Startseite Medizin An isotope dilution-liquid-chromatography-tandem mass spectrometry-based candidate reference measurement procedure for the quantification of total and free valproic acid in human serum and plasma
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An isotope dilution-liquid-chromatography-tandem mass spectrometry-based candidate reference measurement procedure for the quantification of total and free valproic acid in human serum and plasma

  • Tobias Schierscher , Linda Salzmann , Neeraj Singh , Sandra Fleischer , Carina Schäfer , Julia Hoop , Friederike Bauland , Andrea Geistanger , Lorenz Risch ORCID logo , Christoph Seger und Judith Taibon EMAIL logo
Veröffentlicht/Copyright: 4. November 2025

Abstract

Objectives

An isotope dilution liquid chromatography-tandem mass spectrometry (ID-LC-MS/MS)-based candidate reference measurement procedure (cRMP) was developed and validated to measure serum and plasma concentrations of the total and free form of valproic acid.

Methods

Quantitative nuclear magnetic resonance spectroscopic methodology was used to determine the absolute content (g/g) of the reference material, ensuring traceability to SI units. Separation of valproic acid from potential unknown interferences was achieved with reversed-phase chromatography. A protein precipitation protocol was established for sample preparation for total valproic acid, while the free form was separated by ultrafiltration. Assay validations and measurement uncertainties were aligned with guidelines from the Clinical and Laboratory Standards Institute, the International Conference on Harmonization, and the Guide to the Expression of Uncertainty in Measurement.

Results

The cRMPs were highly selective and specific with no evidence of matrix effects, allowing quantifying total and free valproic acid in a range of 2.40–145 μg/mL and 1.60–42.0 μg/mL, respectively. Intermediate precision was <4.0 % and repeatability CV ranged from 0.9 to 3.5% for all concentrations of free and total valproic acid. The relative mean bias ranged from −0.4 to 4.1 % for native serum and from −0.3 to 3.5 % for Li-heparin plasma levels for total valproic acid. Free valproic acid showed mean biases between −2.9 and 4.0 % for native serum and ultrafiltrates. Measurement uncertainties for single measurements and target value assignment ranged from 1.7 to 3.4 % and 0.9–1.3 %, respectively, for total valproic acid. Free valproic acid ranged from 2.0 to 4.1 % and from 0.8 to 1.5 % for single measurements and target value assignment, respectively.

Conclusions

We present novel ID-LC-MS/MS-based cRMPs for total and free valproic acid in human serum and plasma which provides a traceable and reliable platform for the standardization of routine assays and evaluation of clinically relevant samples.

Introduction

Valproic acid (2-propylpentanoic acid, C8H16O2, molecular weight=144.2 Da, conversion factor from µg/mL to molar unit [µmol/L]=6.9) is a synthetic anticonvulsant medication with diverse applications. The Food and Drug Administration (FDA) approved valproic acid in 1978 for absence seizures and expanded its use to partial seizures in 1983 [1]. It is also used for migraine, bipolar, mood, anxiety, and other psychiatric conditions [2], [3], [4], [5]. Valproic acid modulates gamma amino butyric acid levels, blocks voltage-gated ion channels, and inhibits histone deacetylase [2].

The drug is rapidly absorbed in the gastrointestinal tract, reaching peak serum levels within 1–4 h [6], [7], [8]. Common adverse effects include anorexia, nausea, vomiting, and somnolence [9]. The therapeutic range is 50.0–100 μg/mL, with a laboratory alert level above 120 μg/mL [10]. Therapeutic drug monitoring is recommended for safety and efficacy due to its high protein binding (80–95 %) [11], which varies with serum concentration [12], low albumin levels, and drug interactions [12], [13], [14], [15], [16], [17]. Therefore, investigation of the active, free fraction is crucial for safe administration [15], 18].

Valproic acid is often monitored using immunoassays since they are fast, convenient and inexpensive [19], [20], [21], [22]. However, these assays can be affected by non-specific cross-reactivities, leading to false results [23], [24], [25], [26], [27]. Chromatographic techniques like high-performance liquid chromatography (HPLC) [28], [29], [30], [31], liquid chromatography-tandem mass spectrometry (LC-MS/MS) [32], [33], [34], [35], and gas chromatography (GC) [36], [37], [38], [39], [40] provide more specific results. HPLC and some GC methods require chemical derivatization due to valproic´s lack of chromophores [41]. The detection with MS can be challenging as well for such a small molecule since they do not produce stable fragments. Therefore, pseudo-MS/MS with the [M−H]⁻ mass m/z=143.0 has been used in several published methods [42], [43], [44]. Methods using adduct formations (CH3COOH and CH3COONa) [45] and dimerization in the ion source were established to exploit the full potential of the MS/MS [46].

There are hardly any methods measuring the free fraction of valproic acid [47]. Therefore, equation-based methods based on immunoassay measurements have been established for the free fraction of valproic acid [12], [47], [48], [49], [50], [51]. Literature shows that samples can be prepared by ultrafiltration [52], [53], [54] and is also recommended for routine clinical practice when no nonspecific adsorption occurs [55].

Regarding metrological traceability, neither reference materials nor reference measurement procedures (RMP) are in place for valproic acid. The RMP approach described here is utilizing quantitative nuclear magnetic resonance (qNMR) methodology to characterize valproic acid reference materials, assigning an absolute mass-fraction value (g/g) and establishing SI-traceability to both the kilogram and mole. Highest order internal standards (ISTDs) used in qNMR are directly traceable to NIST benzoic acid 350 b and/or NIST PS1, the first primary qNMR standard. According to the latest International Union of Pure and Applied Chemistry (IUPAC) Technical Report, qNMR is recognized as a potential primary RMP ideally suited for the characterization of primary reference materials [56].

The measurement uncertainty (k=2) for a candidate RMP of valproic acid was estimated as previously described [57], [58], [59], [60], [61], [62], [63], [64], [65] and ranged from 3.4 to 16.6 % depending on which estimation model – either based on the therapeutic range [66], 67] or on the half lifetime of the drug [68] – was used [69]. Proficiency data from 2001 showed that the between-laboratory variance was 8.0 and 21.3 %, resulting in a proposed expanded measurement uncertainty (k=2) for a candidate RMP of 4.2 and 11.4 % for total and free valproic acid, respectively, when the average inter-laboratory/intra-laboratory variance component factor of 0.8 [70] and the recommendation from Braga and Panteghini was applied [71]. The figures of uncertainty of the estimation’s models are in the range of the uncertainty budget derived from proficiency testing data.

We present here a novel isotope-dilution-LC-MS/MS-based (ID-LC-MS/MS) candidate RMP for the quantification of total valproic acid and free valproic acid in human serum and plasma. To facilitate the reproduction of the candidate RMP by other laboratories, details are described in two supplementary documents focusing on the technical implementation of the procedure and the calculation of measurement uncertainty.

Materials and methods

A detailed method description, including a full list of materials and equipment used, as well as in-depth instructions for the application of the method, is given within Supplementary Materials 1 and 2.

