Authors:
Mona Al-Shehri Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia

Search for other papers by Mona Al-Shehri in
Current site
Google Scholar
PubMed
Close
,
Mohamed Hefnawy Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia
Department of Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt

Search for other papers by Mohamed Hefnawy in
Current site
Google Scholar
PubMed
Close
,
Hatem Abuelizz Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia

Search for other papers by Hatem Abuelizz in
Current site
Google Scholar
PubMed
Close
, and
Adeeba Alzamil Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia

Search for other papers by Adeeba Alzamil in
Current site
Google Scholar
PubMed
Close
Open access

The US Food and Drug Administration (FDA) has affirmed the use of letrozole (LTZ) combined with palbociclib (PLB) to treat breast malignant tumor growth in postmenopausal women. A straightforward and extremely sensitive reversed-phase high-performance liquid chromatography method with photodiode array detection (RP-HPLC–PDA) was created and validated for the simultaneous determination of LTZ and PLB in rat plasma. The parameters used to give the best separation were a C18 column (150 mm × 4.6 mm, 3.5 μm) as the stationary phase with an isocratic mobile phase composed of methanol–30 mM ammonium acetate at a ratio of 60:40 (v/v), pH = 5.5, a flow rate of 0.8 mL/min, and detection wavelengths of 240 and 220 nm for LTZ and PLB, respectively. The developed method was assessed by the FDA rules over a range of 10–600 ng/mL for LTZ and PLB. The mean of %recovery of LTZ and PLB extracted from rat plasma by acetonitrile-based deproteinization was 91.06 ± 2.73 and 90.30 ± 1.95%, respectively, and the limits of detection were 5 ng/mL for LTZ and 7 ng/mL for PLB in rat plasma. The mean values of Tmax and Cmax were 6 ± 0.00 h and 266.96 ± 21.23 ng/mL for LTZ and 4 ± 0.00 h and 508.75 ± 61.56 ng/mL for PBL, respectively, after intraperitoneal administration of both drugs to rats. The developed HPLC–PDA method was demonstrated to be robust and was effectively applied to study the pharmacokinetics of LTZ and PLB in rat plasma.

Abstract

The US Food and Drug Administration (FDA) has affirmed the use of letrozole (LTZ) combined with palbociclib (PLB) to treat breast malignant tumor growth in postmenopausal women. A straightforward and extremely sensitive reversed-phase high-performance liquid chromatography method with photodiode array detection (RP-HPLC–PDA) was created and validated for the simultaneous determination of LTZ and PLB in rat plasma. The parameters used to give the best separation were a C18 column (150 mm × 4.6 mm, 3.5 μm) as the stationary phase with an isocratic mobile phase composed of methanol–30 mM ammonium acetate at a ratio of 60:40 (v/v), pH = 5.5, a flow rate of 0.8 mL/min, and detection wavelengths of 240 and 220 nm for LTZ and PLB, respectively. The developed method was assessed by the FDA rules over a range of 10–600 ng/mL for LTZ and PLB. The mean of %recovery of LTZ and PLB extracted from rat plasma by acetonitrile-based deproteinization was 91.06 ± 2.73 and 90.30 ± 1.95%, respectively, and the limits of detection were 5 ng/mL for LTZ and 7 ng/mL for PLB in rat plasma. The mean values of Tmax and Cmax were 6 ± 0.00 h and 266.96 ± 21.23 ng/mL for LTZ and 4 ± 0.00 h and 508.75 ± 61.56 ng/mL for PBL, respectively, after intraperitoneal administration of both drugs to rats. The developed HPLC–PDA method was demonstrated to be robust and was effectively applied to study the pharmacokinetics of LTZ and PLB in rat plasma.

Introduction

The most widely recognized tumor kind for females is breast cancer. The treatment of breast cancer disease relies upon the stage and sort of malignant growth [1]. Palbociclib (PLB) combined with letrozole (LTZ) has been affirmed to treat of estrogen receptor (ER)-positive epidermal growth factor receptor 2 (HER2)-negative breast malignancy in postmenopausal women [24]. On March 2017, the US Food and Drug Administration (FDA) approved the use of PLB in combination with LTZ for treatment of ER-positive and HER2-negative cancer [5]. Palbociclib (IBRANCE®, Pfizer Inc.) was developed to overcome the drawbacks of first-generation cyclin-dependent kinase (CDK) inhibitors [6, 7]. PLB is an oral, potent, and selective CDK4/6 inhibitor, which has shown promising antitumor activity, particularly against the estrogen receptor alpha positive (ERα+) breast cancer subtype [8]. PLB is absorbed and reach Cmax after 4–8 h. It was reported that PLB is liable to hepatic metabolism, with the major metabolic pathways related to oxidation and sulfonation, and the minor pathways related to acylation and glucuronidation [9, 10]. To the best of our knowledge, there have been no studies to date on the metabolites of PLB [11]. Letrozole (Femara®) is from an aromatase enzyme system, which is a nonsteroidal competitive inhibitor. Its competitive binding to the heme in the cytochrome P450 subunit of the enzyme tends to inhibit the transformation of androgens to estrogens, thus lowering estrogen biosynthesis in all tissues [12]. LTZ is quickly and completely absorbed from the gastrointestinal tract. It metabolized slowly to an inactive carbinol metabolite (CBL, bis(cyanophenyl)methanol) [13]. The major clearance pathway of this metabolite occurs via its glucuronide conjugate, which is excreted renally. The terminal elimination half-life of LTZ is nearly 2 days, and its steady-state plasma concentration is achieved in 2–6 weeks after a daily 2.5-mg dosing. LTZ has a large volume of distribution (nearly 1.9 L/kg) and binds proteins weakly [14]. The chemical structures of LTZ and PLB are shown in Figure 1.

Figure 1.
Figure 1.

Chemical structures of the studied drugs letrozole (LTZ) and palbociclib (PLB)

Citation: Acta Chromatographica Acta Chromatographica 32, 3; 10.1556/1326.2019.00635

Several analytical techniques have been published for the determination of letrozole alone. First of all, spectrometric methods were applied on LTZ dosage forms [15-17], and the highest sensitivity among them was linear in the range 0.25 to 20 μg/mL [17]. Different high-performance liquid chromatography–UV detection (HPLC–UV) methods are reported to determine LTZ in pharmaceutical dosage forms [18-26]. The best sensitivity among those methods was reported by Mondal et al., [24] ranging from 1 to 50 μg/mL, and the limit of detection (LOD) and limit of quantification (LOQ) were 0.207 μg/mL and 0.627 μg/mL, respectively. Acharjya et al. [27] developed a method to study the pharmacokinetic of letrozole in Wistar rat serum. The analytical method was a selective, with a linearity range of 0.15–100 μg/mL. LOQ was evaluated to be 0.15 μg/mL. In addition, there are different techniques developed, namely, capillary gas chromatography with flame ionization detection (FID) for the analysis of LTZ in dosage forms (LOD: 30.6 μg/mL) [28] and micellar electrokinetic chromatography (MEKC) [2932] methods, which are the best in the analysis of LTZ in biological (human serum, saliva, and urine) with a linearity range of 125–1500 ng/mL and detection limits of 37 to 120 ng/mL in biological samples and of 6 ng/mL in water samples [32]. HPLC with fluorescence detection [3336] or mass spectrometry [3745] was sensitive compared to the above mention techniques, and was therefore used in the pharmacokinetic study of letrozole.

For determination of PLB, there are few validated reversed-phase HPLC with photodiode array detection (RP-HPLC–PDA) methods for determination of PLB in pharmaceutical formulations with a difference in the sensitivity or level of LOD and LOQ [4650]. PLB was determined in human plasma by a HPLC–UV method, and the plasma samples were prepared by solid-phase extraction, utilizing an Oasis hydrophilic–lipophilic parity extraction cartridge (1 mL; 30 mg). The lower limit of detection was 50 ng/mL [51]. PLB does not have natural fluorescence like LTZ; therefore, it is not reported in any publications on the use of fluorescence detection. There were liquid chromatography–tandem mass spectroscopy (LC–MS/MS) methods mention in a clinical study without validation for determination of PLB in human plasma with a LOD of 1.0 ng/mL [52], in mouse plasma using protein precipitation as an extraction method with a linearity of 1.0–1000 ng/mL [53], and in rat, dog, and rabbit plasma [54]. There is one method reported for determination of LTZ with PLB in the dosage form. A RP-HPLC method have been developed and validated to measure PLB and LTZ at a single wavelength (254 nm). The LODs for PLB and LTZ were found to be 0.098 and 0.0821 μg/mL, while the LOQs were 0.381 and 0.315 μg/mL, respectively [55].

