Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
28 result(s) for "Hassani, Aicha"
Sort by:
Solid–Liquid Equilibria of Binary Systems Containing Amines: Experimental Data and Prediction with DISQUAC and UNIFAC Models
Group contribution models can be used to predict the thermodynamic properties. The basic data used to determine the interaction parameters are VLE, HE and infinite dilution activity coefficient data. However in the absence of the required data, SLE measurements of eutectic systems are of great interest for fitting interaction parameters of group contribution methods. The knowledge of solid–liquid equilibria (SLE) of binary mixtures is essential for the design and development of separation process involving crystallization. In the present study, experimental SLE of binary mixtures containing N,N-dimethylaniline, diethylamine, cyclohexylamine, n-alkanes, and cyclohexane were measured by a static method of direct thermal analysis, using an apparatus derived from that of Smit. The experimental data obtained with this technique are compared with those predicted by Group contribution models: Mod. UNIFAC (Do) and DISQUAC models. The liquid-phase activity coefficients were also calculated. The experimental results illustrated that these systems showed a eutectic behavior, and a good agreement is obtained between experimental and predicted SLE. The use of the new c-CHNH2 group instead of the CHNH2 group in the modified UNIFAC Dortmund model showed excellent results.
Minerals, Essential Oils, and Biological Properties of Melissa officinalis L
This study describes the minerals elements, chemical composition, antioxidant and antimicrobial activities of Algerian Melissa officinalis plant. The essential oil (EO) was extracted by hydrodistillation (HD) using a Clevenger-type apparatus of dry leaves of M. officinalis and was analyzed by two techniques, gas chromatography coupled with flame ionization (GC-FID) and gas chromatography coupled with mass spectrometry (GC-MS). Eighteen minerals comprising both macro- and microelements (As, Br, K, La, Na, Sb, Sm, Ba, Ca, Ce, Co, Cr, Cs, Fe, Rb, Sc, Th, and Zn) were determined using neutron activation analysis technique for the first time from Algerian Melissa officinalis plant. Seventy-eight compounds were identified in the essential oil, representing 94.090% of the total oil and the yields were 0.470%. The major component was geranial (45.060%). Other predominant components were neral (31.720%) and citronellal (6.420%). The essential oil presented high antimicrobial activity against microorganisms, mainly five human pathogenic bacteria, one yeast, Candida albicans, and two phytopathogenic fungi. The results can be used as a source of information for the pharmaceutical industry and medical research.
Dual amylase/glucosidase inhibition, antilipolytic and antiproliferative potential of the aerial parts of Pistacia atlantica, Pistacia lentiscus and Pistacia terebinthus on a obesity related-colorectal cancer cell line panel
( ) have been used as a treatment for various diseases, including diabetes and inflammation. This study aimed to identify the main components of flavonoids in and evaluate the effect of aqueous extracts of on pancreatic enzymes and on cancer cells associated with obesity in colon and rectum. HPLC was used to identify the major components of flavonoids. The potent inhibitory effect of against pancreatic α-amylase, α-glucosidase and lipase was examined. The antiproliferative efficacy of the plant extract against several colorectal cancer cell lines were then measured. The main flavonoids component found in are quercetin-3-β-D-glucoside, rutin, kaempferol and vitexin. The starch blockade IC (µg/mL) of in a descending order were: leaves: 1.09±0.01; leaves: 0.96±0.09 and fruits: 0.48±0.02. exerted promising inhibition effect for pancreatic lipase (PL). Besides the aglycones of leaves, all the tested aqueous extracts exerted appreciably novel antiproliferative activity against the tested colorectal cancer cell lines. This study provides useful indication for the Pistacia species as a potential novel therapeutic agent against diabesity and cancer.
Parametric and kinetic modeling, chemical composition, and comparative analyses of Algerian Mentha pulegium L. essential oil extracted from flowers and leaves by hydrodistillation
Mentha pulegium L. is a plant with numerous health benefits that is utilized in traditional Algerian medicine. The objective of the current study was to analyze the chemical compositions of the essential oils produced by the M. pulegium flower and leaf parts after identifying the best hydrodistillation operating parameters and modeling the kinetic extraction. According to parametric tests, first order extraction kinetics result in yields of 1.7±0.06% (w/w) for leaves through 60 minutes and 4.00±0.10% (w/w) for flowers through 30 minutes. Five compounds were found in flowers, whereas 16 compounds were found in leaves. For leaves, a total of 15 constituents accounting for 100% of the oil were found; for flowers, a total of 5 constituents accounting for 100% of the oil were found. Predominance of oxygenated monoterpenes, such as pulegone (53.09%), menthol (12.53%), and neoisopulegol (5.7%) was determined in leaves, respectively pulegone (83.40%), isopulegylacetate (7.98%), and menthol (3.63%) in flowers. The results indicate that the experimental conditions used provided good yields in the extraction of essential oils, particularly from mint blossoms via hydrodistillation. As a result, there are options for lowering the time and energy required for mint oil extraction while still producing a high-quality product.
