Journal of AOAC International最新文献

Background: Marbofloxacin (MAR) is a veterinary antimicrobial, marketed in injectable solution, oral suspension, and tablets. MAR has no monograph for tablet evaluation in official compendiums. High Performance Liquid Chromatography (HPLC) methods present in the literature for evaluating MAR in tablets do not follow the principles of green and sustainable analytical chemistry.

Objective: A green, clean, and sustainable method by HPLC was developed and validated to evaluate the content and stability of MAR in tablets, in addition to comparing it with other methods available in the literature.

Method: A C8, 5 µm, 4.6 × 150 mm (ACE®) column, purified water with 0.2% formic acid-ethanol (70:30, v/v) as the mobile phase, and a flow rate of 0.7 mL/min at 296 nm were used.

Results: The method was linear over a concentration range of 1-10 μg/mL, selective for tablet matrix and forced degradation, precise with relative standard deviations (RDS) less than 5%, accurate with recovery of 99.99%, and robust to changes in the mobile phase, flow rate, wavelength, equipment, and column brand. The retention time for MAR was approximately 3.1 min.

Conclusions: The method can be used in routine analysis of MAR in tablets in chemical-pharmaceutical laboratories. Furthermore, it can be used to verify the stability of MAR-based products and proved to be interchangeable with spectrophotometric method in the UV region and turbidimetric microbiological method.

Highlights: A green method for evaluation of marbofloxacin tablets by HPLC was developed and validated. Additionally, it has been shown to be interchangeable with UV and turbidimetric methods.

Background: Rifaximin, a medication of the rifamycin family with two distinct strengths of 200 mg and 550 mg in tablet form, is useful for the treatment of travelers' diarrhea. It has a solid yellow hue and is very hygroscopic in nature. It exhibits a variety of polymorphic forms such as α, β, γ, δ, and ε depending on bonded moisture. These polymorphs' varying chemical and physical characteristics, such as solubility and water content, may have a big impact on in vivo absorption, which in turn affects efficacy and safety. Therefore, understanding the polymorphic stability of rifaximin is crucial for formulating rifaximin tablets.

Objective: The current effort focuses on the understanding of water vapor sorption properties to control the polymorphic stability of rifaximin in the tablet formulation using the appropriate selection of excipients and manufacturing process.

Methods: The dynamic vapor sorption method in the range of 0-90% relative humidity at 25°C is used for understanding the sorption properties of drug substances and drug excipient mixtures; the state-of-the-art techniques of the X-ray diffraction method are used to identify polymorph conversions; and dissolution procedures are used for in vitro correlation studies.

Results: The sorption study data reveals that rifaximin is highly unstable at relative humidity conditions above 36%. When using excipients that have a low tendency to adsorb water in the formulation, the polymorphic results do not show any change in their intended form, and the in vitro dissolution data show an equivalency with the reference drug product.

Conclusion: The study prompted a successful outcome-oriented development of the formulation processing environment conditions design to develop a test formulation that has adequate polymorphic stability and also similarity in in-vitro dissolution profiles, with the reference product with highest similarity.

Highlights: The overall study described here is useful for swiftly gaining insight into the sorption characteristics of rifaximin, and it contributes to the widespread acceptance of rifaximin tablets as a treatment option.

Background: Monitoring impurities in drug products is a principal requirement of pharmaceutical regulatory authorities all over the world to ensure drug safety. For this reason, there is a great need for analytical QC of dugs products.

Objective: In this study, a simple, efficient, and direct HPLC method was developed for the determination of three impurities of diclofenac.

Methods: The HPLC method was developed using a mobile phase which consisted of an HPLC grade mixture, acetonitrile-0.01M phosphoric acid adjusted to pH 2.3 (1 + 3, by volume).

Results: The separation was performed in 15 min. The calibration curves of the three impurities were linear; the correlation coefficients were 0.999 at concentrations of 0.00015-0.003 µg/mL.

Conclusion: The validation of this method shows that it meets all validation criteria. This shows the reliability of this method for the routine control of diclofenac impurities.

Highlights: The validation of a robust HPLC method for the determination of diclofenac impurities is of great importance for the pharmaceutical industry to control its products.