Chemicals and reagents

LC-MS grade methanol (CAS No. 67-56-1) was purchased from Biosolve (Valkenswaard, The Netherlands). Dimethyl sulfoxide (DMSO) (CAS No. 67-68-5) (ACS reagent, ≥ 99.99 %), isopropanol HPLC grade (CAS No. 67-63-0), ammonium acetate LC-MS grade (CAS No. 631-61-8), sodium acetate ACS reagent (CAS No. 127-09-3) and acetic acid (CAS No. 64-19-7) were purchased from Sigma Aldrich (Taufkirchen, Germany). The standard of valproic acid (CAS No. 99-66-1, Cat. No. PHR1061, Lot No. LRAC5650 and LRAD048) was bought from Sigma Aldrich (Taufkirchen, Germany), its deuterated ISTD, [2H6]-valproic acid (CAS No. 87745-18-4, Cat. No. V094752, Lot No. 4-LDO-89-3) was bought from Toronto Research Chemicals (North York, Canada).

NMR solvent DMSO‑d6 (CAS Nr.: 2206-27-1) and the qNMR ISTD 1,3,5-trimethoxybenzene (Lot No. BCBW3670) were obtained from Sigma Aldrich, Germany. 5 mm 10-inch NMR tubes were purchased from Sigma Aldrich and/or Euroisotop GmbH (Hadfield, United Kingdom).

Analyte-free human serum was obtained by pooling anonymized, leftover patient samples (n ≥ 5). Therapeutic drug monitoring (TDM) free serum used as surrogate matrix (ID. No. 12095432001) was obtained from Roche Diagnostics GmbH (Mannheim, Germany), native plasma matrix (lithium [Li-heparin], dipotassium ethylene diamine tetraacetic acid [K2-EDTA] and tripotassium [K3-EDTA]) was obtained from anonymized, leftover patient samples (n ≥ 5). Water was produced in-house with a Millipore Milli-Q 3 UV system from Merck (Darmstadt, Germany) and aqua ad iniectabilia B. Braun (Cat No. 530103) was purchased from B. Braun Medical AG (Sempach, Switzerland). All pools prepared from patient samples were in accordance with the Declaration of Helsinki. For filtration two devices were used: Amicon Ultra-15, PLTK Ultracel-PL Membrane, 30 kDa (Cat No. UFC903024) and Centrifree Ultrafiltration Device with Ultracel PL membrane (Cat. No. 4104), both obtained from Merck (Darmstadt, Germany).

General requirements for laboratory equipment

Certified and calibrated equipment was used. The minimum sample weight for the microbalance used (XPR2, Mettler Toledo, Columbus, OH, USA) was determined according to United States Pharmacopeial Convention (USP) guidelines (USP Chapters 41 and 1,251). Positive displacement pipettes were used to measure organic solvents and serum. Volumetric glassware (Class A volumetric flasks) that fulfilled the criteria of ISO 1042 and USP were used to prepare stock and spike solutions.

qNMR for determination of the purity of the standard materials

The qNMR measurements were performed on a JEOL 600 MHz NMR equipped with a He-Cryo probe (4–5 times the sensitivity compared to RT probes). For Valproic acid, single-pulse-1HNMR was utilized for the quantitation (Supplementary Material 2, Figure 1; 1H; δ=2.22 ppm); 1,3,5-trimethoxybenzene as qNMR ISTD, 3H; DMSO‑d6 as solvent with an inter-scan delay of 70 s. The identity of this methine quantitative resonance was established by 2D-HSQC spectrum.

Figure 1: 
Total valproic acid LC-MS/MS derived analytical readouts. (A) Chromatogram of a matrix blank showing the analyte SRM ion trace (left) and ISTD SRM ion trace (right). (B) Chromatogram of calibrator 1 with a concentration of 2.40 µg/mL spiked in analyte-free human serum (left) and ISTD (right). (C) Patient sample with a concentration of 4.85 µg/mL (left) and ISTD (right) showing baseline separation between valproic acid and an unknown interference. ISTD, internal standard; LC-MS/MS, liquid chromatography-tandem mass spectrometry.
Figure 1:

Total valproic acid LC-MS/MS derived analytical readouts. (A) Chromatogram of a matrix blank showing the analyte SRM ion trace (left) and ISTD SRM ion trace (right). (B) Chromatogram of calibrator 1 with a concentration of 2.40 µg/mL spiked in analyte-free human serum (left) and ISTD (right). (C) Patient sample with a concentration of 4.85 µg/mL (left) and ISTD (right) showing baseline separation between valproic acid and an unknown interference. ISTD, internal standard; LC-MS/MS, liquid chromatography-tandem mass spectrometry.

Additionally, we also performed quantum chemical calculations to ascertain the conformer distribution of valproic acid in solution because the Boltzmann average of these structures constitute the NMR spectrum. All the information is presented in the Supplementary Material 3.

Preparation of calibrators and quality control samples

In brief, two individual calibrator stock solutions were prepared which were further used to prepare spike solutions and final calibrator levels. Therefore, per stock solution 500 mg valproic acid was transferred into a 10 mL volumetric flask on an analytical balance (AT261 Delta Range, Mettler Toledo). Then, the flasks were filled up with DMSO to reach concentrations of 50.0 mg/mL. For free valproic acid, 200 mg of valproic acid was weighed and dissolved in 10 mL DMSO, resulting in stock solutions with concentrations of 20.0 mg/mL. The exact concentrations of each stock solution were calculated based on the purity of the analyte (99.7 ± 0.4 % (k=2) and 98.9 ± 0.6 % (k=2), determined by qNMR) and the amount weighed.

These stock solutions were used to prepare working and spike solutions, which were further used to prepare the final calibrator levels. These were prepared by a 1+99 dilution (v+v) into human serum matrix for valproic acid and into mobile phase A for free valproic acid, resulting in concentrations ranging from 2.40 to 145 μg/mL for valproic acid and from 1.60 to 42.0 μg/mL for free valproic acid.

Additionally, four quality control (QC) levels were prepared for each assay. QC levels and calibrators were prepared identically using a third independent stock solution. For free valproic acid however, the spike solutions were diluted into analyte-free human serum ultrafiltrate (obtained by Amicon filter device centrifuged at 1,000 rcf and 25 °C for 180 min). The concentrations of the QC samples were 4.00, 25.0, 75.0 and 120 μg/mL for total valproic acid and 2.00, 6.00, 15.0 and 24.0 μg/mL for free valproic acid.

Internal standard solution

For the preparation of the ISTD stock solutions, [2H6]-valproic acid was dissolved in the appropriated amount of DMSO directly in the manufacturer’s container to achieve a 1,000 μg/mL stock solution. The working solution was prepared by a dilution of the stock solution with ultrapure water to obtain concentrations of 12.5 and 7.50 μg/mL for total and free valproic acid, respectively.

Sample preparation: total valproic acid assay

A total of 100 µL of the ISTD working solution was pipetted into a 2 mL tube (Eppendorf Safe-Lock Tubes; Eppendorf, Hamburg, Germany) and 50 µL of the sample specimen (native sample/calibrator/QC) was added. 1,000 µL precipitation solution (75 % methanol in ultrapure water [v+v]) was added to precipitate proteins and after centrifugation 250 µL of the supernatant was diluted 1+4 (v+v) using mobile phase A.

