Brilliant green

About: Brilliant green is a research topic. Over the lifetime, 627 publications have been published within this topic receiving 12495 citations.

Magnetic molecular imprinting bionic ELISA (enzyme-linked immuno sorbent assay) detecting method of malachite green

Abstract: The invention discloses a magnetic molecular imprinting bionic ELISA (enzyme-linked immuno sorbent assay) detecting method. The magnetic molecular imprinting bionic ELISA detecting method includes steps of preparing magnetic molecular imprinted polymer and setting up a direct-competition ELISA method. By the detecting method, uniform-particle MG-MMIPs (malachite green-magnetic molecular imprinted polymers) are prepared by an emulsion polymerization method, adsorption performance is investigated, the MG-MMIPs is used as bionic antibody, and the directly-competitive ELISA detecting method is established by means of competitive adsorption to MG antigen and enzyme labeling MG antigen. Under the optimum reaction conditions, the standard curve sensitivity is 20.14 ugL-1, and the minimum detection limit is 0.12 ugL-1 and is lower than detection limit of 2 ppb (ng/g) of a MG rapid-detection card. Meanwhile, the method has high selectivity for MG, and cross reaction rates for two structural analogues (methyl violet and brilliant green) of the MG are 7.4% and 3.9% respectively.

Studies on Foams. III. The Foam Formation of Some Dyestuff Solutions

Abstract: The foam formations of the aqueous solutions of methyl violet 5B, brilliant green, malachite green, crystel violet, Hofmann’s violet and congo red have been measured. The foaming ability, that is the product of foaminess and foam strength, is considered as the measure of the foam formation. This scarcely changes by the long period’s storage of the solution. The foaming ability of them is nearly parallel with the surface activity. This is interpreted with structural formnlae of dyestuffs.

Artificial and natural fiber fabrics with immobilized di-and triaminotriarylmethane reagents in chemical test methods

Abstract: The potentials of fabrics made of artificial and natural fibers as supports for the di-and triaminotriarylmethane reagents were shown for their possible use in chemical test methods. Malachite Green, Brilliant Green, Methyl Violet, Crystal Violet, and Parafuchsine were immobilized on viscose, calico, coarse calico, and a mixed fabric. The reagent retention was 70–90%. The indicator fabrics are resistant to strong acids and alkalies and can be used for the test determination of 0.01–10 mg/L of phosphates, 1–80 mg/L of silicates, 0.01–8 mg/L of dissolved oxygen, biological oxygen demand for 5 days (BOD5), 0.5–10 mg/L of formaldehyde, and 0.1–10 mg/L of anionic surfactants. The analysis time was 10–15 min. The relative standard deviation did not exceed 30%.

Simultaneous Determination of Brilliant Green and Basic Fuchsin by Cloud Point Extraction–scanometry

Abstract: In this study, cloud point extraction‒scanometry as a new, simple and inexpensive method was developed for the separation, preconcentration and determination of trace amounts of brilliant green (BG) and basic fuchsin (BF) in mixture. The method is based on the extraction of analytes simultaneously from aqueous solution using a non-ionic surfactant Triton X-114 as a cloud point extractor. After phase separation, the surfactant-rich phase was diluted with ethanol, digital image of the solution taken with a flatbed scanner and RGB parameters of the enriched analytes were calculated by special software written in visual basic (VB 6). The influence of analytical parameters including pH of system, the concentration of the surfactant, equilibration temperature and time were optimized. The method was linear in the concentration ranges of 0.025‒1.00 and 0.05‒2.50 mg/L with limits of detection of 0.008 and 0.019 mg/L for BG and BF, respectively. The preconcentration factors were 29 for BG and 28 for BF. The enrichment factors were found to be 34 and 16, precision (RSD, %) of the method, 1.9 and 1.3% for BG and BF, respectively. The effects of interfering ions and dyes were investigated. Finally, the proposed method was applied for the determination of BG and BF in real water samples with satisfactory results.

Decolorizing brilliant green by mesoporous Pd–Fe magnetic nanoparticles immobilized on reduced graphene oxide: artificial neural network modeling

Abstract: The mesoporous Pd–Fe magnetic nanoparticles immobilized on the reduced graphene oxide were employed in the present work for the decolorization of toxic brilliant green in aqueous phase. The decolorization process was modeled using backpropagation artificial neural network and optimized by genetic algorithm and particle swarm optimization. These magnetic nanocomposites were synthesized by the two-step reaction in aqueous phase method and then characterized with various methods. According to response surface methodology, the effect of operating parameters on the decolorization of brilliant green in aqueous solution was studied through batch experiments. On the basis of these experiments, the prediction ability of response surface methodology and backpropagation neural network method was assessed. The decolorization process follows Freundlich isotherm and pseudo-second-order kinetics. Furthermore, thermodynamics studies demonstrate that the adsorption of brilliant green onto the nanocomposites was endothermic and spontaneous. Overall, these mesoporous nanomaterials have the advantages of strong adsorption capacity and fast decolorization for brilliant green, and modeling of the removal process with artificial neural network was successful.