화학공학소재연구정보센터
검색결과 : 59건
No. Article
1 Detection of Gasoline Adulteration Using Modified Distillation Curves and Artificial Neural Network
Foroughi B, Shahrouzi JR, Nemati R
Chemical Engineering & Technology, 44(3), 527, 2021
2 Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies
Bhowmik S, Paul A, Panua R, Ghosh SK, Debroy D
Fuel, 235, 317, 2019
3 Estimation of the composition of soybean biodiesel/soybean oil blends from permittivity measurements
Corach J, Galvan EF, Sorichetti PA, Romano SD
Fuel, 235, 1309, 2019
4 Application of time-domain NMR as a methodology to quantify adulteration of diesel fuel with soybean oil and frying oil
Cunha DA, Neto AC, Colnago LA, Castro EVR, Barbosa LL
Fuel, 252, 567, 2019
5 Performance-exhaust emission prediction of diesosenol fueled diesel engine: An ANN coupled MORSM based optimization
Bhowmik S, Paul A, Panua R, Ghosh SK, Debroy D
Energy, 153, 212, 2018
6 Rapid and sensitive method for detecting adulterants in gasoline using ultra-fast gas chromatography and Partial Least Square Discriminant Analysis
Nespeca MG, Munhoz JFVL, Flumignan DL, de Oliveira JE
Fuel, 215, 204, 2018
7 Extraction and determination of volatile organic acid concentration in pomegranate, sour cherry, and red grape juices by PPy-Ag nanocomposite fiber for authentication
Ghasemi F, Pirsa S, Alizadeh M, Mohtarami F
Separation Science and Technology, 53(1), 117, 2018
8 Melamine dependent fluorescence of glutathione protected gold nanoclusters and ratiometric quantification of melamine in commercial cow milk and infant formula
Kalaiyarasan G, Anusuya K, Joseph J
Applied Surface Science, 420, 963, 2017
9 Ultrasonic attenuation and sound velocity assessment for mixtures of gasoline and organic compounds
Figueiredo MKK, Alvarenga AV, Costa-Felix RPB
Fuel, 191, 170, 2017
10 Detection and estimation of Super premium 95 gasoline adulteration with Premium 91 gasoline using new NIR spectroscopy combined with multivariate methods
Mabood F, Gilani SA, Albroumi M, Alameri S, Al Nabhani MMO, Jabeen F, Hussain J, Al-Harrasi A, Boque R, Farooq S, Hamaed AM, Naureen Z, Khan A, Hussain Z
Fuel, 197, 388, 2017