An extensive review of the literature did not show any methods that simultaneously analyze LTZ and PLB in plasma by RP-HPLC. The approval of LTZ combination with PLB for the treatment of breast cancer was the basis for developing a method to determine these two drugs simultaneously. Therefore, the aim of our study is to develop a RP-HPLC-PDA method with the selectivity and sensitivity needed to determine low concentrations of LTZ and PLB combination in rat plasma. After development and validation, the method will be applied to investigate the pharmacokinetics of LTZ and PLB in rats treated with these drugs.

Experimental

Reagents and Materials

PLB and LTZ with analytical purity >99% used as reference standards were acquired from Toronto Research Chemicals (Toronto, Ontario, Canada). Internal standard (IS) was paracetamol (reference standard; analytical purity >99%), and analytical level ammonium acetate and acetic acid were taken from WINLAB laboratory chemicals reagents fine chemicals (UK). Methanol and acetonitrile (HPLC-grade solvents, Panreac, Barcelona, Spain) were used in the study. Deionized water obtained from the Milli-Q® Advantage Water Purification System and a Millipore membrane filter (0.2 mm, Nihon, Millipore, Molsheim, France) were used throughout the experiments. Laboratory (healthy adult male Swiss albino) rats were obtained from the King Saud University (Pharmacy College, Experimental Animal Care Centre).

Apparatus and Chromatographic Conditions

A novel validated method was carried out on an HPLC instrument (WATERS, USA) equipped with a binary pump (Waters 1525), a photodiode array detector (Waters 2998), and an autosampler (Waters 2707). The data processing system includes a Dell personal computer and a Breeze 2 program. The stationary phase used was a C18 (4.6 mm × 150 mm, 3.5 μm) column purchased from WATERS (USA). The mobile phase was consisted of methanol–30 mM ammonium acetate (60:40, v/v) adjusted to pH 5.5. It was filtered through a MS®-nylon membrane filter (pore size 0.45 μm, diameter 4.7 cm, Membrane Solutions, USA) and degassed before use. The flow rate was 0.8 mL/min, and the detection wavelengths were at 240 and 220 nm, for LTZ and PLB, respectively. All experiments were performed at room temperature (25 ± 1 °C).

Stock Standard and Working Solutions Preparation

LTZ and PLB Stock Solutions Preparation

Primary LTZ stock solutions was prepared for use as standards and quality controls (QCs) at a concentration of 100 μg/mL by dissolving 5.0 mg of LTZ in a very small volume of dimethyl sulfoxide (DMSO, 10 drops); then, the stock solution was diluted with ultrapure water to obtain a final concentration of 100 μg/mL. Primary stock solutions of PLB were prepared by dissolving 5.0 mg PLB in 0.5 mL ultrapure water at pH = 4.0 (by adding acetic acid); then, the stock was diluted to 100 μg/mL with ultrapure water.

LTZ and PLB Working Solutions Preparation

Working standard solutions of LTZ and PLB were prepared by suitably diluting the above-mentioned stock solutions. The prepared solutions were observed to be stable for 1 month when kept at 2–8 °C, and there was no proof of degradation of LTZ and PLB seen in the chromatograms during this term.

IS Stock and Working Solutions Preparation

An IS was utilized to help measurement of an analyte by adjusting for loss at any point of the analysis, including losses related to plasma impacts. Numerous drugs such as caffeine, tipiracil, and paracetamol were tried, and paracetamol was observed to be the most agreeable IS. A primary stock solution of IS was prepared by dissolving 10 mg of PAR in 100 mL of warm ultrapure water in a 100-mL volumetric flask (100 μg/mL). Working standard solutions were then prepared by suitably diluting the above-mentioned stock solution.

Preparation of Spiked Rat Plasma and Assay Method

Simple protein precipitation was used to obtain samples free from endogenous components, which is essential for increasing recovery and minimizing matrix effects in HPLC–PDA. Different precipitating solvents, such as methanol, ethanol, and acetonitrile, were tested. Acetonitrile proved to be the most suitable for removing endogenous components and obtaining clean plasma samples leading to acceptable matrix effects and recoveries; thus, it was used in the protein precipitation step [56]. Before analysis, the rat plasma samples were defrosted at room temperature. Fifty microliters of rat plasma was aliquoted in a 1.5-mL Eppendorf tube, spiked with 50 μL of the working IS solution at 1000 ng/mL and appropriate aliquots of drug standard solution to give the required concentrations. Each tube was completed to volume of 0.5 mL with deionized water, vortexed for 30 s, and then mixed with 0.5 mL of acetonitrile for deproteinization [56]. The tubes were subsequently vortexed at high speed for 1 min and centrifuged at 6000 rpm for 30 min. The supernatants from each tube were loaded into an autosampler tray, and 20 μL of it were injected (in triplicate) into the HPLC system for analysis under the optimized chromatographic conditions. Blank experiments were run in parallel. Peak area ratios (D/IS) were plotted versus the concentrations of LTZ and PLB [57].

Construction of Calibration Curves

Standards and Quality Control (QC) Samples

Drug-free rat plasma samples spiked with predetermined amounts of LTZ and PLB, along with the IS, were utilized to construct plasma-based calibration curves. Nine spiked samples with different concentrations (10, 20, 30, 50, 100, 200, 300, 400, 500, and 600 ng/mL for LTZ and PLB) were prepared by adding appropriate aliquots of drug standard solutions into plasma. The QC samples were prepared at concentrations of 10 ng/mL (lower limit of quantification [LLOQ]), 30 ng/mL (low), 300 ng/mL (medium), and 600 ng/mL (high) for LTZ and PLB, which were also prepared and processed following the method above.

Validation of Method

Based on the FDA guidelines for bioanalytical methods [58], the proposed method was validated for specificity, linearity, lower limits of detection (LLOD), lower limits of quantification (LLOQ), accuracy, precision, %extraction recovery, dilution integrity, matrix effects (ion suppression/enhancement), and stability.

Specificity

LTZ, PLB, and IS specificities were estimated by comparing the chromatograms gained from 6 batches of the blank plasma and samples with those of plasma spiked with low concentrations equivalent to the LLOQs of both studied drugs and IS. The peak area ratios observed at the PLB and LTZ retention times in each situation were compared to assess the specificity of each signal.

Linearity

The linearity of the assay was evaluated by constructing calibration curve in the plasma spiked with 9 different drug concentrations in the interval of 10–600 ng/mL for LTZ and PLB, along with 50 μL of the IS (1000 ng/mL). Regression analysis was applied to the curve, which was constructed by plotting peak area ratios of LTZ and PLB to that of IS versus the concentrations of the spiked samples.

LLOQ and LLOD

The LLOQ and LLOD are the LTZ and PLB concentrations that give an analytical response of at least 10 times and 3 times the blank signal, respectively. Additionally, analytical responses at the LLOQ should produce reasonable accuracy and precision within ±20%.

%Extraction Recovery

At 4 different QC levels, namely, very low LLOQ (10 ng/mL), low (30 ng/mL), medium (300 ng/mL), and high (600 ng/mL) for LTZ and PLB, the %extraction recovery of LTZ and PLB from plasma samples was evaluated. The peak area obtained from plasma samples spiked pre-extraction is compared to those spiked post-extraction with the same nominal concentration level (n = 6). The extraction recovery of IS was also determined at the same concentration used in the actual analysis.

Matrix Effect

Matrix effect was measured in this assay by performing the same process for assessment of the extraction recovery, except the comparison of samples at 4 different concentrations with and without plasma.

Precision and Accuracy

Precision and accuracy were assessed at two levels, intra-day (on the same day, n = 6) and inter-day (on 3 consecutive days, n = 18). These assessments were performed by analyzing 4 QC samples of PLB and LTZ prepared at LLOQ, low, medium, and high concentrations, as described in the extraction recovery section. For each solution, the ratio of PLB and LTZ peak area to that of IS was used to calculate the actual analyte concentration by substitution into the regression equations, and these values were compared with the nominal values. Relative standard deviation (% RSD) was used to evaluate the intra-day and inter-day precision. To assess accuracy, relative error (Er%) was calculated from the following formula: Er% = (assayed value/nominal value) × 100%.

Dilution Integrity

The dilution of highly concentrated plasma samples, with concentrations beyond the linear range of the proposed assay, was evaluated for its effect on PLB and LTZ recoveries. Plasma samples spiked with high concentrations of PLB and LTZ (1000 ng/mL) were used, following dilution (1:2 and 1:4) with blank plasma samples. The diluted samples were then treated as described under “Sample preparation”.

