An ID-HPLC–MS/MS based candidate reference measurement procedure for the quantification of valproic acid in human serum
Huoyan Ji
1
,
Huimin Wang
1
,
Eric Yang
2
,
Qiang Sun
2
,
Wenjing Wang
2
,
Ling Li
2
,
Yunxia Li
2
,
Xiaodong Yang
3
,
Shuangshuang Chen
3
,
Min Shen
3
,
Qingqing Pan
3
2
Reference Laboratory, Nantong Jinglan Biotech Co., Ltd, Nantong, China
|
3
Reference Laboratory, MedicalSystem Biotechnology Co., Ltd., Ningbo, China
|
Publication type: Journal Article
Publication date: 2024-09-13
scimago Q3
wos Q4
SJR: 0.240
CiteScore: 1.5
Impact factor: 1.0
ISSN: 09491775, 14320517
Abstract
Valproic acid (VPA) is widely used for the treatment of epilepsy, bipolar disorder and other psychiatric diseases. Because of its narrow therapeutic window, monitoring the concentrations of VPA in patient’s serum is essential. In this paper, an isotope dilution-liquid chromatography-tandem mass spectrometry-(ID-HPLC–MS/MS) based candidate reference measurement procedure (RMP) for the quantification of VPA in human serum was established. After Samples pre-prepared by a simple protein precipitation method, the basic analytical performances of the candidate RMP was validated, including specificity, matrix effect, linearity, limit of quantitation (LOQ) and limit of detection (LOD), intra-and inter-batch precision, recovery rate, carryover, and stability. In order to make the measurement results of VPA traceable, we took all components that affect the accuracy of VPA measurement results into account to evaluate the corresponding uncertainties according to the GUM, including measurement imprecision, the purity of VPA standard, uncertainties caused by weighing during the preparation of calibrators and samples, matrix effect, recovery rate, carryover and sample stability. The candidate RMP separated VPA from potentially interferents in human serum and enabled measurement over a calibrated linear range from 2.60 to 203.57 μg/mL with a good correlation coefficient of 0.9995, and no significant matrix effects were observed. The intra-day and inter-day coefficients of variation (CV%) were 0.30–1.64% and 0.67–1.39%, respectively. The average recovery rates were between 94.55% and 96.93%. The LOD and LOQ were 0.23 μg/mL and 2.10 μg/mL, respectively. The expanded measurement uncertainties were 3.19% (k = 2) at 9.45 μg/mL, 3.14% (k = 2) at 48.86 μg/mL, and 2.95% (k = 2) at 97.23 μg/mL (k = 2), respectively.
Found
Nothing found, try to update filter.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Total citations:
0
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Ji H. et al. An ID-HPLC–MS/MS based candidate reference measurement procedure for the quantification of valproic acid in human serum // Accreditation and Quality Assurance. 2024.
GOST all authors (up to 50)
Copy
Ji H., Wang H., Yang E., Sun Q., Wang W., Li L., Li Y., Yang X., Chen S., Shen M., Pan Q. An ID-HPLC–MS/MS based candidate reference measurement procedure for the quantification of valproic acid in human serum // Accreditation and Quality Assurance. 2024.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1007/s00769-024-01619-5
UR - https://link.springer.com/10.1007/s00769-024-01619-5
TI - An ID-HPLC–MS/MS based candidate reference measurement procedure for the quantification of valproic acid in human serum
T2 - Accreditation and Quality Assurance
AU - Ji, Huoyan
AU - Wang, Huimin
AU - Yang, Eric
AU - Sun, Qiang
AU - Wang, Wenjing
AU - Li, Ling
AU - Li, Yunxia
AU - Yang, Xiaodong
AU - Chen, Shuangshuang
AU - Shen, Min
AU - Pan, Qingqing
PY - 2024
DA - 2024/09/13
PB - Springer Nature
SN - 0949-1775
SN - 1432-0517
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_Ji,
author = {Huoyan Ji and Huimin Wang and Eric Yang and Qiang Sun and Wenjing Wang and Ling Li and Yunxia Li and Xiaodong Yang and Shuangshuang Chen and Min Shen and Qingqing Pan},
title = {An ID-HPLC–MS/MS based candidate reference measurement procedure for the quantification of valproic acid in human serum},
journal = {Accreditation and Quality Assurance},
year = {2024},
publisher = {Springer Nature},
month = {sep},
url = {https://link.springer.com/10.1007/s00769-024-01619-5},
doi = {10.1007/s00769-024-01619-5}
}