Unveiling Annona Reticulata's Bioactive Arsenal for Enhanced Antibiotic Effects.

OBJECTIVE: To study the antibacterial and phytochemical activities of bioactive elements in the leaves of Annona reticulata Linn, a historically used Bangladeshi medicinal plant. METHODS: Shade-dried and crushed plant leaves were soaked with various solvents to obtain samples for different chemical analyses. All extracts were selected for antimicrobial, physicochemical, and Pharmacological investigations. The antimicrobial activity was evaluated using disc diffusion assay, and broth microdilution methods determined potentiation of the activities of the antibiotic antibacterial activity of the plant extracts was investigated using either gram-positive or gram-negative pathogenic wild-type bacteria. RESULTS: From the initial phytochemical and pharmacological studies, it was clear that all extracts, methanol, chloroform, and ethyl acetate, of the leaves of A. reticulata, were proven to process potent bioactive constituents. While differential antimicrobial properties were found to be possessed by all extracts, methanolic extract was the most potent one against all tested microorganisms. It also has potentiated the activities of antibiotics in E. coli. CONCLUSION: Bioactive constituents in the plant extracts were shown to possess phytochemical and antimicrobial activities. More investigation is needed to segregate the chemical components responsible for the respective phytochemical and antimicrobial activities.

Methanol, ethyl acetate and n-hexane extracts of Tragia involucrata L. leaves exhibit anxiolytic, sedative and analgesic activity in Swiss albino mice.

INTRODUCTION: Tragia involucrata L. have been utilized as traditional medicine in Indian subcontinent for the treatment of numerous illnesses such as inflammation, pain and skin infection. In this current study we sought to assess the anxiolytic, sedative and analgesic activity of Tragia involucrata L. leaves extract. MATERIALS AND METHODS: We first performed a phytochemical screening test of the leaves extracts following standard phytochemical screening protocols. We next examined the anxiolytic and sedative activity of crude methanol (TIME), ethyl acetate (TIEAE) and n-Hexane (TIHE) extract of Tragia involucrata L. leaves using mouse behavioral models such as elevated plus-maze test and pentobarbital-induced sleeping time test, respectively. Likewise, we evaluated the analgesic activity using acetic acid induced writhing test and formalin induced paw licking test. Additionally, we performed a quantitative analysis of heavy metals content of Tragia involucrata L. leaves by overnight digestion in concentrated nitric acid (HNO3). RESULTS: Phytochemical screening demonstrated that TIME, TIEAE and TIHE contain flavonoids, alkaloids, tannins, phenols, terpenoids and sterols. Administration of these extracts resulted in higher number of open arm entry, lower number of close arm entry and higher time spent in open arm compared to control treatment (p < 0.05). Moreover, these treatments decreased the onset of sleep time and increased the duration of sleep compared to control treated mice (all p < 0.05). Likewise, extracts treated mice exhibited decreased number of writhing as well as lower acute phase and late phase duration compared to control treatment (all p < 0.05). The average level of As and Fe in Tragia involucrata L. leaves was 5.16 ± 0.012 ppm and 2.76 ± 0.015 ppm, respectively. CONCLUSION: Results from this study support that Tragia involucrata L. leaves extracts exhibit an anxiolytic, sedative and analgesic activity in mice.

Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin.

A study was conducted to detect and quantify lard stearin (LS) content in canola oil (CaO) using differential scanning calorimetry (DSC). Authentic samples of CaO were obtained from a reliable supplier and the adulterant LS were obtained through a fractional crystallization procedure as reported previously. Pure CaO samples spiked with LS in levels ranging from 5 to 15% (w/w) were analyzed using DSC to obtain their cooling and heating profiles. The results showed that samples contaminated with LS at 5% (w/w) level can be detected using characteristic contaminant peaks appearing in the higher temperature regions (0 to 70°C) of the cooling and heating curves. Pearson correlation analysis of LS content against individual DSC parameters of the adulterant peak namely peak temperature, peak area, peak onset temperature indicated that there were strong correlations between these with the LS content of the CaO admixtures. When these three parameters were engaged as variables in the execution of the stepwise regression procedure, predictive models for determination of LS content in CaO were obtained. The predictive models obtained with single DSC parameter had relatively lower coefficient of determination (R(2) value) and higher standard error than the models obtained using two DSC parameters in combination. This study concluded that the predictive models obtained with peak area and peak onset temperature of the adulteration peak would be more accurate for prediction of LS content in CaO based on the highest coefficient of determination (R(2) value) and smallest standard error.