Abstract
This paper reports the optimum conditions for the extraction of picrosides from Picrorhiza kurroa using response surface methodology (RSM). A central composite design (CCD) was used to investigate the effects of four independent variables, namely methanol concentration (%), solid-to-liquid ratio (g/mL), incubation time (min) and temperature (°C) on the extraction yield of picroside I (P-I) and picroside II (P-II) quantified by high performance liquid chromatography with ultraviolet detection (HPLC-UV). The cumulative effects of independent variables were studied and the optimal extraction conditions were obtained as methanol concentration (0 %), solid-to-liquid ratio (1:120 g/mL), incubation time (30 min) and temperature (30 °C). The picrosides were extracted under optimum conditions to check the validity of the model. The experimental values agreed with the predicted ones, indicating suitability of the model employed and the success of RSM in optimizing the extraction conditions. The significant achievement of the present work lies in the fact that distilled water rather than methanol, a hazardous and expensive solvent, is an effective and highly selective solvent for the extraction of picrosides from P. kurroa which makes this process economical and environment friendly.
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Abbreviations
- HPLC-UV:
-
High Performance Liquid Chromatography with Ultraviolet Detection
- RSM:
-
Response Surface Methodology
- CCD:
-
Central Composite Design
- P-I:
-
Picroside-I
- P-II:
-
Picroside-II
References
Bhandari P, Kumar N, Singh B, Kaul VK (2008) Simultaneous determination of sugars and picrosides in Picrorhiza species using ultrasonic extraction and high-performance liquid chromatography with evaporating light scattering detection. J Chromatogr A 1194(2):257–261
Box GEP, Hunter JS (1957) Multi-factorial designs for exploring response surfaces. Ann Math Stat 28:195–241
Box GE, Wilson KG (1951) On the experimental attainment of optimum conditions. J R Stat Soc Ser A Stat Soc 13:1–45
Cacace JE, Mazza G (2003) Optimization of extraction of anthocyanins from black currants with aqueous ethanol. J Food Sci 68:240–248
Chauhan B, Gupta R (2004) Application of statistical experimental design for optimization of alkaline protease production from Bacillus sp. RGR-14. Process Biochem 39:2115–2122
Dorsch W, Stuppher H, Wagner H, Gropp M, Demolin S, Ring J (1991) Antiasthmatic effect of Picrorhiza kurrooa. Androsin prevents allergen and PAV induced bronchial obstruction in guinea pig. Int Arch All Appl Immunol 95:128–133
Du RO (2003) Biological statistics, Bei**g Higher Education Process. pp 119–121
Dwivedi Y, Rastogi R, Mehrotra R, Garg NK, Dhawan BN (1993) Picroliv protects against aflatoxin B1 acute hepatotoxicity in rats. Pharmacol Res 27:189–199
Joy KL, Kuttan R (1995) Anti-oxidant activity of selected plant extract. Amala Res Bull 15:68–71
Joy KL, Rajeshkumar NV, Kuttan G, Kuttan R (2000) Effect of Picrorrhiza kurroa extract on transplanted tumours and chemical carcinogenesis in mice. J Ethnopharmacol 71:261–266
Kawoosa T, Singh H, Kumar A, Sharma SK, Devi K, Dutt S, Vats SK, Sharma M, Ahuja PS, Kumar S (2010) Light and temperature regulated terpene biosynthesis: hepatoprotective monoterpene picroside accumulation in Picrorhiza kurrooa. Funct Integr Genomics 10:393–404
Le MH, Behera SK, Park HS (2010) Optimization of operational parameters for ethanol production from Korean food waste leachate. Int J Environ Sci Technol 7:157–164
Liu BL, Tzeng YM (1998) Optimization of growth medium for production of spores from Bacillus thuringiensis using response surface methodology. Bioprocess Eng 18:413–418
Myers RH, Montgomery DC (2002) Response surface methodology. Process and product optimization using designed experiments, 2nd edn. Wiley, New York