Biological properties and polyphenols content of Algerian Cistus salviifolius L. aerial parts
This study evaluated the in vitro antioxidant properties, antibacterial and antifungal activities and in vivo anti-inflammatory properties, and identifying the phenolic compounds in Cistus salviifolius. The methanolic leaf extract showed the highest antioxidant activity with 6.1±1.60 µg/ml IC50 value using DPPH· and 55.5±0.20 µg/ml using Reducing Power Activity. The study revealed that the butanolic leaf extract and the aqueous leaf infusion exhibited the strongest growth-inhibiting effect against all Gram positive and Gram negative strains tested, respectively, whereas the methanolic leaf extract showed the strongest antifungal activity against the yeast tested. The MIC value for the butanolic leaf extract was 4 mg/ml against Staphylococcus aureus, Bacillus subtilis and Escherichia coli. The pharmacotoxicological tests proved the safety of the aqueous leaf infusion, which exhibit a moderate anti-inflammatory effect, with a significant inhibition of the oedema development equal to 44.7% compared to 59.3% for the reference product diclofenac sodium. Methanolic extracts of the leaf and flower buds showed varied contents of polyphenols, flavonoids, and hydrolysable tannins; which were 228.4+11.4 mg GAE/g, 34.2+0.6 mg QE/g, and 36.9+2.6 mg TAE/g of the dry weight for leaves; and 241.1+5.4 mg GAE/g, 47.6+4.5 mg QE/g, and 22.0+1.3 mg TAE/g of the dry weight for flower buds, respectively. Analysis of the ethereal and butanolic leaf extracts using Reversed Phase High Performance Liquid Chromatographic Method coupled with a Photodiode-Array Detector identified thirteen phenolic compounds, including ascorbic acid, vanillic acid, gallic acid, quercetin, and orientin.
Incidents Prediction in Road Junctions Using Artificial Neural Networks
The implementation of an incident detection system (IDS) is an indispensable operation in the analysis of the road traffics. However the IDS may, in no case, represent an alternative to the classical monitoring system controlled by the human eye. The aim of this work is to increase detection and prediction probability of incidents in camera-monitored areas. Knowing that, these areas are monitored by multiple cameras and few supervisors. Our solution is to use Artificial Neural Networks (ANN) to analyze moving objects trajectories on captured images. We first propose a modelling of the trajectories and their characteristics, after we develop a learning database for valid and invalid trajectories, and then we carry out a comparative study to find the artificial neural network architecture that maximizes the rate of valid and invalid trajectories recognition.
Characterization of the polymorph changes in Trimethoprim
Polymorphic transformation in Trimethoprim (TMP) drug has been studied employing differential scanning calorimetry (DSC), TG/DSC, X-ray diffraction and FTIR techniques. To obtain a better understanding of the thermal events for the TMP polymorphs, a series of increasing heating rates and different mass were used. DSC of the Trimethoprim indicated that the as-received sample was crystalline (Form A). The molten Trimethoprim on cooling, however, produced a glassy amorphous mass. The sample obtained after heating at 100 °C for 1 h transformed to Trimethoprim (Form B).The glass transition observed in the second heating at 61 °C was followed by crystallization of the product at 81 °C. Form B of this study is probably a novel TMP polymorph.
Contribution to Synchronization and Tracking Modelisation in a CDMA Receiver
We propose and analyze a noncoherent receiver with PN code tracking for direct sequence code division multiple access (DS-CDMA) communication systems. We employ the delay-lock loop (DLL) architectures for the tracking stage. The choice of DLL parameters is studied with special focus on DS-CDMA communication systems and orthogonality conditions. We described the modeling and simulation of the NCO using hardware description language VHDL. Details of the VHDL implementation are shown.
HPLC–DAD Analysis, Antimicrobial and Antioxidant Properties of Aromatic Herb Melissa officinalis L., Aerial Parts Extracts
In order to enhance natural products value, Melissa officinalis (lemon balm) aerial part (leaves) has been studied in this work. Hence, the objective of this study is to determine the chemical composition of the studied plant polyphenols extracts using HPLC/DAD, as well as evaluate their flavonoid extracts’ antioxidant and antimicrobial activities using DPPH• and disk diffusion methods, respectively. The results of phenols chemical composition showed the existence of two phenolic acids, five flavonic aglycones and six heterosides, while the biologic results of the plant flavonoid extracts exhibited the existence of a good antioxidant and antimicrobial activities.
Assessment of the contents of essential and potentially toxic elements in Pistacia terebinthus L. and Pistacia lentiscus L. by INAA technique
Pistacia terebinthus L. and Pistacia lentiscus L. leaves are widely used in Algerian folk medicine. For the first time, P. terebinthus and P. lentiscus leaves, were subjected to determine their essential and toxic elements using instrumental neutron activation analysis (INAA). P. terebinthus and P. lentiscus leaves were collected from two different locations in Algeria and exposed to INAA analysis. The results show that the mass fractions of the sixteen trace elements studied are within the tolerance limits imposed by the World Health Organization. Hence these results could therefore be used to provide scientific basis for an optimum usage and enriches the database of medicinal herbs.