【摘 要】
：
This paper considers nondestructive measurement of the Monascus solid-state fermentation taking usage of near infrared spectroscopy analysis technology.Moisture content and pH value are important chem
【机 构】
：
Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Institution of
论文部分内容阅读
This paper considers nondestructive measurement of the Monascus solid-state fermentation taking usage of near infrared spectroscopy analysis technology.Moisture content and pH value are important chemical indicators of the solid-state fermentation process and reflect biochemical activities of the Monascus.In this paper,NIR spectra of the fermentation process are selected and chemo-metrics model is established taking usage of least square random variable ensemble strategy.The correlation coefficient of the moisture content of prediction set is 0.9770.The correlation coefficient of the pH value of prediction set is 0.9674.The model performance is accessible and the effectiveness of the strategy is proven.
其他文献
自组装多肽水凝胶因其生物相容性、可降解性等特性,可广泛应用于生物医学、食品科学、化妆品和纳米技术等领域.多肽序列的微小改变会显著影响多肽的组装过程,造成体系的成胶很难控制,使得典型的自组装规律无法应用,导致序列设计存在难度.因此本课题探究了以无合成端基、存在π-π堆积作用力的天然短肽EIWLK、GIWLG 的组装规律.实验结果表明：多肽水凝胶对pH 响应,并且以β-折叠二级结构为主.通过简单改变多
热毒宁注射液是江苏康缘药业独立研发的中药复方注射液,它是由青蒿、栀子和金银花三种中药组成,具有清热、疏风、解毒等功效。目前,对热毒宁注射液化学成分研究主要集中在主成分,然而影响中药注射液安全性往往在其微量成分。本研究以热毒宁注射液为研究对象,首先通过硅胶柱层析富集热毒宁注射液微量化学成分；其次,运用动态轴向工业化制备色谱进一步分离热毒宁注射液微量化学成分；然后,通过制备型高效液相色谱制备获取2 个
口腔微生物与多种口腔疾病乃至系统性疾病紧密相关.大量研究表明，口腔细菌在维护口腔生态平衡发挥积极作用，口腔菌群的失调会导致口腔及全身系统性疾病的发生.目的：分析比较正常人群和脑损伤患者舌苔菌群多样性及组成结构的差异，探讨舌苔菌群与脑损伤的相关性.方法：采集25 例脑损伤患者与21 名正常人舌苔细菌样本，采用Illumina MiSeq 测序法进行高通量测序，分析舌苔菌群的组成及结构.结果：与正常人
采用旋转流变仪研究了原脱胚玉米、挤压脱胚玉米和加酶挤压脱胚玉米的流变特性。结果表明：三种物料经过筛分后呈梯度分布且粒径分布相对集中，在水料比10∶1 和测试温度45 ℃时的浆液表现为剪切稀化。水料比较高10∶1 和20∶1 时测试温度对三种物料浆液的表观黏度影响不大，在低水料比下，浆液表观黏度随测试温度变化较大。在45℃和200S-1 条件下，三种物料的浆液随着测试时间的延长，表观黏度降低，脱胚玉
柠檬皮是果汁生产过程中的副产物,富含果胶.本研究采用乳酸(ALPP)、木瓜蛋白酶(PLPP)和732 型阳离子交换树脂(RLPP)分别从柠檬皮中提取果胶,对3种果胶的理化性质和流变特性进行了研究和比较.结果表明,ALPP 和RLPP 为高甲氧基果胶,而PLPP 为低甲氧基果胶,总半乳糖醛酸(GalA)含量约为果胶聚合物的50％.在3 个组分中,ALPP 具有最低的溶解度,RLPP 含有更多的蛋白质
Previous work on process monitoring has shown that process nonlinearity can be overcome by neural networks(NN)model.But its difficult to train a NN model that has good generalization capabilities in p
Motor imagery electroencephalography(EEG)is widely used in the brain-computer interface systems.Multivariate empirical mode decomposition is suitable to analyze multichannel EEG signals of non-station
A chemical process fault monitoring algorithms based on kernel entropy component analysis(KECA)is presented for the complexity and nonlinear of industrial chemical process data.The number of principal
This paper proposes a hybrid communication scheme for networked control systems subject to data dropouts.The current sampled data is triggered to be transmitted when a state dependent threshold is vio
Enterprise-wide optimization(EWO)requires the integrated optimization of models for production planning,scheduling and control in the refinery decision supporting system.When modeling for a refinery,t