Background: Propylene chlorohydrins (PCHs) are formed as byproducts in the reaction between starch and propylene oxide (PO). For hydroxypropylated (HP) starch applications in food, Joint FAO/WHO Expert Committee on Food additives (JECFA) set the maximum allowed total propylene chlorohydrin (PHC-t) residues level at 1 mg/kg.

Objective: To develop an improved analytical method for the determination of the PCH-t content in starches in the low mg/kg range to replace the outdated JECFA method.

Methods: A new GC-MS method that utilizes aqueous methanol as extraction medium for PCH. The GC-MS system is equipped with a programmable temperature vaporization injector and Stabilwax-DA column and uses helium as carrier gas. Quantitative detection is achieved in selected ion monitoring mode.

Results: This single-laboratory validation (SLV) study showed good linear calibrations for both 1-chloro-2-propanol (PCH-1) and 2-chloro-1-propanol (PCH-2) in the concentration range of 0.5-4 mg/kg in dry starch. The lower LOQ of PCH-1 and PCH-2 was 0.2-0.3 mg/kg in dry starch, the reproducibility RSD (RSDR) at the concentration level of 1-2 mg/kg in dry starch was 3-5%, and the recovery values for both PCH-1 and PCH-2 were in the range of 78-112% at a concentration level of about 0.6 mg/kg in dry starch. Compared with the current, outdated JECFA method, the new GC-MS method is more sustainable, less laborious, and therefore more economical. The analytical capacity of the new method is 4-5 times higher than the analytical capacity of the old JECFA method.

Conclusion: The GC-MS method is fit for a multi-laboratory trial (MLT).

Highlights: Based on the results of this SLV and the MLT (will be published in a second paper), the Joint FAO/WHO Expert Committee on Food Additives has recently decided to replace the outdated GC-FID JECFA method with the new GC-MS method for the determination of PCH-t content in starches.

Background: Peramivir is a neuraminidase inhibitor that serves as a transition state analogue for influenza neuraminidase, inhibiting the formation of new viruses in infected cells, and has been approved for intravenous administration.

Objective: To validate an HPLC method used to identify the degraded products of the antiviral drug peramivir.

Methods: Herein, we report the identification of compounds formed after the degradation of peramivir through acid, alkali, peroxide, thermal, and photolytic degradation. At the level of toxicology, a technique was devised for the isolation and measurement of peramivir.

Results: A sensitive and reliable LC-tandem mass spectrometry technique for the quantitative measurement of Peramivir and its impurities was developed and verified in order to comply with the recommendations made by the International Council for Harmonisation (ICH). The proposed protocol was in the 50-750 µg/mL range. Relative Standard Deviation values of less than 2.0% indicated good recovery in the range of 98.36-102.57%. Within the studied range, the calibration curves demonstrated good linearity and, in addition, the fitting of correlation coefficient was more than 0.999 for every impurity. Quantitative analysis of contaminants revealed the high efficiency at a low level.

Conclusion: Given its ability to separate degradation products, quantitative analysis is used to detect and quantify known and unknown impurities and degradants in the peramivir drug substance during routine analysis and stability studies. No significant degradation was found in peroxide and photolytic degradation studies.

Highlights: An HPLC method was developed and put to the test in order to analyze the behavior of the impurities of peramivir as they degraded when subjected to the stress conditions suggested by the ICH. Peramivir was found to be stable under peroxide and photolysis conditions but not stable or degradable when exposed to the acid, base, and thermal stress conditions. The method developed was extremely precise, linear, accurate, robust, and rugged. As a result, this technology has the potential to be used in the medication production process for regular impurity analysis as well as for the stability analysis of peramivir.

Background: The replacement of traditional oils with a camphor and menthol-based eutectic mixture is done to prepare oil-less emulsion-like dispersions for co-delivery of cinnarizine (CNZ) and morin hydrate (MH) for managing Meniére's disease (MD). Since two drugs are loaded into the dispersions, the development of a suitable reverse phase-high performance liquid chromatography (RP-HPLC) method for their simultaneous analysis becomes inevitable.

Objective: By applying the analytical quality by design (AQbD) approach, the RP-HPLC method conditions were optimized for the concomitant determination of two drugs.