Sample preparation: free valproic acid assay

A total of 500 µL of native sample was pipetted into a 1 mL Centrifree filter device. The ultrafiltration device was centrifuged at 1,000 rcf and 25 °C for a period of 30 min. In a separate 2 mL tube, a 100 μL of ISTD working solution was mixed with 50 μL of the filtrated sample (calibrator/QC/sample ultrafiltrate) and mixed with 1,000 μL of mobile phase A. Finally, the solution was further diluted with mobile phase A at a ratio of 1+3 (v+v) and stored at 7 °C until analysis.

Liquid chromatography mass spectrometry

Measurements for total and free valproic acid were performed on an Agilent 1,290 Infinity II LC system (Santa Clara, CA, USA) equipped with a binary pump, a vacuum degasser, an autosampler at 7 °C and a column compartment.

Valproic acid was separated using an Agilent Zorbax Eclipse XDB-C18 column (50 × 2.1 mm, 3.5 µm, Santa Clara, CA, USA), which was kept in the column compartment at 50 °C. For total valproic acid analysis an additional Phenomenex Security Guard Cartridge Polar (Art. No. AJ0-7600-S, C18, 4 × 2 mm Lane Cove, Australia) with a Phenomenex Security Guard Cartridge Kit (Art. No. KJ0-4282) was used. The mobile phase A consisted of 2 mM ammonium acetate in ultrapure water/methanol 95+5 (v+v) with 0.05 % acetic acid and 0.025 mM sodium acetate. Mobile phase B contained 2 mM ammonium acetate in methanol/ultrapure water 95+5 (v+v) with 0.05 % acetic acid and 0.025 mM sodium acetate. The LC was performed with a flow rate of 0.4 mL/min and a gradient profile over 13 min. Contamination of the MS was reduced using a divert valve switch, switching the eluent flow either to the MS or to the waste. The injection volume was set to 8 μL.

The detection was performed on an AB Sciex Triple Quad 6,500+ and Q-Trap 6,500+ mass spectrometer (Framingham, Massachusetts, USA) with a Turbo V ion source using a negative electro spray ionization. The quantifier transition (valproate sodium acetate adduct [m/z 225.0–143.0]) sets the basis for the quantitative method and is associated with a correspondent transition of the ISTD [2H6]-valproic acid (valproate sodium acetate adduct [m/z 231.0–149.0]). Supplementary Materials 1 and 2 include detailed LC and MS methods.

System suitability test

A SST was performed prior to each analysis to check the sensitivity of the system, the chromatographic performance and possible carry-over effects. Therefore, a valproic acid stock solution (10 mg/mL valproic acid in DMSO) was used to prepare two concentration levels, SST1 and SST2 with concentrations corresponding to the processed calibrator levels 1 and 8, respectively. The analytical data from experiments were only collected if the SST has been passed. To pass the SST, the signal-to-noise ratio of the quantifier transition for SST1 had to be ≥ 30 and the retention time for both samples had to be within 4.5 ± 0.5 min [72]. Furthermore, two solvent blanks were injected after the SST2 to check possible carry-over effects. The analyte peak area observed in the first blank had to be ≤ 20 % of the analyte peak area of SST1 to pass the SST. This purity criterion applied also to all further blanks in the measurement campaign.

Calibration and structure of analytical series and data processing

At the beginning and end of the analytical series, calibrators (cal 1 – cal 8) with increasing concentrations were measured. Both calibration sets were used to generate the final calibration curve through quadratic regression of the area ratios of the analyte to the ISTD (y) against the analyte concentration (c), resulting in the function (y=a 0 +a 1 x+a 2 x 2 ). Data processing was performed using Analyst software (version 1.6.3 or higher). Analyte and ISTD peaks were integrated within a retention time window of 4.5 ± 0.5 min using a smoothing factor of three and peak splitting factor of two, a noise percentage of 80 %, and a base sub-window of 0.7 min.

Method validation

Assay validation and determination of measurement uncertainty were performed based on existing validation guidelines such as the Clinical & Laboratory Standards Institute’s C62A Liquid Chromatography-Mass Spectrometry Methods [72], the International Council of Harmonization’s guidance document, Harmonised Tripartite Guideline Validation of Analytical Procedures: Text and Methodology Q2 (R1) [73] and the Guide to the expression of uncertainty in measurement (GUM) [74].

Selectivity/specificity

Selectivity was determined by spiking valproic acid and [2H6]-valproic acid into analyte-free human serum, TDM-free serum, and Li-heparin plasma matrices at a concentration of 20.0 (total valproic acid) and 7.80 μg/mL (free valproic acid). Baseline separation of valproic acid and an unknown impurity was evaluated. Moreover, the quantifier and qualifier transitions were checked for possible interfering matrix signals at the expected retention time in matrix blanks. In addition, analyte-free matrices were spiked with ISTD to evaluate whether any residual unlabeled analyte remained within the ISTD. The amount of unlabeled analyte in the ISTD was not supposed to exceed 20 % of the lower limit of the measuring interval (LLMI), which corresponded to the lowest calibrator level.

Matrix effects

A neat solution of 50 ng/mL valproic acid in a 1+1 (v+v) mixture of mobile phase A and mobile phase B was infused via a T-piece post-column. Processed matrix samples (analyte-free human serum, TDM-free serum and plasma [Li-heparin, K2-EDTA, K3-EDTA]) were injected. Any decrease or increase of the MS output at the expected retention time would indicate a matrix component-mediated effect on the ionization.

In a further experiment, calibration curves in different matrices were compared in terms of mean slopes and coefficients of determination (n=6 sample preparations). For total valproic acid, calibration curves were prepared in neat solution (mobile phase A), analyte-free human serum, TDM-free serum and Li-heparin plasma. For free valproic acid, calibration curves were prepared in neat solution (mobile phase A), TDM-free serum ultrafiltrate, and Li-heparin ultrafiltrate. To exclude MEs, the 95 % confidence interval (CI) of the slopes must overlap and the coefficients of determination must be ≥ 0.999.

Moreover, a comparison of absolute areas of the analyte and ISTD was conducted. The analyte and ISTD solutions were spiked into a neat solution (75 % methanol, v+v) and into analyte-free human serum, TDM-free serum, and Li-heparin plasma after protein precipitation at three levels (25.0, 75.0, and 120 μg/mL) for total valproic acid. For free valproic acid, three levels (6.00, 15.0, and 24.0 μg/mL) were spiked into a neat solution (mobile phase A) and the ultrafiltrates of analyte-free human serum, TDM-free serum, and Li-heparin plasma. The observed mean peak area deviations of valproic acid and the ISTD between the different matrices must be comparable.

Linearity

Linearity was determined for an extended calibration range of ± 20 % at the lower and upper end of the measurement range. The final concentration range of the calibrators reached from 1.92 to 175 μg/mL for total valproic acid and from 1.20 to 50.4 μg/mL for free valproic acid. The coefficient of determination and the residuals were determined for each calibration line and had to be ≥ 0.999 and randomly distributed, respectively.

Linearity was also demonstrated by the recovery and linear relationship of serially diluted serum samples. Measurement results must show a linear relationship with a coefficient of determination of ≥ 0.999. Recovery was reported as the percentage of recovery of the measured concentration relative to the nominal concentration of the sample pools.