Stability Studies

QC samples spiked at 4 concentrations of PLB and LTZ were analyzed (n = 6) in order to assess drug stability in the plasma. Stability testing was performed by exposing the QC plasma samples to different conditions: auto-sampler stability (10 °C, 56 h) is the stability of the analyte in the processed sample under the conditions in the autosampler, short-term stability (25 °C, 6 h) or bench-top stability is the stability of an analyte in a matrix under conditions of sample handling during sample processing, extract stability (10 °C, 48 h) assesses the degradation of the processed sample relative to the starting material, and freeze–thaw stability (−30 °C, 3 cycles)e refers to the stability of the analyte in the matrix upon freezing and thawing and was assessed by freezing the plasma samples at approximately −30 °C and then thawing at room temperature for 3 cycles. Moreover, long-term stability (−30 °C for 30 days) assesses the degradation of an analyte in the matrix relative to the starting material after periods of frozen storage. For each sample, PLB and LTZ concentrations were compared to their nominal concentrations to calculate the %recovery.

Pharmacokinetic Study of LTZ and PLB in Rats

The Study Protocols

Ten to 12-week-old adult male Swiss albino rats weighing 250 ± 25 g were obtained from the Experimental Animal Care Center, College of Pharmacy, King Saud University. The animals were acclimated in our laboratory for 2 days under standard conditions of humidity, temperature (25 ± 2 °C), and light (12 h light/12 h dark). Rats were fed with a standard rat pellet diet and had free access to water. All animal procedures employed complied with the standards set forth in the guidelines for care and use of experimental animals by the Committee for Purpose of Supervision of Experiments on Animals (CPCSEA) [59] and the National Institutes of Health (NIH) protocol [60]. The study protocol was approved by the Animal Ethics Committee of Pharmacology Department, College of Pharmacy, King Saud University, Kingdom of Saudi Arabia. After 2 days of acclimation, the rats were randomly divided into 2 groups consisting of 4 rats each. First group of rats were intraperitoneally injected with a combination of LTZ 2 mg/kg and PLB 25 mg/kg, while saline was administered to the remaining group of rats to enable the acquisition of control rat plasma. The injected volume was 0.01 mL/g body weight. Blood samples from animals treated with combination of LTZ and PLB were withdrawn by a retro-orbital technique after sacrificing groups of rats at 0.5, 1, 2, 4, 6, 8, 10, 12, and 24 h after exposure to combination of LTZ and PLB. At a specific time, blood samples were collected from each group in a heparin tube (anticoagulant); then, the plasma samples were separated from blood by centrifugation (3000 rpm at 4 °C) for 10 min and then stored at −2 °C until analysis. Fifty-microliter aliquots of plasma samples were transferred to a series of 1.5-mL Eppendorf tubes and analyzed as described above.

Ethics Statement

The study protocol was approved by the local Research Ethics Committee of Animal Experiments, King Saud University, Riyadh, Saudi Arabia. All experiments were carried out in accordance with the ethical guidelines for experimental studies with animals as per the local Research Ethics committee, King Saud University (Ref. No.: KSU-SE-18-18).

Pharmacokinetic Computations

The LTZ and PLB plasma concentrations were analyzed as a function of time by PK Solver 2.0 Add-in, Excel 2010. The pharmacokinetic parameters were computed based on a noncompartmental analysis (NCA) technique. Statistical comparisons were made between the control group and the treated groups using analysis of variance (ANOVA), followed by Dunnett's test at α = 0.05.

Results and Discussion

Optimization of Chromatographic Conditions

The new simple and accurate HPLC–PDA method for the determination of LTZ and PLB in spiked rat plasma was developed. The chromatographic conditions used for isocratic separation resulted in a good profile for the analytes in the plasma when the C18 (4.6 mm × 150 mm, 3.5 μm) column was used. Different mobile phase ratios were tested to minimize the retention times of the analytes, optimize the separation, and improve peak symmetry. High methanol percentage resulted in shorter retention times of LTZ and PLB, but with low resolution between the two drugs. Decreasing the percentage of methanol improved the resolution with reasonable retention times. The best results with respect to peak symmetry, column efficiency, and resolution were obtained using methanol–30 mM ammonium acetate buffer (pH 5.5; 60:40, v/v) as the mobile phase. The pH of the mobile phase was adjusted with acetic acid to pH 5.5. LTZ and PLB were detected at 240 and 220 nm, respectively. Analytical wavelengths for LTZ and PLB were selected based on the absorption maxima occurring in the spectra obtained (Figure 2). Furthermore, at selected wavelengths, no endogenous interfering peaks from the empty matrix were recorded. LTZ and PLB were successfully extracted from interfering plasma using an acetonitrile-based deproteinization procedure with good recoveries. Due to high recovery with good validation results, paracetamol was selected as an internal standard.

Figure 2.
Figure 2.

UV spectra of LTZ (λmax 240) and PLB (λmax 220) recorded with a PDA detector

Citation: Acta Chromatographica Acta Chromatographica 32, 3; 10.1556/1326.2019.00635

System Suitability

Chromatographic separation using the proposed HPLC–PDA method was performed to evaluate various chromatographic parameters: the capacity factor K, the selectivity factor (α), and the resolution (Rs) between 2 consecutive peaks. Figure 3 shows a representative chromatogram that corresponds to the chromatographic separation of the studied drugs obtained from spiked rat plasma. The peaks of LTZ, PLB, and paracetamol (IS) were well resolved, with retention times of 3.51 ± 0.09, 4.51 ± 0.08, and 2.62 ± 0.06 min, respectively. Analysis was achieved within 5 min. The values of the suitability parameters are presented in Table 1. In conclusion, the method developed in this study, using the mobile phase consisting of methanol–30 mM ammonium acetate buffer adjusted to pH 5.5 (60:40, v/v) with a C18 (4.6 mm × 150 mm, 3.5 μm) column resulted in a satisfactory resolution (Rs = 2.20) between PLB and LTZ and a selectivity factor (α) of 2.24 in a reasonable time of <5 min. Figure 3 shows a typical chromatogram of the studied drugs in spiked plasma under the optimized chromatographic conditions. The proposed method offers high sensitivity, since 10 ng/mL of PLB and LTZ were accurately determined.

Figure 3.
Figure 3.

Chromatogram of the standard mixture of LTZ (600 ng/mL) (peak III) and PLB (600 ng/mL) (peak II) along with the IS (1000 ng/mL) (peak I) spiked in rat plasma

Citation: Acta Chromatographica Acta Chromatographica 32, 3; 10.1556/1326.2019.00635

Table 1.

System suitability parameters for LTZ, PLB, and IS in spiked rat plasma

Parameters LTZ PLB IS
Rs a 1.73 2.20 f
α b 1.41 2.24 f
k c 2.62 3.51 f
t R d , e 3.51 ± 0.09 4.51 ± 0.08 2.62 ± 0.06

Resolution factor, calculated as Rs = (tR2tR1)/0.5(w1+ w2), where tR2 and tR1 are the retention time of second and first peaks, and w1 and w2 are the peak width of first and second peaks.

Selectivity factor, calculated as k2/k1.

Capacity factor, calculated as (tRt0)/t0.

Retention time.

Mean ± SD (n = 10).

Not calculated.

Method Validation

Specificity of the Method

To evaluate the specificity of the developed HPLC–PDA method and to detect interferences, rat plasma samples spiked with 10 ng/mL of LTZ and PLB and 1000 ng/mL of IS, in addition to blank plasma samples, were analyzed. Figure 4(a, b) represents chromatograms of blank plasma samples and plasma samples spiked with the studied drugs and the IS. The peaks of LTZ, PLB, and the IS were well resolved, with retention times of 3.51 ± 0.09, 4.51 ± 0.08, and 2.62 ± 0.06 min, respectively. No endogenous peak from the plasma was found to interfere with the elution of the studied drugs. Deproteinization of the plasma samples was sufficient to isolate LTZ, PLB, and the IS without any interfering endogenous peaks at 240 and 220 nm, therefore proving the specificity of the developed method.

Figure 4.
Figure 4.

