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SciAps Handheld LIBS Analyzer was recently utilized for a newly published research paper looking at geochemical fingerprinting of geological materials. 

Geochemical fingerprinting by LIBS is an exciting application of this analytical technique. At SciAps, we are dedicated to progressing the capabilities and application of LIBS and proud and excited to be involved in research with this end on mind. SciAps handheld LIBS was utilised in data generation for a newly released paper co-authored by many researchers who have been at the forefront of LIBS research particularly for the analysis of geological materials. 

What is geochemical fingerprinting and how can it assist geoscientists?

Laser induced breakdown spectroscopy (LIBS) is a form of Atomic Emission Spectroscopy [AES] that can produce a comprehensive spectral dataset that allows all elements to be represented between 200-900nm. Statistical methods such as principal component analysis [PCA] and partial least squares discrimination analysis [PLSDA] can be used to distinguish and classify different types of geomaterials as specific rock types and minerals based upon their chemistry and even determine provenance with appropriate training sets.


Check out this recent publication---->
 
Geochemical Fingerprinting by Handheld Laser-Induced Breakdown Spectroscopy.
  Harmon, R. S., Hark, R. R., Throckmorton, C. S., Rankey, E. C., Wise, M. A., Somers, A. M. and Collins, L. M. (2017), Geochemical Fingerprinting by Handheld Laser-Induced Breakdown Spectroscopy. Geostand Geoanal Res, 41: 563-584. doi:10.1111/ggr.12175

Abstract:
A broad suite of geological materials was studied a using a handheld laser-induced breakdown spectroscopy (LIBS)  instrument. Because LIBS is simultaneously sensitive to all elements, the full broadband emission spectrum recorded from a single laser shot provides a ' chemical
fingerprint ' of any material - solid, liquid or gas. The distinguishing chemical  characteristics of the samples analyzed were identified through principal component analysis (PCA), which demonstrates  how this technique for statistical analysis can be used to identify spectral differences between similar sample types based  on minor and trace constituents. Partial least squares discriminant analysis (PLSDA) was used to distinguish and classify the  materials, with excellent discrimination achieved for all sample types. This study illustrates through four examples  (carbonate minerals and rocks, the oxide mineral pair columbite - tantalite, the silicate mineral garnet and native gold)  how portable, handheld LIBS analyzers can be used for real-time chemical analysis under simulated field conditions for element or mineral identification, plus such applications as stratigraphic correlation, provenance determination and  natural resource
exploration.

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