Collection of Submicron Particles by Polyethylene Composite Materials Collector

2014 ◽  
Vol 919-921 ◽  
pp. 2030-2036
Author(s):  
Jing Cai Chang ◽  
Ai Ping Tao ◽  
Ming Feng Gao ◽  
Chun Yan Xu ◽  
Chun Yuan Ma
Keyword(s):  
Treatment Time ◽  
Collection Efficiency ◽  
Volume Resistivity ◽  
Submicron Particles ◽  
Effective Control ◽  
Water Addition ◽  
Gas Treatment ◽  
Drop Spreading ◽  
Addition Rate ◽  
The Relationship

Wet electrostatic precipitators (wet ESPs) are good options for effective control of PM2.5 emission. However, the common problems of uniform water film formed on rigid collector limited the applicability of typical wet ESPs, thus could be tend to cause "spark-over" and "back-corona". This research was designed to test the performance of the polypropylene fibrous as collection electrodes for PM2.5 control in wet ESP. Meanwhile, drop spreading feature and volume resistivity measurements of polypropylene fibrous collector were investigated. The results show that drop spreading existed in imbibitions experiments between hydrophobic fabrics contacted with water. The difference of spreading characteristics was accordance to the physical woven properties of fabrics. The relationship between the volume resistivity of polypropylene fibrous and the water addition rate has been investigated. The secondary current by polypropylene collection electrode was 5~20 percent higher than that by FRP. The average number collection efficiencies by polypropylene collector amounted to 89.21% for PM2.5 when the gas residence time was 1.33s at 60kV. The relationship between water addition rate and average number collection efficiency was not more regular than other factors such as gas treatment time or applied voltage.

Preparation of Ginger Oil in Water Nanoemulsion Using Phase Inversion Composition Technique: Effects of Stirring and Water Addition Rates on their Physico-Chemical Properties and Stability

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Ashraf Farshbaf-Sadigh ◽  
Hoda Jafarizadeh-Malmiri ◽  
Navideh Anarjan ◽  
Yahya Najian
Keyword(s):  
Particle Size ◽  
Phase Inversion ◽  
Antimicrobial Properties ◽  
Chemical Properties ◽  
Water Addition ◽  
Chromatography Method ◽  
Stirring Rate ◽  
Physico Chemical ◽  
Oil In Water ◽  
Addition Rate

Abstract Ginger oil in water (O/W) nanoemulsions, were produced using phase inversion composition method and Tween 80, as emulsifier. Effects of processing parameters namely, stirring rate (100 to1000 rpm) and water addition rate (1–10 mL/min) were evaluated on the physico-chemical, morphological, antioxidant and antimicrobial properties of the prepared O/W nanoemulsions using response surface methodology (RSM). Results indicated that well dispersed and spherical ginger nanodroplets were formed in the nanoemulsions with minimum particle size (8.80 nm) and polydispersity index (PDI, 0.285) and maximum zeta potential value (−9.15 mV), using stirring rate and water addition rate of 736 rpm and 8.18 mL/min, respectively. Insignificant differences between predicted and experimental values of the response variables, indicated suitability of fitted models using RSM. Mean particle size of the prepared nanoemulsion using optimum conditions were changed from 8.81 ± 1 to 9.80 ± 1 nm, during 4 weeks of storage, which revealed high stability of the resulted ginger O/W nanoemulsion. High antioxidant activity (55.4%), bactericidal (against Streptococcus mutans) and fungicidal (against Aspergillus niger) activities of the prepared nanoemulsion could be related to the presence of gingerols and shogaols, a group of phenolic alkanones, in the ginger oil, which those were detected by gas chromatography method.

Effect of Chlorine Dioxide Gas Treatment on Surface Sterilization of Grape

2011 ◽  
Vol 236-238 ◽  
pp. 2939-2944 ◽  
Author(s):  
Ri Ya Jin ◽  
Shuang Qi Hu ◽  
Zhi Chao Chi
Keyword(s):  
Chlorine Dioxide ◽  
Treatment Time ◽  
Reducing Sugar ◽  
Gas Treatment ◽  
Surface Sterilization ◽  
Log Reduction ◽  
Chlorine Dioxide Gas ◽  
Spoilage Bacteria ◽  
Effect Of Chlorine

Experiments were conducted to investigate the effect of concentration and duration of chlorine dioxide gas treatment on Surface sterilization of grape at 25°C. The results showed that the values of inactivate bacterial log reduction ofBotrytis cinerea,Penicilliumandalternariaincreased with the increasing of ClO2gas concentrations and treatment time. When the concentrations and treatment time was about 10 mg/m3and 30 minutes, respectively, more than 4 log reduction was obtained for the three spoilage bacteria on grape surface. Furthermore, the effect of chlorine dioxide gas treatment on quality of grape was investigated. It was found that the contents of vitamin C (Vc) and reducing sugar (RS) in grape also increased compared with grape without ClO2gas treatment.