(a) Chromatogram of blank rat plasma. (b) Chromatogram of the standard mixture of LTZ (10 ng/mL) (peak III) and PLB (10 ng/mL) (peak II), along with the IS (100 ng/mL) (peak I) spiked in rat plasma

Citation: Acta Chromatographica Acta Chromatographica 32, 3; 10.1556/1326.2019.00635

Linearity and LLOD and LLOQ

The linarites of the method for determination of LTZ and PLB were evaluated by spiking these drugs into blank plasma. Calibrations standards were extracted at each concentration and analyzed. Calibration curves were prepared for each drug, based on the ratio of the peak area signal from the drug to that of paracetamol (IS) vs. the theoretical concentration. Least squares linear regression analysis of the data gave slope, intercept, and correlation coefficients data (Table 2). The concentration range corresponding to a linear response was found to be 10–600 ng/mL for LTZ and PLB. The values of the correlation coefficients and small intercepts indicate that the calibration graph is highly linear. Small values of the standard deviation of residuals (Sy/x), of the intercept (Sa), and of the slope (Sb) indicate low scatter in points around the calibration [57]. As seen in Table 3, the LLODs in plasma were found to be 5 ng/mL for LTZ and PLB. The LLOQ for each calibration graph was 10 ng/mL for LTZ and PLB. These detection limits confirm that it is possible to determine LTZ and PLB in blood samples from patients treated with these drugs.

Table 2.

Statistical data of the regression equation for the calibration of LTZ and PLB obtained from rat plasma by the proposed HPLC–PDA method

Parameters LTZ PLB
Linear range (ng/mL) 10–600 10–600
Regression equation (n = 3), Ya = BXb + A Y = 0.194X + 0.134 Y = 0.10X − 0.0088
Correlation coefficient (r) 0.9996 0.9994
Determination coefficient (r2) 0.9995 0.9992
S y/x 1.032 0.636
S a 0.434 −0.0088
S b 0.0015 0.00093
F 16532.6 11634.32
Degrees of freedom 9 9
Residual sum of squares 9.59 3.64
Regression sum of squares 17620.34 4699.76
LLOD (ng/mL)c 5 7
LLOQ (ng/mL)d 10 10

Represents the peak area ratio (D/IS).

Represents the concentration of the analyte (ng/mL).

S/N = 3.

S/N = 10.

Table 3.

Evaluation of the intra-day and inter-day accuracy and precision for the LLOQ and LLOD determination of LTZ and PLB in rat plasma by the proposed HPLC–PDA

Drug Actual conc. (ng/mL) Measured conc.a (ng/mL) ± SDb %Recoveryc %RSD d
LTZ Intra-day 5 4.33 ± 0.41 86.60 9.47
10 9.54 ± 0.79 95.40 8.28
Inter-day 5 0.41 ± 0.42 86.20 9.75
10 9.53 ± 9.77 95.30 8.08
PLB Intra-day 7 6.32 ± 0.50 90.29 7.91
10 9.67 ± 0.70 96.70 7.24
Inter-day 7 6.30 ± 0.52 90.00 8.25
10 9.66 ± 0.68 96.60 7.04

Concentration.

Mean ± SD based on n = 6.

%Recovery = (measured concentration/actual concentration) × 100.

%RSD = (SD/mean) × 100.

%Extraction Recovery

The extraction recovery of LTZ and PLB from plasma samples was assessed using QC plasma samples spiked with LTZ and PLB at various concentrations, specifically very low LLOQ (10 ng/mL), low (30 ng/mL), medium (300 ng/mL), and high (600 ng/mL) for PLB and LTZ. The mean %recovery was not less than 91.24 ± 3.05% for LTZ and 90.85 ± 2.68 for PLB, indicating that the extraction recovery for all analytes from plasma samples was good. These results are summarized in Table 4.

Table 4.

The mean of %recovery extraction of LTZ and PLB with the IS extracted from rat plasma by acetonitrile-based deproteinization (n = 3)

LTZ PLB
Actual amount (ng/mL) Amount recovered (ng/mL) %Recovery Actual amount (ng/mL) Amount recovered (ng/mL) %Recovery
10 8.76 87.60 10 8.88 88.80
30 27.09 90.30 30 26.87 89.57
300 277.56 92.52 300 269.05 89.68
600 563.00 93.83 600 558.98 93.16
Mean 91.06 Mean 90.30
SD 2.73 SD 1.95

Accuracy and Precision

The results obtained were validated for precision by measuring both the intra-day and inter-day variances of the peak areas of LTZ and PLB. All accuracy and precision values, including the LLOQ, were within the considered acceptable limits [59]. The results presented in Table 5 indicate that the intra-day relative standard deviation, %RSD, ranged between 1.72 and 2.47% for LTZ and between 0.29 and 1.66% for PLB, while the inter-day %RSD values ranged between 1.34 and 2.99% for LTZ and between 0.58 and 2.46% for PLB. The overall recovery (%) of LTZ from in vitro rat plasma ranged from 96.26 to 98.88%, and that for PLB ranged from 94.67 to 99.15% (Table 5). The repeatability of the retention times was also investigated. Since many factors may affect the repeatability of the retention time in HPLC, the experimental conditions were strictly controlled. The standard deviation values of the retention time of LTZ, PLB, and IS for 10 replicates were 3.51 ± 0.09, 4.51 ± 0.08, and 2.62 ± 0.06, respectively, which showed that there was fair repeatability.

Table 5.

Accuracy and precision data obtained when the proposed method was applied to the quality control samples of in vitro rat plasma containing LTZ and PLB

Analyte Actual conc. (ng/mL) Experimental conc. (ng/mL) RSD (%)a Recovery (%) Error (%)b
Intra-dayc LTZ 10 9.54 ± 0.89 9.33 95.40 −4.60
30 29.04 ± 2.66 9.16 96.80 −3.20
300 293.88 ± 3.21 1.09 97.96 −2.04
600 589.89 ± 7.43 1.26 98.31 −1.69
PLB 10 9.67 ± 0.71 7.34 96.70 −3.30
30 29.68 ± 2.46 8.29 98.93 −1.07
300 297.03 ± 9.88 3.33 99.01 −0.99
600 596.44 ± 16.77 2.81 99.41 −0.59
Inter-dayd LTZ 10 9.53 ± 0.88 9.23 95.30 −4.70
30 29.00 ± 2.86 9.86 96.67 −3.33
300 293.87 ± 3.11 1.06 97.96 −2.04
600 589.79 ± 7.23 1.23 98.30 −1.70
PLB 10 9.66 ± 0.70 7.45 96.60 −3.40
30 29.60 ± 2.85 9.61 98.87 −1.13
300 297.00 ± 10.00 3.37 99.00 −1.00
600 596.50 ± 20.33 3.41 99.42 −0.58

Expressed as % RSD: (SD/mean) × 100.

Calculated as ([found conc. − actual conc.]/actual conc.) × 100.

Mean ± SD based on n = 3.

Mean ± SD based on n = 9.

Matrix Effects

Based on the FDA guidelines for bioanalytical methods, the estimation of matrix effects comprises a remarkable and essential part of the validation of the quantitative analysis of drugs in plasma samples [59]. Matrix effects can result in co-elution of endogenous matter that exists in biological samples. This may produce a signal in the chromatogram of the target analyte, which can obviously decrease or increase the response of the analyte to affect the sensitivity, accuracy, and precision of the method. The matrix effect was measured in this study by performing the same process used for assessment of extraction recovery, but comparing the results obtained at 4 different drug concentration levels with and without the added plasma. As seen in Table 6, the mean matrix effect values at 4 concentrations of LTZ and PLB were more than 88.17%, and the calculated relative standard deviations of the drugs were less than 11.83%. This confirms that the proposed method was practically free from matrix effects for the determination of LTZ and PLB in rat plasma. Because the matrix effect was low, trace analysis of LTZ and PLB in plasma samples is possible using the proposed method.

Table 6.

Evaluation of the matrix effect for the determination of LTZ and PLB in rat plasma by the proposed HPLC–PDA

DRUG Concentration (ng/mL) Mean recovery (%) ± RSDa E r(%)b
LTZ 10 91.77 ± 5.60 8.23
30 93.15 ± 6.34 6.95
300 96.13 ± 3.24 3.97
600 98.55 ± 2.13 1.45
PLB 10 88.86 ± 2.19 10.14
30 90.63 ± 0.58 9.37
300 91.00 ± 1.29 9.00
600 94.42 ± 0.36 5.58

RSD of 6 determination.

E r (%): percentage relative error.

Dilution Integrity

The effect of diluting plasma samples containing very high analyte concentrations was assessed by a dilution integrity test. Plasma samples that contained high concentrations of each of the studied drugs (1000 ng/mL for both LTZ and PLB) were diluted with rat plasma (1:2 and 1:4) and then analyzed by the proposed method. The mean percent relative standard deviation (% ± RSD) for each situation was calculated and is shown in Table 7. All % ± RSD values were within ±15% of the nominal values, which demonstrates the integrity of the analysis after dilution of the plasma samples up to 4 times. Sample dilution should not affect the accuracy and precision [59].

