| Title |
Multivariate classification of pigments and inks using combined Raman spectroscopy and LIBS
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2011
|
| DOI | 10.1007/s00216-011-5287-6 |
| Pubmed ID | |
| Authors |
Marek Hoehse, Andrea Paul, Igor Gornushkin, Ulrich Panne |
| Abstract |
The authenticity of objects and artifacts is often the focus of forensic analytic chemistry. In document fraud cases, the most important objective is to determine the origin of a particular ink. Here, we introduce a new approach which utilizes the combination of two analytical methods, namely Raman spectroscopy and laser-induced breakdown spectroscopy (LIBS). The methods provide complementary information on both molecular and elemental composition of samples. The potential of this hyphenation of spectroscopic methods is demonstrated for ten blue and black ink samples on white paper. LIBS and Raman spectra from different inks were fused into a single data matrix, and the number of different groups of inks was determined through multivariate analysis, i.e., principal component analysis, soft independent modelling of class analogy, partial least-squares discriminant analysis, and support vector machine. In all cases, the results obtained with the combined LIBS and Raman spectra were found to be superior to those obtained with the individual Raman or LIBS data sets. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 145 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 21% |
| Researcher | 29 | 20% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 13 | 9% |
| Professor > Associate Professor | 6 | 4% |
| Other | 20 | 14% |
| Unknown | 32 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 51 | 34% |
| Physics and Astronomy | 23 | 16% |
| Engineering | 9 | 6% |
| Materials Science | 5 | 3% |
| Earth and Planetary Sciences | 4 | 3% |
| Other | 14 | 9% |
| Unknown | 42 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 February 2014.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,669
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Outputs of similar age
#86,544
of 121,687 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#66
of 73 outputs
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