Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling

Highly sensitive and repeatable recording photopolymer for holographic data storage containing N-methylpyrrolidone

“…N-Methylpyrrolidone (NMP) is an organic solvent with high solubility, low volatility, good stability, simple recovery, and low cost, and has broad application prospects. [36][37][38][39] Furthermore, NMP is a nitrogencontaining heterocyclic compound and has a lone electron pair on the N atom, which has a good electron donor capability. [40][41][42][43] Currently, the photosensitizer PQ has been shown to react more effectively with the CQC double bond of MMA, 28,44 the holographic properties can be improved by including more vinyl groups, and PQ molecules have remarkable electron-withdrawal capabilities.…”

Optimizing the UV-Fenton Degradation of m-Cresol Wastewater: An Experimental and Artificial Intelligence Modeling Approach

“…Its simplicity, rapid computation, robustness, and proficiency in managing complex scientific equations make ANN both user-friendly and derivative-free. , To train ANNs effectively, ample raw data, earmarked for training, validation, and testing, are imperative to decipher nonlinear input-output relationships. With the aid of today’s potent central processing units (CPUs), ANNs have made strides in chemical and environmental processes, tackling issues ranging from robotic searches for enhanced photocatalysts to predicting variables in water resource management and environmental toxicology − and improving treatment efficacy and cost-efficiency via modeling and optimization in pollutant elimination …”

Post-Global Pandemic Challenges and improvements in advanced detection and removal processes of toxic pollutants: Editorial

“…This Special issue shows studies related to copper ( Belbachir et al, 2022 , Stala et al, 2022 ), mercury ( Windisch et al, 2022 ), arsenic ( Jakukowicz-Sobala et al, 2022 ; Zaric et al, 2022 ; Carneiro et al, 2022 ), selenium (Parra-Martinez et al, 2022; Arias - Borrego et al, 2022 ), and other heavy and radioactive metals ( Irfan et al, 2022 ; Zheng et al, 2022; Germande et al, 2022 ; Krawczy-Barsch et al, 2022) detection and speciation, organic matter and inorganic ions removal ( Pidoux et al,. 2022 ), quantitative analysis of metabolites ( Wang et al, 2022 ), estrogens ( Zdarta et al, 2022 ), uses and detection of nanomaterials ( Kuo et al, 2022 , Saravanakumar et al, 2022 ), nanoplastics ( Arini et al, 2022 ), HCH derivatives ( Alvarez et al, 2022 ), antibiotics ( Zaheer Afzal et al, 2022 ), pesticides ( Jevremovic et al, 2022 ), photodegration processes ( Kumar et al, 2022 ), cell internalization drugs ( Ahmadi et al, 2022 ), dyes and pigments degradation ( Jankowska et al, 2022 ), and bacteria studies ( Arruda et al, 2022 , Xiang et al, 2022 ) in a very long different group of samples, including fresh environmental water, seawater, wastewater, different soils, food, marine organism, bacteria, mice’s, etc.…”