Systemic Optimization and Validation of RP-HPLC Method for the Estimation
of Ritonavir from Hybrid Polymeric Nanoparticles in Rat Plasma

Vijayaraj, S.; Palei, Narahari N.; Vanangamudi, Murugesan; Madheswaragupta, Prathap

doi:10.2174/1573412918666220128092959

Cited by 3 publications

(2 citation statements)

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“…As a result, three different concentrations of rutin were used to spike it. Throughout the investigations, drug concentrations were measured using the above‐mentioned biological matrix throughout the development of bioanalytical methods [31]. The result was calculated using Equation ()

\begin{equation}{\rm{Matrix Effect}} = {\rm{A/B}} \times {\rm{100}}\end{equation}

where A is the concentration of rutin in the spiked plasma and B is the concentration of rutin in the mobile phase.…”

Section: Methodsmentioning

confidence: 99%

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Estimation of rutin‐loaded chitosan sodium alginate nanoparticles in rat plasma using a chemometrics‐assisted bioanalytical high‐performance liquid chromatography method

Palei

Vijayaraj²,

Shanmugam

et al. 2023

Separation Science Plus

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Rutin, a flavonoid glycoside is mostly made up of phenolic compounds and is involved in a variety of biological processes. Rutin-loaded chitosan-alginate nanoparticles were prepared for enhancing the site specificity and bioavailability. The main focus of the current research work was to develop and validate a simple, accurate, and robust bioanalytical reverse-phase high-performance liquid chromatography method using the Design of Experiments principles for the estimation of rutin-loaded chitosan-alginate nanoparticles in plasma. A mixture of methanol and phosphate buffer in the ratio of 45:55 v/v was used as the mobile phase. The pH of the mobile phase is adjusted to 3.2 with 80% orthophosphoric acid; the flow rate was optimized to 1.0 ml/min and the ultraviolet absorption wavelength at 254 nm. Critical analytical attributes were screened with Taguchi orthogonal array model design. To develop and analyze a "Design Space," Box-Behnken three-level, three-factorial design in the design of experiment was employed. Analysis of variance, contour plots, and three-dimensional surface response plots were used to statistically assess this design, and the model was shown to be statistically significant. The devised approach was validated according to the recommendations of the International Council for Harmonization (Q2 R1). The linearity of the developed method showed excellent in the range of 100 to 900 ng/ml with good regression (R 2 > 0.998), the limit of quantitation (30 ng/ml), and the limit of detection (10 ng/ml). The validation findings of the parameters were examined and found to be within acceptable limits. The study findings stated that the Quality by Design-driven bioanalytical approach is applicable for the in vivo and in vitro quantification of rutin derived from bulk and rutin-loaded chitosan-alginate nanoparticles formation.

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\begin{equation}{\rm{Matrix Effect}} = {\rm{A/B}} \times {\rm{100}}\end{equation}

where A is the concentration of rutin in the spiked plasma and B is the concentration of rutin in the mobile phase.…”

Section: Methodsmentioning

confidence: 99%

“…As a result, three different concentrations of rutin were used to spike it. Throughout the investigations, drug concentrations were measured using the above-mentioned biological matrix throughout the development of bioanalytical methods [31]. The result was calculated using Equation ( 5)…”

Section: Effect Of Biological Matrixmentioning

confidence: 99%

Estimation of rutin‐loaded chitosan sodium alginate nanoparticles in rat plasma using a chemometrics‐assisted bioanalytical high‐performance liquid chromatography method

Palei

Vijayaraj²,

Shanmugam

et al. 2023

Separation Science Plus

Self Cite

View full text Add to dashboard Cite

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Emerging Trends in Hybrid Nanoparticles: Revolutionary Advances and Promising Biomedical Applications

Bhardwaj,

Khute,

Sahu

et al. 2024

CDM

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Modern nanostructures must fulfill a wide range of functions to be valuable, leading to the combination of various nano-objects into hierarchical assemblies. Hybrid Nanoparticles (HNPs), comprised of multiple types of nanoparticles, are emerging as nanoscale structures with versatile applications. HNPs offer enhanced medical benefits compared to basic combinations of distinct components. They address the limitations of traditional nanoparticle delivery systems, such as poor water solubility, nonspecific targeting, and suboptimal therapeutic outcomes. HNPs also facilitate the transition from anatomical to molecular imaging in lung cancer diagnosis, ensuring precision. In clinical settings, the selection of nanoplatforms with superior reproducibility, cost-effectiveness, easy preparation, and advanced functional and structural characteristics is paramount. This study aims toextensively examine hybrid nanoparticles, focusing on their classification, drug delivery mechanisms, properties of hybrid inorganic nanoparticles, advancements in hybrid nanoparticle technology, and their biomedical applications, particularly emphasizing the utilization of smart hybrid nanoparticles. PHNPs enable the delivery of numerous anticancer, anti-leishmanial, and antifungal drugs, enhancing cellular absorption, bioavailability, and targeted drug delivery while reducing toxic side effects.

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Development and validation of a new RP-UPLC method for the simultaneous estimation of nirmatrelvir and ritonavir in bulk and copacked tablet dosage forms

Pallavi,

Sowjanya

2023

RJPT

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The objective of this work is to develop a simple, accurate, precise and validated RP-UPLC method for effective simultaneous determination of nirmatrelvir and ritonavir in bulk and copacked tablet formulation. Separation of drugs was optimized after several trials by changing mobile phase composition, stationary phase, flow rate and column temperature. Finally the separation of drugs was achieved on a phenyl column (100 x 2.1 mm, 1.7 µ) using isocratic elution with a mobile phase of acetonitrile and triethyl amine (30:70 v/v). A flow rate of 0.5 mL/min. and a detector wavelength of 267 nm utilizing the PDA detector were given in the instrumental settings. Validation of the proposed method was carried out according to the International Council for Harmonization (ICH) guidelines. The system suitability parameters were within the limits, the retention time (Rt) for nirmatrelvir and ritonavir was achieved at 1.262 min. and 1.873 min. respectively over a total runtime of five minutes. The method showed linearity between the concentration range of 37.5-225 µg/mL for nirmatrelvir (R² = 0.99956) and 25-150 µg/mL of ritonavir (R² = 0.9998). The percentage recovery results by standard addition method for nirmatrelvir and ritonavir were found to be in the range of 99.3 % - 100.3 %. The proposed method is specific, accurate and robust. During stability tests, it can be used for routine analysis of the selected drugs.

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Systemic Optimization and Validation of RP-HPLC Method for the Estimation of Ritonavir from Hybrid Polymeric Nanoparticles in Rat Plasma

Cited by 3 publications

References 0 publications

Estimation of rutin‐loaded chitosan sodium alginate nanoparticles in rat plasma using a chemometrics‐assisted bioanalytical high‐performance liquid chromatography method

Estimation of rutin‐loaded chitosan sodium alginate nanoparticles in rat plasma using a chemometrics‐assisted bioanalytical high‐performance liquid chromatography method

Emerging Trends in Hybrid Nanoparticles: Revolutionary Advances and Promising Biomedical Applications

Development and validation of a new RP-UPLC method for the simultaneous estimation of nirmatrelvir and ritonavir in bulk and copacked tablet dosage forms

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