Skip to main content
SpringerLink
Log in

Regression Analysis in Development of a Method for Isolation and Quantitative Determination of Water-Soluble Polysaccharides from Common Plantain Leaves

  • Published:
Pharmaceutical Chemistry Journal Aims and scope

This study was aimed at selecting the optimum parameters of ultrasonic extraction of water-soluble polysaccharides from leaves of common plantain (Plantago major L.) based on regression analysis. The adequacy of the model was confirmed by testing hypotheses against Pearson’s χ2 criterion. The correlation coefficient derived from values of the regression coefficient and mean-square deviation was used to determine the tightness of the overall relationship between the initial and obtained data. The most important conditions for extracting P. major leaves to obtain the most stable performance were extraction temperature, 80°C; extraction multiplicity, 3; ultrasound frequency, 35 kHz; extraction time, 15 min; raw material to extractant ratio, 1 g per 15 mL; and degree of raw material comminution, varying from 0.5 to 1 mm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.

Similar content being viewed by others

References

  1. V. A. Kurkin, Pharmacognosy [in Russian], SamGMU, Samara (2004), pp. 473 – 476.

  2. N. A. Velikanova, S. P. Gaponov, and A. I. Slivkin, Ecological Evaluation of Medicinal Plant Raw Material in Urban Voronezh [in Russian], Lambert Academic Publishing, (2013).

  3. D. N. Olennikov, A. B. Samuelsen, and L. M. Tankhaeva, Khim. Rastit. Syr’ya, No. 2, 37 – 50 (2007).

  4. N. A. D’yakova, I. A. Samylina, I. A. Slivkin, et al., Vestn. BGU, Ser.: Khim., Biol. Farm., No. 2, 106 – 111 (2015).

  5. L. M. Tankhaeva and D. N. Olennikov, Khim. Rastit. Syr’ya, No. 2, 85 – 89 (2010).

  6. I. A. Samylina, A. A. Sorokina, and N. V. Pyatigorskaya, Farmateka, No. 2, 100 – 101 (2010).

  7. G. I. Molchanov, A. A. Molchanov, and L. M. Kubalova, Pharmaceutical Technologies: Modern Electrophysical Biotechnologies in Pharmacy [in Russian], Al’fa-M, Moscow (2011), pp. 201 – 216.

  8. N. A. D’yakova, I. A. Samylina, and I. A. Slivkin, Khim.-farm. Zh., 52(4), 40 – 43 (2018); Pharm. Chem. J., 52(4), 343 – 346 (2018).

  9. N. A. D’yakova, Khim. Rastit. Syr’ya, No. 4, 81 – 87 (2018).

  10. S. S. Bondarchuk and I. S. Bondarchuk, Statistical Processing of Experimental Data in MS Excel [in Russian], TGPU, Tomsk (2018).

  11. O. Yu. Rebrova, Statistical Analysis of Medical Data. Use of STATISTICA Applied Program Suite [in Russian], MediaSfera, Moscow (2000).

Download references

Author information

Authors and Affiliations

  1. Voronezh State University, 1 Universitetskaya Sq., Voronezh, 394006, Russia

    N. A. Dyakova

Authors
  1. N. A. Dyakova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. A. Dyakova.

Additional information

Translated from Khimiko-Farmatsevticheskii Zhurnal, Vol. 56, No. 4, pp. 23 – 27, April, 2022.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dyakova, N.A. Regression Analysis in Development of a Method for Isolation and Quantitative Determination of Water-Soluble Polysaccharides from Common Plantain Leaves. Pharm Chem J 56, 497–502 (2022). https://doi.org/10.1007/s11094-022-02665-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11094-022-02665-4

Keywords

Search

Navigation