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用超声波改善蚕蛹蛋白性能的工艺条件优化及产品性能测试 被引量:6

Process Optim ization and Property Testing of Silkworm Pupa Protein Treated by Ultrasonic
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摘要 利用超声波技术改善蚕蛹蛋白的实用性能,提升其应用价值。在单因素试验研究蚕蛹蛋白浓度、超声波功率、处理温度和处理时间4个因素对蚕蛹蛋白溶解度影响的基础上,采用响应面分析法对超声波改善蚕蛹蛋白性能的工艺条件进行优化试验。对依据试验数据建立的响应面回归模型进行方差分析,结果显示其有较好的精确度和可靠性,该回归模型的拟合度较好。各因素对蚕蛹蛋白溶解度影响的显著程度依次为蚕蛹蛋白浓度、超声波功率、处理温度、处理时间。优化的工艺条件为:超声波功率530.4 W,蚕蛹蛋白质量分数10.84%,处理温度37.3℃,处理时间96.4 min。在此工艺条件下经超声波处理的蚕蛹蛋白的溶解度、乳化性、起泡性分别是处理前的4.02倍、1.87倍和1.41倍,必需氨基酸含量增加了17.22%。经超声波改性后的蚕蛹蛋白有利于开发高附加值产品及扩宽应用范围。 To increase the application value of silkworm pupa application performances. On the basis of investigation on the temperature and treatment time on the solubility of silkworm protein, ultrasonic technology was performed to improve its effect of protein concentration, ultrasonic power, treatment pupa protein by means of single factor experiments, response surface analysis was conducted to optimize the technological conditions of silkworm pupa protein properties treated with ultrasonic. Variance analysis on the established response surface regression model showed that this model had high accuracy, reliability and fitting degree, Various factors on the solubility of silkworm pupa protein had the order as protein concentration, ultrasonic power, treatment temperature and treatment time. The optimized condition was as follows ultrasonic power 81.6%, mass fraction of silkworm pupa protein 10.84%, treatment temperature 37.3℃ and treatment time 96.4 min. Under this condition, the solubility, emulsibility and foamability of silkworm pupa protein treated with ultrasonic was 4.02, 1.87 and 1.41 folds to that of control respectively. The content of essential amino acids increased by 17.22%. The silkworm pupa protein after treatment with ultrasonic would facilitate the development of high value-added products and broaden its applicational range.
出处 《蚕业科学》 CAS CSCD 北大核心 2015年第3期548-554,共7页 ACTA SERICOLOGICA SINICA
基金 公益性行业(农业)科研专项(No.201403064)
关键词 蚕蛹蛋白 溶解性 超声波 工艺优化 响应面分析法 Silkworm pupa protein Solubility Ultrasonic Process optimization Response surface methodology
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