Literature DB >> 23245264

Infrared macro-fingerprint analysis-through-separation for holographic chemical characterization of herbal medicine.

Changhua Xu1, Yang Wang, Jianbo Chen, Qun Zhou, Ping Wang, Yan Yang, Suqin Sun.   

Abstract

Although herbal medicine (HM) behaves as a complex system having high-potential for treating chronic/life-threatening diseases, compatible characterization metrics with hierarchical approaches to integrate molecular-level information into the whole system are lacking. Herein, we report a high-throughput methodology (holographic infrared (IR) spectroscopy) harmonizing with the character of HM, providing hierarchical infrared fingerprints (entirety, parts and single ingredients), and working as a "GPS" to navigate a comprehensive chemical characterization of HM circularly from system to molecular level by step-by-step HM analysis-through-separation of IR spectra indicative and vice versa by reconstitution-through-combination of adducting spectrum without a complete understanding of the chemical constituents, and demonstrate holographic chemical charaterization of a Chinese herb Danshen. Global chemical fingerprints of species at each hierarchical level and ingredient profile variations among multilevel species of Danshen are integratively interpreted with fast estimation of their relative contents of active compounds. Finally, integral dynamic information of Danshen separation process is disclosed straightforward by spectral retrieving technique.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23245264     DOI: 10.1016/j.jpba.2012.10.007

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  1 in total

1.  Graphene nanoplatelets based matrix solid-phase dispersion microextraction for phenolic acids by ultrahigh performance liquid chromatography with electrochemical detection.

Authors:  Li-Qing Peng; Ling Yi; Qiu-Cheng Yang; Jun Cao; Li-Jing Du; Qi-Dong Zhang
Journal:  Sci Rep       Date:  2017-08-08       Impact factor: 4.379

  1 in total

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