Linear low-density polyethylene/silicone rubber nanocomposites

2017 ◽  
Vol 50 (1) ◽  
pp. 36-57 ◽  
Author(s):  
Nurul Hidayah ◽  
Mariatti Mustapha ◽  
Hanafi Ismail ◽  
Mohamad Kamarol
Keyword(s):  
Silicone Rubber ◽  
Performance Optimization ◽  
Small Variation ◽  
Volume Resistivity ◽  
Dielectric Strength ◽  
Low Density Polyethylene ◽  
Low Density ◽  
Linear Low Density Polyethylene ◽  
Content Type ◽  
The Relationship

This study determines the applicability of nanofillers (silica, boron nitride, and zinc oxide) in linear low-density polyethylene (LLDPE)/silicone rubber (SR) insulation compounds. Design of experiment is adopted to model the relationship between the properties (permittivity, loss tangent, dielectric strength, and volume resistivity) and factors (SR content, type of nanofiller, and nanofiller loading) for performance optimization. It is observed that SR content and type of nanofiller significantly influence the electrical properties of LLDPE/SR nanocomposites. Nanofiller loading, however, causes a small variation in the properties of the nanocomposites except for dielectric strength. From the optimization, it is found that the optimum formulation composition is 10 wt% of SR and 2 vol% of nanoboron nitride.

scholarly journals Improvement of Snowgauge Collection Efficiency through a knowledge of solid precipitation fallspeed

2021 ◽  
Author(s):  
Nicolas R. Leroux ◽  
Julie M. Thériault ◽  
Roy Rasmussen
Keyword(s):  
Wind Speed ◽  
Transfer Function ◽  
Transfer Functions ◽  
Collection Efficiency ◽  
Particle Diameter ◽  
Field Site ◽  
Solid Precipitation ◽  
Gauge Data ◽  
The Relationship ◽  
Measured Particle

AbstractThe collection efficiency (CE) of a typical gauge-shield configuration decreases with increasing wind speed, with a high scatter for a given wind speed. The scatter in the CE for a given wind speed arises in part from the variability in the characteristics of falling snow and atmospheric turbulence. This study uses weighing gauge data collected at the Marshall Field Site near Boulder, Colorado during the WMO Solid Precipitation InterComparison Experiment (SPICE) to show that the scatter in the collection efficiency can be reduced by considering the fallspeed of solid precipitation particle types. Particle diameter and fallspeed data from a laser disdrometer were used to arrive at this conclusion. In particular, the scatter in the CE of an unshielded snow gauge and a single Alter shield snow gauge is shown to be largely produced by the variation in measured particle fallspeed. The CE was divided into two classes depending on the measured mean-event particle fallspeed. Slower-falling particles were associated with a lower CE. A new transfer function (i.e. the relationship between CE and other meteorological variables, such as wind speed or air temperature) that includes the fallspeed of the hydrometeors was developed. The RMSE of the adjusted precipitation with respect to a weighing gauge placed in a Double Fence Intercomparison Reference was lower than using previously developed transfer functions. This shows that the measured fallspeed of solid precipitation with a laser disdrometer accounts for a large amount of the observed scatter in weighing gauge collection efficiency.

scholarly journals Knowledge, adherence to the treatment and prevalence of neuropathy in patients with type 2 diabetes mellitus

2018 ◽  
Vol 7 (6) ◽  
pp. 1
Author(s):  
Concepción Meléndez Méndez ◽  
Rosalinda Garza Hernández ◽  
Juana Fernanda González Salinas ◽  
Ma de los Ángeles Fang Huerta ◽  
Ma del Socorro Rangel Torres ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Treatment Time ◽  
Health Sector ◽  
Middle Level ◽  
Level Of Knowledge ◽  
The Mean ◽  
The Relationship

Objective: Identify the level of knowledge, adherence and prevalence of diabetic neuropathy (NPD), determine the relationship between knowledge, adherence to treatment, time to suffer from the disease and the NPD in patients with type 2 diabetes mellitus who attend to control in four units of the health sector in Tampico and Cd. Madero Tamaulipas. To describe the sociodemographic characteristics of the patients with type 2 diabetes mellitus that attend control in four units of the health sector in Tampico and Cd. Madero Tamaulipas.Methods: Descriptive cross-sectional correlational study performed on a sample of 554 patients with type 2 diabetes mellitus who attended to control their disease in four health sector units in Tampico and Cd. Madero, Tamaulipas, the type of sampling was non-probabilistic for convenienceResults: 554 patients were surveyed, the mean age was 55 years, the mean time of diagnosis of type 2 diabetes mellitus was 10 years, 61.9% were women, 62.8% were married, 34.5% were primary and 89.5% were belonged to the lower class. The level of knowledge was insufficient in 74% of the patients, the reported adherence was 75% in the middle level and the NPD prevalence in the period was 5.5, the relationship between knowledge and adherence and time of diagnosis was statistically verified prevalence of NPD.Conclusions: The results demonstrate the importance of education to patients since the knowledge of their disease contributes to the patient accepting and adhering to the treatment.

