RT Journal
T1 PHOTOMETRY-BASED PREDICTION MODEL FOR THE CONTENT OF OLEANOLIC ACID IN PERIPLOCAFORRESTIISCHLTR.
A1 Y. Long
A1 2
A1 X.Yi
A1 W. Yang1
JF Journal of Animal and Plant Sciences
JO JAPS
SN 1018-7081
VO 30
IS 3
SP 649
OP 654
YR 2020
FD 2020/03/25
DO DOI https://doi.org/10.36899/JAPS.2020.3.0077
AB <p>To realize rapid, low-cost identification and ensure quality control of&nbsp;<em>Periplocaforrestii&nbsp;</em>Schltr., a Miao ethnomedicine, a prediction model for oleanolic acid was built based on photometry. The total saponin content and oleanolic acid content in<em>Periplocaforrestii</em>Schltr. were analyzed by spectrophotometry and HPLC, respectively, and good linearity was observed for both of these methods. The Pearson correlation coefficient of the two data groups was 0.99, indicating a significant positive correlation. Thus, a prediction curve for the content of oleanolic acid in&nbsp;<em>Periplocaforrestii</em>Schltr. was constructed by fitting the relationship between these two indicators to a parabolic curve (R2 = 0.987). This model was successfully applied to predict the content of oleanolic acid in two samples, with a discrepancy rate of &lt;3% between of the predicted values and the experimental values. This method exhibited an excellent goodness of fit and showed high precision for determining the content of oleanolic acid in&nbsp;<em>Periplocaforrestii&nbsp;</em>Schltr. samples. As the total saponin content can be determined using simple photometric methods, this prediction model allows rapid and convenient determination of oleanolic acid in<em>Periplocaforrestii</em>Schltr. This approach may be useful for identifying natural medicines in ethnic areas.</p>
K1 Periplocaforrestii Schltr.; Photometry; Saponin; Oleanolic acid; Content prediction; Quality control
PB Pakistan Agricultural Scientists Forum
LK https://thejaps.org.pk/AbstractView.aspx?mid=AGECO-19-0013