Nayar MP, Sastri ARK (1990) Red data plants of India. CSIR Publication, New Delhi, p 271
Pandit S, Shitiz K, Sood H, Chauhan RS (2012) Differential biosynthesis and accumulation of picrosides in an endangered medicinal herb Picrorhiza kurroa. J Plant Biochem Biotechnol 22(3):335–342
Park NY, Lee GD, Jeong YJ, Kwon JH (1998) Optimization of extraction conditions for physicochemical properties of ethanol extracts from Chrysanthemum boreale. J Korean Soc Food Sci Nutr 27:585–590
Plackett RL, Burman JP (1946) The design of optimum multifactorial experiments. Biometrika 33:305–325
Puri A, Saxena RP, Guru PYS, Kulshrestha DK, Saxena KC, Dhawan BN (1992) Immunostimulant activity of picroliv, the iridoid glycoside fraction of Picrorhiza kurrooa and its protective action against Leishmania donovani infection in hamsters. Planta Med 58:528–532
Shukla B, Visen PK, Patnaik GK, Dhawan BN (1991) Choleretic effect of Picrorhiza kurrooa. Planta Med 57:29–33
Singh H, Gahlan P, Dutt S, Ahuja PS, Kumar S (2011) Why uproot Picrorhiza kurrooa, an endangered medicinal herb? Curr Sci 100(7):1055–1059
Vohra A, Satyanarayana T (2002) Statistical optimization of medium components by response surface methodology to enhance phytase production by Pichia anomala. Process Biochem 37:999–1004
Wettasinghe M, Shahidi F (1999) Evening primrose meal: a source of natural antioxidants and scavenger of hydrogen peroxide and oxygen-derived free radicals. J Agric Food Chem 47:1801–1812
Xu Q, Shen Y, Wang H, Zhang N, Xu S, Zhang L (2013) Application of response surface methodology to optimise extraction of flavonoids from fructus sophorae. Food Chem 138:2122–2129
Acknowledgments
The authors are thankful to the Department of Biotechnology (DBT), Ministry of Science and Technology, Govt. of India for providing financial support in the form of a programme support on high value medicinal plants under Centre of Excellence.
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Supplementary figure 1 (DOCX 1483 kb)
Effect of (a) methanol concentration, (b) solid–liquid ratio, (c) incubation time and (d) temperature on the yield of Picroside I
Supplementary figure 2 (DOCX 1521 kb)
Effect of (a) methanol concentration, (b) solid–liquid ratio, (c) incubation time and (d) temperature on the yield of Picroside II
Supplementary figure 3 (DOCX 439 kb)
Response surface (3D) showing the effect of different extraction parameters (methanol concentration; solid–liquid ratio; incubation time; temperature) added on the response Picroside I
Supplementary figure 4 (DOCX 445 kb)
Response surface (3D) showing the effect of different extraction parameters (methanol concentration; solid–liquid ratio; incubation time; temperature) added on the response Picroside II
Supplementary figure 5 (DOCX 716 kb)
(A). Contour plot showing the effect of methanol concentration and incubation time on the yield of Picroside I. (B). Contour plot showing the effect of methanol concentration and incubation time on the yield of Picroside II
Supplementary figure 6 (DOCX 684 kb)
(A). Contour plot showing the effect of methanol concentration and temperature on the yield of Picroside I. (B). Contour plot showing the effect of methanol concentration and temperature on the yield of Picroside II
Supplementary figure 7 (DOCX 726 kb)
(A). Contour plot showing the effect of incubation time and temperature on the yield of Picroside I. (B). Contour plot showing the effect of incubation time and temperature on the yield of Picroside II
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Kumar, V., Kumar, V., Chauhan, R.S. et al. Cost effective quantification of picrosides in Picrorhiza kurroa by employing response surface methodology using HPLC-UV. J. Plant Biochem. Biotechnol. 24, 376–384 (2015). https://doi.org/10.1007/s13562-014-0285-3
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DOI: https://doi.org/10.1007/s13562-014-0285-3