Methods: The systematic AQbD started with identifying critical method attributes (CMA) through an Ishikawa fishbone diagram, risk estimation matrix, and risk priority number-based failure mode effect analysis followed by screening using fractional factorial design and optimization by face-centered central composite design. The concomitant determination of two drugs by the optimized RP-HPLC method condition was substantiated via specificity checking using combined drug solution, drug entrapment efficiency, and in vitro release of the two drugs from emulsion-like dispersions.

Results: The AQbD optimized RP-HPLC method conditions revealed the retention time for CNZ and MH at 5.017 and 5.323, respectively. The studied validation parameters were found within the ICH-prescribed limits. Exposing the individual drug solutions to acidic and basic hydrolytic conditions yielded extra chromatographic peaks for MH, probably due to the degradation of MH. The DEE % values of 87.40 ± 4.70 and 74.79 ± 2.94, respectively, were noticed for CNZ and MH in emulsion-like dispersions. More than 98% CNZ and MH release was occurred from emulsion-like dispersions within 30 min post-dissolution in artificial perilymph.

Conclusions: Overall, the AQbD approach could be helpful for systematic optimization of RP-HPLC method conditions to estimate concomitantly other therapeutic moieties.

Highlights: The proposed article shows the successful application of AQbD for the optimization of RP-HPLC method conditions to concomitantly estimate CNZ and MH in combined drug solution and dual-drug-loaded emulsion-like dispersions.

Background: Atractylodes chinensis (DC.) Koidz. (A. chinensis) is a perennial herbaceous plant that is widely used as a Chinese medicine herb for gastric diseases. However, the bioactive compounds of this herbal medicine have not been defined, and quality control is imperfect.

Objective: Although the method of quality evaluation method for A. chinensis by high-performance liquid chromatography (HPLC) fingerprinting has been reported in related papers, it remains unknown whether the chemical markers selected are representative of their clinical efficacy. To develop methods for qualitative analysis and improved quality evaluation of A. chinensis.

Method: In this study, HPLC was used to establish fingerprints and conduct similarity evaluation. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to reveal the differences of these fingerprints. Network pharmacology was used to analyze the corresponding targets of the active ingredients. Meantime, an active ingredient-target-pathway network was constructed to investigate the characteristics of the medical efficacy of A. chinensis and to predict potential Q-markers.

Results: Combining network pharmacological effectiveness and composition specificity with the Q-marker concept, atractylodin (ATD), β-eudesmol, atractylenolide Ι (AT-I) and atractylenolide III (AT-III) were predicted to be potential Q-markers of A. chinensis that showed anti-inflammatory, antidepressant, anti-gastric, and antiviral effects by acting on 10 core targets and 20 key pathways.

Conclusions: The HPLC fingerprinting method established in this study is straightforward, and the identified four active constituents can be used as Q-markers of A. chinensis. These findings facilitate effective quality evaluation of A. chinensis and suggest this approach could be applied to evaluate the quality of other herbal medicines.

Highlights: The fingerprints of Atractylodis rhizoma were organically combined with network pharmacology to further clarify its criteria for quality control.

Background: Despite the broad adoption of Soleris® technology in the food industry as semiquantitative method, it is almost completely unexplored in the pharmaceutical industry as a quantitative method for quantification of Burkholderia cepacia complex (Bcc).

Objective: The efficacy of an automated growth-based system for a quantitative determination of the Bcc in an antacid oral suspension was studied. The main purpose of this validation study was to prove that the alternative method's entire performance is not inferior to the conventional method for a quantitative determination of Bcc.

Method: The antacid oral suspension's preservatives were neutralized, leading to the Burkholderia complex's recovery by means of the alternative method and the reference method. A calibration curve was generated for each strain by plotting DTs relative to the corresponding log CFU values. An equivalence of results was done through the construction of calibration curves that allowed the establishment of numerically equivalent results between the enumeration data from the reference method and the alternative method.

Results: Thus following the guidelines of USP, essential validation parameters were shown, such as equivalence of results (CC >0.95), linearity (R2 >0.9025), accuracy (% recovery >70%), operating range, precision and ruggedness (DS <5 and CV <35%), specificity (inclusivity and exclusivity), limit of detection (LOD), and limit of quantification (LOQ).

