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Optimization of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy

Overview of attention for article published in Analytical & Bioanalytical Chemistry, January 2017
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Title
Optimization of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy
Published in
Analytical & Bioanalytical Chemistry, January 2017
DOI 10.1007/s00216-016-0169-6
Pubmed ID
Authors

Iker Marcaida, Maite Maguregui, Héctor Morillas, Cristina García-Florentino, Valentina Pintus, Tomás Aguayo, Marcelo Campos-Vallette, Juan Manuel Madariaga

Abstract

The study and characterization of old artifacts such as pigments requires the use of techniques that need a small amount of sample to perform the analysis because of the high value of these samples. In recent years, organic molecules such as anthraquinone dyes have been identified by surface-enhanced Raman spectroscopy (SERS). However, different sample treatments must be applied to isolate the organic dye from the mordant, which produces great fluorescence in the Raman measurements. In this work, optimization of sample treatment for the SERS analysis of anthraquinone dyes was performed. Sample mass, the organic solvent, and its volume were optimized and different slide materials and excitation lasers were compared to choose the best conditions for the identification of the dyes. The optimization of sample treatment resulted in 5 mg of sample as the optimum amount. Further, two consecutive extractions with 0.5 mL of ethyl acetate was the best option for the extraction of the dye. A quartz slide was used instead of a glass slide to reduce background signal, and an excitation laser of 532 nm offers better results than one of 785 nm. The optimized method was applied to the characterization of the dyes used in Pompeian pink and purple lake pigments. Alizarin and purpurin anthraquinone dyes, obtained from madder lake, were identified as the organic colorants. The SERS results were confirmed by those obtained by means of UV-visible spectroscopy. Graphical Abstract ᅟ.

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Mendeley readers

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The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 6 21%
Student > Bachelor 3 11%
Student > Master 2 7%
Professor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Chemistry 10 36%
Agricultural and Biological Sciences 2 7%
Arts and Humanities 2 7%
Earth and Planetary Sciences 2 7%
Nursing and Health Professions 1 4%
Other 4 14%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2020.
All research outputs
#15,739,010
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,753
of 9,618 outputs
Outputs of similar age
#236,550
of 423,458 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#38
of 163 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 423,458 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.