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  <title>DSpace Coleção:</title>
  <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/9461" />
  <subtitle />
  <id>https://repositorio.ufba.br/handle/ri/9461</id>
  <updated>2026-05-04T03:27:05Z</updated>
  <dc:date>2026-05-04T03:27:05Z</dc:date>
  <entry>
    <title>Espectrometria de Massas e Molecular Networking como  ferramentas para o estudo da diversidade química de espécies  nativas de Passiflora L. (Passifloraceae).</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/43953" />
    <author>
      <name>Garcia, Laryana Borges</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/43953</id>
    <updated>2026-01-30T17:25:54Z</updated>
    <published>0007-07-11T00:00:00Z</published>
    <summary type="text">Título: Espectrometria de Massas e Molecular Networking como  ferramentas para o estudo da diversidade química de espécies  nativas de Passiflora L. (Passifloraceae).
Autor(es): Garcia, Laryana Borges
Primeiro Orientador: Amaral, Juliano Geraldo
Abstract: The Passifloraceae family, with more than 630 species, is predominant in tropical &#xD;
and subtropical regions, with Passiflora being the most extensive and diverse genus. This &#xD;
study aims to deepen the knowledge about the Passifloraceae family and the metabolic &#xD;
profiles of Passiflora subspecies, known for their rich phytochemical composition, &#xD;
including glycosylated flavonoids, carotenoids, cyanogenic glycosides, alkaloids, &#xD;
steroids, lignans, fatty acids, amino acids, chlorogenic acid derivatives and &#xD;
proanthocyanidins. Initially, we performed a comprehensive review covering studies &#xD;
from 1983 to 2023, offering a detailed overview of the scientific discoveries on the &#xD;
chemical compounds present in the genus Passiflora. Then, we combined mass &#xD;
spectrometry and molecular networking to explore the chemical diversity of native &#xD;
species of the genus Passiflora from Brazil. We developed a comprehensive database &#xD;
using liquid chromatography coupled to mass spectrometry (HPLC-MS/MS) to analyze &#xD;
the metabolic profile of several subspecies. The generated data were submitted to the &#xD;
GNPS platform, which generated a Molecular Networking, in which the same substances &#xD;
were grouped in a single node and the similar ones in clusters. The data generated by the &#xD;
network were dereplicated and also analyzed by multivariate statistical methods, and thus &#xD;
this work revealed metabolic similarities between species, such as P. incarnata, &#xD;
suggesting shared pharmacological potential. We documented 25 species not previously &#xD;
studied, expanding the knowledge about their medicinal properties and opening paths for &#xD;
the development of new products.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>0007-07-11T00:00:00Z</dc:date>
  </entry>
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