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Issue 30, 2018, Issue in Progress
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Fingerprint profiling of polysaccharides from different parts of lotus root varieties

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Abstract

Thirty-nine polysaccharides isolated from different parts of 13 lotus root varieties were characterized with fingerprint and chemometrics analyses to explore their similarity and diversity. The physicochemical features of lotus root polysaccharides (LRPs) were found to be the following: LRPs contained mainly polysaccharides (5.94 kDa) and polysaccharide-protein complexes (11.57 kDa and 5.30 kDa); their carbohydrates were composed of mannose, rhamnose, glucuronic acid, galacturonic acid, glucose, galactose and arabinose approximately in the molar ratio of 0.19 : 0.14 : 0.08 : 0.17 : 6.49 : 1.00 : 0.16; and node LRPs possessed more binding proteins and uronic acids than both flesh and peel LRPs. Their fingerprints based on Fourier-transform infrared spectroscopy, pre-column derivatization high-performance liquid chromatography and high performance size-exclusion chromatography all exhibited relatively high similarities, contributing to the common figerprint models which could be utilized as references for the identification of LPRs. In addition, the fingerprint characteristics associated with the between-group variability of LRPs in the score plots derived from multivariate analytical models might indicate which variety or part of lotus root they were isolated from. Therefore, multi-fingerprinting techniques have the potential to be applied to the identification and quality control of LRPs.

Graphical abstract: Fingerprint profiling of polysaccharides from different parts of lotus root varieties

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Publication details

The article was received on 04 Feb 2018, accepted on 29 Apr 2018 and first published on 04 May 2018


Article type: Paper
DOI: 10.1039/C8RA01104D
Citation: RSC Adv., 2018,8, 16574-16584
  • Open access: Creative Commons BY-NC license
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    Fingerprint profiling of polysaccharides from different parts of lotus root varieties

    H. Wang, Y. Yi, J. Sun, O. Lamikanra and T. Min, RSC Adv., 2018, 8, 16574
    DOI: 10.1039/C8RA01104D

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