Literature DB >> 16736555

Investigation of red natural dyes used in historical objects by HPLC-DAD-MS.

Ioannis Karapanagiotis1, Yannis Chryssoulakis.   

Abstract

High performance liquid chromatography (HPLC) with UV-Vis Diode Array Detection (DAD) and electrospray mass spectrometric (ESI-MS) method was utilized for the identification of coloring components of madder, Armenian and Mexican cochineal, lac dye, brazilwood, safflower and dragon blood--probably the most important red natural dyestuffs found in objects of the cultural heritage. UV-Vis detection limits in the range of 0.2-0.6 ng for carminic acid, alizarin and purpurin were achieved using a gradient elution of H2O-0.01% TFA and CH3CN-0.01% TFA. ESI mass spectrometer was also used, as a supportive detection method to the standard DAD, for further analysis of the tested materials, with the ability to analyze dyestuffs as small as one milligram. The presence of madder was revealed in two historical (Hellenistic and Roman period) samples, found in the Mediterranean area, by identifying purpurin in both of them. Munjistin was also identified in one of the samples (Hellenistic period) while alizarin was not detected, raising questions regarding the exact madder type, utilized in the historical samples.

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Year:  2006        PMID: 16736555     DOI: 10.1002/adic.200690008

Source DB:  PubMed          Journal:  Ann Chim        ISSN: 0003-4592


  4 in total

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Authors:  Ling-Han Jia; Yi Li; Yu-Zhen Li
Journal:  J Pharm Anal       Date:  2012-01-30

2.  Rapid determination of volatile constituents in safflower from Xinjiang and Henan by ultrasonic-assisted solvent extraction and GC-MS.

Authors:  Ling-Han Jia; Yi Liu; Yu-Zhen Li
Journal:  J Pharm Anal       Date:  2011-07-22

3.  Current literature in mass spectrometry.

Authors: 
Journal:  J Mass Spectrom       Date:  2007-01       Impact factor: 1.982

4.  Lac water extract inhibits IFN-γ signaling through JAK2-STAT1-IRF1 axis in human melanoma.

Authors:  Luhui Li; Satoru Yokoyama; Na Han; Yoshihiro Hayakawa
Journal:  RSC Adv       Date:  2018-06-13       Impact factor: 4.036

  4 in total

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