2017
DOI: 10.1002/jrs.5240
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Automated curve fitting and unsupervised clustering of manganese oxide Raman responses

Abstract: Natural manganese oxides characterization represents a challenge due to the broad variety of their structures and geochemical compositions along with a frequent poor crystallinity. This characterization requires the ability to conduct both a phase separation and a phase association operation. In this paper, the Raman spectra acquired on a selection of natural manganese oxide minerals are first processed with an automated curve‐fitting model called MnOx. The adjustment of convolution envelope is realized, thank… Show more

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Cited by 13 publications
(13 citation statements)
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References 31 publications
(44 reference statements)
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“…A selected, representative spectrum of manganite, is reported in Figure a. Measured positions and relative intensity of observed bands are in agreement with data reported by previous works for natural samples, and with the data collected on a synthetic sample by another work …”
Section: Resultssupporting
confidence: 89%
See 1 more Smart Citation
“…A selected, representative spectrum of manganite, is reported in Figure a. Measured positions and relative intensity of observed bands are in agreement with data reported by previous works for natural samples, and with the data collected on a synthetic sample by another work …”
Section: Resultssupporting
confidence: 89%
“…In the literature, there are many discrepancies regarding the Raman spectra of MnOx, both for the spectra collected on natural phases and for the spectra collected on synthetic phases . The disagreements between the data can be due to many factors such as the experimental condition, the incorrect identification of the examined cryptocrystalline materials, and the wide variety of possible mixtures between different MnOx .…”
Section: Raman Spectroscopy Of Mnox: State Of the Artmentioning
confidence: 99%
“…The obtained intensity are variable due to the multiple acquisition procedure. Mn-oxides usually show three main band frequencies shift regions that can be recognized at 200-450, 450-600 and 600-750 cm −1 [52,54,56,58,70,71].…”
Section: Raman and Ft-ir Spot Analysismentioning
confidence: 99%
“…The Raman spectra acquired on a selection of natural Mn oxide minerals are first processed with an automated curve‐fitting model called MnOx. The adjustment of convolution envelope is achieved using the Levenberg–Marquardt algorithm applied on a set of randomly generated seed pseudo‐Voigt curves . Sanz‐Arranz et al describe the use of amorphous zinc borate as a simple standard for baseline correction in Raman spectra.…”
Section: Raman Techniques and Methodsmentioning
confidence: 99%
“…The adjustment of convolution envelope is achieved using the Levenberg-Marquardt algorithm applied on a set of randomly generated seed pseudo-Voigt curves. [240] Sanz-Arranz et al describe the use of amorphous zinc borate as a simple standard for baseline correction in Raman spectra. As an alternative to existing methods of baseline correction, the authors propose a solution based on the use of amorphous zinc borate, an easy-to-find substance, which after a simple processing allows us to correct the baseline of Raman spectra qualitatively, offering a useful and economic reference when an absorbance intensity correction is not needed.…”
Section: Instrumentation and Imagingmentioning
confidence: 99%