Primary water stress corrosion cracking inspection ranking scheme for alloy 600 components

The Palisades nuclear plant has developed a comprehensive inspection program to support safe, reliable, and cost-effective operation of all Alloy 600 nozzles and safe ends in the primary coolant system (PCS). As a part of the Palisades Alloy 600 Project, an inspection prioritization scheme was developed to help the plant focus its resources on high-risk components and plan appropriate inspection activities for the other components. The inspection prioritization scheme is based on the susceptibility of the components to primary water stress corrosion cracking (PWSCC), component failure consequences, component leak detectability and component radiation exposure. The scheme provides a simple, systematic and technical base for selecting Alloy 600 components for inspection. The scheme, however, could be used to develop an inspection schedule or to select the highest priority components for mitigation or replacement.     

Removal of organics in water using hydrogen peroxide in presence of ultraviolet light

The optimum conditions for the removal of dissolved organic impurities from water using hydrogen peroxide (50%) followed by ultraviolet irradiation were investigated. The photochemically initiated hydroxyl radical (OH) oxidation reduced the total organic carbon (TOC) content of distilled water samples by about 88% and of tap water by 98%. Extraction with hexane of equal volumes of water samples before and after H₂O₂/u.v. treatment followed by gas chromatographic analysis of the concentrated extracts indicated that about 12% of the electron-capturing, residual organics remained after this treatment. These results support the conclusion drawn from total organic carbon analysis that this simple method yields water nearly free of organic impurities.     

Synthesis and characterisation of poly(N-4'-fluorophenylmethacrylamide)

Summary The monomer, N-4'-fluorophenylmethacrylamide (FPMA) was polymerized for the first time using benzoyl peroxide as the initiator. The IR and NMR spectra of FPMA and the polymer, poly(N-4'-fluorophenylmethacrylamide) (PFPMA) are discussed. Viscosity measurements of PFPMA was carried out in dimethylformamide medium at 25°C. The number average molecular weight of PFPMA was determined to be 690 using vapour pressure osmometer. The formation of low molecular weight of PFPMA is explained on the basis of intermolecular hydrogen bonding in the monomer.     

Purification and kinetic characterization of polyphenol oxidase from Barbados cherry (Malpighia glabra L.)

Polyphenol oxidase (PPO) of Barbados cherry was extracted and purified through ammonium sulfate precipitation, gel filtration, and affinity chromatography. The purification factor for PPO was 60% with 8.3% yield. The enzyme was characterized for thermal stability, pH and kinetic parameters. The molecular mass of PPO was approximately the sum of 52 and 38 kDa estimated by SDS–PAGE. The purity was checked by native PAGE, showing a single prominent band. The optimum pH was 7.2. The enzyme had a temperature optimum at 40 °C and was relatively stable at 60 °C, with 55% loss of activity. Sodium diethyl dithiocarbamate (SDDC), l-cysteine and ascorbate significantly inhibited PPO activity. 4-Methyl catechol and catechol were found to be efficient diphenolic substrates for cherry PPO, considering the _Vmax/_Km$V_{\text{max}}/K_{\mathrm{m}}$ ratio. The data obtained in this study may help to understand cherry fruit browning.     

Comparison of different mixing phenomena in anaerobic digestion using food waste and sewage treatment plant for green biofuel through simulations of velocity contours

Three-dimensional computational fluid dynamics models have been developed for the comparison of diffuser-based biogas recirculation and impeller mixed anaerobic reactors with unmixed reactors for food waste co-digested with sewage treatment plant sludge for enriched with 60–73% of biogas. Enhanced biogas yield was observed in diffuser mixing, intensity of 2 L/min (0.28–1.180 L/g VSr), compared to impeller mixing of 200 rpm. pH of 5.94 from the feed slurry pH range of 7.0–8.4 shows sheathe-broken microbial SEM structure.     

Dark fermentative biohydrogen production by Acinetobacter junii-AH4 utilizing various industry wastewaters

Hydrogen (H₂) is one of the most promising renewable energy sources, anaerobic bacterial H₂ fermentation is considered as one of the most environmentally sustainable alternatives to meet the potential fossil fuel demand. Bio-H₂ is the cleanest and most effective source of energy provided by the dark fermentation utilizing organic substrates and different wastewaters. In this study, the bio-H₂ production was achieved by using the bacteria Acinetobacter junii-AH4. Further, optimization was carried out at different pH (5.0–8.0) in the presence of wastewaters as substrates (Rice mill wastewater (RMWW), Food wastewater (FWW) and Sugar wastewater (SWW). In this way, the optimized experiments excelled with the maximum cumulative H₂ production of 566.44 ± 3.5 mL/L (100% FWW at pH 7.5) in the presence of Acinetobacter junii-AH4. To achieve this, a bioreactor (3 L) was employed for the effective production of H₂ and Acinetobacter junii-AH4 has shown the highest cumulative H₂ of 613.2 ± 3.0 mL/L, HPR of 8.5 ± 0.4 mL/L/h, HY of 1.8 ± 0.09 mol H₂/mol glucose. Altogether, the present study showed a COD removal efficiency of 79.9 ± 3.5% by utilizing 100% food wastewater at pH 7.5. The modeled data established a batch fermentation system for sustainable H₂ production. This study has aided to achieve an ecofriendly approach using specific wastewaters for the production of bio-H₂.     

Preparation and characterization of cellulose-based nanocomposite hydrogel films containing CuO/Cu2O/Cu with antibacterial activity

In the present study, the influence of citric acid (CA) on hydrogel films composed of sodium carboxymethylcellulose (NaCMC), hydroxypropylmethylcellulose (HPMC), and CuO nanoflakes was investigated for their physicochemical, mechanical, thermal, and antibacterial properties. XRD patterns showed that the prepared hydrogel films revealed the crystalline phase for CuO/Cu₂O/Cu at 20% CA concentration. Laser micro-Raman spectroscopy confirmed the presence of CuO and Cu₂O in the films. Increase in CA concentration decreased the swelling degree and tensile strength and increased the decomposition temperature of NaCMC, HPMC, and CuO. According to FESEM and FETEM results, shape and size of CuO nanoflakes were completely changed into spherical nanoparticles with increase in CA concentration. HRTEM and inverse Fourier transform images showed that the d-spacing of CuO, Cu₂O, and Cu were correlated with XRD results. The prepared hydrogel films exhibited significant antibacterial activity and biocompatibility against HaCaT cells. All these data recommend that the prepared hydrogel films may be used for potential wound healing applications.     

Cluster head selection for energy efficient and delay-less routing in wireless sensor network

Wireless sensor network (WSN) is comprised of tiny, cheap and power-efficient sensor nodes which effectively transmit data to the base station. The main challenge of WSN is the distance, energy and time delay. The power resource of the sensor node is a non-rechargeable battery. Here the greater the distance between the nodes, higher the energy consumption. For having the effective transmission of data with less energy, the cluster-head approach is used. It is well known that the time delay is directly proportional to the distance between the nodes and the base station. The cluster head is selected in such a way that it is spatially closer enough to the base station as well as the sensor nodes. So, the time delay can be substantially reduced. This, in turn, the transmission speed of the data packets can be increased. Firefly algorithm is developed for maximizing the energy efficiency of network and lifetime of nodes by selecting the cluster head optimally. In this paper firefly with cyclic randomization is proposed for selecting the best cluster head. The network performance is increased in this method when compared to the other conventional algorithms.