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. 2022 Aug 18;27(16):5278.
doi: 10.3390/molecules27165278.

Multiple Fingerprints and Spectrum-Effect Relationship of Polysaccharides from Saposhnikoviae Radix

Affiliations

Multiple Fingerprints and Spectrum-Effect Relationship of Polysaccharides from Saposhnikoviae Radix

Mengqi Yu et al. Molecules. .

Abstract

PMP-HPLC, FT-IR, and HPSEC fingerprints of 10 batches of polysaccharides from Saposhnikoviae Radix with different production areas and harvest times have been prepared, and the chemometrics analysis was performed. The anti-allergic activity of 10 batches of Saposhnikoviae Radix polysaccharide (SP) was evaluated, and the spectrum-effect relationship of the 10 batches of SP was analyzed by gray correlation degree with the chromatographic fingerprint as the independent variable. The results showed that the PMP-HPLC, HPSEC, and FT-IR fingerprints of 10 batches of SP had a high similarity. Two monosaccharides (rhamnose and galactose), the polysaccharide fragment Mn = 8.67 × 106~9.56 × 106 Da, and the FT-IR absorption peak of 892 cm-1 can be used as the quality control markers of SPs. All 10 batches of SP could significantly inhibit the release of β-HEX in RBL-231 cells, and the polysaccharides harvested from Inner Mongolia in the winter had the best anti-allergic activity. The spectrum-effect relationship model showed that the monosaccharide composition and molecular weight were related to the anti-allergic activity of the SPs. Multiple fingerprints combined with spectrum-effect relationship analysis can evaluate and control the quality of SPs from the aspects of overall quality and efficacy, which has more application value.

Keywords: Saposhnikoviae Radix polysaccharide; anti-allergic activity; multiple fingerprints; quality control; spectrum-effect relationship.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The PMP-HPLC fingerprints. (A) the PMP-HPLC fingerprints of different SPs (B) the PMP-HPLC standard referential fingerprint of SPs.
Figure 2
Figure 2
The dengrogram (A), the PCA score plot (B), and the loading plot (C) of PMP-HPLC fingerprints of different SPs. The PLS-DA score plot (D), loading plot (E), and the VIP predicted value plot (F) of PMP-HPLC fingerprints of different SPs.
Figure 3
Figure 3
The HPSEC fingerprints. (A) the HPSEC fingerprints of different SPs (B) the HPSEC standard referential fingerprint of SPs.
Figure 4
Figure 4
The dengrogram (A), the PCA score plot (B) and loading plot (C) of HPSEC fingerprints of different SPs. The PLS-DA score plot (D), loading plot (E) and the VIP predicted value plot (F) of HPSEC fingerprints of different SPs.
Figure 5
Figure 5
The FT-IR fingerprints. (A) the FT-IR fingerprints of different SPs (B) the FT-IR standard referential fingerprint of SPs.
Figure 6
Figure 6
The dengrogram (A), the PCA score plot (B) and loading plot (C) of FT-IR fingerprints of different SPs. The PLS-DA score plot (D), loading plot (E), and the VIP predicted value plot (F) of FT-IR fingerprints of different SPs.
Figure 7
Figure 7
The effect of SPs on cell viability (A). The Inhibitory effect of different concentrations (B) and batches (C) of SPs on β-HEX release, the inhibition rate of the control group was zero.

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