Medical Waste Treatment via Waste Electrospinning of PS

Body fluid medical wastes are infectious clinical wastes (blood, saliva, urine) due to their high pathogenic content. Incineration is the most commonly used method in waste management that possess high water content along with molecularly dissolved species such as proteins. The process is costly; so that the removal of solid content dissolved in aqueous part by preliminary filtration can reduce the volume of the waste material. In this study, fibrous mats were prepared by electrospinning of PS wastes from DMF and THF solutions. Then they are employed in the removal of protein-based solid contents of body fluid medical wastes before their disposal. Two sources of PS waste (CD cover and Styrofoam) were employed along with virgin PS for comparison. The adsorption capacity of as-prepared electrospun fibers was examined for three model proteins: Bovine Serum Albumin (BSA), Myoglobin (MYO), and Trypsin (TRY). The fibers obtained from PS CD wastes have remarkably larger protein sorption capacities (particularly BSA) than the fibers obtained from virgin PS. XPS reveals the presence of CaCO₃ domains in CD covers added into PS during their production steps probably to increase mechanical properties. There may be an electrostatic interaction between Ca²⁺ and the negatively charged groups of the protein. In this way, PS wastes could be converted to a beneficial secondary product by electrospinning and also resulting materials promises for the disposal of body fluid medical wastes. This may be one of the frontiers study on the removal of medical wastes by adsorbents produced via electrospinning of waste polymers.     

Environmentally benign alternatives: Plasma and enzymes to improve moisture management properties of knitted PET fabrics

Effects of enzymatic and atmospheric plasma treatments individually and their combinations on knitted PET fabrics were investigated in terms of hydrophilicity, surface modification and moisture management properties. Cutinase from Humicola Insolens, lipase from Candida SP and atmospheric plasma with air and argon gases were applied to PET fabrics. To evaluate results, moisture management tester (MMT) and scanning electron microscopy (SEM) were utilized. Wicking heights of samples were measured by wicking test method. Improved moisture management properties were observed with environmentally benign processes compared to the untreated ones. Especially combined treatments have given the same or slightly better results than those of conventional alkaline treatments. Fabrics treated with plasma and then followed by enzymatic incubations have significantly improved the wetting time, absorption rates and spreading speed results.     

Proteome profiling of the compatible interaction between wheat and stripe rust

Over the last decade, comparative molecular profiling studies between compatible and incompatible plant-pathogen interactions have shown that susceptible response of the host to a pathogen requires factors that promote disease development. In this study, we examined proteome profiles during a compatible interaction between wheat and stripe rust. A 2D-LC system (ProteomeLab PF2D) was used for protein separation and to compare the proteome from infected and control samples. More than 700 protein peaks at each time point were compared between pathogen- and mock-inoculated samples. Selected proteins, with significant differences in abundance were identified by nanoLC-ESI- MS/MS and generated spectra were searched against the wheat protein databases from UniProt, and NCBI and the Puccinia database from The Broad Institute. In total, the identified proteins comprised of 62 % wheat and 38 % Pst proteins. All identified proteins were searched by bioinformatics-based algorithms to detect their subcellular localization and signal peptide motifs which have the potential to catch the candidate effector proteins. The wheat proteins were classified based on their function. Although a compatible interaction, many wheat proteins, such as antioxidants, PRs and cold-responsive proteins, are implicated in defense and stress tolerance. On the pathogen side, 64 proteins were identified, and included some important pathogenicity proteins that can play role in pathogen virulence and suppress the host defense. In addition, we discovered that nine proteins have a signal sequence and three of the hypothetical fungal proteins, PGTG_11681T0, PGTG_07231T0 and CBH50687.1, have been tentatively identified as candidate effectors.     