Table 7.

Dilution integrity LTZ and PLB in rat plasma by the proposed HPLC-PDA method (n = 3)

Drugs Dilution fold Mean recovery (%) ± %RSD E r (%)a
LTZ 1:2 101.77 ± 5.56 +1.77
1:4 103.87 ± 9.61 +3.87
PLB 1:2 106.89 ± 3.82 +6.89
1:4 103.97 ± −2.67 +3.97

E r (%): percentage relative error.

Stability

Quality control samples containing LTZ and PLB were used for stability experiments. Stability was assessed under various conditions. The deviations of the main test responses for LTZ and PLB were within ±5% of the appropriate controls. No evidence of degradation was observed during sample processing and storage for at least 1 month in a freezer at 4 °C. No effect on quantification of LTZ and PLB was observed for the short-term stability on the frozen samples kept at room temperature. The results of these studies as shown in Table 8 suggest that the rat plasma samples containing LTZ and PLB can be handled under normal laboratory conditions without incurring any significant loss of these drugs.

Table 8.

Stability data of LTZ and PLB in rat plasma under various stability conditions (n = 3) by the proposed HPLC–PDA method

Mean recovery (%) ± RSDa
Drug Conc (ng/mL) Autosampler stability (10 °C, 56 h)b Short-term stability (25 °C, 6 h)c Extract stability (10 °C, 48 h)d Freeze–thaw stability (−30 °C, 3 cycles)e long-term stability (−30 °C, 30 days)f
LTZ 10 91.47 ± 6.12 91.67 ± 1.20 90.27 ± 2.20 90.97 ± 3.30 90.33 ± 0.83
30 93.43 ± 0.79 91.77 ± 1.14 89.50 ± 1.48 89.33 ± 1.41 95.83 ± 2.87
300 94.40 ± 2.32 92.25 ± 1.20 93.06 ± 0.77 91.00 ± 1.37 97.08 ± 1.42
600 96.79 ± 0.89 95.56 ± 1.81 95.89 ± 1.74 96.67 ± 2.30 97.41 ± 1.19
PLB 10 89.43 ± 1.45 90.87 ± 1.55 89.07 ± 2.36 91.40 ± 1.74 92.47 ± 1.39
30 93.86 ± 2.49 92.24 ± 2.49 93.33 ± 3.33 94.10 ± 3.13 92.61 ± 0.73
300 97.04 ± 0.86 95.56 ± 0.26 95.28 ± 0.33 94.97 ± 0.43 95.58 ± 1.61
600 94.69 ± 0.25 95.48 ± 1.49 94.69 ± 2.68 95.43 ± 1.40 94.90 ± 0.30

RSD of 6 determination.

Autosampler stability is the stability of the analyte in the processed sample under the conditions in the autosampler.

Short-term or bench-top stability is the stability of an analyte in a matrix under conditions of sample handling during sample processing.

Extract stability assesses the degradation of the processed sample relative to the starting material.

Freeze–thaw stability refers to the stability of the analyte in the matrix upon freezing and thawing.

Long-term stability assesses the degradation of an analyte in the matrix relative to the starting material after periods of frozen storage.

Assay Robustness

The robustness of an analytical procedure refers to its ability to remain unaffected by small and deliberate variations in method parameters and provides an indication of its reliability for routine analysis [59]. The robustness of the method was assessed using a one-variable-at-a-time (OVAT) approach at 3levels (±0.2%) [59]. Robustness was statistically analyzed using the peak area, migration time, and resolution of LTZ, PLB, and paracetamol (IS). The OVAT procedure varies the levels of a given parameter while keeping the other factors at optimal levels. The studied parameters were the flow rate, the ratio of the mobile phase, the pH, and the maximum wavelength. The results of robustness for different parameters are expressed in %RSD (n = 3) as seen in Table 9. No significant variations in accuracy and precision (retention time; peak area) were found in the tested range, which indicates that this method is robust (RSD values ranged from 0.15 to 3.95%).

Table 9.

The robustness of the method under different analytical conditions at 3 levels (0, ±2%) presented as %RSD values

Parameters On Peak Area On Retention times On Resolution
LTZ PLB IS LTZ PLB IS LTZ PLB IS
Flow rate 0.78 2.82 2.05 1.62 1.38 3.94 2.39 3.51 1.73
0.8 1.43 2.57 1.88 2.91 2.16 2.22 3.53 2.70
0.82 0.68 0.92 0.15 2.62 0.65 3.48 3.33 3.23
Ratio mobile phase 58:42 1.16 1.15 1.15 3.01 2.44 3.54 1.90 3.21
60:40 2.371 2.37 2.37 1.32 2.11 2.98 0.26 0.22
62:38 3.11 1.23 1.11 2.76 3.95 2.90 3.42 3.56
pH 5.4 0.76 1.04 0.23 1.03 0.51 0.56 0.84 1.00
5.5 0.98 1.51 0.65 0.88 1.03 0.17 0.70 0.93
5.6 0.66 0.94 0.43 0.87 1.21 0.54 0.79 0.92
λ max of LTZ 238 3.02 0.16 0.45
240 2.99 1.02 0.67
242 3.41 0.44 0.79
λ max of PLB 218 1.55 0.97 1.31
220 2.01 1.77 0.94
222 1.86 1.57 1.25

Pharmacokinetics Study

The optimized method was applied to pharmacokinetics evaluation of LTZ combined with PLB in rats. The concentrations of LTZ and PLB in rat plasma were determined at 0, 0.5, 1, 2, 4, 6, 8,10, 12, and 24 h after dosing by the optimized HPLC–PDA method. All of the peaks were completely resolved at the therapeutic concentrations of LTZ and PLB. After the determination of serum concentrations vs. time curves (AUC) were constructed for LTZ and PLB as shown in Figure 5, then the main parameters of the pharmacokinetics of LTZ and PLB were calculated. The mean values of Tmax and Cmax were 6 h and 266.96 ± 21.23 ng/mL for LTZ and 4 h and 508.75 ± 61.56 ng/mL for PLB, respectively, as represented in Table 10. The result of the pharmacokinetics of LTZ was similar to results reported on LTZ analysis by fluorescence [3336] or mass detection [3745] alone and was more sensitive than that reported for PLB by HPLC–UV, which was 50 ng/mL [51].

Figure 5.
Figure 5.

The concentration–time profile of the studied drugs in rats after a single intraperitoneal administration of combination of LTZ (2 mg/kg) and PLB (25 mg/kg) to rat

Citation: Acta Chromatographica Acta Chromatographica 32, 3; 10.1556/1326.2019.00635

Table 10.

Mean pharmacokinetic parameters of LTZ and PLB in rat plasma after intraperitoneal administration of 2 mg/kg and 25 mg/kg, respectively

Parameter Unit LTZ PLB
AUC0–24a ng h/mL 2784.61 ± 521.36 3393.52 ± 243.27
AUC0–∞b ng h/mL 2784.61 ± 521.36 3393.52 ± 243.27
C max c ng h/mL 266.96 ± 21.23 508.75 ± 61.56
T max d h 6.00 ± 0.00 4.00 ± 0.00
Kee ng/mL 0.12 ± 0.10 0.53 ± 0.07
V d f mL/g 7.33 ± 6.18 15.63 ± 6.56
CLg mL/min/kg 13.66 ± 2.88 77.73 ± 32.71
t 1/2 h h 7.11 ± 6.42 1.68 ± 0.32

Area under the curve up to the last sampling time.

Area under the curve extrapolated to infinity.

The maximum plasma concentration.

The time taken to reach maximum plasma concentration.

Elimination rate constant.

Volume of distribution.

Total clearance of drug from plasma after oral administration.

Half-life.

Conclusion

The study has optimized a sensitive HPLC–PDA method that is able to determine LTZ and PLB in rat plasma at trace levels. The use of a HPLC technique with PDA detection resulted in sensitivity and selectivity for the determination of LTZ and PLB comparable to the use fluorescence or mass detection. Endogenous interference is removed in the developed method by simply performing deproteinization as a sample clean-up procedure, thereby achieving a high degree of selectivity. Because of the easy and short time sample preparation required, it has good precision and acceptable accuracy, wide linear range, and an especially low limit of detection. Therefore, this method appears to be adequate for the therapeutic and toxicological monitoring of LTZ combined with PLB in clinical practice and kinetics studies of these drugs.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgment

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding the work through research group project no. RGP-VPP-037.

