Novel insecticide waterborne coating based on isoxazole benzene sulfonamide derivatives as insecticide agents

Purpose Paper aims to Preparation and evaluation of isoxazole benzene sulfonamide derivatives and incorporated it with waterborne household paints to develop coating compositions as an insecticidal coating against Musca domestica adults. Design/methodology/approach The synthesized compounds were prepared and confirmed by different analyzes, fourier transform infra-red (FTIR), mass, proton nuclear magnetic resonance (1HNMR) and Carbon 13 nuclear magnetic resonance (13CNMR) spectra. The prepared compound has been blended with waterborne household paint formulation, the physical and mechanical properties of the paint formulation has been studied. The efficiency of the isoxazole benzene sulfonamide derivatives when incorporated with waterborne paint against Culex quinquefasciatus and Mosquito house fly adults, also have been examined. Findings The obtained results of the paint formulations confirmed their best performance and providing good scrub resistance. Also, the finding promising results of the insecticide test of the paint formulation may be because of the biological activity of these compounds and containing sulfonamide, cyanide and free aromatic amine groups comparing with the standard recommended organophosphorus insecticide. The order activity increase with increasing the dose concentration of the isoxazole derivatives and the activity of chemical compounds itself is represented in terms of their medium lethal concentrations LC50 (LC90), which recorded 0.90(1.62), 0.89(1.61) and 0.86(1.56) g/ml for 5, 3 and 4 chemical compounds, respectively, after 72 h from treatment. Practical implications These types of organic compounds are friendly environmentally and can be used as a biocide with different types of paint formulations. Originality/value Insecticide waterborne household paints based on isoxazole benzene sulfonamide derivatives as insecticide agents are novel.

New coating formulation based on synthesized benzodiazepine derivatives as double function additives for industrial application

Purpose The purpose of this study is to develop a new protective coating formulation for industrial use, using benzodiazepine derivatives as double function additives. Design/methodology/approach Benzodiazepine’s derivatives of types (3–5) were prepared and confirmed by infrared, Mass, 1H-Proton nuclear magnetic resonance (NMR) and 13C NMR spectra. The synthesized compound was physically incorporated in the alkyd paint formulation by pebble mill grinding until all particulates are smaller than 20 ums. The prepared coatings were applied by air spray on steel panels. The physical, mechanical characteristics, corrosion resistance and antimicrobial test of the prepared coatings were studied to evaluate the prepared compounds drawbacks. Findings The results of the mechanical and physical properties of the paint formulation revealed that the paint formulation incorporating benzodiazepines derivatives 3–5 performed best and improved corrosion-resistance and antibacterial activity tests. Research limitations/implications In alkyd paint, heterocyclic compounds are the most used antibacterial additives. Other functionalities of these compounds, such as corrosion inhibitors, might be studied to see if they are suited for these applications. Practical implications Because of the activity of various benzodiazepine derivatives, which may be attributable to the presence of some function groups such as sulfonamide aromatic amino NH2 group, and elements such as Sulphur, Nitrogen, Chlorine, in its chemical structure. As a result, paint compositions including these compounds as additives can be used as dual-purpose paint and for a variety of industrial applications. Originality/value The research demonstrates how a low-cost paint composition based on synthesized benzodiazepine derivatives 3–5 may be used as a dual-function paint for industrial use.

The effect of SiO2 nanoparticles in polyurethane paint formulation on metal surfaces

Polyurethane (PU) paint is being widely used in industry and life. Currently, nanotechnology can create a variety of materials as small as nanometers with many applications, it has brought many outstanding properties to PU paint. The aim of this study is to investigate the effect of SiO2 nanoparticles in PU paint formulation on metal surfaces. We created a sample of two-component PU paint, part A is Desmophen A-160, Bentone 34, BYK 066, Disper 710S, Foamex N, Airex 900, TiO2, SiO2 nanoparticles, BaSO4, Cloparafin, Xylen, Thinner 132, Desmodur N75, and part B is a curing agent Desmodur N75. Methods of analyzing the properties of the PU paint film are based on Vietnam standards. The study results showed that SiO2 nanoparticles have increased the properties of the PU paint film, improving the Impact and Glossy of the PU paint film. SiO2 nanoparticles increase from 1% to 6% by weight, the Impact increased by about 21.62% (74 to 90 kg.cm), Glossy 600 increased by about 13.75% (80 to 91). SiO2 nanoparticles are a good coating substance in PU paint, it improves the properties of the paint film, it increases the Impact and Glossy for the paint film. The higher the rate of SiO2 nanoparticles, the better the properties of the PU paint film. Because the cost of nanomaterials is higher than that of normal coating materials, the nanomaterial should only be added with a ratio of about 2-4% by weight.

