| 1 |
FTIR-PAS coupled to partial least squares for prediction of ash content, volatile matter, fixed carbon and calorific value of coal
Gomez YR, Hernandez RC, Guerrero JE, Mejia-Ospino E
Fuel, 226, 536, 2018 |
| 2 |
Least Absolute Shrinkage and Selection Operator as a Multivariate Calibration Tool for Simultaneous Determination of Diphenylamine and its Nitro Derivatives in Propellants
Mani-Varnosfaderani A, Soleimani M, Alizadeh N
Propellants Explosives Pyrotechnics, 43(4), 379, 2018 |
| 3 |
Predicting the properties of biodiesel and its blends using mid-FT-IR spectroscopy and first-order multivariate calibration
Cunha CL, Luna AS, Oliveira RCG, Xavier GM, Paredes MLL, Torres AR
Fuel, 204, 185, 2017 |
| 4 |
Closed Loop Control of Lactate Concentration in Mammalian Cell Culture by Raman Spectroscopy Leads to Improved Cell Density, Viability, and Biopharmaceutical Protein Production
Matthews TE, Berry BN, Smelko J, Moretto J, Moore B, Wiltberger K
Biotechnology and Bioengineering, 113(11), 2416, 2016 |
| 5 |
Quantification of conventional and advanced biofuels contents in diesel fuel blends using near-infrared spectroscopy and multivariate calibration
Alves JCL, Poppi RJ
Fuel, 165, 379, 2016 |
| 6 |
Prediction of HVO content in HVO/diesel blends using FTIR and chemometric methods
Vrtiska D, Simacek P
Fuel, 174, 225, 2016 |
| 7 |
Quantification of biodiesel and adulteration with vegetable oils in diesel/biodiesel blends using portable near-infrared spectrometer
Paiva EM, Rohwedder JJR, Pasquini C, Pimentel MF, Pereira CF
Fuel, 160, 57, 2015 |
| 8 |
Determination of naphtha composition by near infrared spectroscopy and multivariate regression to control steam cracker processes
da Silva VH, Reboucas MV, Salles AR, Pimentel MF, Pontes MJC, Pasquini C
Fuel Processing Technology, 131, 230, 2015 |
| 9 |
Studying competitive sorption behavior of methylene blue and malachite green using multivariate calibration
Issa AA, Al-Degs YS, Al-Ghouti MA, Olimat AAM
Chemical Engineering Journal, 240, 554, 2014 |
| 10 |
Multivariate linear regression with variable selection by a successive projections algorithm applied to the analysis of anodic stripping voltammetry data
Marreto PD, Zimer AM, Faria RC, Mascaro LH, Pereira EC, Fragoso WD, Lemos SG
Electrochimica Acta, 127, 68, 2014 |