Lower limit of the measuring interval

To demonstrate accuracy, trueness and precision at the LLMI, spiked analyte-free human serum samples and samples spiked in mobile phase A were prepared with a concentration corresponding to the lowest calibrator level of total valproic acid (2.40 μg/mL) and free valproic acid (1.60 μg/mL), respectively. These samples were prepared 5-fold to ensure reliable results.

Accuracy, trueness, and precision

A five-day validation experiment previously described in Taibon et al. [75] was performed to evaluate the precision and accuracy of the developed methods. The total method variability was estimated using an analysis of variance (ANOVA) based variance component analysis including variability components such as between-injection variability, between-preparation variability, between-calibration variability and between-day variability.

On each day, four spiked analyte-free human serum and Li-heparin plasma samples of total valproic acid covering the measuring range (4.00, 25.0, 75.0 and 120 μg/mL) as well as two native patient samples were prepared in triplicate by two operators (part A and B) and injected twice (n=12 measurements per day, n=60 measurements per 5 days). For free valproic acid, three spiked analyte-free human serum samples (48.0, 84.0 and 110 μg/mL) and two native patient samples were prepared at four days (n=12 measurements per day, n=48 measurements per 4 days) for part A and B. For each part an independent calibration curve was generated and used for quantitative analysis. Data evaluation was done using Biowarp, an internal statistic program based on the VCA Roche Open Source software package in R [76].

Trueness and accuracy for total valproic acid was assessed using four spiked human serum and plasma samples (4.00, 25.0, 75.0 and 120 μg/mL). Moreover, two spiked high concentrated analyte-free human serum samples (150 μg/mL and 200 μg/mL) were diluted with analyte-free human serum to a concentration within the measuring range before sample preparation.

For free valproic acid trueness was assessed by using three spiked analyte-free human serum samples (48.0, 84.0 and 110 μg/mL), assuming a free analyte fraction of approximately 10–30 %, depending on the concentration. The nominal concentration was determined (n=3 sample preparations and two injections) by independent measurement of the free and the bound fraction of valproic acid. Additionally, four spiked analyte-free human serum ultrafiltrate and four spiked Li-heparin plasma ultrafiltrate levels were prepared (2.00, 6.00, 15.0 and 24.0 μg/mL). Dilution integrity was performed using one spiked analyte-free human serum sample with a concentration of 180 μg/mL, that was diluted with analyte-free human serum ultrafiltrate after filtration. The dilution has to show a linear dependency.

All samples were prepared in triplicates for each part A and part B (n=6 measurements) on one day. Accuracy was determined as the percentage recovery of the measured concentration relative to the spiked concentration, while trueness was reported as the percentage recovery of the mean measured concentration relative to the spiked concentration.

Sample stability

The stability of the processed samples (calibrators and QCs) on the autosampler was investigated at 7 °C over a period of 7 and 14 days for total and free valproic acid, respectively. Recoveries were calculated by comparing the measured value with freshly prepared frozen samples.

Stability of calibrator and QC levels stored at −20 °C was evaluated after 21 days. Recoveries were calculated by comparing the mean of the measured value with freshly prepared samples. Stability can be guaranteed for a measurement interval of 2–28 days (x) for x−1 day, and for a measurement interval of >4 weeks (y) for y−1 week.

Equivalence of results between independent laboratories

To assess the agreement of the candidate RMPs between two independent laboratories a method comparison study was performed measuring samples at site 1 (Dr. Risch Ostschweiz AG, Buchs SG, Switzerland) and at site 2 (Roche Diagnostic GmbH, Penzberg, Germany). For total valproic acid, 150 samples (92 native serum and 18 native plasma patient samples, 10 native patient pools, 30 spiked samples) were measured. For free valproic acid, 70 native serum patient samples were used.

The LC-MS system and laboratory equipment used were similar in both laboratories. For gravimetrical procedures site two utilized an ultra-microbalance XP6U/M (Mettler Toledo). Calibrators were prepared independently in both laboratories as described in Supplementary Materials 1 and 2.

Uncertainty of measurements

Measurement uncertainty was determined according to the GUM [74] and Taibon et al. [75], where the following parameters were considered: purity of the reference material based on the certificate, weighing of the analyte, preparation of stock, working, spike and calibrator solutions, preparation of the ISTD solution, sample preparation of the calibrators, measurement of the calibrators and generation of the calibration curve, preparation and measurement of the unknown samples, including the ultrafiltration step for the free form, as well as evaluation of the sample results. To assess the uncertainty in the preparation of the calibrators, a type B evaluation was performed, while all other aspects were evaluated as type A. The total measurement uncertainty was then estimated by combining the type A and type B uncertainties. Further information on type B uncertainty estimation is provided in Supplementary Material 4.

Results

Traceability to SI units

Traceability to the SI unit of mass (kilogram) and the SI unit of the amount of substance (mole) has been established using 1,3,5-trimethoxybenzene as the qNMR ISTD, which is directly traceable to NIST PS1 (the primary qNMR standard). Since the kilogram is now defined by Planck’s constant and the mole by Avogadro’s constant, the qNMR methodology is ideally suited to satisfy both traceability chains. For valproic acid six individual experiments involving six individual weighings (Supplementary Material 3; Table 1 and Figure 2) were performed, yielding a final absolute content value of 99.7 ± 0.4 % (k=2).

Table 1:

Matrix effect data of total valproic acid of three different matrices compared to neat analyte solution. Analyte peak areas, ISTD peak areas, and analyte/ISTD area ratios as used in analyte quantification were investigated. Means from five-fold analysis were used as data input. The relative matrix effect (ME) was calculated as ME (%) =set 2/set 1 × 100, where set 2 corresponds to the respective matrix samples and set 1 to the neat samples.

Valproic acid conc., µg/mL Analyte ISTD Ratio
Mean, % 95 % CI, % Mean, % 95 % CI, % Mean, % 95 % CI, %
25.0

(Level 1)
Analyte-free human serum 105 95–114 93 90–96 112 104–121
TDM-free serum 99 97–102 98 96–100 102 98–106
Li-heparin plasma 102 99–104 99 99–100 102 100–105
75.0

(Level 2)
Analyte-free human serum 91 88–95 93 91–95 98 95–102
TDM-free serum 99 97–101 98 95–100 101 99–103
Li-heparin plasma 98 97–100 98 97–99 100 98–102
120

(Level 3)
Analyte-free human serum 99 94–104 98 95–101 101 98–104
TDM-free serum 100 97–104 101 98–105 99 96–102
Li-heparin plasma 102 98–105 101 99–103 100 98–103
  1. CI, confidence interval; ISTD, internal standard; ME, matrix effect; TDM, therapeutic drug monitoring.

Figure 2: 
Free valproic acid LC-MS/MS derived analytical readouts. (A) Chromatogram of a matrix blank showing the analyte SRM ion trace (left) and ISTD (right). (B) Chromatogram of calibrator level 1 with a concentration of 1.60 µg/mL spiked in mobile phase A (left) and ISTD (right). (C) Pooled patient sample (n ≥ 5) with a concentration of 8.86 µg/mL (left) and ISTD (right). ISTD, internal standard; LC-MS/MS, liquid chromatography-tandem mass spectrometry.
Figure 2:

Free valproic acid LC-MS/MS derived analytical readouts. (A) Chromatogram of a matrix blank showing the analyte SRM ion trace (left) and ISTD (right). (B) Chromatogram of calibrator level 1 with a concentration of 1.60 µg/mL spiked in mobile phase A (left) and ISTD (right). (C) Pooled patient sample (n ≥ 5) with a concentration of 8.86 µg/mL (left) and ISTD (right). ISTD, internal standard; LC-MS/MS, liquid chromatography-tandem mass spectrometry.

