Screening of Ipomoea tuba Leaf Extract for Identification of Bioactive Compounds and Evaluation of Its in vitro Antiproliferative Activity Against MCF-7 and HeLa Cells

Abstract

Mangroves contain a wide range of bioactive compounds with pharmacological activities. In the present study, we analysed the separation and detection of phytoconstituents with the methanol extract of Ipomoea tuba leaf using gas chromatography-mass spectrometry (GC-MS) and tested its in vitro cytotoxicity effect against MCF-7 and HeLa cells. Phytochemical compounds such as docosanoic, octadecatrienoic and cis-9-octadecanoic acids, triterpenoid γ-sitosterol, and terpene alcohol in methanol extract of I. tuba leaf were identified. Furthermore, in vitro antiproliferative activity of the extract of I. tuba leaf was evaluated using MCF-7 and HeLa cells. The results indicated a reduction of cell viability of 37.43 and 41.89 % of MCF-7 and HeLa cells respectively. The methanol extract of I. tuba leaf proved to be effective in protecting the cells against oxidative stress. This is the first report on the in vitro cytotoxicity effect of I. tuba leaf extract on MCF-7 and HeLa cells.

Time-Series Classification Vegetables in Detecting Growth Rate Using Machine Learning

“…To identify the healthiness and disease of the plant, the machine learning technique [3]- [5] was often applied to gain accuracy and performance. The clustering algorithm, as defined by L.a.b (value from the CIELAB colour scale) and coordinates of x and y-axis of the pixels [6], [7]. The input images are segmented into atomic regions.…”