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Quantitative estimation of β-sitosterol and Diosgenin in different cytotypes of Tribulus terrestris and Plantago depressa by using HPTLC Technique

Author: R.C. Gupta, V. Singh and K. Kaur

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Abstract

Phytosterols are the steroids found in plants which are similar to cholesterol. Present study includes the quantitative estimation of two important phytosterols i.e. β-sitosterol and Diosgenin in different cytotypes of two highly important medicinal plants (Tribulus terrestris and Plantago depressa) by using HPTLC technique. The study depicts that in case of the fruits of T. terrestris, β-sitosterol was found to be maximum in tetraploid cytotype (2n=24) followed by hexaploid cytotype (2n=36) and octoploid cytotype (2n=48) whereas Diosgenin was maximum in hexaploid cytotype and least in tetraploid cytotype. In inflorescence of P. depressa, β-sitosterol was maximum in hexaploid cytotype (2n=36) followed by diploid cytotype (2n=12) and tetraploid cytotype (2n=24).

Keywords

β-sitosterol; Diosgenin; Tribulus terrestris; Plantago depressa; Cytotypes; HPTLC.

Conclusion

Phytosterols are the steroids found in plants which are similar to cholesterol. Present study includes the quantitative estimation of two important phytosterols i.e. β-sitosterol and Diosgenin in different cytotypes of two highly important medicinal plants (Tribulus terrestris and Plantago depressa) by using HPTLC technique. The study depicts that in case of the fruits of T. terrestris, β-sitosterol was found to be maximum in tetraploid cytotype (2n=24) followed by hexaploid cytotype (2n=36) and octoploid cytotype (2n=48) whereas Diosgenin was maximum in hexaploid cytotype and least in tetraploid cytotype. In inflorescence of P. depressa, β-sitosterol was maximum in hexaploid cytotype (2n=36) followed by diploid cytotype (2n=12) and tetraploid cytotype (2n=24).

References

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How to cite this article

R.C. Gupta, V. Singh, and K. Kaur (2018). Quantitative Estimation of β-sitosterol and Diosgenin in different cytotypes of Tribulus terrestris and Plantago depressa by using HPTLC Technique. Biological Forum – An International Journal 10(2): 01-05(2018)