12 research outputs found

    Dual phase role of composite adsorbents made from cockleshell and natural zeolite in treating river water

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    In this study, the potential of dual-phase composite adsorbent to determine the removal efficiency of organic compounds such as COD, BOD, TP, and TN was investigated. The combination ratio of cockleshell and natural zeolite was optimized using D-optimal mixture design (DMD). The generated ratio was tested using run test in Easy Care PipeSystem (ECPS). Breakthrough curve was plotted to determine the total removal by composite adsorbent. In addition, linearization of the breakthrough curve by dynamic models was implemented to characterize the adsorption process by the composite adsorbent in ECPS column model. The linearization of breakthrough curve was done using mathematical models, Adam-Bohart, Yoon-Nelson and Thomas model. It was found that the optimal mixture ratio was at 75% cockleshells and 25% natural zeolite. Based on the experiments, the composite adsorbent showed high tendency to higher removal by 90% of targeted value. Based on the results, the composite adsorbent was fitted better with Yoon-Nelson and Thomas model rather than Adam-Bohart model. The generated models were able to characterize the adsorption process using composite adsorbent in the ECPS column system

    Basic science232. Certolizumab pegol prevents pro-inflammatory alterations in endothelial cell function

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    Background: Cardiovascular disease is a major comorbidity of rheumatoid arthritis (RA) and a leading cause of death. Chronic systemic inflammation involving tumour necrosis factor alpha (TNF) could contribute to endothelial activation and atherogenesis. A number of anti-TNF therapies are in current use for the treatment of RA, including certolizumab pegol (CZP), (Cimzia ®; UCB, Belgium). Anti-TNF therapy has been associated with reduced clinical cardiovascular disease risk and ameliorated vascular function in RA patients. However, the specific effects of TNF inhibitors on endothelial cell function are largely unknown. Our aim was to investigate the mechanisms underpinning CZP effects on TNF-activated human endothelial cells. Methods: Human aortic endothelial cells (HAoECs) were cultured in vitro and exposed to a) TNF alone, b) TNF plus CZP, or c) neither agent. Microarray analysis was used to examine the transcriptional profile of cells treated for 6 hrs and quantitative polymerase chain reaction (qPCR) analysed gene expression at 1, 3, 6 and 24 hrs. NF-κB localization and IκB degradation were investigated using immunocytochemistry, high content analysis and western blotting. Flow cytometry was conducted to detect microparticle release from HAoECs. Results: Transcriptional profiling revealed that while TNF alone had strong effects on endothelial gene expression, TNF and CZP in combination produced a global gene expression pattern similar to untreated control. The two most highly up-regulated genes in response to TNF treatment were adhesion molecules E-selectin and VCAM-1 (q 0.2 compared to control; p > 0.05 compared to TNF alone). The NF-κB pathway was confirmed as a downstream target of TNF-induced HAoEC activation, via nuclear translocation of NF-κB and degradation of IκB, effects which were abolished by treatment with CZP. In addition, flow cytometry detected an increased production of endothelial microparticles in TNF-activated HAoECs, which was prevented by treatment with CZP. Conclusions: We have found at a cellular level that a clinically available TNF inhibitor, CZP reduces the expression of adhesion molecule expression, and prevents TNF-induced activation of the NF-κB pathway. Furthermore, CZP prevents the production of microparticles by activated endothelial cells. This could be central to the prevention of inflammatory environments underlying these conditions and measurement of microparticles has potential as a novel prognostic marker for future cardiovascular events in this patient group. Disclosure statement: Y.A. received a research grant from UCB. I.B. received a research grant from UCB. S.H. received a research grant from UCB. All other authors have declared no conflicts of interes

    Development of microbial biofilms on cellulosic fibers for organic matter removal in river water treatment

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    The present study focuses on the usage of natural cellulosic fibers like coconut fibers (CF) and oil palm fibers (OPF) as an organic substrate for biofilm formation in removing pollutants as opposed to numerous studies that utilized non-organic substrates like plastic and synthetic membrane. The corresponding adsorption ability was tested toward the organic matters (OM) removal in the contaminated river water. The experimental results showed that CF and OPF possessed a higher concentration of phenolic and alcoholic hydroxyl groups by hydrogen bonds have led to a thinner extracellular polymeric substance being formed. The rate at which OM is removed for biofilm attached on coconut fiber (BCF) and biofilm attached on oil palm fiber (BOPF) were identified to be 94.07% and 87.01%, respectively. At 3% outflow, the global mass transfer rate BCF and BOPF were 1.01 and 0.84 d–1. Further to that, the internal mass transfer was found to have an effective diffusivity of pollutants to biofilm. Yet, the mass transfer decreases with the decrease of OM concentration in water. Therefore, it is evident that natural cellulosic fibers are highly effective alternative carriers that can be used for biofilm growth in removing excess concentration of OM in river water

    A novel surfactant molecular design with optimal performance, safety and health aspects for laundry detergent

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    Surfactants are one of the main ingredients in laundry detergent formulation used to improve the wetting ability of water, loosens and removes oil with the aid of wash action. Sodium lauryl sulfate (SLS) and diethanolamine (DEA) are two examples of chemicals used as surfactants in laundry detergents. Exposure to SLS and DEA has the potential to cause skin and eye irritation. In this study, surfactant candidates were designed by using Computer-aided Molecular Design (CAMD) tools with the integration of safety and health properties. The CAMD start with problem formulation, followed by model development, molecular design, optimization model and performance analysis. The important surfactant properties such as critical micelle concentration (CMC), hydrophilic-lipophilic balance (HLB) and molecular weight (MW) were considered. The safety and health properties of surfactant candidates are assessed using index-based methodology. The surfactant candidates with optimum property functionality, safety and health performance are presented. The potential surfactant candidate, 1-aminomethyl-2,3,4,5,6-pentamethylnonane-1,8-diol is suggested to be implemented into in the laundry detergent formulation as it offers lower CMC (0.00228 mol/L) and minimum safety and health risks (total index score of 6) to consumers

    Wasted cockle shell (Anadara granosa) as a natural adsorbent for treating polluted river water in the fabricated column model (FCM)

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    Abstract: The potential use of crushed cockle shells (Anadara granosa) for treating polluted river water in the fabricated column model was investigated along with the determination of the optimum amount of A. granosa used in the fabricated column model based on the results obtained from the series of jar test experiments performed during the study. The result shows that the crushed cockle shell could reduce chemical oxygen demand with the adsorption capacity of 5.3191 mg g−1. Moreover, based on adsorption isotherm, it is shown that the adsorption data best fitted for Freundlich (R2= 0.9798) when compared to Langmuir isotherm (R2= 0.5737). The breakthrough curves plotted based on the data obtained from fabricated column model experiment indicates that the exhaustion time of crushed cockle shell was on the third day. The linearization of breakthrough curves based on Thomas model, Yoon–Nelson model, and Adam–Bohart model, shows that the curves best fitted with Adam–Bohart model, since the value of R2 was higher compared to the other models tested during the experiment
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