References

  • 1.

    Siegel, R.; Miller, K.; Jemal, A. Cancer J. Clin. 2017, 67, 730.

  • 2.

    Lu J. J. Hematol. Oncol. 2015, 8, 13.

  • 3.

    Finn, R.; Crown, J.; Lang, I.; Boer, K.; Bondarenko, I.; Kulyk, S.; Ettl, J.; Patel, R.; Pinter, T.; Schmidt, M.; Shparyk, Y.; Thummala, A.; Voytko, N.; Fowst, C.; Huang, X.; Kim, S.; Randolph, S.; Slamon, D. Lancet Oncol. 2015, 16, 2535.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Finn, R.; Martin, M.; Rugo, H.; Jones, S.; Im, S.; Gelmon, K.; Harbeck, N.; Lipatov, O.; Walshe, J.; Moulder, S.; Gauthier, E.; Lu, D.; Randolph, S.; Diéras, V.; Slamon, D. N. Eng. J. Med. 2016, 375, 19251936.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    Asghar, U.; Witkiewicz, A.; Turner, N.; Knudsen, E. Nat. Rev. Drug Disc. 2015, 14, 130146.

  • 7.

    Shah, A.; Cristofanilli, M. Curr. Treat Options Oncol. 2017, 18, 6.

  • 8.

    Sablin, M.; Ricci, F.; Loirat, D.; Jobard, A.; Basse, C.; Romano, E.; Tourneau, C.; Dieras, V. Bull. Cancer 2017, 104, 114122.

  • 9.

    Xu, H.; Yu, S.; Liu, Q.; Yuan, X.; Mani, S.; Pestell, R.; Wu, K. J. Hematol. Oncol. 2017, 10, 97.

  • 10.

    Ehab, M.; Elba, M. Breast Cancer 2016, 8, 8391.

  • 11.

    Chavana, B.; Tiwaria, S.; Shankarb, G.; Nimbalkarc, R.; Gargc, P.; Srinivasab, R.; Talluri, M. J. Pharm. Biomed. Anal. 2018, 157, 5957.

  • 12.

    Letrozole (Femara® tablets) https://www.accessdata.fda.gov/drugsatfda_docs/label/2009/020726s018lbl.pdf. Retrieved 2, Feb., 2019

  • 13.

    Novartis Pharmaceuticals Canada Inc , FEMARA® product monograph, Dorval, Quebec, 2008.

  • 14.

    Aman, U.; Buzdar, M.; John, F.; Robertson, M.; Wolfgang Eiermann, M.; Jean-Marc Nabholtz, M. Cancer 2002, 95, 200616.

  • 15.

    Acharjya, S.; Mallick, P.; Panda, P.; Kumar, K.; Annapurna, M. J. Adv. Pharm. Tech. Res. 2010, 1, 348435.

  • 16.

    Ganesh, M.; Kamalakannan, K.; Patil, R.; Upadhyay, S.; Srivatsava, A.; Sivakumar, T. Rasayan J Chem. 2008, 1, 155158.

  • 17.

    Mondal, N.; Pal, T.; Ghosal, S. Pharmazie 2007, 62, 597598.

  • 18.

    Shrivastava, A.; Chakraborty, A.; Rambhade, S.; Patil, U. Pharm. Sin. 2011, 2, 263269.

  • 19.

    Ganesh, M.; Rajasekar, K.; Bhagiyalakshmi, M.; Vinoba, M.; Saktimanigandan, K.; Jang, H. Trop. J. Pharm. Res. 2010, 9, 505510.

  • 20.

    Pallavi, S.; Vasanth, P.; Ramesh, T.; Malothu, R. Int. Res. J. Pharm. 2012, 3, 202204.

  • 21.

    Nataraj, K.; Kiran, K.; Ravinder, R.; Kesinath, R.; Vrushabendra, S. Res. J. Pharm. Biol. Chem. Sci. 2012, 3, 658676.

  • 22.

    Sekar, V.; Jayaseelan, S.; Subash, N.; Kumar, E.; Perumal, P.; Venkatesh, R.; Sekar, M. Int. J. Pharm. Res. Dev. 2009, 1, 17.

  • 23.

    Laha, T.; Patnaik, R.; Sen, S. Indian J. Pharm. Sci. 2008, 70, 401403.

  • 24.

    Mondal, N.; Pal, T.; Ghosal, S. Acta Pol. Pharm. 2009, 66, 1117.

  • 25.

    Pfister, C.; Duval, M.; Godbillon, J.; Gosset, G.; Gygax, D.; Marfil, F.; Sioufi, A.; Winkler, B. J. Pharm. Sci. 1994, 83, 520524.

  • 26.

    Ping, G. ; Yuru. L.; Yuxia, W.; Sumei, J. Chin. J. Pharm. 2001, 7, 317318.

  • 27.

    Acharjya, S.; Bhattamisra, S.; Muddana, B.; Bera, R.; Panda, B.; Mishra, G. Sci. Pharm. 2012, 80, 941953.

  • 28.

    Berzas, J.; Rodriguez, J.; Contento, A.; Cabello, M. J. Sep. Sci. 2003, 26, 908914.

  • 29.

    Rodríguez-Flores, J.; Salcedo, A.; Llerena, M.; Fernández, L. J. Chromatogr. A 2008, 1185, 281290.

  • 30.

    Rodríguez-Flores, J.; Contento Salcedo, A.; Villaseñor Llerena, M.; Muñoz Fernández, L. Electrophoresis 2008, 29, 811818.

  • 31.

    Flores, J.; Salcedo, A.; Fernández, L. Anal. Chem. Insight. 2008, 3, 91101.

  • 32.

    Rodríguez-Flores, J.; Contento-Salcedo, A.; Muñoz Fernández, L. Electrophoresis 2009, 30, 624632.

  • 33.

    Rodríguez, J.; Castañeda, G.; Muñoz, L. J. Chromatogr. B 2013, 913-914, 1218.

  • 34.

    Moussa, B.; El-Bagary, R.; Osman, E.; Anal. Chem. Lett. 2013, 3, 139146.

  • 35.

    Zarghi, A.; Foroutan, S.; Shafaati, A.; Khoddam, A. Chromatographia 2007, 66, 747750.

  • 36.

    Marfil, F.; Pineau, V.; Sioufi, A.; Godbillon, S, J. Chromatogr. B Biomed. Sci. Appl. 1996, 683, 251258.

  • 37.

    Joshi, C.; Vishnubhatla, S.; Chakkirala, S.; Manama, S. Asian J. Pharm. Clin. Res. 2011, 4, 107112.

  • 38.

    Mareck, U.; Sigmund, G.; Opfermann, G.; Geyer, H.; Thevis, M.; Schänzer, W.; Rapid. Commun. Mass. Spectrom. 2005, 19, 36893693.

  • 39.

    Beer, B.; Schubert, B.; Oberguggenberger, A.; Meraner, V.; Hubalek, M.; Oberacher, H. Anal. Bioanal. Chem. 2010, 398, 17911800.

  • 40.

    Mazzarin, M.; Botrè, F. Rapid. Commun. Mass. Spectrom. 2006, 20, 34653476.

  • 41.

    Kang, M.; Hwang, Y.; Lee, W.; Kim, D. Rapid. Commun. Mass. Spectrom. 2007, 21, 252264.

  • 42.

    Shao, R.; Yu, L.; Lou, H.; Ruan, Z.; Jiang, B.; Chen, J. J. Biomed. Chromatogr. 2016, 30, 632637.

  • 43.

    Platova, A.; Miroshnichenko, I.; Ptitsina, S.; Yurchenko, N. Pharm. Chem. J. 2014, 48, 292297.

  • 44.

    Precht, J.; Ganchev, B.; Heinkele, G.; Brauch, H.; Schwab, M.; Mürdter, T. Anal. Bioanal. Chem. 2012, 403, 301308.

  • 45.

    Rodriguez-Mozaz, S.; Lopez de Alda, M.; Barceló, D. J. Chromatogr. A 2007, 1152, 97115.

  • 46.

    Shi, X.; Fan, T.; Yao, J. J. Hebei Univ. Sci. Technol. 2017, 38, 375382.

  • 47.

    Kallepalli, P.; Annapurna, M. Int. J. Green. Pharm. 2018, 12, S270.

  • 48.

    Sreelakshmi, M.; Sasidhar, R.; Raviteja, B. Invent. Rapid. Pharm. Anal. Qual. Assur. 2019, 2, 17.