Selectivity/specificity

The developed gradient combined with a reversed-phase column (Agilent Zorbax Eclipse XDB-C18, 50 × 2.1 mm, 3.5 μm) showed a baseline separation of valproic acid and an unknown impurity. The separation of the unknown interference was managed by applying isocratic step elution; details of the elution gradient are found in Supplementary Materials 1 and 2. To get an even baseline during this step, the column needs to be equilibrated to the start conditions for 5.5 min with mobile phase A.

Using the valproic acid pseudo-selected reacting monitoring (SRM) (m/z 143.0–143.0) as described in literature, loss of sensitivity in matrix and shifting retention time was observed. Switching to acetate buffered mobile phases [45] led to stabilized analyte retention times. Selecting valproic acid/sodium acetate or valproic acid/acetic acid clusters in the first quadrupole increased ionization yields.

Under the chosen chromatographic conditions, no signals were detected at the expected retention times for valproic acid for both assays when analyzing matrix blank samples. An uncharacterized impurity was detected at the retention time of 5.5 min and showed a resolution of ≥ 3.3 for both assays. No residual unlabeled analyte was observed when ISTD solutions were analyzed (Figures 1 and 2). While measuring native patient samples within the method comparison study, an additionally unknown signal was detected in a very few samples at a retention time of 3.6 min when total valproic acid was measured. The peaks were baseline separated and have therefore no impact on the quantification of valproic acid in patient derived materials (Figure 1C).

Matrix effect

Matrix dependent effects caused by salts, proteins and phospholipids were avoided by ultrafiltration and sample preparation with a dilution after precipitation and ultrafiltration. The post column infusion experiment showed that there was no visual matrix effect (ME) in the ionization field at the expected retention time of valproic acid.

The relative ME, comparing absolute areas of the analyte and ISTD for total valproic acid, ranged from 93 to 102 % for the analyte peak area and from 93 to 101 % for the ISTD peak area across all tested matrices, with the exception of the lowest level in analyte-free serum (Table 1). At this level, the relative ME was found to be 105 % for the analyte peak area and 93 % for the ISTD peak area, indicating a potential ME. This variance is attributed to the fact that, out of the five preparations, two exhibited a higher analyte peak area while the ISTD area remained stable. Since all concentration levels were derived from the same matrix pool, a ME can be excluded. All other measurements remained unaffected, and the ISTD effectively compensates for any potential fluctuations in the MS signals in the remaining measurements.

The relative ME for free valproic acid ranged from 99 to 102 % for the analyte peak area and from 100 to 102 % for the ISTD peak area (see Table 2).

Table 2:

Matrix effect data of free valproic acid of three different matrices compared to neat analyte solution. Analyte peak areas, ISTD peak areas, and analyte/ISTD area ratios as used in analyte quantification were investigated. Means from five-fold analysis were used as data input. The relative matrix effect (ME) was calculated as ME (%)=set 2/set 1 × 100, where set 2 corresponds to the respective matrix samples and set 1 to the neat samples.

Valproic acid level, concentration Analyte ISTD Ratio
Mean, % 95 % CI, % Mean, % 95 % CI, % Mean, % 95 % CI, %
Level 1 (6.00 μg/mL)

Analyte-free human serum 101 99–103 100 100–100 101 99–104
TDM-free serum 102 100–104 100 100–100 102 99–104
Li-heparin plasma 102 100–103 101 101–102 100 99–102
Level 2 (15.0 μg/mL)

Analyte-free human serum 101 98–104 100 99–101 101 97–105
TDM-free serum 102 99–105 100 100–100 101 99–104
Li-heparin plasma 101 100–103 102 101–102 100 98–101
Level 3 (24.0 μg/mL)

Analyte-free human serum 99 98–101 100 100–101 99 98–100
TDM-free serum 101 99–102 101 101–102 99 98–101
Li-heparin plasma 99 99–100 102 101–102 98 96–99
  1. CI, confidence interval; ISTD, internal standard; ME, matrix effect; TDM, therapeutic drug monitoring.

Quantitative analysis of total valproic acid showed mean slopes (n=2, sample preparations) of 0.059 (95 % CI from 0.058 to 0.060) for neat solution, 0.059 (95 % CI from 0.058 to 0.059) for analyte-free human serum, 0.061 (95 % CI from 0.060 to 0.061) for TDM-free serum and 0.059 (95 % CI from 0.057 to 0.060) for Li-heparin plasma. Quantitative analysis of free valproic acid showed mean slopes (n=2, sample preparations) of 0.078 (95 % CI from 0.077 to 0.079) for neat solution, 0.078 (95 % CI from 0.078 to 0.078) for analyte-free human serum ultrafiltrate, 0.078 (95 % CI from 0.077 to 0.080) for TDM-free serum ultrafiltrate and 0.081 (95 % CI from 0.078 to 0.083) for Li-heparin plasma ultrafiltrate. The absence of a ME can be confirmed based on the overlapping CIs of the different experiments. Independent of the matrix used for calibration, coefficients of determination were better than 0.999.

Linearity

Coefficients of determination for all individual calibrators were ≥ 0.999 and therefore linearity was proven for both assays. The serially diluted samples 1 to 11 showed a linear relationship with a correlation coefficient of 1.000 for both total and free valproic acid with recoveries ranging from 101 to 105 % and 95 to 101 % for total and free valproic acid, respectively.

Lower limit of the measuring interval

The relative bias showed a deviation of −0.9 % and the CV was 2.0 % for total valproic acid at a concentration of 2.40 μg/mL. For free valproic acid, the relative bias was found to be −1.6 % with a CV of 1.6 % at a concentration of 1.60 μg/mL.

Accuracy, trueness, and precision

The total method variability was estimated using an ANOVA based variance component analysis. Repeatability CV, including variability components such as between-injection variability and between-preparation variability. Intermediate precision was found to be less than 3.6 % for total valproic acid (n=60) and the repeatability ranged from 1.3 to 3.2 % (Table 3).

Table 3:

Precision performance parameters for total valproic acid quantification using the candidate RMP (n=60 measurements).

Variance source Serum samples CV, %
4.00 μg/mL 25.0 μg/mL 75.0 μg/mL 120 μg/mL Patient sample 1

43.0 μg/mL
Patient sample 2

84.7 μg/mL
Intermediate precision 3.3 1.8 1.9 1.8 1.6 1.4
Between-day 0.8 0.9 0.0 0.0 0.0 0.6
Between-calibration 0.4 0.2 0.9 0.7 0.9 0.3
Repeatability 3.2 1.6 1.6 1.6 1.3 1.3
Between-preparation 1.4 0.7 0.0 0.9 0.3 0.0
Between-injection 2.9 1.4 1.6 1.3 1.3 1.3

Variance source Plasma samples CV, %
4.00 μg/mL 25.0 μg/mL 75.0 μg/mL 120 μg/mL

Intermediate precision 3.4 1.9 1.9 3.2
Between-day 1.3 0.0 0.0 0.0
Between-calibration 0.9 1.1 1.2 2.0
Repeatability 3.0 1.5 1.5 2.6
Between-preparation 0.0 0.0 0.0 2.3
Between-injection 3.0 1.5 1.5 1.0
  1. CV, coefficient of variation; RMP, reference measurement procedure. Conversion factor µg/mL to µmol/L: 6.9. The coefficients of variation for repeatability and intermediate precision, which were determined from the individual variances, are printed in bold.

