BRIJ-35

Application

Application of artificial neural networks for enhancing Aspergillus flavipes lipase synthesis for green biodiesel production.: This study explores the use of artificial neural networks to enhance the synthesis of lipase by Aspergillus flavipes, which is crucial for green biodiesel production. The use of Brij® 35 in the optimization process highlights its effectiveness as a nonionic surfactant in biochemical applications (El-Metwally et al., 2023).

Solvents and detergents compatible with enzyme kinetic studies of cholinesterases.: This research investigates various solvents and detergents, including Brij® 35, for their compatibility in enzyme kinetic studies involving cholinesterases, underlining the utility of Brij® 35 in biochemical and pharmacological research (Sands et al., 2023).
Development of green micellar HPLC-DAD method for simultaneous determination of some sulbactam combinations used in COVID-19 regimen.: The study develops a green micellar high-performance liquid chromatography method using Brij® 35 for the analysis of sulbactam combinations, showcasing its role in pharmaceutical formulations and chemical analysis (Ragab et al., 2023).

Enhanced fluorimetric detection of diphenylpyraline HCl using micelle and cyclodextrin mediated approach: Spectrofluorimetric and micellar liquid chromatographic application for either single or combined formulation with caffeine and paracetamol.: This paper discusses the enhancement of fluorimetric detection of diphenylpyraline HCl through the use of Brij® 35, demonstrating its effectiveness in improving analytical sensitivity in pharmaceutical applications (Hammad et al., 2023).

Application of micellar liquid chromatography to model ecotoxicity of pesticides. Comparison with immobilized artificial membrane chromatography and n-octanol-water partitioning.: This research uses Brij® 35 in micellar liquid chromatography to model the ecotoxicity of pesticides, emphasizing its applicability in environmental chemistry and toxicology studies (Stergiopoulos et al., 2023).

Specifications

Doucuments

COA

SDS