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Harnessing Raman spectroscopy for the analysis of plant diversity.
Jain, Ekta; Rose, Michelle; Jayapal, Praveen Kumar; Singh, Gajendra P; Ram, Rajeev J.
Afiliação
  • Jain E; Disruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
  • Rose M; Disruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
  • Jayapal PK; Disruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
  • Singh GP; Disruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
  • Ram RJ; Disruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore. rajeev@mit.edu.
Sci Rep ; 14(1): 12692, 2024 06 03.
Article em En | MEDLINE | ID: mdl-38830877
ABSTRACT
Here, we explore the application of Raman spectroscopy for the assessment of plant biodiversity. Raman spectra from 11 vascular plant species commonly found in forest ecosystems, specifically angiosperms (both monocots and eudicots) and pteridophytes (ferns), were acquired in vivo and in situ using a Raman leaf-clip. We achieved an overall accuracy of 91% for correct classification of a species within a plant group and identified lignin Raman spectral features as a useful discriminator for classification. The results demonstrate the potential of Raman spectroscopy in contributing to plant biodiversity assessment.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Biodiversidade Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Biodiversidade Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Singapura