An effective pretreatment technique based on multi-walled carbon nanotubes to reduce the matrix effect in plasma samples analyzed by a new type probe electrospray ionization method

化学 电喷雾电离 色谱法 液相色谱-质谱法中的离子抑制 电喷雾 基质(化学分析) 质谱法 分析物 定量分析(化学) 蛋白质沉淀 串联质谱法
作者
Zhenwei Xiao,Yunhui Xing,Janshon Zhu,Yang Liu,Jinxingyi Wang,Qian Liu,Min Huang,Guoping Zhong
出处
期刊:Analytica Chimica Acta [Elsevier]
卷期号:1263: 341268-341268
标识
DOI:10.1016/j.aca.2023.341268
摘要

The quantitative analysis of drug plasma samples plays an important role in the drug development and drug clinical use. Our research team developed a new electrospray ion source―Micro probe electrospray ionization (μPESI) in the early stage, which was combined with mass spectrometry (μPESI-MS/MS) showing good qualitative and quantitative analysis performance. However, matrix effect severely interfered the sensitivity in μPESI-MS/MS analysis. To solve this problem, we recently developed a Solid-phase purification method based on multi-walled carbon nanotubes (MWCNTs), which was used for removing matrix interfering substances (especially phospholipid compounds) in the preparation of plasma samples, so as to reduce the matrix effect. In this study, aripiprazole (APZ), carbamazepine (CBZ) and omeprazole (OME) were used as representative analytes, the quantitative analysis related to the plasma samples spiked with the analytes above and the mechanism of the MWCNTs to reduce matrix effect were both investigated. Compared with the ordinary protein precipitation, MWCNTs could reduced the matrix effect for several to dozens of times, which resulting from the removement of phospholipid compounds from the plasma samples by MWCNTs in the selective adsorption manner. We further validated the linearity, precision and accuracy of this pretreatment technique by the μPESI-MS/MS method. These parameters all met the requirements of FDA guidelines. It was showed that MWCNTs have a good application prospect in the drug quantitative analysis of plasma samples using the μPESI-ESI-MS/MS method.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
165完成签到,获得积分10
刚刚
刚刚
沐易发布了新的文献求助10
刚刚
1秒前
DoctorL完成签到,获得积分10
1秒前
1秒前
Drliu发布了新的文献求助10
1秒前
煜煜子发布了新的文献求助10
1秒前
上官若男应助陈进采纳,获得20
1秒前
sinead333完成签到,获得积分20
1秒前
帅气若魔完成签到 ,获得积分10
2秒前
2秒前
CipherSage应助坦率纹采纳,获得10
2秒前
vincent2934完成签到,获得积分10
2秒前
2秒前
Fqdgest完成签到 ,获得积分10
3秒前
6666发布了新的文献求助10
3秒前
个性的荆发布了新的文献求助10
3秒前
3秒前
纯真醉波完成签到,获得积分10
4秒前
王sy完成签到 ,获得积分10
5秒前
oudian发布了新的文献求助10
6秒前
6秒前
jiabaoyu发布了新的文献求助10
6秒前
6秒前
YYY完成签到,获得积分20
6秒前
科研通AI6.1应助yuxin采纳,获得30
6秒前
SciGPT应助慈祥的越泽采纳,获得10
7秒前
ww完成签到,获得积分10
7秒前
geek发布了新的文献求助10
7秒前
小涛涛发布了新的文献求助10
7秒前
帅气若魔关注了科研通微信公众号
8秒前
科研通AI6.2应助陈先森采纳,获得10
8秒前
8秒前
单薄念蕾发布了新的文献求助10
8秒前
大个应助ting5260采纳,获得10
9秒前
南风似潇发布了新的文献求助10
9秒前
哈哈哈哈呵完成签到,获得积分10
9秒前
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6040568
求助须知:如何正确求助?哪些是违规求助? 7777009
关于积分的说明 16231248
捐赠科研通 5186669
什么是DOI,文献DOI怎么找? 2775483
邀请新用户注册赠送积分活动 1758574
关于科研通互助平台的介绍 1642194