Recent sample pretreatment methods for determination of selective serotonin reuptake inhibitors (SSRIs) in biological samples
Recent sample pretreatment methods for determination of selective serotonin reuptake inhibitors (SSRIs) in biological samples
复制标题
用于测定生物样品中选择性血清素再摄取抑制剂（SSRI）的最新样品预处理方法
DOI：
10.1016/j.jpba.2021.114364
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发表时间：
2021
影响因子：
3.4
通讯作者：
Xiantao Shen
中科院分区：
文献类型：
--
作者：
Li Chen;Jincheng Wang;Tyllis Xu;Xinrui Feng;Chuixiu Huang;Xiantao Shen
选择性血清素再摄取抑制剂（SSRIs），如氟西汀（FLU）、舍曲林（SER）、帕罗西汀（PAR）、氟伏沙明（FLV）和西酞普兰（CIT）已成为孕妇和哺乳期妇女的首选治疗药物。在公共卫生和临床实践中，迫切需要对生物样品中的SSRIs进行定量分析。在分析过程中，样品前处理是获得复杂样品中SSRIs准确定量分析的重要步骤。本文讨论了SSRI分析样品制备方法的最新进展。传统的样品制备技术如液液萃取（LLE）和固相萃取（SPE）在生物样品中SSRIs的分离中得到了广泛的应用，得到了广泛的介绍。此外，还对在SSRI分析中日益流行的新型样品制备技术，包括液相微萃取（LPME）、固相微萃取（SPME）、电膜萃取（EME）等小型化萃取技术进行了综述。在这篇综述中，讨论了这些样品预处理方法的优缺点。综上所述，我们展望了SSRI分析中样品预处理方法的挑战和未来的发展方向。
Selective serotonin reuptake inhibitors (SSRIs) such as fluoxetine (FLU), sertraline (SER), paroxetine (PAR), fluvoxamine (FLV) and citalopram (CIT) have been the first treatment drugs for pregnant and breastfeeding women. Quantitative analysis of SSRIs in biological samples is extremely needed in public health and clinical practice. During the analysis, sample pretreatment is an important step that can obtain an accurate quantitative analysis of SSRIs in the complex samples. The present paper discussed the recent development of sample preparation methods for SSRI analysis. Traditional sample preparation techniques such as liquid liquid extraction (LLE) and solid phase extraction (SPE), which have been widely used in the separation of SSRIs in biological samples, were extensively presented. Moreover, the new sample preparation techniques including liquid phase microextraction (LPME), solid phase microextraction (SPME), electromembrane extraction (EME) and other miniaturized extraction techniques, which are becoming highly popular in SSRI analysis, were also critically reviewed. In this review, both the advantages and disadvantages of these sample pretreatment methods were addressed. As a summary, we prospected the challenges and promising directions for the future of sample pretreatment methods in SSRI analysis.