2020
DOI: 10.1002/sscp.202000023
|View full text |Cite
|
Sign up to set email alerts
|

Quality by design with design of experiments approach for the development of a stability‐indicating LC method for benzonatate and its impurities in liquid oral dosage form

Abstract: A quality by design based simple and stability‐indicating liquid chromatography method has been developed successfully for benzonatate and its related impurities. The optimized high‐performance liquid chromatography method can be used to detect and quantify the benzonatate impurities in its finished liquid oral dosage forms. For the quantification of impurities demands more comprehensive way of analytical method development. Quality by design approach allows the assessment of various analytical parameters and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
8

Relationship

5
3

Authors

Journals

citations
Cited by 16 publications
(9 citation statements)
references
References 19 publications
0
9
0
Order By: Relevance
“…The current DoE section, fraction factorial design was used for linear and interaction models. Compared to generic analytical method development, varying one factor at a time, application of DoE where all the factors are altered simultaneously to accelerate the risk assessment with greater influence [ 30 , 31 ]. By considering all these response factors (Table 3 ), the statistical experimental design chosen was fractional factorial design (FFD), with 15 experiments at two levels and three central points.…”
Section: Resultsmentioning
confidence: 99%
“…The current DoE section, fraction factorial design was used for linear and interaction models. Compared to generic analytical method development, varying one factor at a time, application of DoE where all the factors are altered simultaneously to accelerate the risk assessment with greater influence [ 30 , 31 ]. By considering all these response factors (Table 3 ), the statistical experimental design chosen was fractional factorial design (FFD), with 15 experiments at two levels and three central points.…”
Section: Resultsmentioning
confidence: 99%
“…However, there is no similar reference stability–indicating method for the corresponding dosage form testing. In a recent trend, the QbD (Ashok, Dongala, & Katakam, 2020; Katakam & Dongala, 2020a, 2020b; Katakam, Dongala, & Ettaboina, 2020; Panda, Bera, & Pradhan, 2019) approach was regulated for use in the pharmaceutical industry, with critical process parameters (CPPs) and critical quality attributes (CQAs) established for assessment of risk and design space for (method) operating conditions. A scientific way of explaining the design of experiments (DoE) approach involves performing a series of trails (usually 18) based on the fractional factorial design to evaluate the rapid and straightforward stability‐indicating UPLC method using ultraviolet detection prior to performing method validation studies.…”
Section: Introductionmentioning
confidence: 99%
“…Hence this analytical method has vast applicability in the pharmaceutical industry for quality control testing of alectinib and its related substances. The method would be extremely helpful to the pharmaceutical industries and academic scientists to identify any of the stated degradants in their drug substance [17–20].…”
Section: Introductionmentioning
confidence: 99%