Comparing optical and Raman spectroscopic investigations of phytoclasts and sporomorphs for thermal maturity assessment: the case study of Hettangian continental facies in the Holy cross Mts. (central Poland)

Schito, Andrea; Spina, Amalia; Corrado, Sveva; Cirilli, Simonetta; Romano, Cláudia

doi:10.1016/j.marpetgeo.2019.03.008

Cited by 24 publications

(19 citation statements)

References 82 publications

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“…Jubb et al [140] pointed out that for low-mature organic matter, Raman spectra show a high degree of heterogeneity, which requires caution when trying to accurately estimate the thermal maturity of organic matter by Raman spectroscopy. In order to avoid the subjectivity of the operator during the Raman spectral curve-fitting process, Lupoi et al, [141,142] Bonoldi et al, [143] and Schito et al [144] combined Raman spectroscopy and chemometric methods to predict the maturity of organic matter. The method is unaffected by the subjectivity of Raman spectral curve-fitting and parameter selection.…”

Section: Study Of Coal Rankmentioning

confidence: 99%

Progress of Raman spectroscopic investigations on the structure and properties of coal

Xia

Wang

et al. 2020

J Raman Spectroscopy

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Raman spectroscopy is a nondestructive and in situ analytical technique that could provide information on the chemical structure and structural ordering of carbonaceous materials. Based on the E2g symmetric stretching vibration mode in the aromatic layers (G band, ~1,580 cm−1) and the defect structure in graphite (D band, ~1,350 cm−1), Raman spectroscopy has been used extensively to characterize the structural features of carbonaceous matters since 1970. Coal is a complex organic compound made up mainly by carbon showing characteristic Raman bands. This article reviews the application of Raman spectroscopy for coal structure characterization under room temperature, to determine its chemical structure, crystallite size, coal rank, and combustion reactivity. Future research for collecting Raman spectra during coal pyrolysis at high temperatures is also discussed. The combination of high‐temperature hot stage with Raman spectroscopy technology allows direct collection of Raman spectra at high temperature.

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Section: Study Of Coal Rankmentioning

confidence: 99%

Progress of Raman spectroscopic investigations on the structure and properties of coal

Xia

Wang

et al. 2020

J Raman Spectroscopy

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“…Since LP-metamorphism reasonably obliterated the fossil contents making impossible any age determination, we applied the study of palynological content, a useful methodology due to the fact that the wall of sporomorphs is characterized by a sporopollenin, a biopolymer of complex and not-completely known structure very resistant up to high temperatures (e.g. [82][83][84][85][86]) and provide a good chronological resolution (e.g. [87]).…”

Section: Age Of Hosting Rocksmentioning

confidence: 99%

The Gavorrano Monzogranite (Northern Apennines): An Updated Review of Host Rock Protoliths, Thermal Metamorphism and Tectonic Setting

Brogi¹,

Caggianelli²,

Liotta³

et al. 2020

Preprint

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We review and refine the geological setting of an area located nearby the Tyrrhenian seacoast, in the inner zone of the Northern Apennines (southern Tuscany), where a Neogene monzogranite body (estimated in about 3 km long, 1.5 km wide, and 0.7 km thick) emplaced during early Pliocene. This magmatic intrusion, known as the Gavorrano pluton, is partially exposed in a ridge bounded by regional faults delimiting broad structural depressions. A widespread circulation of geothermal fluids accompanied the cooling of the magmatic body and gave rise to an extensive Fe-ore deposit (mainly pyrite) exploited during the past century. The tectonic setting which favoured the emplacement and exhumation of the Gavorrano pluton is strongly debated with fallouts on the comprehension of the Neogene evolution of this sector of the inner Northern Apennines. Data from a new fieldwork dataset, integrated with information from the mining activity, have been integrated to refine the geological setting of the whole crustal sector where the Gavorrano monzogranite was emplaced and exhumed. Our review, implemented by new palynological, petrological and structural data pointed out that: i) the age of the Palaeozoic phyllite (hosting rocks) is middle-late Permian, thus resulting younger than previously described (i.e. pre-Carboniferous); ii) the P-T conditions at which the metamorphic aureole developed are estimated at about 660 °C and at a maximum depth of c. 5 km; iii) the tectonic evolution which determined the emplacement and exhumation of the monzogranite is constrained in a transfer zone, in the frame of the extensional tectonics affecting the area continuously since Miocene.

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“…On the other hand, vitrinite discrimination among different organic facies has always been a critical issue for a correct assessment of thermal maturity [6,7], in particular when other low reflecting macerals occur [8][9][10][11]. Given this and the occurrence of other pitfalls that can interfere with vitrinite reflectance assessment (e.g., suppression and retardation [12,13] and references therein), alternative methods have been proposed, such as palynomorph darkness index (PDI, [14,15]), FT-IR spectroscopy [16][17][18][19][20], NMR [21], XPS [22], or Raman spectroscopy [23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

“…The majority of articles focused on the analysis of single macerals, mainly vitrinite in coals [24,26,27], whereas other ones on bulk kerogen [29,34,38]. Nevertheless, only a few authors dealt with the heterogeneity that can characterize organic facies [23,32] or even a single organoclast [37,39].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, a principal component analysis (PCA)-partial least square (PLS)-based multivariate analysis has been recently proposed [34,36] to correlate predictive parameters from PLS regression against vitrinite reflectance. Moreover, Schito et al [32] demonstrated how a partial least square discrimination analysis (PLS-DA) allows to define and predict the differences between vitrinite and sporomorphs on the base of their Raman spectrum for a given thermal maturity degree.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Predictive Model for Maceral Discrimination by Means of Raman Spectra on Dispersed Organic Matter: A Case Study from the Carpathian Fold-and-Thrust Belt (Ukraine)

et al. 2021

Self Cite

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In this study, we propose a predictive model for maceral discrimination based on Raman spectroscopic analyses of dispersed organic matter. Raman micro-spectroscopy was coupled with optical and Rock-Eval pyrolysis analyses on a set of seven samples collected from Mesozoic and Cenozoic successions of the Outer sector of the Carpathian fold and thrust belt. Organic petrography and Rock-Eval pyrolysis evidence a type II/III kerogen with complex organofacies composed by the coal maceral groups of the vitrinite, inertinite, and liptinite, while thermal maturity lies at the onset of the oil window spanning between 0.42 and 0.61 Ro%. Micro-Raman analyses were performed, on approximately 30–100 spectra per sample but only for relatively few fragments was it possible to perform an optical classification according to their macerals group. A multivariate statistical analysis of the identified vitrinite and inertinite spectra allows to define the variability of the organofacies and develop a predictive PLS-DA model for the identification of vitrinite from Raman spectra. Following the first attempts made in the last years, this work outlines how machine learning techniques have become a useful support for classical petrography analyses in thermal maturity assessment.

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Comparing optical and Raman spectroscopic investigations of phytoclasts and sporomorphs for thermal maturity assessment: the case study of Hettangian continental facies in the Holy cross Mts. (central Poland)

Cited by 24 publications

References 82 publications

Progress of Raman spectroscopic investigations on the structure and properties of coal

Progress of Raman spectroscopic investigations on the structure and properties of coal

The Gavorrano Monzogranite (Northern Apennines): An Updated Review of Host Rock Protoliths, Thermal Metamorphism and Tectonic Setting

A Predictive Model for Maceral Discrimination by Means of Raman Spectra on Dispersed Organic Matter: A Case Study from the Carpathian Fold-and-Thrust Belt (Ukraine)

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