TiO 2 -ZnO based nano catalyst for biodiesel production: synthesis, characterisation, performance & emission study DOI
Priyankesh Kumar, Devesh Kumar, Ravi Shankar

et al.

International Journal of Ambient Energy, Journal Year: 2024, Volume and Issue: 45(1)

Published: Oct. 11, 2024

Biodiesel (BD) production from bio-oil in the agriculture-based economy could minimise energy dependency on fossil diesel (FD). Viscous properties and lower calorific value of BD restrict their direct application DE. These can be enhanced by using advanced material (catalyst, adhesive etc) along with modifying preparation processes. The present work deals synthesis characterisation nanocatalyst (TiO2-ZnO) waste cooking oil (WCO) via transesterification process. Catalyst TiO2-ZnO was characterised XRD, SEM FTIR analysis. a 4:1 mass ratio indicates maximum yield. Maximum yield 88% noticed for molar methanol/WCO – 1:1; catalyst dose 2.5 g/l; reaction time 120 min at temperature -65°C respectively. prepared FTIR, GCMS, HNMR analysis compared result diesel. Engine performance confirms that 20% containing BM increases BSFC EGT 40 8.33% decreases BTE 14.26% comparison FD. But HC CO emissions decreased 50.27 57.44% While CO2 O2 are increased 2.65 4.76%

Language: Английский

A Comprehensive Review of Nanoparticles: From Classification to Application and Toxicity DOI Creative Commons
Furkan Eker, Hatice Duman, Emir Akdaşçi

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(15), P. 3482 - 3482

Published: July 25, 2024

Nanoparticles are structures that possess unique properties with high surface area-to-volume ratio. Their small size, up to 100 nm, and potential for modifications have enabled their use in a wide range of applications. Various factors influence the applications NPs, including synthesis method physical attributes such as size shape. Additionally, materials used NPs primary determinants application. Based on chosen material, generally classified into three categories: organic, inorganic, carbon-based. These categories include variety materials, proteins, polymers, metal ions, lipids derivatives, magnetic minerals, so on. Each material possesses activity application NPs. Consequently, certain typically particular areas because they higher efficiency along tenable toxicity. Therefore, classification base NP hold significant importance both research In this paper, we discuss these classifications, exemplify most major categorize them according preferred area This review provides an overall application,

Language: Английский

Citations

25
Integrating Machine Learning and Nano-QSAR Models to Predict the Oxidative Stress Potential Caused by Single and Mixed Carbon Nanomaterials in Algal Cells DOI Creative Commons
Qi Qi, Zhuang Wang

Environmental Toxicology and Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Abstract In silico methods are increasingly important in predicting the ecotoxicity of engineered nanomaterials (ENMs), encompassing both individual and mixture toxicity predictions. It is widely recognized that ENMs trigger oxidative stress effects by generating intracellular reactive oxygen species (ROS), serving as a key mechanism their cytotoxicity studies. However, existing still face significant challenges induced ENMs. Herein, we utilized laboratory-derived data machine learning to develop quantitative nanostructure-activity relationship (nano-QSAR) classification regression models, aiming predict five carbon (fullerene, graphene, graphene oxide, single-walled nanotubes, multi-walled nanotubes) binary mixtures on Scenedesmus obliquus cells. We constructed nano-QSAR models combining zeta potential (ζP) with C4.5 decision tree, support vector machine, artificial neural network, naive Bayes, K-nearest neighbor algorithms. Moreover, three integrating features including ζP, hydrodynamic diameter (DH), specific surface area (SSA) logistic regression, random forest, Adaboost The Accuracy, Recall, Precision harmonic mean Recall (F1-score) values these were all higher than 0.600, indicating an excellent performance distinguishing whether CNMs have generate ROS. addition, using DH, SSA descriptors, combined tree forest gradient boosting, algorithm, successfully four applicable application domains (all training testing points lie within 95% confidence intervals), goodness-of-fit (Rtrain2 ≥ 0.850), robustness (cross-validation R2 0.650) well predictive power (Rtest2 0.610). method developed would establish fundamental basis for more precise evaluations ecological risks posed materials from mechanistic standpoint.

Language: Английский

Citations

1
Optimization of Biodiesel Yield and Cost Analysis from Waste Cooking Oil Using Box–Behnken Design with TiO2–ZnO-Based Nano-catalyst DOI
Priyankesh Kumar, Devesh Kumar, Ravi Shankar

et al.

Korean Journal of Chemical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Language: Английский

Citations

2
Joint Toxicity and Interaction of Carbon-Based Nanomaterials with Co-Existing Pollutants in Aquatic Environments: A Review DOI Open Access
Konstantin Pikula, Seyed Ali Johari, Ralph Santos‐Oliveira

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(21), P. 11798 - 11798

Published: Nov. 2, 2024

This review paper focuses on the joint toxicity and interaction of carbon-based nanomaterials (CNMs) with co-existing pollutants in aquatic environments. It explores potential harmful effects chemical mixtures CNMs organisms, emphasizing importance scientific modeling to predict mixed toxic effects. The study involved a systematic literature gather information between various co-contaminants settings. A total 53 publications were chosen analyzed, categorizing studies based tested CNMs, types co-contaminants, used species. Common test models included fish microalgae, zebrafish being most studied underscores necessity conducting mixture testing assess whether combined are additive, synergistic, or antagonistic. development silico solid foundation research data represents best opportunity for prediction, eliminating need great quantity experimental studies.

Language: Английский

Citations

1
Environmentally degradable carbon dots for inhibiting P. globosa growth and reducing hemolytic toxin DOI
Hao Li, Chengming Sun, Mengling Zhang

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 356, P. 124366 - 124366

Published: June 12, 2024

Language: Английский

Citations

0
Transcriptomics and metabolomics analyses of graphene oxide toxicity on porcine alveolar macrophages DOI

Shanshen Gu,

Fan Lü, Zhongcheng Gao

et al.

Toxicology, Journal Year: 2024, Volume and Issue: 509, P. 153953 - 153953

Published: Sept. 10, 2024

Language: Английский

Citations

0
TiO 2 -ZnO based nano catalyst for biodiesel production: synthesis, characterisation, performance & emission study DOI
Priyankesh Kumar, Devesh Kumar, Ravi Shankar

et al.

International Journal of Ambient Energy, Journal Year: 2024, Volume and Issue: 45(1)

Published: Oct. 11, 2024

Biodiesel (BD) production from bio-oil in the agriculture-based economy could minimise energy dependency on fossil diesel (FD). Viscous properties and lower calorific value of BD restrict their direct application DE. These can be enhanced by using advanced material (catalyst, adhesive etc) along with modifying preparation processes. The present work deals synthesis characterisation nanocatalyst (TiO2-ZnO) waste cooking oil (WCO) via transesterification process. Catalyst TiO2-ZnO was characterised XRD, SEM FTIR analysis. a 4:1 mass ratio indicates maximum yield. Maximum yield 88% noticed for molar methanol/WCO – 1:1; catalyst dose 2.5 g/l; reaction time 120 min at temperature -65°C respectively. prepared FTIR, GCMS, HNMR analysis compared result diesel. Engine performance confirms that 20% containing BM increases BSFC EGT 40 8.33% decreases BTE 14.26% comparison FD. But HC CO emissions decreased 50.27 57.44% While CO2 O2 are increased 2.65 4.76%

Language: Английский

Citations

0