The precision experiment for free valproic acid consisted of 48 measurements, with data from one day excluded due to technical issues and errors in sample preparation. This resulted in an intermediate precision of ≤ 4.0 % (n=48) for free valproic acid and a repeatability ranging from 1.3 to 3.5 % (Table 4).

Table 4:

Precision performance parameters for free valproic acid quantification using the candidate RMP (n=48 measurements).

Variance source Serum samples CV, %
Level 1

3.60 μg/mL
Level 2

10.0 μg/mL
Level 3

17.1 μg/mL
Patient sample 1

8.68 μg/mL
Patient sample 2

18.2 μg/mL
Intermediate precision 4.0 2.5 1.8 2.5 2.0
Between-day 0.0 1.0 0.0 0.0 0.8
Between-calibration 1.9 1.8 1.3 0.0 0.0
Repeatability 3.5 1.5 1.3 2.5 1.8
Between-preparation 3.0 1.1 0.9 2.4 1.5
Between-injection 1.7 1.0 0.9 0.8 1.0
  1. CV, coefficient of variation; RMP, reference measurement procedure. Conversion factor µg/mL to µmol/L: 6.9. The coefficients of variation for repeatability and intermediate precision, which were determined from the individual variances, are printed in bold.

Total valproic acid showed an accuracy for spiked analyte-free human serum samples between −0.4 and 4.1 % and for spiked Li-heparin plasma samples between −0.3 and 3.5 %. Further, the mean of the high concentrated samples ranged from 1.9 to 2.3 % (Table 5).

Table 5:

Bias and 95 % CI of spiked analyte-free human serum and spiked Li-heparin plasma samples (n=6) of total valproic acid. The mean bias and corresponding confidence intervals were calculated using the individual sample biases of n=6 preparations.

Valproic acid level, concentration Serum Plasma
Mean bias, % 95 % CI, % Mean bias, % 95 % CI, %
Level 1 (4.00 μg/mL) 4.1 2.2–6.0 3.5 1.7–5.4
Level 2 (25.0 μg/mL) −0.4 −1.5–0.7 −0.1 −1.2–1.0
Level 3 (75.0 μg/mL) 0.6 −0.9–2.0 −0.3 −1.3–0.7
Level 4 (120 μg/mL) −0.2 −1.2–2.6 0.3 −1.0–1.5
Dilution 1 (150 μg/mL) 1.9 1.1–2.8
Dilution 2 (200 μg/mL) 2.3 1.2–3.5
  1. CI, confidence interval. Conversion factor µg/mL to µmol/L: 6.9.

To determine the free fraction of valproic acid in serum, total and free fraction was determined. Hence, the following concentrations of the serum samples were used for the accuracy: 3.67 ± 0.08, 10.1 ± 0.1, and 17.2 ± 0.2 μg/mL. A mean bias from −2.9 to −0.9 % for spiked analyte-free human serum (see Table 6) was observed.

Table 6:

Bias and 95 % CI of spiked analyte-free human serum samples (n=6) of free valproic acid. The mean bias and corresponding confidence intervals were calculated using the individual sample biases of n=6 preparations.

Valproic acid level, concentration Serum
Mean bias, % 95 % CI, %
Level 2 (3.67 μg/mL) −2.9 −4.1–1.8
Level 3 (10.1 μg/mL) −0.9 −3.6–1.8
Level 4 (17.2 μg/mL) −1.0 −2.2–0.2
  1. CI, confidence interval. Conversion factor µg/mL to µmol/L: 6.9.

For spiked native serum and native Li-heparin plasma ultrafiltrates, a mean bias from 0.5 to 3.4 % and 0.5–4.0 % were determined (Table 7). Additionally, the high concentrated spiked analyte-free human serum samples showed a linear dependence (r2=1.000) after serial dilution with CVs of ≤ 1.3 %.

Table 7:

Bias and 95 % CI of spiked analyte-free human serum ultrafiltrate and Li-heparin plasma ultrafiltrate samples (n=6) of free valproic acid. The mean bias and corresponding  confidence intervals were calculated using the individual sample biases of n=6 preparations.

Valproic acid level, concentration Serum ultrafiltrate Plasma ultrafiltrate
Mean bias, % 95 % CI, % Mean bias, % 95 % CI, %
Level 1 (2.00 μg/mL) 0.5 −1.8–2.9 0.5 −2.7–3.7
Level 2 (6.00 μg/mL) 3.4 2.0–4.7 4.0 3.5–4.5
Level 3 (15.0 μg/mL) 0.8 −1.4–3.0 2.2 1.0–3.3
Level 4 (24.0 μg/mL) 1.9 0.4–3.3 2.8 1.9–3.7
  1. CI, confidence interval. Conversion factor µg/mL to µmol/L: 6.9.

Stability

Calibrator and QC levels of total valproic acid were found to be stable at 7 °C for 6 days for valproic acid with a mean recovery of 103 %. For free valproic acid, the mean recovery was 100 % after 15 days. Stability of spiked frozen native serum calibrators and QC levels stored at −20 °C were found to be stable for 20 days for total and free valproic acid with mean recoveries of 100 and 98 %, respectively.

Equivalence of results between independent laboratories

The method comparison study of valproic acid containing 150 native anonymized patient samples showed that four samples were below the LLMI, two samples were found to be above the calibration range and six samples were excluded since they were mixed up. Further, two samples had not enough sample volume for the preparation. These samples were therefore excluded from evaluation.

Passing-Bablok regression analysis showed agreement for total valproic acid between the two laboratories. Total valproic acid resulted in a regression equation with a slope of 1.00 (95 % CI 0.99–1.02) and an intercept of 0.10 (95 % CI −0.87–0.65). The Pearson correlation coefficient was 0.994 (Figure 3A). Bland-Altman analysis showed agreement between the two laboratories for total valproic acid. The data scatter is independent of the analyte concentration with a mean bias of 1.1 % (95 % CI 0.34–1.88 %) and a 2S agreement of 8.9 % (lower limit of CI interval from −9.1 to −6.5 % and upper limit of the CI interval from 8.7 to 11.3 %) for total valproic acid (Figure 3B).

