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In this paper, new magnetic chitosan‐salicylaldehyde Schiff base (ChS@Fe2O3) was prepared and characterized by FT‐IR, DSC, XRD, VSM and SEM and utilized as an efficient sorbent for the removal of Pb(II) and Cd(II) ions from aqueous solution. Moreover, the effect of solution pH, Pb(II) and Cd(II) initial concentration, adsorbent dosage and contact time on the adsorption process was examined thoroughly and optimized. Also, the adsorbent reusability and adsorption mechanism were studied. The sorption capacity of Pb(II) and Cd(II) ions at optimum condition was found to be 135.8 and 114.8 mg/g, respectively. The adsorption efficiency of ChS@Fe2O3 remained above 88 and 72%, respectively for Pb(II) and Cd(II) ions. Finally, antibacterial activities evaluation of ChS@Fe2O3 were conducted against S. aureus, B. cereus, E. coli and P. aeruginosa bacteria strains. The results exhibited the high activity against all bacteria strains.

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This paper presents the first quantitative ethnobotanical study of the flora in the semi-arid region in the southwest part of Algeria. The aim of this ethnobotanical survey in the region of El Bayadh situated in the semi-arid part of Algeria was to identify the main medicinal plants used by the local inhabitants to treat different diseases and to collect all the data on their therapeutic characteristics. One hundred informants of different ages were interviewed for this study (69 women and 31 men). Both quantitative and qualitative information were collected through open semi-structured face-to-face interviews with the local people. Data were organized and analyzed by descriptive statistics. The ethnobotanical data were analyzed using various important quantitative indices calculated for each of the recorded medicinal plant species like use value (UV), relative frequency of citation (RFC), relative importance index (RII), informants’ agreement ratio (IAR), informant consensus factor (ICF), fidelity level (FL), and family importance value index (FIV). In addition, a correlation analysis was performed to check the level of association between RFC and both UV and RII. It was reported that 44 useful plant species, belonging to 26 botanical families were used in the treatment of various diseases. The Asteraceae family was the most common family (6 species, 13.64%, FIV = 0.94) of all the medicinal plants recorded in this study. Leaves were the most commonly used plant part, accounting for 50.77% of the plants reported. Eighty-three diseases were identified and grouped into eleven categories, dominated by diseases of the nervous system and sensory organs (ICF = 0.94), which were treated with local medicinal plants. There is a clear dominance of Artemisia herba alba Asso. (Chih) in the three important ethnobotanical indices (UV, RFC, and RII).We found in this study five plant species having maximum fidelity level (100%) where they were used to treat only one disease. The Pearson correlation coefficient between RFC and UV (0.986**), and between RFC and RII (0.713**) showed highly positive significant association between RFC and both UV and RI of plant use in the study area. We deduce that herbal medicine is used in selfmedication of the local population; however, we also draw attention to the fact that the incoherent and limitless use of the medicinal flora constitutes a potential risk contributing to the degradation of the plant biodiversity of the area of study. These results may complement the database of the national medicinal flora and support research in phytochemistry and pharmacology to discover new drugs and approve ethnomedicinal knowledge.

In this work, a novel structure of an all-optical biosensor based on glass resonance cavities with high detection accuracy and sensitivity in two-dimensional photon crystal is designed and simulated. The free spectral range in which the structure performs well is about FSR = 630 nm. This sensor measures the concentration of glucose in human urine. Analyses to determine the glucose concentration in urine for a normal range (0~15 mg/dL) and urine despite glucose concentrations of 0.625, 1.25, 2.5, 5 and 10 g/dL in the wavelength range 1.326404~1.326426 μm have been conducted. The detection range is RIU = 0.2 × 10−7. The average bandwidth of the output resonance wavelengths is 0.34 nm in the lowest case. In the worst case, the percentage of optical signal power transmission is 77% with an amplitude of 1.303241 and, in the best case, 100% with an amplitude of 1.326404. The overall dimensions of the biosensor are 102.6 µm2 and the sensitivity is equal to S = 1360.02 nm/RIU and the important parameter of the Figure of Merit (FOM) for the proposed biosensor structure is equal to FOM = 1320.23 RIU−1.