Search results for "Extract"
showing 10 items of 2769 documents
Algae biomass: characteristics and applications. Towards algae-based products
2018
This book is a compendium of knowledge on the useful properties of algae in the context of application as a useful component of innovative natural products. It presents all aspects of industrial applications of macroalgae biomass derived from the natural environment. Despite many interesting characteristics, algae are still regarded as undervalued raw material, therefore, present in the following chapters are not only environmental benefits arising from the development of excessive algal biomass, but also the distribution and biology of algae in natural conditions in reservoirs, methods of obtaining extracts from biomass of algae for industrial purposes. Furthermore, it also includes topics…
Biologically active compounds in algae and their application in plant growth stimulation
2016
In recent years the bioactive substances of natural origin gained more and more interest. Among such substances, the compounds isolated from microalgae and seaweeds, mainly the polyphenols, polysaccharides, plant hormones, pigments and fatty acids, an find an application in many industries, particularly in medicine, pharmaceutics, cosmetics and agriculture. Biostimulants from seaweeds have been used and manufactured for years, giving confirmation of its effectiveness in field trials, enhancing the growth of crops giving better yields. Nowadays, the legislation processes are more difficult and intricate, so it is harder to register new products. Everyone put more attention on the answers for…
The biomass of algae and algal extracts in agricultural production
2018
Fertilizers and plant growth regulators (PGRs) based on seaweeds are commonly known, having been produced and utilized for dozens of years. Algae are rich in carbohydrates, proteins, minerals and chemical compounds that belong mainly to the following groups: polysaccharides, polyphenols, phlorotannins, plant pigments, unsaturated fatty acids, sterols and plant hormones. Agricultural formulations containing algal extracts stimulate the growth and yielding of plants in a very efficient way because of their action at low concentrations. Concentrations of phytohormones depend mainly on the botanical origin of the obtained biomass, the time and place of its collection and the method of extractio…
Metody wydzielania, zatężania i oznaczania związków fenolowych z próbek środowiskowych i żywności
2011
Identification of metalloporphyrins extracted from the copper bearing black shale of fore sudetic monocline (Poland)
2006
Abstract Metalloporphyrins were isolated from copper-bearing black shale ores. The shale originates from the Lubin copper mine (Poland). The porphyrins have been extracted by way of a Soxhlet apparatus, and then purified using column chromatography. In order to identify the extracted porphyrins complexes UV–Vis, mass spectrometry and EPR analytical techniques have been used.
Bio-Waste Products of Mangifera indica L. Reduce Adipogenesis and Exert Antioxidant Effects on 3T3-L1 Cells
2022
Several studies highlighted the beneficial value of natural compounds in the prevention and treatment of obesity. Here, we investigated the anti-obesity effects of extracts of peel and seed of mango (Mangifera indica L.) cultivated in Sicily (Italy) in 3T3-L1 cells. Mango Peel (MPE) and Mango Seed (MSE) extracts at a 100 µg/mL concentration significantly reduced lipid accumulation and triacylglycerol contents during 3T3-L1 adipocyte differentiation without toxicity. HPLC-ESI-MS analysis showed that both the extracts contain some polyphenolic compounds that can account for the observed biological effects. The anti-adipogenic effect of MPE and MSE was the result of down-regulation of th…
A review of sustainable and intensified techniques for extraction of food and natural products
2020
International audience; This review presents innovative extraction techniques and their role in promoting sustainable ingredients forthe food, cosmetic and pharmaceutical industries. These techniques (such as microwave, ultrasound, pulseelectricfield, instant controlled pressure drop, sub- and super-criticalfluid processing, extrusion, mechano-chemistry, high pressure, and ohmic, UV and IR heating) use or produce less solvent, energy, and hazards.This review will provide the necessary theoretical background and some details about green extractiontechniques, their mechanisms, some applications, and environmental impacts. We will pay special attentionto the strategies and present them as succ…
Influence of anxiety and anesthetic vasoconstrictors upon hemodynamic parameters during dental procedures in controlled hypertensive and non-hyperten…
2020
Background To determine the influence of dental anxiety and the vasoconstrictor used in local anesthesia upon different hemodynamic parameters - systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR) and peripheral oxygen saturation (SatO2) - during dental extraction and oral hygiene. The safety of local anesthesia with vasoconstrictor in patients with medically controlled hypertension was also assessed. Material and methods A total of 159 patients were divided into two groups according to the dental treatment received: tooth extraction (n = 106) and oral hygiene (n = 53). The hemodynamic parameters (SBP, DBP, HR and SatO2) were recorded throughout dental treatment. Patient anxi…
Multiple Classifiers and Data Fusion for Robust Diagnosis of Gearbox Mixed Faults
2019
Detection and isolation of single and mixed faults in a gearbox are very important to enhance the system reliability, lifetime, and service availability. This paper proposes a hybrid learning algorithm, consisting of multilayer perceptron (MLP)- and convolutional neural network (CNN)-based classifiers, for diagnosis of gearbox mixed faults. Domain knowledge features are required to train the MLP classifier, while the CNN classifier can learn features itself, allowing to reduce the required knowledge features for the counterpart. Vibration data from an experimental setup with gearbox mixed faults is used to validate the effectiveness of the algorithms and compare them with conventional metho…
Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation
2021
International audience; Deep learning-based image understanding techniques require a large number of labeled images for training. Few-shot semantic segmentation, on the contrary, aims at generalizing the segmentation ability of the model to new categories given only a few labeled samples. To tackle this problem, we propose a novel prototypical network (MAPnet) with multiscale feature attention. To fully exploit the representative features of target classes, we firstly extract rich contextual information of labeled support images via a multiscale feature enhancement module. The learned prototypes from support features provide further semantic guidance on the query image. Then we adaptively i…