2022
DOI: 10.1016/j.jpba.2022.114911
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A state of the art in analytical quality-by-design and perspectives in characterization of nano-enabled medicinal products

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Cited by 19 publications
(5 citation statements)
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“…[ 12–16 ] Photo stability or degradation of Lixisenatide substance was performed as of ICH Q1B procedures. [ 12–17 ]…”
Section: Methodsmentioning
confidence: 99%
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“…[ 12–16 ] Photo stability or degradation of Lixisenatide substance was performed as of ICH Q1B procedures. [ 12–17 ]…”
Section: Methodsmentioning
confidence: 99%
“…[12][13][14][15][16] Photo stability or degradation of Lixisenatide substance was performed as of ICH Q1B procedures. [12][13][14][15][16][17] To each round bottom (RB) flask, add 0.1N HCl (acid degradation), 0.1N NaOH (Alkali degradation), and 10% H 2 O 2 (oxidative degradation) separately. 10 mL stock solution of Lixisenatide was added to each RB flask and kept on reflux for 60 min at 70 °C.…”
Section: Forced Degradation Studiesmentioning
confidence: 99%
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“…Rigorous quality control guarantees the reliability, safety, and efficacy of nanomaterial-based drug delivery systems. Standardized protocols enable comparison and evaluation of different production batches, ensuring consistency and quality assurance [ 219 ]. Advanced characterization techniques provide a comprehensive understanding of the NMs' physicochemical properties and performance, facilitating optimization and further development.…”
Section: Future Prospects Of Nanomaterialsmentioning
confidence: 99%
“…The proposed guidelines entail a systematic approach for analytical method development employing quality‐by‐design (QbD) paradigms, initiated by inclusion of a set of objectives, that is, analytical target profile (ATP), and emphasizing explicit understanding of the process and quality risk assessment, popularly designating the approach as analytical QbD (AQbD; Khurana et al, 2015; Sahu et al, 2018). Initially, the highly influential method parameters, or analytical factors, are identified using risk assessment and/or experimental factor screening procedures, which tend to exert significant effect on analytical method performance (Bastogne et al, 2022; Bhutani et al, 2014; Reddy et al, 2022). This approach has been documented not only as a more robust and precise paradigm, but also as more economical in terms of financial and times resources, for analytical method development through delineation of various critical analytical attributes (CAAs) and critical process parameters (Awotwe‐Otoo et al, 2012; Beg et al, 2016; Sandhu et al, 2016).…”
Section: Introductionmentioning
confidence: 99%