scholarly journals Removal of Particulate Matter in a Tubular Wet Electrostatic Precipitator Using a Water Collection Electrode

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Jong-Ho Kim ◽  
Hee-Jung Yoo ◽  
You-Seong Hwang ◽  
Hyeok-Gyu Kim
Keyword(s):  
Air Pollutants ◽  
Fine Particles ◽  
Electrostatic Precipitator ◽  
Collection Efficiency ◽  
Effective Control ◽  
Effective Technique ◽  
Acid Mist ◽  
Control Devices ◽  
Dust Precipitator ◽  
Wet Esp

As one of the effective control devices of air pollutants, the wet electrostatic precipitator (ESP) is an effective technique to eliminate acid mist and fine particles that are re-entrained in a collection electrode. However, its collection efficiency can deteriorate, as its operation is subject to water-induced corrosion of the collection electrode. To overcome this drawback, we modified the wet ESP system with the installation of a PVC dust precipitator wherein water is supplied as a replacement of the collection electrode. With this modification, we were able to construct a compact wet ESP with a small specific collection area (SCA, 0.83 m2/(m3/min)) that can acquire a high collection efficiency of fine particles (99.7%).

Flow-Cytometry MRD Evaluation in Children with ALL; Can MRD Level on Day 33 Serve As a Surrogate Marker for Relapse?

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2401-2401
Author(s):  
Maria Ampatzidou ◽  
George Paterakis ◽  
Konstantinos Tsitsikas ◽  
Stephanos I. Papadhimitriou ◽  
Vassilios Papadakis ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Probability ◽  
Treatment Time ◽  
Risk Group ◽  
Surrogate Marker ◽  
Prognostic Impact ◽  
Log Reduction ◽  
Kaplan Meier ◽  
The Impact ◽  
The Relationship

Abstract Treatment-response assessment via quantification of MRD has become a corner-stone for risk stratification in childhood ALL. Although MRD has been shown to retain independent prognostic significance, the relationship with other prognostic variables has been incompletely explored. Moreover, determination of the most reliable treatment time-point for FCM-MRD evaluation that would serve as the best surrogate marker in predicting relapse, is still an issue of debate. To determine the utility of sequential measurements of FCM-MRD, with specific emphasis on day 33 and its correlation with known prognostic factors and outcome, we retrospectively analyzed the results of FCM-MRD study/data of 825 bone marrow samples of 133 children with ALL, at different treatment time-points, during induction and early consolidation (days 15, 33, 78, week 22-24, at start and at the end of maintenance therapy). All patients were homogeneously treated on BFM-based protocols and prognostic groups were defined by sex, WBC, prednisone response, risk-group allocation, immunophenotype and ETV6/RUNX1-presence. We investigated: a) the relationship between relapse probability and known prognostic factors like age, sex, WBC, immunophenotype, prednisone-response, ETV6/RUNX1 translocation, CDKN2A/2B deletion, hyperdiploidy, protocol risk-group, MRD(constant variable) and MRD positivity(≥0.1% vs <0.1%)(Kaplan-Meier and lïgrank test), b) the correlation between MRD(+) and outcome (OS and EFS, Kaplan-Meier). Additionally, multivariable Cox-models were used to determine the impact of MRD and WBC, sex, age, prednisone-response, on OS and EFS. Patients with MRD≥0.1% at the end of induction (day 33) were estimated with 5-year RFS rates of only 60.0±12.8%, compared to MRD low(<0.1%)/negative patients that enjoyed superior 5-year RFS rates of 91.3±3.0%. Both days 15 and 33 of FCM-MRD positivity maintained a significant prognostic impact on the incidence of relapse within all subgroups. MRD(+)d15 and MRD(+)d33 detection combined, appeared to have a statistically significant impact on survival probability (RFS 65.9%±10.6, p<0.001). Additionally, FCM-MRD on day 33 was notably more strongly associated with used prognostic factors, while we were able to demonstrate that FCM-MRD log-reduction rates between days 15 and 33 can also be added as an important relapse prediction marker, apart from absolute MRD quantifications. In our study, MRD(+)d15 and MRD(+)d33 in combination, strongly and statistically significant correlated with survival probability. Additionally, we propose the FCM-MRD log-reduction rate between days 15 and 33 and end-induction evaluation(day 33) as better predictors of survival and relapse probability, than only day 15 FCM-MRD estimations. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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