Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: A chemotaxonomic approach.
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| Title: | Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: A chemotaxonomic approach. |
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| Authors: | Reyes-Rivera, Jorge1 (AUTHOR) coquio83@gmail.com, Solano, Eloy1 (AUTHOR), Terrazas, Teresa1,2 (AUTHOR) tterrazas@ib.unam.mx, Soto-Hernández, Marcos3 (AUTHOR), Arias, Salvador4 (AUTHOR), Almanza-Arjona, Yara C.5 (AUTHOR), Polindara-García, Luis A.6 (AUTHOR) |
| Source: | Journal of Analytical & Applied Pyrolysis. Jun2020, Vol. 148, pN.PAG-N.PAG. 1p. |
| Subjects: | Lignins, Multivariate analysis, Pyrolysis gas chromatography, Cactus, Mass spectrometry, Ethylene oxide, Spine |
| Abstract: | • Lignocellulosics characterization by analytical fast-pyrolysis is a common technique. • Pyrolysis coupled to gas chromatography-mass spectrometry produces many information. • Cheminformatics allows deconvolute spectra and comparison by multivariate analyses. • Hierarchical clustering on principal component reduced datasets minimizes noise. • Different patterns allow samples classification and have chemotaxonomic application. Pyrolysis coupled to gas chromatography and mass spectrometry (Py-GC/MS) is a fast analytical technique used to characterize different lignocellulosic materials. Additionally, cheminformatics allows processing the vast amount of information obtained from Py-GC/MS for the classification of such materials. Here we characterized the lignocellulosic matrix of the spines in species of Cactaceae by Py-GC/MS; omic tools were used for processing the mass spectra in order to classify the species and identify chemical characters with taxonomic value. Fresh spines samples were collected from mature individuals belonging to 15 species of Cactaceae with known phylogenies. All samples were cleaned by ultrasonication and sequential Soxhlet extraction. Milled samples were analysed by Py-GC/MS and mass spectra were deconvoluted, identified, aligned and annotated using omic tools before the multivariate analysis. A total of 451 compounds were identified and aligned: ketones, esters, alcohols, furans and hydrocarbons were the main classes. Furan, furfural, butane and ethylene oxide were the main derivatives produced from carbohydrates, while the p -hydroxyphenyl (H) and guaiacyl (G) derivatives, as well as catechols, were the only compounds produced from lignin. Abundance patterns shared by different clusters of species were identified, obtaining a good resolution at the genus level. Lignin derivatives were preponderant for the identification of some groups of species, such as those of Cacteae, Selenicereus - Deamia and Opuntia. An incongruent clustering for Disocactus and Echinocereus species was found; environmental effects and characters convergence are evoked as the probable causes. A good taxonomic correspondence was obtained by combining the clustering and factorization analyses. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Analytical & Applied Pyrolysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 143740356 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: A chemotaxonomic approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Reyes-Rivera%2C+Jorge%22">Reyes-Rivera, Jorge</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> coquio83@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Solano%2C+Eloy%22">Solano, Eloy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Terrazas%2C+Teresa%22">Terrazas, Teresa</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> tterrazas@ib.unam.mx</i><br /><searchLink fieldCode="AR" term="%22Soto-Hernández%2C+Marcos%22">Soto-Hernández, Marcos</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arias%2C+Salvador%22">Arias, Salvador</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Almanza-Arjona%2C+Yara+C%2E%22">Almanza-Arjona, Yara C.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Polindara-García%2C+Luis+A%2E%22">Polindara-García, Luis A.</searchLink><relatesTo>6</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Analytical+%26+Applied+Pyrolysis%22">Journal of Analytical & Applied Pyrolysis</searchLink>. Jun2020, Vol. 148, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Lignins%22">Lignins</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Pyrolysis+gas+chromatography%22">Pyrolysis gas chromatography</searchLink><br /><searchLink fieldCode="DE" term="%22Cactus%22">Cactus</searchLink><br /><searchLink fieldCode="DE" term="%22Mass+spectrometry%22">Mass spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Ethylene+oxide%22">Ethylene oxide</searchLink><br /><searchLink fieldCode="DE" term="%22Spine%22">Spine</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Lignocellulosics characterization by analytical fast-pyrolysis is a common technique. • Pyrolysis coupled to gas chromatography-mass spectrometry produces many information. • Cheminformatics allows deconvolute spectra and comparison by multivariate analyses. • Hierarchical clustering on principal component reduced datasets minimizes noise. • Different patterns allow samples classification and have chemotaxonomic application. Pyrolysis coupled to gas chromatography and mass spectrometry (Py-GC/MS) is a fast analytical technique used to characterize different lignocellulosic materials. Additionally, cheminformatics allows processing the vast amount of information obtained from Py-GC/MS for the classification of such materials. Here we characterized the lignocellulosic matrix of the spines in species of Cactaceae by Py-GC/MS; omic tools were used for processing the mass spectra in order to classify the species and identify chemical characters with taxonomic value. Fresh spines samples were collected from mature individuals belonging to 15 species of Cactaceae with known phylogenies. All samples were cleaned by ultrasonication and sequential Soxhlet extraction. Milled samples were analysed by Py-GC/MS and mass spectra were deconvoluted, identified, aligned and annotated using omic tools before the multivariate analysis. A total of 451 compounds were identified and aligned: ketones, esters, alcohols, furans and hydrocarbons were the main classes. Furan, furfural, butane and ethylene oxide were the main derivatives produced from carbohydrates, while the p -hydroxyphenyl (H) and guaiacyl (G) derivatives, as well as catechols, were the only compounds produced from lignin. Abundance patterns shared by different clusters of species were identified, obtaining a good resolution at the genus level. Lignin derivatives were preponderant for the identification of some groups of species, such as those of Cacteae, Selenicereus - Deamia and Opuntia. An incongruent clustering for Disocactus and Echinocereus species was found; environmental effects and characters convergence are evoked as the probable causes. A good taxonomic correspondence was obtained by combining the clustering and factorization analyses. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Analytical & Applied Pyrolysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jaap.2020.104796 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Lignins Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Pyrolysis gas chromatography Type: general – SubjectFull: Cactus Type: general – SubjectFull: Mass spectrometry Type: general – SubjectFull: Ethylene oxide Type: general – SubjectFull: Spine Type: general Titles: – TitleFull: Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: A chemotaxonomic approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reyes-Rivera, Jorge – PersonEntity: Name: NameFull: Solano, Eloy – PersonEntity: Name: NameFull: Terrazas, Teresa – PersonEntity: Name: NameFull: Soto-Hernández, Marcos – PersonEntity: Name: NameFull: Arias, Salvador – PersonEntity: Name: NameFull: Almanza-Arjona, Yara C. – PersonEntity: Name: NameFull: Polindara-García, Luis A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 01652370 Numbering: – Type: volume Value: 148 Titles: – TitleFull: Journal of Analytical & Applied Pyrolysis Type: main |
| ResultId | 1 |