Interaction Effect of Water Magnetization and Water Salinity on Yield,Water Productivity and Morpho-Physiological of Balkız Bean (Phaseolus vulgaris)

Developing new tools for using low-quality irrigation waters is vital for the sustainability of irrigated agriculture and minimizing salt accumulation. Therefore, the present study focused on the interactive influence of irrigation treatments (magnetized (MT) and non-magnetized (NMT)) and water salinities (0.38, 1.5, 4.5, and 7.0?dSm^?1) on soil salinity, water use efficiency, yield and morpho-physiological changes of Balk?z bean. A pot experiment was conducted in a randomized complete block design with three replications under the rain shelter condition. Irrigation water MT treatment increased fresh bean yield, water use efficiency (WUE) and irrigation water use efficiency (IWUE) by 21.35, 23.00 and 14.8%, respectively, while saturated soil salinity was reduced by 20%, compared to NMT treatments. The leaf area, stomata, and leaf succulence in green beans in the MT treatment significantly increased by 13.4, 23.9, and 3.3% compared with those in the NMT treatment. Stems of the bean crops were more sensitive to salinity stress followed by roots and leaves. The study revealed that irrigation with magnetically treated water manages salinity related yield loss through increased morphological features as well as osmotic and stomatal adjustments. In addition, the bean crops showed an ability to protect water in tissue against salinity toxicity up to 5.24?dSm^?1 soil salinity level under magnetized saline water conditions. Finally, irrigation with magnetically treated 0.38?dSm^?1 irrigation water can be recommended due to providing a higher yield, WUE, IWUE, and sustainable production under saline irrigation in water scarcity regions.

     

Changes in Phenolic Compounds Profile and Anthocyanin Content of cv. Cabernet Sauvignon (<Emphasis Type="Italic">V. vinifera</Emphasis> L.) Induced by Different Doses of Foliar Oak Applications with Urea

Phenolic compounds and anthocyanins had pivotal roles on wine grape quality. In order to enhance contents of these substances, several techniques have been applied to grapevines. In recent years, there has been an increasing concern about using of foliar oak applications for improving wine grape quality. In this study, it was used a low concentration (0.6%) of urea for increasing efficiency of different doses of oak applications. For this aim, it was benefited from different doses of foliar oak applications with or without urea, including: 0?ppm oak (Oa), 1250?ppm oak (Oa), 2500?ppm (Oa), 5000?ppm (Oa), 0?ppm oak (Oa)?+?0.6% Urea (Ur), 1250?ppm oak (Oa)?+?0.6% Urea (Ur), 2500?ppm oak (Oa)?+?0.6% Urea (Ur), 5000?ppm oak (Oa)?+?0.6% Urea (Ur). Although yield and wine grape quality characteristics were favorably affected by increasing doses of oak applications; urea added oak applications were especially found to be more effective for both characteristics. As a result, application of 5000?ppm oak (Oa)?+?0.6% Urea (Ur) led to best results in terms of yield and wine grape characteristics of cv. Cabernet Sauvignon.     

Design of Neural Network Predictor for the Physical Properties of Almond Nuts

In this study, an adaptive neuro fuzzy interface system (ANFIS) based predictor was designed to predict the physical properties of four almond types. Measurements of the dimensions, length, width and thickness were carried out for one hundred randomly selected samples of each type. With using these three major perpendicular dimensions, some physical parameters such as projected area, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio were estimated. In in a various Artificial Neural Network (ANN) structures, ANFIS structure which has given the best results was selected. The parameters analytically estimated and those predicted were given in the form of figures. The root mean-squared error (RMSE) was found to be 0.0001 which is quite low. ANFIS approach has given a superior outcome in the prediction of the Physical Properties of Almond Nuts.     

Evaluation of entomopathogenic nematodes and their combined application against Curculio elephas and Polyphylla fullo larvae

Journal of Pest Science - The larvae of Curculio elephas (Coleoptera: Curculionidae) and Polyphylla fullo (Coleoptera: Scarabaeidae) are major agricultural pests of chestnut and roots of cultivated...