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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Experimental data and estimation of sucrose solubility in impure solutions

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Autor(es):
Crestani, Carlos E. [1] ; Bernardo, Andre [2] ; Costa, Caliane B. B. [3] ; Giulietti, Marco
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Fed Inst Educ Sci & Technol Sao Paulo, Rua Stefano DAvassi, 625 Nova Cidade, BR-15991502 Matao, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Chem Engn, Rodovia Washington Luis, Km 235, BR-13565905 Sao Carlos, SP - Brazil
[3] Univ Estadual Maringa, Dept Chem Engn, Jd Univ, Ave Colombo, 5790, Bloco D90, BR-87020900 Maringa, PR - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Journal of Food Engineering; v. 218, p. 14-23, FEB 2018.
Citações Web of Science: 2
Resumo

Although sucrose solubility has been widely studied, the presence of impurities, which is invariably true in sucrose industrial crystallization, affects its solubility and the extent of this influence is not fully addressed in the literature. This study aimed to obtain experimental data of sucrose solubility in aqueous pure and impure solutions from 10 to 100 degrees C and evaluate prediction ability of SLE models. Experimental data shows that impurities in sugarcane juice, i.e. reducing sugars and salts, in levels studied (with 92.8% of sucrose up to pure solutions) increase sucrose solubility. Evaluating existing models for SLE showed that they generally provide poor prediction. However, a proposed modification in the Nyvlt Equation of solubility provides a small mean deviation (2.54%) between experimental and calculated data in pure and impure aqueous solutions, making this SLE model useful for solubility calculation in crystallization studies, especially when syrups containing typical impurities of sugarcane juice are used. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

Processo FAPESP: 11/51902-9 - Simulação da biorrefinaria de cana-de-açúcar de 1ª. geração na plataforma EMSO
Beneficiário:Antonio Maria Francisco Luiz Jose Bonomi
Modalidade de apoio: Auxílio à Pesquisa - Programa BIOEN - Temático