879 resultados para Hydrolysis Index
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Arkit: 1 arkintunnukseton lehti, G3.
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Arkit: 1 arkintunnukseton lehti, M4.
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Arkit: 1 arkintunnukseton lehti, D4.
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Arkit: 1 arkintunnukseton lehti, H4.
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Arkit: 2 arkintunnuksetonta lehteä, B4.
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Arkit: 1 arkintunnukseton lehti, I4 K1.
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Arkit: 1 arkintunnukseton lehti, F4.
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Arkit: 1 arkintunnukseton lehti, C4.
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Arkit: 1 arkintunnukseton lehti, A4.
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Arkit: 1 arkintunnukseton lehti, L4.
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Arkit: 1 arkintunnukseton lehti, E4.
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Arkit: 1 arkintunnukseton lehti, G4 H2.
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Genetic algorithm and multiple linear regression (GA-MLR), partial least square (GA-PLS), kernel PLS (GA-KPLS) and Levenberg-Marquardt artificial neural network (L-M ANN) techniques were used to investigate the correlation between retention index (RI) and descriptors for 116 diverse compounds in essential oils of six Stachys species. The correlation coefficient LGO-CV (Q²) between experimental and predicted RI for test set by GA-MLR, GA-PLS, GA-KPLS and L-M ANN was 0.886, 0.912, 0.937 and 0.964, respectively. This is the first research on the QSRR of the essential oil compounds against the RI using the GA-KPLS and L-M ANN.
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The enzymatic hydrolysis of steam-pretreated sugarcane bagasse, either delignified or non-delignified, was studied as a function of enzyme loading. Hydrolysis experiments were carried out using five enzyme loadings (2.5 to 20 FPU/g cellulose) and the concentration of solids was 2% for both materials. Alkaline delignification improved cellulose hydrolysis by increasing surface area. For both materials, glucose concentrations increased with enzyme loading. On the other hand, enzyme loadings higher than 15 FPU/g did not result in any increase in the initial rate, since the excess of enzyme adsorbed onto the substrate restricted the diffusion process through the structure.