  • 49.

    Wang, L.; Qiu, F.; Song, W.; Wang, Z. Chin, J. New Drug 2017, 26, 24682471.

  • 50.

    Shanghai Centre ; Guangzhou Univ. Chin. J. Pharm. 2018, 49, 205211.

  • 51.

    Nalanda, R.; Srinivasa, A.; Gowri, D. Int. J. Pharm. Sci. Res. 2018, 9, 38833888.

  • 52.

    Tamura, K.; Mukai, M.; Naito, Y.; Yonemori, K.; Kodaira, M.; Tanabe, Y.; Yamamoto, N.; Osera, S.; Sasaki, M.; Mori, Y.; Hashigaki, S.; Nagasawa, T.; Ko Umeyama, Y.; Yoshino, T. Cancer Sci. 2016, 107, 75.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 53.

    Nguyen, L.; Zhong, W.; Painter, C.; Zhang, C.; Rahavendran, S.; Shen, Z. J. Pharm. Biomed. Anal. 2010, 53, 228234.

  • 54.

    Smith, D.; Tella, M.; Rahavendran, S.; Shen, Z. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2011, 879, 28605.

  • 55.

    Dange, Y.; Bhinge, S.; Salinkhe, V. J. Toxicol. Mech. method 2018, 28, 187194.

  • 56.

    Polson, C.; Sarkar, P.; Incledon, B.; Raguvaran, V.; Grant, R. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2003, 785, 263275.

  • 57.

    Miller, J. C., and Miller, J. N., Statistics for Analytical Chemistry, 2nd Ed., Ellis Horwood, Chichester, England, 2005.

  • 58.

    Guidance for Industry Bioanalytical Method Validation, U.S . Department of Health and Human Services, Food and Drug Administration, 2001.

    • Search Google Scholar
    • Export Citation
  • 59.

    The guidelines for care and use of experimental animals by the Committee for Purpose of Control and Supervision on Experiments on Animals (CPCSEA), 2003.

    • Search Google Scholar
    • Export Citation
  • 60.

    Guide laboratory animals for the care and use of 8th ed. committee for the update of the guide for the care and use of laboratory animals Institute for laboratory animal research Division on earth and life studies, The National Academy of Sciences, USA, 2011.

    • Search Google Scholar
    • Export Citation
  • 1.

    Siegel, R.; Miller, K.; Jemal, A. Cancer J. Clin. 2017, 67, 730.

  • 2.

    Lu J. J. Hematol. Oncol. 2015, 8, 13.

  • 3.

    Finn, R.; Crown, J.; Lang, I.; Boer, K.; Bondarenko, I.; Kulyk, S.; Ettl, J.; Patel, R.; Pinter, T.; Schmidt, M.; Shparyk, Y.; Thummala, A.; Voytko, N.; Fowst, C.; Huang, X.; Kim, S.; Randolph, S.; Slamon, D. Lancet Oncol. 2015, 16, 2535.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Finn, R.; Martin, M.; Rugo, H.; Jones, S.; Im, S.; Gelmon, K.; Harbeck, N.; Lipatov, O.; Walshe, J.; Moulder, S.; Gauthier, E.; Lu, D.; Randolph, S.; Diéras, V.; Slamon, D. N. Eng. J. Med. 2016, 375, 19251936.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    Asghar, U.; Witkiewicz, A.; Turner, N.; Knudsen, E. Nat. Rev. Drug Disc. 2015, 14, 130146.

  • 7.

    Shah, A.; Cristofanilli, M. Curr. Treat Options Oncol. 2017, 18, 6.

  • 8.

    Sablin, M.; Ricci, F.; Loirat, D.; Jobard, A.; Basse, C.; Romano, E.; Tourneau, C.; Dieras, V. Bull. Cancer 2017, 104, 114122.

  • 9.

    Xu, H.; Yu, S.; Liu, Q.; Yuan, X.; Mani, S.; Pestell, R.; Wu, K. J. Hematol. Oncol. 2017, 10, 97.

  • 10.

    Ehab, M.; Elba, M. Breast Cancer 2016, 8, 8391.

  • 11.

    Chavana, B.; Tiwaria, S.; Shankarb, G.; Nimbalkarc, R.; Gargc, P.; Srinivasab, R.; Talluri, M. J. Pharm. Biomed. Anal. 2018, 157, 5957.

  • 12.

    Letrozole (Femara® tablets) https://www.accessdata.fda.gov/drugsatfda_docs/label/2009/020726s018lbl.pdf. Retrieved 2, Feb., 2019

  • 13.

    Novartis Pharmaceuticals Canada Inc , FEMARA® product monograph, Dorval, Quebec, 2008.

  • 14.

    Aman, U.; Buzdar, M.; John, F.; Robertson, M.; Wolfgang Eiermann, M.; Jean-Marc Nabholtz, M. Cancer 2002, 95, 200616.

  • 15.

    Acharjya, S.; Mallick, P.; Panda, P.; Kumar, K.; Annapurna, M. J. Adv. Pharm. Tech. Res. 2010, 1, 348435.

  • 16.

    Ganesh, M.; Kamalakannan, K.; Patil, R.; Upadhyay, S.; Srivatsava, A.; Sivakumar, T. Rasayan J Chem. 2008, 1, 155158.

  • 17.

    Mondal, N.; Pal, T.; Ghosal, S. Pharmazie 2007, 62, 597598.

  • 18.

    Shrivastava, A.; Chakraborty, A.; Rambhade, S.; Patil, U. Pharm. Sin. 2011, 2, 263269.

  • 19.

    Ganesh, M.; Rajasekar, K.; Bhagiyalakshmi, M.; Vinoba, M.; Saktimanigandan, K.; Jang, H. Trop. J. Pharm. Res. 2010, 9, 505510.

  • 20.

    Pallavi, S.; Vasanth, P.; Ramesh, T.; Malothu, R. Int. Res. J. Pharm. 2012, 3, 202204.

  • 21.

    Nataraj, K.; Kiran, K.; Ravinder, R.; Kesinath, R.; Vrushabendra, S. Res. J. Pharm. Biol. Chem. Sci. 2012, 3, 658676.

  • 22.

    Sekar, V.; Jayaseelan, S.; Subash, N.; Kumar, E.; Perumal, P.; Venkatesh, R.; Sekar, M. Int. J. Pharm. Res. Dev. 2009, 1, 17.

  • 23.

    Laha, T.; Patnaik, R.; Sen, S. Indian J. Pharm. Sci. 2008, 70, 401403.

  • 24.

    Mondal, N.; Pal, T.; Ghosal, S. Acta Pol. Pharm. 2009, 66, 1117.

  • 25.

    Pfister, C.; Duval, M.; Godbillon, J.; Gosset, G.; Gygax, D.; Marfil, F.; Sioufi, A.; Winkler, B. J. Pharm. Sci. 1994, 83, 520524.

  • 26.

    Ping, G. ; Yuru. L.; Yuxia, W.; Sumei, J. Chin. J. Pharm. 2001, 7, 317318.

  • 27.

    Acharjya, S.; Bhattamisra, S.; Muddana, B.; Bera, R.; Panda, B.; Mishra, G. Sci. Pharm. 2012, 80, 941953.

  • 28.

    Berzas, J.; Rodriguez, J.; Contento, A.; Cabello, M. J. Sep. Sci. 2003, 26, 908914.

  • 29.

    Rodríguez-Flores, J.; Salcedo, A.; Llerena, M.; Fernández, L. J. Chromatogr. A 2008, 1185, 281290.

  • 30.

    Rodríguez-Flores, J.; Contento Salcedo, A.; Villaseñor Llerena, M.; Muñoz Fernández, L. Electrophoresis 2008, 29, 811818.

  • 31.

    Flores, J.; Salcedo, A.; Fernández, L. Anal. Chem. Insight. 2008, 3, 91101.

  • 32.

    Rodríguez-Flores, J.; Contento-Salcedo, A.; Muñoz Fernández, L. Electrophoresis 2009, 30, 624632.

  • 33.

    Rodríguez, J.; Castañeda, G.; Muñoz, L. J. Chromatogr. B 2013, 913-914, 1218.

  • 34.

    Moussa, B.; El-Bagary, R.; Osman, E.; Anal. Chem. Lett. 2013, 3, 139146.

  • 35.

    Zarghi, A.; Foroutan, S.; Shafaati, A.; Khoddam, A. Chromatographia 2007, 66, 747750.

  • 36.

    Marfil, F.; Pineau, V.; Sioufi, A.; Godbillon, S, J. Chromatogr. B Biomed. Sci. Appl. 1996, 683, 251258.

