Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar
In this research, an innovative procedure is proposed to elaborate Raman spectra obtained from nanostructured and disordered solids. As a challenging case study, biochar, a bio-derived carbon based material, was selected. The complex structure of biochar (i.e., channeled surface, inorganic content)...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Nanomaterials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-4991/10/9/1748 |
| _version_ | 1797554722487402496 |
|---|---|
| author | Alberto Tagliaferro Massimo Rovere Elisa Padovano Mattia Bartoli Mauro Giorcelli |
| author_facet | Alberto Tagliaferro Massimo Rovere Elisa Padovano Mattia Bartoli Mauro Giorcelli |
| author_sort | Alberto Tagliaferro |
| collection | DOAJ |
| description | In this research, an innovative procedure is proposed to elaborate Raman spectra obtained from nanostructured and disordered solids. As a challenging case study, biochar, a bio-derived carbon based material, was selected. The complex structure of biochar (i.e., channeled surface, inorganic content) represents a serious challenge for Raman characterization. As widely reported, the Raman spectra are closely linked to thermal treatments of carbon material. The individual contributions to the Raman spectra are difficult to identify due to the numerous peaks that contribute to the spectra. To tackle this problem, we propose a brand new approach based on the introduction, on sound theoretical grounds, of a mixed Gaussian-–Lorentzian lineshape. As per the experimental part, biochar samples were carbonized in an inert atmosphere at various temperatures and their respective spectra were successfully decomposed using the new lineshape. The evolution of the structure with carbonization temperature was investigated by Raman and XRD analysis. The results of the two techniques fairly well agree. Compared to other approaches commonly reported in the literature this method (i) gives a sounder basis to the lineshape used in disordered materials, and (ii) appears to reduce the number of components, leading to an easier understanding of their origin. |
| first_indexed | 2024-03-10T16:36:05Z |
| format | Article |
| id | doaj.art-9b138776a7f64d84a0fa3e1fcaced097 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-10T16:36:05Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-9b138776a7f64d84a0fa3e1fcaced0972023-11-20T12:29:03ZengMDPI AGNanomaterials2079-49912020-09-01109174810.3390/nano10091748Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of BiocharAlberto Tagliaferro0Massimo Rovere1Elisa Padovano2Mattia Bartoli3Mauro Giorcelli4Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyIn this research, an innovative procedure is proposed to elaborate Raman spectra obtained from nanostructured and disordered solids. As a challenging case study, biochar, a bio-derived carbon based material, was selected. The complex structure of biochar (i.e., channeled surface, inorganic content) represents a serious challenge for Raman characterization. As widely reported, the Raman spectra are closely linked to thermal treatments of carbon material. The individual contributions to the Raman spectra are difficult to identify due to the numerous peaks that contribute to the spectra. To tackle this problem, we propose a brand new approach based on the introduction, on sound theoretical grounds, of a mixed Gaussian-–Lorentzian lineshape. As per the experimental part, biochar samples were carbonized in an inert atmosphere at various temperatures and their respective spectra were successfully decomposed using the new lineshape. The evolution of the structure with carbonization temperature was investigated by Raman and XRD analysis. The results of the two techniques fairly well agree. Compared to other approaches commonly reported in the literature this method (i) gives a sounder basis to the lineshape used in disordered materials, and (ii) appears to reduce the number of components, leading to an easier understanding of their origin.https://www.mdpi.com/2079-4991/10/9/1748Ramandisordered carbonbiocharsignal processing |
| spellingShingle | Alberto Tagliaferro Massimo Rovere Elisa Padovano Mattia Bartoli Mauro Giorcelli Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar Nanomaterials Raman disordered carbon biochar signal processing |
| title | Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar |
| title_full | Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar |
| title_fullStr | Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar |
| title_full_unstemmed | Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar |
| title_short | Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar |
| title_sort | introducing the novel mixed gaussian lorentzian lineshape in the analysis of the raman signal of biochar |
| topic | Raman disordered carbon biochar signal processing |
| url | https://www.mdpi.com/2079-4991/10/9/1748 |
| work_keys_str_mv | AT albertotagliaferro introducingthenovelmixedgaussianlorentzianlineshapeintheanalysisoftheramansignalofbiochar AT massimorovere introducingthenovelmixedgaussianlorentzianlineshapeintheanalysisoftheramansignalofbiochar AT elisapadovano introducingthenovelmixedgaussianlorentzianlineshapeintheanalysisoftheramansignalofbiochar AT mattiabartoli introducingthenovelmixedgaussianlorentzianlineshapeintheanalysisoftheramansignalofbiochar AT maurogiorcelli introducingthenovelmixedgaussianlorentzianlineshapeintheanalysisoftheramansignalofbiochar |