The effect of TiO2 Nanoparticles in Epoxy Paint Formulation on Metal Surfaces

Currently, epoxy paint is being widely used in the industry. Nanotechnology can create many small nanometer-sized materials with many applications, it has brought many outstanding properties to epoxy paints. The aim of this study is to investigate the effect of TiO2 nanoparticles in epoxy paint formulation towards metal surface. We created a sample of two-component epoxy paint, part A is epoxy resin, anti-sedimentation, dispersant substance, foam breaking agent, cover substance, solvent, other additives, and part B is a curing agent for epoxy resins. Methods of analyzing the properties of the epoxy paint film are based on Vietnam standards. TiO2 nanoparticles are a good coating substance in epoxy paint. The study results showed that TiO2 nanoparticles have increased the properties of the epoxy paint film, improving the Impact and Glossy of the epoxy paint film. TiO2 nanoparticles increases from 1% to 6% by weight, the impact increased by about 18.75%. (80 to 96 kg.cm), Glossy 600 increased by about 12.79% (80 to 97). Adding TiO2 nanoparticles to epoxy paint has increased Impact and Glossy for the paint film. The higher the rate of TiO2 nanoparticles, the better the properties of the epoxy paint film. Therefore, TiO2 nanoparticles are a good coating in epoxy paint, it improves the properties of the paint film. Because the cost of nanomaterials is higher than that of normal coating materials, the nanomaterial should only be added with a ratio of about 2-5% by weight.

UTILIZATION OF BINARY BLENDS OF LIQUID NATURAL RUBBER AND POLYVINYL ACETATE IN EMULSION PAINT

Studies were conducted on blends of liquid natural rubber (LNR) and polyvinyl acetate (PVAc).The two polymers were characterized based on their physicochemical properties, and used in paint production. Results obtained showed that viscometric measurement and density of the polymers did not differ much. Five paints of different compositions labeled; Paint 1 (100% PVAc), Paint 2 (100% LNR), Paint 3 (75% LNR: 25% PVAc), Paint 4 (50% PVAc: 50% LNR), and Paint 5 (25% LNR: 75% PVAc) using standard emulsion paint formulation and method of production were employed. The paint samples were subjected to quality test. Most of the emulsion paint showed good quality test when compared by the Standard Organisation of Nigeria (SON). Paint 1 had an excellent viscosity and adhesion when compared with Paint 2 and other samples. Also, Paint 5 recorded 22.0poise for viscosity and 0.68kgf for adhesion when compared with other paint blends. This shows that, emulsion paint formulated blends of LNR/PVAc with percentage composition 25% LNR; 75%PVAc exhibited best performance characteristics in terms of test conducted. The results suggest that LNR and PVAc are compatible as binders in emulsion paint production. Therefore, LNR/PVAc blends could be used as binder in the coating industry as an alternative to PVAc binder based emulsion paint.

Estimation of Rheological Properties of Ash Silicate Paints

Information provided on the color of paint coatings on the mortar substrate, depending on the type of pigment in accordance with the RAL color file. It is shown that presence of glycerin in the composition of the sol of silicate paint promotes an increase in the cohesive strength of coatings, an improvement in the filling of paint, and an improvement in the quality of the appearance of coatings. Information is given on the rheological properties of a silicate paint sol with the addition of glycerin depending on the pigment content. It has been established, that the introduction of glycerin into the paint formulation leads to an increase in the values of the critical volume concentration of the pigment (filler). A model for changing the viscosity of paint from a pigment volume concentration (filler) is proposed.