  • 37.

    Joshi, C.; Vishnubhatla, S.; Chakkirala, S.; Manama, S. Asian J. Pharm. Clin. Res. 2011, 4, 107112.

  • 38.

    Mareck, U.; Sigmund, G.; Opfermann, G.; Geyer, H.; Thevis, M.; Schänzer, W.; Rapid. Commun. Mass. Spectrom. 2005, 19, 36893693.

  • 39.

    Beer, B.; Schubert, B.; Oberguggenberger, A.; Meraner, V.; Hubalek, M.; Oberacher, H. Anal. Bioanal. Chem. 2010, 398, 17911800.

  • 40.

    Mazzarin, M.; Botrè, F. Rapid. Commun. Mass. Spectrom. 2006, 20, 34653476.

  • 41.

    Kang, M.; Hwang, Y.; Lee, W.; Kim, D. Rapid. Commun. Mass. Spectrom. 2007, 21, 252264.

  • 42.

    Shao, R.; Yu, L.; Lou, H.; Ruan, Z.; Jiang, B.; Chen, J. J. Biomed. Chromatogr. 2016, 30, 632637.

  • 43.

    Platova, A.; Miroshnichenko, I.; Ptitsina, S.; Yurchenko, N. Pharm. Chem. J. 2014, 48, 292297.

  • 44.

    Precht, J.; Ganchev, B.; Heinkele, G.; Brauch, H.; Schwab, M.; Mürdter, T. Anal. Bioanal. Chem. 2012, 403, 301308.

  • 45.

    Rodriguez-Mozaz, S.; Lopez de Alda, M.; Barceló, D. J. Chromatogr. A 2007, 1152, 97115.

  • 46.

    Shi, X.; Fan, T.; Yao, J. J. Hebei Univ. Sci. Technol. 2017, 38, 375382.

  • 47.

    Kallepalli, P.; Annapurna, M. Int. J. Green. Pharm. 2018, 12, S270.

  • 48.

    Sreelakshmi, M.; Sasidhar, R.; Raviteja, B. Invent. Rapid. Pharm. Anal. Qual. Assur. 2019, 2, 17.

  • 49.

    Wang, L.; Qiu, F.; Song, W.; Wang, Z. Chin, J. New Drug 2017, 26, 24682471.

  • 50.

    Shanghai Centre ; Guangzhou Univ. Chin. J. Pharm. 2018, 49, 205211.

  • 51.

    Nalanda, R.; Srinivasa, A.; Gowri, D. Int. J. Pharm. Sci. Res. 2018, 9, 38833888.

  • 52.

    Tamura, K.; Mukai, M.; Naito, Y.; Yonemori, K.; Kodaira, M.; Tanabe, Y.; Yamamoto, N.; Osera, S.; Sasaki, M.; Mori, Y.; Hashigaki, S.; Nagasawa, T.; Ko Umeyama, Y.; Yoshino, T. Cancer Sci. 2016, 107, 75.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 53.

    Nguyen, L.; Zhong, W.; Painter, C.; Zhang, C.; Rahavendran, S.; Shen, Z. J. Pharm. Biomed. Anal. 2010, 53, 228234.

  • 54.

    Smith, D.; Tella, M.; Rahavendran, S.; Shen, Z. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2011, 879, 28605.

  • 55.

    Dange, Y.; Bhinge, S.; Salinkhe, V. J. Toxicol. Mech. method 2018, 28, 187194.

  • 56.

    Polson, C.; Sarkar, P.; Incledon, B.; Raguvaran, V.; Grant, R. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2003, 785, 263275.

  • 57.

    Miller, J. C., and Miller, J. N., Statistics for Analytical Chemistry, 2nd Ed., Ellis Horwood, Chichester, England, 2005.

  • 58.

    Guidance for Industry Bioanalytical Method Validation, U.S . Department of Health and Human Services, Food and Drug Administration, 2001.

    • Search Google Scholar
    • Export Citation
  • 59.

    The guidelines for care and use of experimental animals by the Committee for Purpose of Control and Supervision on Experiments on Animals (CPCSEA), 2003.

    • Search Google Scholar
    • Export Citation
  • 60.

    Guide laboratory animals for the care and use of 8th ed. committee for the update of the guide for the care and use of laboratory animals Institute for laboratory animal research Division on earth and life studies, The National Academy of Sciences, USA, 2011.

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand

Senior editors

Editor(s)-in-Chief: Kowalska, Teresa (1946-2023)

Editor(s)-in-Chief: Sajewicz, Mieczyslaw, University of Silesia, Katowice, Poland

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia
  • Łukasz Komsta, Medical University of Lublin, Lublin, Poland
  • Ivana Stanimirova-Daszykowska, University of Silesia, Katowice, Poland
  • Monika Waksmundzka-Hajnos, Medical University of Lublin, Lublin, Poland

Editorial Board

  • Ravi Bhushan, The Indian Institute of Technology, Roorkee, India
  • Jacek Bojarski, Jagiellonian University, Kraków, Poland
  • Bezhan Chankvetadze, State University of Tbilisi, Tbilisi, Georgia
  • Michał Daszykowski, University of Silesia, Katowice, Poland
  • Tadeusz H. Dzido, Medical University of Lublin, Lublin, Poland
  • Attila Felinger, University of Pécs, Pécs, Hungary
  • Kazimierz Glowniak, Medical University of Lublin, Lublin, Poland
  • Bronisław Glód, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
  • Anna Gumieniczek, Medical University of Lublin, Lublin, Poland
  • Urszula Hubicka, Jagiellonian University, Kraków, Poland
  • Krzysztof Kaczmarski, Rzeszow University of Technology, Rzeszów, Poland
  • Huba Kalász, Semmelweis University, Budapest, Hungary
  • Katarina Karljiković Rajić, University of Belgrade, Belgrade, Serbia
  • Imre Klebovich, Semmelweis University, Budapest, Hungary
  • Angelika Koch, Private Pharmacy, Hamburg, Germany
  • Piotr Kus, Univerity of Silesia, Katowice, Poland
  • Debby Mangelings, Free University of Brussels, Brussels, Belgium
  • Emil Mincsovics, Corvinus University of Budapest, Budapest, Hungary
  • Ágnes M. Móricz, Centre for Agricultural Research, Budapest, Hungary
  • Gertrud Morlock, Giessen University, Giessen, Germany
  • Anna Petruczynik, Medical University of Lublin, Lublin, Poland
  • Robert Skibiński, Medical University of Lublin, Lublin, Poland
  • Bernd Spangenberg, Offenburg University of Applied Sciences, Germany
  • Tomasz Tuzimski, Medical University of Lublin, Lublin, Poland
  • Adam Voelkel, Poznań University of Technology, Poznań, Poland
  • Beata Walczak, University of Silesia, Katowice, Poland
  • Wiesław Wasiak, Adam Mickiewicz University, Poznań, Poland
  • Igor G. Zenkevich, St. Petersburg State University, St. Petersburg, Russian Federation

 

KOWALSKA, TERESA (1946-2023)
E-mail: kowalska@us.edu.pl

SAJEWICZ, MIECZYSLAW
E-mail:msajewic@us.edu.pl

Indexing and Abstracting Services:

  • Science Citation Index
  • Sci Search
  • Research Alert
  • Chemistry Citation Index and Current Content/Physical
  • Chemical and Earth Sciences
  • SCOPUS
  • GoogleScholar
  • Index Copernicus
  • CABI
  • CABELLS Journalytics

2023  
Web of Science  
Journal Impact Factor 1.7
Rank by Impact Factor Q3 (Chemistry, Analytical)
Journal Citation Indicator 0.43
Scopus  
CiteScore 4.0
CiteScore rank Q2 (General Chemistry)
SNIP 0.706
Scimago  
SJR index 0.344
SJR Q rank Q3

Acta Chromatographica
Publication Model Online only
Gold Open Access
Submission Fee none
Article Processing Charge 400 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription Information Gold Open Access
Purchase per Title  

Acta Chromatographica
Language English
Size A4
Year of
Foundation
1988
Volumes
per Year
1
Issues
per Year
4
Founder Institute of Chemistry, University of Silesia
Founder's
Address
PL-40-007 Katowice, Poland, Bankowa 12
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2083-5736 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Apr 2024 0 54 33
May 2024 0 46 33
Jun 2024 0 64 25
Jul 2024 0 91 24
Aug 2024 0 83 43
Sep 2024 0 83 33
Oct 2024 0 28 6