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Phytochemical, GC-MS Analysis and Acute Toxicity Evaluation of Algerian Ocimum basilicum L. in Rats
Convolutional Neural Network (CNN) Model for the Classification of Varieties of Date Palm Fruits (Phoenix dactylifera L.)
The popularity and demand for high-quality date palm fruits (Phoenix dactylifera L.) have been growing, and their quality largely depends on the type of handling, storage, and processing methods. The current methods of geometric evaluation and classification of date palm fruits are characterised by high labour intensity and are usually performed mechanically, which may cause additional damage and reduce the quality and value of the product. Therefore, non-contact methods are being sought based on image analysis, with digital solutions controlling the evaluation and classification processes. The main objective of this paper is to develop an automatic classification model for varieties of date palm fruits using a convolutional neural network (CNN) based on two fundamental criteria, i.e., colour difference and evaluation of geometric parameters of dates. A CNN with a fixed architecture was built, marked as DateNET, consisting of a system of five alternating Conv2D, MaxPooling2D, and Dropout classes. The validation accuracy of the model presented in this study depended on the selection of classification criteria. It was 85.24% for fruit colour-based classification and 87.62% for the geometric parameters only; however, it increased considerably to 93.41% when both the colour and geometry of dates were considered.
Ocimum basilicum L. leaves extract-mediated green synthesis of MnO NPs: Phytochemical profile, characterization, catalytic and thrombolytic activities
Ocimum basilicum L. : A Systematic Review on Pharmacological Actions and Molecular Docking Studies for Anticancer Properties
Biosynthesis of CuNP Using Phragmites australis Rhizomes: Biological Activity and Cytotoxicity Against MCF-7 Cell Line
Ocimum basilicum L. extract-loaded liposomes ameliorate metribuzin-induced pulmonary and cardiac dysfunction in Wistar Albino rats
The objective was to develop liposomes as a new drug delivery system (NDDS) containing basil extract and to investigate their therapeutic and protective effects against toxicity caused by exposure to metribuzin in the lungs and heart. For in vivo study, 24 male albino Wistar rats were divided into four groups (n = 6), control group, metribuzin-treated group, Basil extract-treated group (BE) and Basil extract liposomes-treated group (BE-LPs). The weight gain of each organ was measured. Superoxide dismutase (SOD), Glutathion peroxidase (GPx), Glutation S transferase (GSTs), Catalase (CAT), Reduced Glutathion (GSH) and malondialdehyde (MDA) levels in lugs and heart were measured in order to evaluate oxidative stress status. The tissue histology of the organs was examined. Various biochemical parameters and inflammation markers were estimated. Results of the in vivo rats' study showed that treatment with metribuzin induced increase in organs weight, oxidative stress, biochemical toxicity, inflammation, and histological changes in the lungs and heart, as well as a significant amelioration of BE and BE-LPs against the toxic effects induced by metribuzin by reversing all of the previous parameters. In conclusion, the application of BE-LPs appears to be effective in addressing the issues of oxidative stress and inflammation caused by metribuzin in the lungs and heart.