Please use this identifier to cite or link to this item:
https://repositorio.ufpa.br/jspui/handle/2011/9361
metadata.dc.type: | Artigo de Periódico |
Issue Date: | Jan-2017 |
metadata.dc.creator: | SILVA, Aiêrta Cristina Carrá da BARBOSA, Francisco Geraldo MAFEZOLI, Jair OLIVEIRA, Maria da Conceição Ferreira de OLIVEIRA, Terezinha Ferreira de |
Title: | HS-SPME as an efficient tool for discriminating chemotypes of Lippia Alba(Mill.) N. E. Brown |
Citation: | SILVA, Aiêrta C. C. da et al. HS-SPME as an efficient tool for discriminating chemotypes of Lippia alba (Mill.) N. E. Brown. Química Nova, São Paulo, v. 40, n. 1, p. 42-46, jan. 2017. Disponível em: <http://repositorio.ufpa.br/jspui/handle/2011/9361>. Acesso em:. |
Abstract: | Lippia alba (Mill.) N. E. Brown (Verbenaceae) is a medicinal plant for which several biological activities are reported, such as sedative, anxiolytic, anti-ulcer, antifungal, antimicrobial, antioxidant, antispasmodic, anti-nociceptive and anti-inflammatory. It is characterized by the production of essential oils which have been used to classify the plant in different chemotypes. In the Northeast region of Brazil, the presence of three chemotypes are reported: myrcene-citral (chemotype I), limonene-citral (chemotype II) and carvone-limonene (chemotype III). In this work, headspace-solid phase microextraction (HS-SPME) was used on the analysis of the volatile organic compounds (VOCs) of three chemotypes of L. alba from the Northeast region of Brazil, and compared to the essential oils of the plants extracted by hydrodistillation. Volatile compounds from each chemotype were more effectively differentiated when extracted by HS-SPME than by hydrodistillation. |
Keywords: | Lippia alba Quimiotipos Essências e óleos essenciais |
metadata.dc.subject.cnpq: | CNPQ::CIENCIAS EXATAS E DA TERRA::QUIMICA |
Series/Report no.: | Química Nova |
ISSN: | 0100-4042 1678-7064 |
metadata.dc.publisher.country: | Brasil |
Publisher: | Universidade Federal do Pará |
metadata.dc.publisher.initials: | UFPA |
metadata.dc.rights: | Acesso Aberto |
metadata.dc.source.uri: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000100042&lng=pt&nrm=iso |
metadata.dc.identifier.doi: | http://dx.doi.org/10.21577/0100-4042.20160156 |
Appears in Collections: | Artigos Científicos - FAEST/ICEN |
Files in This Item:
File | Description | Size | Format | |
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Artigo_HSSPME_EfficientTool.pdf | 258,82 kB | Adobe PDF | View/Open |
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