Figure 3: 
Results from the patient sample-based total valproic acid method comparison study. (A) Passing-Bablok regression plot including the Pearson regression analysis for the method comparison study of the RMP (n=136) between the independent laboratories (site 1: Risch; site 2: Roche). Passing-Bablok resulted in a regression equation with a slope of 1.00 (95 % CI 0.99 to 1.02) and an intercept of 0.10 (95 % CI −0.90 to 0.65). The Pearson correlation value was ≥ 0.99. (B) Bland-Altman plot for the method comparison study of the RMP (n=136 patients) between two independent laboratories (laboratory 1: Risch site, and laboratory 2: Roche site). The interlaboratory measurement bias was 1.1 % (95 % CI interval from 0.3 to 1.9 %) and the 2SD interval of the relative difference was 8.9 % (lower limit CI interval from −9.1 to −6.5 %, upper limit CI interval from 8.7 to 11.3 %).
Figure 3:

Results from the patient sample-based total valproic acid method comparison study. (A) Passing-Bablok regression plot including the Pearson regression analysis for the method comparison study of the RMP (n=136) between the independent laboratories (site 1: Risch; site 2: Roche). Passing-Bablok resulted in a regression equation with a slope of 1.00 (95 % CI 0.99 to 1.02) and an intercept of 0.10 (95 % CI −0.90 to 0.65). The Pearson correlation value was ≥ 0.99. (B) Bland-Altman plot for the method comparison study of the RMP (n=136 patients) between two independent laboratories (laboratory 1: Risch site, and laboratory 2: Roche site). The interlaboratory measurement bias was 1.1 % (95 % CI interval from 0.3 to 1.9 %) and the 2SD interval of the relative difference was 8.9 % (lower limit CI interval from −9.1 to −6.5 %, upper limit CI interval from 8.7 to 11.3 %).

Additionally, a precision experiment was performed within the second laboratory. The resulting CVs (n=36) for intermediate precision and repeatability were ≤ 4.3 % and ≤ 3.4 %, respectively, for total valproic acid.

For free valproic acid, 70 native patient samples were used for evaluation. Passing-Bablok regression analysis showed agreement for free valproic acid between the two laboratories. Free valproic acid resulted in a regression equation with a slope of 0.99 (95 % CI 0.98–1.00) and an intercept of 0.07 (95 % CI 0.00–0.18). The Pearson correlation coefficient was 0.999 (Figure 4A). Bland-Altman analysis showed agreement between the two laboratories for free valproic acid. The data scatter is independent of the analyte concentration with a mean bias of −0.5 % (95 % CI −1.1–0.0 %) and a 2S agreement of 4.6 % (lower limit of CI interval from −6.0 to −4.1 % and upper limit of the CI interval from 3.1 to 5.0 %) for free valproic acid (Figure 4B).

Figure 4: 
Results from the patient sample-based free valproic acid method comparison study. (A) Passing-Bablok regression plot including the Pearson regression analysis for the method comparison study of the RMP (n=70) between the independent laboratories (site 1: Risch; site 2: Roche). Passing-Bablok resulted in a regression equation with a slope of 0.99 (95 % CI 0.98 to 1.00) and an intercept of 0.07 (95 % CI 0.00 to 0.18). The Pearson correlation value was ≥ 0.999. (B) Bland-Altman plot for the method comparison study of the RMP (n=70 patients) between two independent laboratories (laboratory 1: Risch site, and laboratory 2: Roche site). The interlaboratory measurement bias was −0.5 % (95 % CI interval from −1.1 to 0.0 %) and the 2SD interval of the relative difference was 4.6 % (lower limit CI interval from −6.0 to −4.1 %, upper limit CI interval from 3.1 to 5.0 %).
Figure 4:

Results from the patient sample-based free valproic acid method comparison study. (A) Passing-Bablok regression plot including the Pearson regression analysis for the method comparison study of the RMP (n=70) between the independent laboratories (site 1: Risch; site 2: Roche). Passing-Bablok resulted in a regression equation with a slope of 0.99 (95 % CI 0.98 to 1.00) and an intercept of 0.07 (95 % CI 0.00 to 0.18). The Pearson correlation value was ≥ 0.999. (B) Bland-Altman plot for the method comparison study of the RMP (n=70 patients) between two independent laboratories (laboratory 1: Risch site, and laboratory 2: Roche site). The interlaboratory measurement bias was −0.5 % (95 % CI interval from −1.1 to 0.0 %) and the 2SD interval of the relative difference was 4.6 % (lower limit CI interval from −6.0 to −4.1 %, upper limit CI interval from 3.1 to 5.0 %).

Additionally, a precision experiment was performed within the second laboratory. The resulting CVs (n=36) for intermediate precision and repeatability were ≤ 1.5 % and ≤ 1.6 %, respectively, for free valproic acid. The results are comparable to Site 1, and it could be shown that the method is transferable and meets the requirements independent of the laboratory equipment and personnel.

Uncertainty of results

Measurement uncertainties for single measurements of serum samples for total valproic acid ranged from 1.9 to 3.4 % and for target value assignments (n=6, three measurements on two days) from 0.9 to 1.3 % (Tables 8 and 9). Consequently, the expanded measurement uncertainties (k=2) are between 3.9 and 6.9 % and 1.9 and 2.6 % for single measurements and multiple measurements, respectively.

Table 8:

Overview of measurement uncertainty for total valproic acid quantification with the candidate RMP in spiked analyte-free human serum samples for single measurements.

Level
Level 1

4.00 μg/mL
Level 2

25.0 μg/mL
Level 3

75.0 μg/mL
Level 4

120 μg/mL
Patient sample 1 43.0 μg/mL Patient sample 2 84.7 μg/mL
Type B uncertainty

Calibrator preparation, CV, %
0.85 0.82 0.77 0.74 0.82 0.77

Characterization of reference material 0.20 0.20 0.20 0.20 0.20 0.20
Preparation of
Stock solution 0.23 0.23 0.23 0.23 0.23 0.23
Working solution 0.44
Spike solution 0.58 0.54 0.47 0.42 0.54 0.47
Matrix based calibrator 0.85 0.82 0.77 0.74 0.82 0.77

Type A uncertainty

Mean of measurement results, CV %
3.3 1.8 1.9 1.8 1.6 1.5

Total measurement uncertainty (k=1), % 3.4 2.0 2.1 1.9 1.8 1.7

Expanded measurement uncertainty (k=2), % 6.9 4.0 4.1 3.9 3.5 3.4
  1. CV, coefficient of variation. Conversion factor µg/mL to µmol/L: 6.9. The total measurement uncertainty of the whole approach for target value assignment estimated as a combination of the uncertainty of calibrator preparation (type B uncertainty) and uncertainty of the precision experiment (type A uncertainty) are given in bold.

Table 9:

Overview of measurement uncertainty for total valproic acid for target value assignment (n=6) with the candidate RMP in spiked analyte-free human serum samples.

 Level
Level 1

4.00 μg/mL
Level 2

25.0 μg/mL
Level 3

75.0 μg/mL
Level 4

120 μg/mL
Patient sample 1 43.0 μg/mL Patient sample 2 84.7 μg/mL
Type B uncertainty

Calibrator preparation, CV, %
0.85 0.82 0.77 0.74 0.82 0.77

Characterization of reference material 0.20 0.20 0.20 0.20 0.20 0.20
Preparation of
Stock solution 0.23 0.23 0.23 0.23 0.23 0.23
Working solution 0.44
Spike solution 0.58 0.54 0.47 0.42 0.54 0.47
Matrix based calibrator 0.85 0.82 0.77 0.74 0.82 0.77

Type A uncertainty

Mean of measurement results, CV, %
0.4 0.2 0.3 0.2 0.4 0.2

Total measurement uncertainty (k=1), % 1.3 1.0 1.1 0.9 1.3 1.0

Expanded measurement uncertainty (k=2), % 2.6 1.9 2.2 1.9 2.6 1.9
  1. CV, coefficient of variation. Conversion factor µg/mL to µmol/L: 6.9. The total measurement uncertainty of the whole approach for target value assignment estimated as a combination of the uncertainty of calibrator preparation (type B uncertainty) and uncertainty of the precision experiment (type A uncertainty) are given in bold.

