PRELIMINARY RESULTS USING ANEW METHOD TO OPTIMIZE A SPRAY DRYER PROCESS FOR PRODUCING HIGH QUALITY MILK POWDER FROM COW, GOAT AND SHE-ASS MILK CONCENTRATES

Author:

Altieri Giuseppe,Di Renzo Giovanni Carlo,Genovese Francesco

Abstract

As quality is a very important factor in milk powder produced by drying, the optimal process must protect both nutritional and sensorial properties. Although heat damage indices (namely the insolubility index (IINS), thermal damage (IDT), protein denaturation) could be used to evaluate the correct processing of milk, they are very time-consuming. Hence a chemical marker, like vitamin C, is proposed for rapid assessment of the overall damage to the quality of the produced milk powder. Trials were carried out on milk concentrates from cow, goat and she-ass so as to optimize the process performance of the spray dryer, for each kind of milk, at three inlet temperatures (120, 150, 185 °C); the feed flow rate was set at 0.5 dm3/h with outlet air RH% in the range 10-40%; raw milk was concentrated using a low pressure evaporator until an average level of 23% dry matter was reached. As expected, the thermal damage of the milk powder increased as the inlet air temperature increased; the outlet powder RH% was 96-98% poorly correlated with the mass flow rate of the concentrate inlet. Moreover, the destruction kinetic of vitamin C was found highly correlated with the thermal damage to the milk powder. At 175 °C inlet air temperature the overall thermal treatment on the she-ass milk concentrate, which is very heat-sensitive due to its high lactose content, was “weak” (IDT<80) and the milk powder of “premium or extra” quality (IINS<1.25ml and lactic acid = 0.07% < 0.15% ADMI). The titratable acidity values are uncorrelated with the process air temperature but depend uniquely from the raw milk freshness.

Publisher

PAGEPress Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Bioengineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3