Comparative evaluation of the effect of soxhlet and ultrasound extraction methods in the phytochemical screening of the Syzygium paniculatum plant located in Urcuquí
This study addresses the effect of two extraction methods, Soxhlet and ultrasound, on the phytochemical profile of the ripe fruit of Syzygium paniculatum , a species native to Australia and cultivated in Urcuquí , Ecuador. The main objective was to compare the influence of both methods on the qualit...
-д хадгалсан:
| Үндсэн зохиолч: | |
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| Формат: | bachelorThesis |
| Хэвлэсэн: |
2025
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://repositorio.yachaytech.edu.ec/handle/123456789/1007 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| Тойм: | This study addresses the effect of two extraction methods, Soxhlet and ultrasound, on the phytochemical profile of the ripe fruit of Syzygium paniculatum , a species native to Australia and cultivated in Urcuquí , Ecuador. The main objective was to compare the influence of both methods on the qualitative detection of secondary metabolites through phytochemical screening assays. The research followed a comparative experimental design using a representative sample of 500 g of ripe fruits (maturity stage 5). Extractions were performed using 96% ethanol (Soxhlet) and 70% ethanol (ultrasound), followed by filtration, rotary evaporation, and lyophilization. Qualitative tests were applied to detect compounds such as flavonoids, saponins, phenols, triterpenes, among others. The results revealed significant differences in metabolite detection: the Soxhlet method was more efficient in recovering triterpenes and steroids, while ultrasound extraction was more effective in detecting phenolic compounds and free amino acids. Based on the statistical results, it is concluded that, although there is a high qualitative agreement (76.9%) between the Soxhlet and ultrasound methods in the detection of metabolites, and a strong association reflected in the Odds Ratio (OR = 12.0), this relationship is not statistically significant (p = 0.1026). This is mainly attributed to the small sample size (n = 13), which limits the statistical power to confirm a true dependence between the methods . |
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