Development and Regression Modeling of Dirt Resistive Latex Façade Paint

A highly dirt-resistant paint for building façades without chemicals harmful to nature and the environment would resolve the unattractive disfigurement of building walls caused by dirt. The current ranking of Pakistan in terms of air pollution is 139th. A set of dirt-resistant paint formulae was constructed with the aid of computer programming. From this set, the best dirt-resistant paint formula was explored and identified. The final determination of the optimum formulation was based on statistically planned experiments conducted in the laboratory and in a natural environment. In order to achieve high-quality results, the best available laboratory equipment were used. The results obtained were analyzed and conclusions were drawn using appropriate statistical techniques. The procedure started with the selection of appropriate raw materials and generation of a target population of 543,143 paint formulations by adopting Basic Language computer programming. The average pigment volume concentration (PVC) percentage was computed using theory and found to be 54.98% for the target population paint formulations, verifying the literature results. Experimentation and statistical analysis were performed to compare the classical conventional agitator with the latest lab equipment such as a nano mill, and it was concluded that the nano mill performs better on average than the conventional agitator in the preparation of paint formulations. Hence, the sample of paint formulations was prepared on a nano mill and tested in the laboratory using advanced available technology for the analysis and comparison of paint properties to determine the best paint formulation. The results were analyzed using the Analysis of Variance (ANOVA) technique, and it was concluded that the newly developed paint has the highest dirt resistance on average. The final selected formula, No. 50 (the newly developed paint), was compared with the three best conventional paints available in the Pakistan market in a natural environment for a period of almost one year. A regression model was also constructed to study the effect of environmental factors like time, temperature, and humidity on the dirt resistance of paints. It was found that the newly developed paint formulation is the most environmentally friendly. It performs equally well as one conventional paint and has higher dirt resistance than two other conventional paint formulations containing harmful chemicals. The regression model of dirt resistance involving variables including time, temperature, and humidity shows that these factors significantly affect the dirt resistance of a given paint at a 5% level of significance. For a given paint, 95.34% of the variation in the dirt resistance is due to and explained by the given factors. The regression model is useful for predicting the average dirt resistance of a given paint with a certain level of confidence. The project exemplifies the work of applied research from conceptualization to successful commercialization in the paint industry.

Development and Statistical Modeling of Dirt Resistive Latex Façade Paint

A highly dirt resistant paint for building facades without chemicals harmful to nature and environment, is developed which resolves the unattractive disfigurement of building walls caused by dirt. The experimentation is scientifically and statistically planned with the aid of computer programming. It consists of a sequence of phases which include the selection of appropriate raw materials, adopting of Basic Language computer programming to generate a target population of paint formulations. The average PVC percentage is computed using theory and found to be 54.98% for the target population of 543143 paint formulations hence verifies the literature results. Experimentation and statistical analysis are performed to compare the classical conventional agitator with latest lab equipment like Nano mill and it is concluded that Nano mill performs better on the average than conventional agitator in preparation of paint formulations. Hence the sample of paint formulations is prepared on Nano mill and tested in laboratory using advanced available technology for the analysis and comparison of paint properties to determine the best paint formulation. The results are analyzed using Analysis Of Variance Technique (ANOVA) and it is concluded that the paint formulation named “O3” has the highest dirt resistance on the average. The final selected formula O3 is compared with three other competitor paints in market under natural environment for a period of almost one year. A regression model is also constructed to study the effect of environmental factors like time, temperature and humidity on dirt resistance of paints. It is found that O3 formulation is the best environment friendly which performs equally well with one competitor paint and has higher dirt resistance than two other competitor paint formulations containing harmful chemicals. The regression model of dirt resistance on variables including time, temperature and humidity shows that these factors are significantly affecting the dirt resistance of a given paint at 5% level of significance. 95.34% variation in the dirt resistance of a given paint is due to and explained by the given factors. The regression model is useful to predict the average dirt resistance of a given paint with a certain level of confidence. The project exemplifies the work of an applied research from conceptualization to successful commercialization for the paint industry.