Application of multivariate curve resolution alternating least square (MCR-ALS) to the study of trikarshika formulation
Objective: Multivariate curve resolution method (MCR) is one of the tools designated to unravel the pure component mathematically. The information was extracted through alternative least square algorithm from Trikarshika (TK) formulation. This paper presents the importance of MCR technique in the computation of mathematical component in the form of extract (TKChurna) itself.
Methods: The methanolic macerated extracts of the drugs i.e. Zingiber officinale Rose., Aconitum heterophyllum Wall. and Cyperus rotundas Linn, processed with standard operating procedure and prepared twenty-five mixtures to blend in three concentration levels among the individual simultaneously. The finished mixture annotated with code numbers and considered as an individual sample. The samples were subjected to ultra violet â€“visible (UV-VIS) UV-VIS spectral detection from 220 to 780 nm at the interval of 10 nm. The data were analyses with the help of The Unscrambler software.
Results: Seven components were computed from TK mixture extracts using concentration as a factor. The correlation between estimated and reference concentration for the Zingiber officinale Rose. was 0.91, this indicates good predictability of Zingiber officinale Rose in comparison to other two ingredients. Several spectral overlap existed only generated the use of absorbance resolved spectra that open up the scope of mixture analysis based on experimental data only.
Conclusion: MCR technique may be a good tool that can be adopted for the discrimination of variables like exposes of discrete light, seasonal differences in the collection, and differences in harvesting schedules. The discrimination of MCR technique is based on ALS algorithm.
Keywords: Trikarshika, Multivariate curve resolution, UV-Vis spectroscopy, Unscrambler Camo Software
2. Federation of Analytical Chemistry and Spectroscopy Society. Multivariate Curve Resolution: The Sleeping Giant of Chemometrics, Proceedings of 30th FACSS, Ft. Lauderdale, FL; 2003.
3. Anna de Juan, Anna Izquierdo-Ridorsa, Roma Tauler, Gemma Fonrodona, Enric Casassa. A soft modeling approach to interpreting thermodynamic and conformational transitions of polynucleotides. Biophys J 1997;73:2937â€“48.
4. R Gargallo, R Tauler, A Izquierdo-Ridorsa. Application of a multivariate curve resolution procedure to the analysis of second-order melting data of synthetic and natural polynucleotides. Anal Chem 1997;69:1785â€“92.
5. Susana Navea, Anna de Juan, RomÃ Tauler. Three-way data analysis is applied to multi-spectroscopic monitoring of protein folding. Anal Chem Acta 2001;446:187â€“97.
6. Stefan Matile, Nina Berova, Koji Nakanishi, Jorgfleischhauer, Robert W. Woody structural studies by exciton-coupled circular dichroism over a large distance: â€‰porphyrin derivatives of steroids, dimeric steroids, and brevetoxin B. J Am Chem Soc 1996;118:5198â€“206.
7. Greenfield NJ. Methods to estimate the conformation of proteins and polypeptides from circular dichroism data. Anal Biochem 1996;235:1â€“10.
8. Gavin A Manderson, Lawrence K Creamer, Michael J Hardman. Effect of heat treatment on the circular dichroism spectra of bovine beta-lactoglobulin A, B and C. J Agric Food Chem 1999;47:4557â€“67.
9. http://www.camo.com/downloads/multivariate-curve-resolution-to-the-photodegradation-study-of-melatonin.pdf. [Last accessed on 10 Nov 2015].
10. Yi-ZengLianga, PeishanXieb, Kelvin Chan. Quality control of herbal medicines. J Chromatogr B: Biomed Sci Appl 2004; 812:53-70.
11. PV Sharma. Dravyaguna Vijnana 1(Basic concept). 1st ed. Chaukhambha Bharati Academy Publisher; 2006. p. 127.
12. Gargallo R, Vives M, Tauler R, Eritija R. Protonation studies and multivariate curve resolution on oligodeoxynucleotides carrying the mutagenic base 2-aminopurine. Biophys J 2001;81:2886-96.
13. Malinowski ER, Howery DE. Factor analysis in chemistry. 2nd Edn. New York: Wiley Publication; 1991.
14. Absorption spectroscopy: Kenneth A, Connors. A Textbook of Pharmaceutical of Pharmaceutical Analysis. 3rd edition. India: Replica Press; 2004. p. 173-206.
15. Jayantakumarmaji V, J Shukla. Pharmacognosy and phytochemical study of trikarshika churna. A popular polyherbal antioxidant. Int Res J Pharm 2012,3:183-6.