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Comparative analysis of heat treatments in sugar cane juice

Über Comparative analysis of heat treatments in sugar cane juice

The physicochemical and microbiological analyses were carried out on the fresh juice, the juice treated by microwave irradiation and also the industrially treated juice, so that there would be a significant number of comparisons. Firstly, the normality of the data was checked for the following variables: ºBrix, pH, colour, turbidity and log of bacteria (pour). Statistical analyses were not possible for the analyses of POL, AR, ART and alcohol content, which were carried out in the laboratories of Usina Coruripe. The Kolmogorov-Smirnov normality test with Lilliefors correction was carried out, which determined that none of the variables had a normal distribution. Levene's test was used to analyse the homogeneity of variance. The variables did not show homogeneity of variance, making it necessary to use the non-parametric Kruskal-Wallis test. I hope that the results will help other research in the area of technological innovation that could optimise sugar and ethanol production processes, making production more cost-effective and leading to an increase in biofuel production.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786206388876
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 60
  • Veröffentlicht:
  • 27. August 2023
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 107 g.
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Beschreibung von Comparative analysis of heat treatments in sugar cane juice

The physicochemical and microbiological analyses were carried out on the fresh juice, the juice treated by microwave irradiation and also the industrially treated juice, so that there would be a significant number of comparisons. Firstly, the normality of the data was checked for the following variables: ºBrix, pH, colour, turbidity and log of bacteria (pour). Statistical analyses were not possible for the analyses of POL, AR, ART and alcohol content, which were carried out in the laboratories of Usina Coruripe. The Kolmogorov-Smirnov normality test with Lilliefors correction was carried out, which determined that none of the variables had a normal distribution. Levene's test was used to analyse the homogeneity of variance. The variables did not show homogeneity of variance, making it necessary to use the non-parametric Kruskal-Wallis test. I hope that the results will help other research in the area of technological innovation that could optimise sugar and ethanol production processes, making production more cost-effective and leading to an increase in biofuel production.

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