Evidence map›Paper›PMID 40657040›Full record

ArticleDrug design, development and therapy2025

Development and Validation of a UHPLC-MS/MS Method for Ciprofol Detection in Plasma: Application in Clinical Pharmacokinetic Studies.

Jiaxi Zhu, Ying Cao, Xingan Zhang, Bo Xu

Abstract readValidation Study
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jiaxi Zhu *The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.
Ying Cao *Department of Anesthesiology, General Hospital of Southern Theater Command of PLA, Guangzhou, Guangdong, 510010, People's Republic of China.
Xingan ZhangDepartment of Anesthesiology, General Hospital of Southern Theater Command of PLA, Guangzhou, Guangdong, 510010, People's Republic of China.
Bo XuDepartment of Anesthesiology, General Hospital of Southern Theater Command of PLA, Guangzhou, Guangdong, 510010, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop and validate an ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for the quantification of ciprofol in human plasma, with the goal of applying this method to pharmacokinetic studies in patients undergoing elective surgery under general anesthesia. Methods: A methanol-based protein precipitation method was employed for sample preparation, using ciprofol-d6 as the internal standard. Chromatographic separation was achieved on a Shimadzu Shim-pack GIST-HP C18 column (3 µm, 2.1×150 mm) with a mobile phase consisting of 5 mmol·L⁻¹ ammonium acetate (A) and methanol (B). The flow rate was maintained at 0.4 mL·min⁻¹, and the column temperature was set at 40°C. Detection was performed using electrospray ionization (ESI) in negative ion mode with multiple reaction monitoring (MRM). The quantification ion pairs were m/z 203.100→175.000 for ciprofol and m/z 209.100→181.100 for the internal standard. Results: Ciprofol exhibited excellent linearity across the concentration range of 5 to 5000 ng·mL⁻¹ (r > 0.999). The intra-batch and inter-batch precision values were within 4.30% to 8.28%, and the relative deviation ranged from -2.15% to 6.03%. The extraction recovery rate was 87.24% to 97.77%, and the matrix effect relative standard deviation (RSD) was less than 15%. Conclusion: The developed UHPLC-MS/MS method is simple, rapid, accurate, and highly specific, making it suitable for the determination of ciprofol plasma concentrations and pharmacokinetic studies in clinical settings. This method provides a reliable analytical tool for future research on ciprofol in complex biological matrices.

Indexed as

Tandem Mass SpectrometryChromatography, High Pressure LiquidCyclopropanesHumansLimit of DetectionMaleReproducibility of ResultsSpectrometry, Mass, Electrospray Ionization(2-(1R)-1-cyclopropyl)ethyl-6-isopropyl-phenolCyclopropanesciprofolpharmacokineticsUHPLC-MS/MS

Identifiers

PMID40657040
PMCPMC12255265

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.