JOURNAL OF TEXTILE RESEARCH ›› 2014, Vol. 35 ›› Issue (6): 85-0.

Previous Articles     Next Articles

Identification and light-fastness evaluation of vegetable dyes using miniature spectrometer with fiber optics

  

  • Received:2013-06-18 Revised:2013-08-30 Online:2014-06-15 Published:2014-06-09
  • Contact: Jian LIU E-mail:koyojohnson@126.com

Abstract: All of the historical silk textiles were dyed with natural materials, most of which were vegetable dyestuffs. In present studies, seven vegetable dyes were identified by non-destructive method-miniature spectrometer with fiber optics. This method was successfully applied to acquiring the ultraviolet-visible absorption spectra of madder, Amur cork, pagoda tree, sappanwood etc. In addition, miniature spectrometer with fiber optics was also used for light-fastness evaluation of vegetable dyes. Seven samples have been exposed in Xenon lamp at4.32×104w/m2, and the results indicated that the light-fastness of Amur cork was lowest, whereas the light-fastness of indigo was much better. Thus, miniature spectrometer would serve as a non-destructive technique for quick analysis of natural dyestuffs; also, this method can help to slow down the effect of light-ageing for the historical silk textiles during a period of exhibition and conservation through establishing suitable light environment.

Key words: miniature spectrometer with fiber optics, vegetable dye, identification, light-fastness

[1] . Single component textile identification based on continuous projection algorithm and least squares support vector machine [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(08): 46-51.
[2] . Noise source identification of carpet tufting machine based on empirical mode decomposition and energy characteristics [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(08): 138-143.
[3] . Model establishment and validation of waste polyester fiber products based on near infrared quantitative analysis [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(07): 63-68.
[4] . Discrimination of goose down and duck down based on electronic-nose [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(04): 19-23.
[5] . Iedntification of cashmere and wool based on convolutional neuron networks and deep learning theory [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(12): 150-156.
[6] . Level set of central axis method of cashmere and wool diameter [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(09): 14-18.
[7] . Rapid identification method of cashmere and wool based on bag-of-visual-word [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 130-134.
[8] . Discoloration property for pH-sensitivity of fabric dyed by turmeric [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(04): 80-84.
[9] . Chemical compositions and ultraviolet resistance of vegetable dyes extracted from Scutellaria baicalensis [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(4): 86-0.
[10] . Image distortion correction on structure identification [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(3): 150-0.
[11] . Vegetable dyes: molecular status vs dyeing ability [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(9): 84-0.
[12] .  Constitution and correlation of scale pattern gene codes for identification of cashmere [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(4): 1-5.
[13] JIN Mei-Ju, RUAN Yong, LI Xiang, SHI Dong-Liang, YE Ling. Identification of Cashmere and Wool by Genetic Technology [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(8): 19-23.
[14] . Study of fabric pattern recognition based on olfactory neural network [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(4): 52-56.
[15] XU Mingshuang;LI Qingshan;ZHOU Guangju. Analysis and identification of bamboo-charcoal viscose fiber [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(2): 26-29.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!