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Effects of Starch, Polysaccharides, Protein and Silicate on the Formation of Acid Beverage Floc in Refined Sugar

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Abstract

In three weekly tests in 2018, samples of raw sugar, refinery liquor and refined sugar were collected from a Tucuman sugar factory/back-end refinery and analyzed for starch, polysaccharides, proteins and silicates. The standard 10-day acid floc behavior, which is a sample being either floc positive or floc negative, was correlated against the levels of the four impurities. Of these impurities, starch had statistically the most significant effect on floc formation, both in the refined sugar set as well as in the raw sugar/refinery liquor set of samples. Despite the use of some α-amylase at the mill, the starch levels in refined sugar were relatively high. The effects of polysaccharides, proteins and silicates on floc formation were statistically less significant, although the proteins were on average higher in floc-positive than in floc-negative sugars.

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Acknowledgments

Cooperation and help of the management and staff of the Leales sugar factory are greatly appreciated, as is the continued support for EEAOC sugar factory programs from the entire Tucuman sugar industry. Special thanks also to Santiago Ostengo and Dr. Ana Sfer for their help with the statistical evaluation of the data.

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Correspondence to Silvia Zossi.

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Appendix

Appendix

See Tables 2, 3, 4, 5 and 6.

Table 2 Starch concentration in the sugar samples (mg/kg) and refinery liquor (mg/kg brix)
Table 3 Polysaccharide concentration in the sugar samples (mg/kg) and refinery liquor (mg/kg brix)
Table 4 Protein concentration in the sugar samples (mg/kg) and refinery liquor (mg/kg brix)
Table 5 Silicate A concentration in the sugar samples (mg/kg) and refinery liquor (mg/kg brix)
Table 6 Silicate B concentration in the sugar samples (mg/kg) and refinery liquor (mg/kg brix)

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Sastre Siladji, M., Saska, M., Zossi, S. et al. Effects of Starch, Polysaccharides, Protein and Silicate on the Formation of Acid Beverage Floc in Refined Sugar. Sugar Tech 22, 727–733 (2020). https://doi.org/10.1007/s12355-020-00820-3

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  • DOI: https://doi.org/10.1007/s12355-020-00820-3

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