For free valproic acid, the measurement uncertainty for single measurements of serum samples ranged from 2.0 to 4.1 % and for target value assignments (n=6, three measurements on two days) from 1.1 to 1.4 % (Tables 10 and 11). Consequently, the expanded measurement uncertainties (k=2) are between 4.0 and 8.1 % and 2.2 and 2.9 % for single measurements and multiple measurements, respectively.

Table 10:

Overview of measurement uncertainty for free valproic acid quantification with the candidate RMP in spiked analyte-free human serum samples for single measurements.

Level
Level 2

3.60 μg/mL
Level 3

10.0 μg/mL
Level 4

17.1 μg/mL
Patient sample 1 8.68 μg/mL Patient sample 2 18.2 μg/mL
Type B uncertainty

Calibrator preparation, CV, %
0.87 0.86 0.86 0.86 0.77

Characterization of reference material 0.20 0.20 0.20 0.20 0.20
Preparation of
Stock solution 0.23 0.23 0.23 0.23 0.23
Working solution 0.44
Spike solution 0.61 0.60 0.60 0.60 0.47
Matrix based calibrator 0.87 0.86 0.86 0.86 0.77

Type A uncertainty

Mean of measurement results, CV, %
4.0 2.5 1.8 2.5 2.0

Total measurement uncertainty (k=1), % 4.1 2.6 2.0 2.6 2.1

Expanded measurement uncertainty (k=2), % 8.1 5.3 4.0 5.3 4.2
  1. CV, coefficient of variation. Conversion factor µg/mL to µmol/L: 6.9. The total measurement uncertainty of the whole approach for target value assignment estimated as a combination of the uncertainty of calibrator preparation (type B uncertainty) and uncertainty of the precision experiment (type A uncertainty) are given in bold.

Table 11:

Overview of measurement uncertainty for free valproic acid for target value assignment (n=6) with the candidate RMP in spiked analyte-free human serum samples.

Level
Level 2

3.60 μg/mL
Level 3

10.0 μg/mL
Level 4

17.1 μg/mL
Patient sample 1 8.68 μg/mL Patient sample 2 18.2 μg/mL
Type B uncertainty

Calibrator preparation, CV, %
0.87 0.86 0.86 0.86 0.77

Characterization of reference material 0.20 0.20 0.20 0.20 0.20
Preparation of
Stock solution 0.23 0.23 0.23 0.23 0.23
Working solution 0.44
Spike solution 0.61 0.60 0.60 0.60 0.47
Matrix based calibrator 0.87 0.86 0.86 0.86 0.77

Type A uncertainty

Mean of measurement results, CV, %
0.5 0.5 0.3 0.1 0.1

Total measurement uncertainty (k=1), % 1.4 1.5 1.1 0.9 0.8

Expanded measurement uncertainty (k=2), % 2.9 2.9 2.2 1.9 1.6
  1. CV, coefficient of variation. Conversion factor µg/mL to µmol/L: 6.9. The total measurement uncertainty of the whole approach for target value assignment estimated as a combination of the uncertainty of calibrator preparation (type B uncertainty) and uncertainty of the precision experiment (type A uncertainty) are given in bold.

Discussion

The candidate RMPs using ID-LC-MS/MS were developed for quantifying both total and free valproic acid in human serum and plasma. Method development included optimizing the stationary phase, mobile phase gradient, ion source and sample preparation. Protein precipitation followed by dilution was identified as the optimal extraction method for total valproic acid, ensuring comprehensive measurement of both protein-bound and unbound fractions. Conversely, ultrafiltration using the Centrifree® device was employed to isolate free valproic acid, a technique favoured in clinical practice for its simplicity and widespread application.

Traceability to SI units was achieved through qNMR, which enabled highly accurate determination of the analyte’s mass fraction and precise evaluation of measurement uncertainty. The material characterized by qNMR was used as the reference standard for the preparation of calibrator material. Calibrator concentrations were designed to encompass the necessary measurement range effectively. This was accomplished by developing an optimal calibration and control scheme and carefully preparing calibrator and control materials using precise pipetting techniques.

The validation study successfully showed that the assays for total and free valproic acid adhered to the necessary sensitivity, selectivity and reproducibility standards required for a RMP. Additionally, the predefined targets for measurement uncertainty, as mentioned in the introduction, were reached for both total and free valproic acid assays.

A comparison experiment was conducted to evaluate the transferability from another laboratory, confirming that both measurement protocols are transferable. The observed average biases, 1.1 % for total valproic acid and −0.5 % for free valproic acid, were within the acceptable range of type B uncertainty for calibrator production.

Overall, the findings presented in this paper indicate that the measurement procedures meet the established criteria for RMPs for total and free valproic acid.

Conclusions

We are pleased to present the development of new candidate RMPs for the detection of total and free valproic acid in human serum and plasma. Our work demonstrates that both assays provide a traceable and reliable platform for standardization of routine testing and evaluation of clinically relevant samples.


Corresponding author: Judith Taibon, PhD, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany, E-mail:

Acknowledgments

We would like to thank Aline Hoffmeister, Monika Kriner and Michael Dedio for their support in selecting and providing samples.

  1. Research ethics: All procedures were in accordance with the Helsinki Declaration. All samples used were exclusively anonymized leftover samples.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors confirmed they have contributed to the intellectual content of this paper and have met the following 4 requirements: (a) significant contributions to the conception and design, acquisition of data, or analysis and interpretation of data; (b) drafting or revising the article for intellectual content; (c) final approval of the published article; and (d) agreement to be accountable for all aspects of the article thus ensuring that questions related to the accuracy or integrity of any part of the article are appropriately investigated and resolved.

  4. Use of Large Language Models, AI and Machine Learning Tools: Roche Chat, Roche’s artificial intelligence (AI) Technology, was used to improve the language of the manuscript.

  5. Conflict of interest: Lorenz Risch is an employee of Dr. Risch Ostschweiz AG. Tobias Schierscher, Linda Salzmann, Carina Schäfer, Julia Hoop and Christoph Seger were all employees of Dr. Risch Ostschweiz AG at the time the study was conducted. Judith Taibon, Neeraj Singh, Sandra Fleischer, and Andrea Geistanger are all employees of Roche Diagnostics GmbH. Friederike Bauland is an employee of Chrestos Concept GmbH & Co. KG, (Girardetstraβe 1–5, 45131 Essen, Germany) and did the work on behalf of Roche Diagnostics GmbH. Roche employees holding Roche non-voting equity securities (Genussscheine): Judith Taibon, Andrea Geistanger, Sandra Fleischer.

  6. Research funding: This research was funded by Roche Diagnostics GmbH. Lorenz Risch with team is a funded cooperation partner of Roche Diagnostics GmbH. Christoph Seger receives a consultant honorarium from Roche Diagnostics GmbH.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2025-08-13
Accepted: 2025-10-18
Published Online: 2025-11-04

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