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1.
J Ethnopharmacol ; 276: 114165, 2021 Aug 10.
Artículo en Inglés | MEDLINE | ID: mdl-33932517

RESUMEN

ETHNOPHARMACOLOGICAL RELEVANCE: In Latin American Traditional Medicine, the use of Burseraceae oleoresins for headache relief is widespread. In the quilombola (maroon) communities of the municipality of Oriximiná, Pará State, Brazil, Burseraceae oleoresins are burned as incenses to treat headache; an effect attained by inhaling the smokes. AIM OF THE STUDY: This study was designed to investigate the scientific rationale behind the use of Burseraceae pitch oleoresin smokes on headache by identifying its chemical constituents and discussing whether they could be beneficial for headache treatment. MATERIALS AND METHODS: Two samples of pitch oleoresins were purchased from Amazonian public markets; one of them marketed as "breu preto" (black pitch), and the other as "breu branco" (white pitch). The smoke headspaces produced upon burning these oleoresins were collected and analysed by GC-MS. For comparative purposes, the triterpenoid fingerprints of the oleoresins' dichloromethane extracts and profiles of the essential oils were also obtained by GC-MS - and GC-FID, in the case of the essential oils. RESULTS: A total of 32 compounds were detected in black and white pitch oleoresin smokes. All smoke headspaces of the pitch oleoresins shared the presence of volatile terpenoids (e.g., α-terpineol) and triterpenoids (e.g., α-amyrin, ß-amyrin, α-amyrone, and ß-amyrone). These compounds were also present in the crude resins and could potentially be responsible for anti-inflammatory, antinociceptive and analgesic effects on headache. CONCLUSIONS: The pharmacological data on the terpenoids detected in the Burseraceae pitch smokes strongly support their traditional use for headache, but their actual effects upon inhalation have yet to be determined.


Asunto(s)
Burseraceae/química , Cefalea/terapia , Extractos Vegetales/química , Humo/análisis , Cromatografía de Gases y Espectrometría de Masas , Humanos , América Latina , Medicina Tradicional , Aceites Volátiles/química , Extractos Vegetales/uso terapéutico
2.
J Ethnopharmacol ; 259: 112968, 2020 Sep 15.
Artículo en Inglés | MEDLINE | ID: mdl-32417426

RESUMEN

ETHNOPHARMACOLOGICAL RELEVANCE: In the quilombola communities of the municipality of Oriximiná (Pará State, Brazil), Protium spp. (Burseraceae) oleoresins are distinguished in black and white pitch. White pitch oleoresins may be superior to black pitch in terms of quality, but the criteria used for their differentiation are fairly subjective. AIM OF THE STUDY: This study was designed to provide a scientific rationale for the traditional differentiation of black and white pitch oleoresins based on their non-volatile fraction. MATERIALS AND METHODS: Black and white pitch oleoresin samples collected in quilombola territories in Oriximiná were analysed by GC-EI-MS and UPLC-APCI-MS. The feasibility of EI and APCI mass spectrometry-based pattern recognition methods PLS-DA and Random Forest Analysis (RFA) for black and white pitch oleoresins differentiation was demonstrated. RESULTS: The UPLC-APCI-MS method allowed the separation of 43 triterpenoids. Assessment of the triterpenoid fingerprints by GC-EI-MS led to the tentative identification of ursa-9(11),12-dien-3-ol as a potential marker for black pitch oleoresins. PLS-DA and RFA applied to the APCI-MS and EI-MS data gave good models for black and white pitch oleoresins classification. The most important ions for the classifications of black pitch oleoresins by APCI-MS/PLS-DA and APCI-MS/RFA likely represented triterpenoid acids. CONCLUSIONS: The triterpenoid pattern differs between black and white pitch oleoresins. The characteristic presence of ursa-9(11),12-dien-3-ol and triterpenoids acids in black pitch oleoresins, along with other field observations, suggest that black pitch oleoresins are actually aged white pitch oleoresins.


Asunto(s)
Burseraceae/química , Color , Extractos Vegetales/aislamiento & purificación , Espectrometría de Masa por Ionización de Electrospray , Triterpenos/aislamiento & purificación , Inteligencia Artificial , Burseraceae/clasificación , Análisis de los Mínimos Cuadrados , Reconocimiento de Normas Patrones Automatizadas , Extractos Vegetales/clasificación , Triterpenos/clasificación
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