Quality assessment and RP-HPLC method development for estimation of curcuminoids in Curcuma longa: A Quality by Design approach

• Published in: Journal of liquid chromatography & related technologies Vol. 44; no. 1-2; pp. 95 - 102
• Main Authors: Parab Gaonkar, Vishakha, Hullatti, Kirankumar
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 20.01.2021; Taylor & Francis Ltd
• Subjects: Acetonitrile; Aquatic plants; Contaminants; Curcuma longa; Curcumin; curcuminoids; Dependent variables; Factorial design; Flow velocity; High performance liquid chromatography; Independent variables; Liquid chromatography; Optimization; Phase ratio; Quality assessment; quality by design; Quality control; Rhizomes; RP-HPLC; Tailings
• ISSN: 1082-6076; 1520-572X
• DOI: 10.1080/10826076.2020.1848862

The present work aims at developing a QbD assisted RP-HPLC method for the estimation of individual curcuminoids in Curcuma longa rhizomes along with its quality assessment. The quality of crude C. longa sample was evaluated with respect to physicochemical, phytochemical and toxic contaminant analysis. The ATP and CQA's were identified followed by the optimization of the method by employing 2 2 factorial design. The concentration of orthophosphoric acid in aqueous phase (X 1 ) and mobile phase ratio (X 2 ) were selected as independent variable whereas, Tailing factor CUR (R 1 ), peak width CUR (R 2 ), Tailing factor DMC (R 3 ), peak width DMC (R 4 ), Tailing factor BDC (R 5 ), and peak width BDC (R 6 ) selected as dependent variables. The optimized chromatographic conditions were identified with mobile phase, Acetonitrile and Water (0.02%OPA) in the ratio of 55:44 with flow rate of 1 mL/min and detection wavelength of 425 nm. Further, the amount of curcumin, demethoxycurcumin and bis-demethoxycurcumin in crude C. longa sample was found to be 13.86 ± 0.28, 10.98 ± 0.23 and 9.32 ± 0.20 mg/g respectively. From the results obtained it can be concluded that the application of the QbD approach ensured the development of a more precise method that can engender consistent, reliable, and quality data throughout the process and also save time.