensured, and the errors brought by artificial operations are reduced. In addition, the application of automation systems reduces human costs and meets the demand for high-throughput monitoring. Conclusion: By introducing the pre-processing system of in-bottle treatment technology and automated samples, the sample pre-treatment process of Paroxetine blood drug concentration monitoring has achieved rapid and efficient. These optimization strategies not only improve the monitoring efficiency, but also ensure the accuracy of the analysis results, and provide strong support for clinical medication guidance and individualized therapy.