Conclusions: It was shown that all the test results obtained from the alternative method were in statistical agreement with the standard method. Thus this new technology was found to meet all the validation criteria needed to be considered as an alternative method for the quantification of the Burkholderia complex in the antacid oral suspension tested.

Highlights: As outlined in USP chapter <1223> and demonstrated in this research the implementation of alternative methods can offer benefits in execution and automation while improving accuracy, sensitivity, and precision and can reduce the microbiological process time compared to the traditional ones.

Background: The CompactDry "Nissui" BC is a ready-to-use dry media sheet using a chromogenic medium with selective agents for the detection and enumeration of Bacillus cereus in products after incubation at 30 ± 1°C for 24 ± 2 h.

Objective: The CompactDry "Nissui" BC method was validated to achieve AOAC Performance Tested MethodsSM certification.

Method: The performance of the CompactDry "Nissui" BC was compared to that of ISO 7932:2004 for 10 matrixes, including panna cotta, double cream, dried baby food, dried vegetable soup mix, seafood sticks, salmon pâté, sliced ham, pork liver pâté, ham and cheese sandwich, and Caesar pasta salad with chicken and bacon. Performance indicators included repeatability, difference of means (DOM), and inclusivity/exclusivity.

Results: After log10 transformation of the data, the relative standard deviation of repeatability (RSDr) was ≤9.2% for 28 of the 30 materials (10 matrixes each at three contamination levels) analyzed by the CompactDry "Nissui" BC method and ≤13% for 27 of the 30 matrix/level combinations analyzed by the reference method. Method equivalence was demonstrated in 28 of the 30 matrix/level combinations based on the 90% confidence interval of the DOM being within (-0.5, 0.5). For inclusivity, 47 of 50 strains tested showed typical colonies and confirmed positive. For exclusivity, 28 of 33 strains tested resulted in no growth or were negative, and five were positive. Inclusivity and exclusivity results were similar on the reference method agar. The method was shown to be robust to changes in sample volume, incubation temperature, and incubation time, and data are presented supporting product consistency and 18-month shelf life.

Conclusions: The CompactDry "Nissui" BC method is validated for the determination of Bacillus cereus in a variety of matrixes.

Highlights: The CompactDry "Nissui" BC method is equivalent to the ISO 7932:2004 reference method and is suitable for Performance Tested MethodsSM certification for the matrixes tested.

Background: Computationally designed molecular imprinted polymer (MIP) incorporation into electrochemical sensors has many advantages to the performance of the designed sensors. The innovative self-validated ensemble modeling (SVEM) approach is a smart machine learning-based (ML) technique that enables the design of more accurate predictive models using smaller data sets.

Objective: The novel SVEM experimental design methodology is exploited here exclusively to optimize the composition of four eco-friendly PVC membranes augmented by a computationally designed magnetic molecularly imprinted polymer to quantitatively determine drotaverine hydrochloride (DVN) in its combined dosage form and human plasma. Furthermore, the application of hybrid computational simulations such as molecular dynamics and quantum mechanical calculations (MD/QM) is a time-saving and eco-friendly provider for the tailored design of the MIP particles.

Method: Here, for the first time, the predictive power of ML is assembled with computational simulations to develop four PVC-based sensors decorated by computationally designed MIP particles using four different experimental designs known as central composite, SVEM-LASSO, SVEM-FWD, and SVEM-PFWD. The pioneering AGREE approach further assessed the greenness of the analytical methods, proving their eco-friendliness.

Results: The proposed sensors showed decent Nernstian responses toward DVN in the range of 58.60-59.09 mV/decade with a linear quantitative range of 1 × 10-7 - 1 × 10-2 M and limits of detection in the range of 9.55 × 10-8 to 7.08 × 10-8 M. Moreover, the proposed sensors showed ultimate eco-friendliness and selectivity for their target in its combined dosage form and spiked human plasma.

Conclusions: The proposed sensors were validated in accordance with International Union of Pure and Applied Chemistry (IUPAC) recommendations, proving their sensitivity and selectivity for drotaverine determination in dosage form and human plasma.

Highlights: This work presents the first ever application of both the innovative SVEM designs and MD/QM simulations in the optimization and fabrication of drotaverine-sensitive and selective MIP-decorated PVC sensors.