Chemotaxonomic discrimination of lichen species using an infrared chalcogenide fibre optic sensor: A useful tool for on-field biosourcing
| Autor: | F. Rojas, Olivier Sire, Frédéric Charpentier, H. Tariel, Nadia Fatih, F. Lohezic Le Devehat, B. Le Daré, Joël Boustie, F. Massart, Olivier Loréal, M. Le Corvec, Catherine Boussard-Plédel, Bruno Bureau |
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| Přispěvatelé: | Institut de Recherche Dupuy de Lôme (IRDL), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Centre National de la Recherche Scientifique (CNRS), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), DIAFIR, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), ANRT, Association Nationale de la Recherche et de la Technologie, Jonchère, Laurent, Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Nostoc
food.ingredient Linear discriminant analysis General Chemical Engineering Peltigera Analytical chemistry Principal component analysis Second derivative spectra 01 natural sciences Analytical method Natural extracts Chemical compounds food Botany [CHIM] Chemical Sciences Metabolic profiling [CHIM]Chemical Sciences Optical fibers Chemical analysis Peltigera membranacea Lichen Certification requirements ComputingMilieux_MISCELLANEOUS Collema Organic extracts Evanescent wave spectroscopy Cladonia biology 010405 organic chemistry Chemistry [CHIM.ORGA]Chemical Sciences/Organic chemistry Stereocaulon 010401 analytical chemistry Fungi General Chemistry biology.organism_classification [CHIM.ORGA] Chemical Sciences/Organic chemistry Discriminant analysis 0104 chemical sciences Chalcogenides |
| Zdroj: | RSC Advances RSC Advances, 2016, 6 (110), pp.108187--108195. ⟨10.1039/c6ra17140k⟩ RSC Advances, Royal Society of Chemistry, 2016, 6 (110), pp.108187--108195. ⟨10.1039/c6ra17140k⟩ |
| ISSN: | 2046-2069 |
| DOI: | 10.1039/c6ra17140k⟩ |
| Popis: | Many analytical methods are known to discriminate natural products based on the set of chemical compounds they contain. Here, we evaluated the ability of Fibre Evanescent Wave Spectroscopy (FEWS) to discriminate lichen natural extracts. Ten species of lichens including four chlorolichens (three Cladonia species and Stereocaulon scutelligerum), three tripartite lichens (Stereocaulon species) and three cyanolichens (Lichina pygmaea, Collema cristatum, Peltigera membranacea) belonging to six genera and six families were studied. One macroscopic cyanobacterium (Nostoc sp.), corresponding to the photobiont partner of Peltigera and Collema cyanolichens, was included for comparison. MIR spectra were acquired from lichen organic extracts between 3800-950 cm-1 using a chalcogenide infrared fibre optical device. Principal Component Analysis (PCA) and PCA-LDA (PCA-Linear Discriminant Analysis) based on the concept of variable clustering has been applied to absorbance MIR second derivative spectra for classification of the 11 species. The method succeeded in separating all lichen species and in identifying the major compounds. Moreover, the signature of the sample was specific of each lichen suggesting that minor compounds played a role. Our data showed that FEWS optical sensor profiling is a rapid, efficient and convenient tool for metabolic profiling and suggest that it can be used: (i) in chemotaxonomic approaches, (ii) in processes for certification requirements in active compounds availability, and (iii) in identifying new biosourcings in so far non-investigated lichen species. © The Royal Society of Chemistry 2016. |
| Databáze: | OpenAIRE |
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