Development of Spectroscopically-based Approaches for Bioprocess Monitoring and Bioproduct Characterization

开发基于光谱的生物过程监测和生物产品表征方法

• 批准号: RGPIN-2016-03786
• 负责人: Legge, Raymond
• 金额: $ 2.4万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=657134
• 关键词: Development; Spectroscopically; based; Approaches; Bioprocess

The ability to monitor various parameters in an industrial process enables improvements in product quality, process efficiency, sustainability and, ultimately, to reduce costs. In bioprocesses, the complex nature of the products presents numerous challenges for process monitoring. Optical sensors can capture data, which contains chemical information and, information related to product functionality. Part of the challenge after collection of this complex data set is to “decipher” the data to provide the information on the variable(s) of interest. Deciphering is accomplished through the application of mathematical and statistical tools. We have chosen two optical sensor techniques, fluorescence and near infrared (NIR) spectroscopy. We will extend our success with liquid sample analysis and fluorescence to powder samples, with a focus on a novel, solvent-free separation process developed for the production of protein- and starch-enriched fractions from milled agricultural material, e.g. bean flour. There are numerous incentives to exploring this novel approach, as interest in bean or pulse proteins has increased substantially in recent years, as these sources are low in fat and excellent nutritionally. Conventional processes are water and energy intensive, so a solvent-free process offers improvements in sustainability, with the additional benefit of helping to preserve the native functionality of the extracted proteins; thus expanding the roster of potential alternate industrial uses. Canada's agriculture sector is known for its export of pulses and oilseeds, but little secondary processing of these raw materials to produce higher value fractions is conducted resulting in loss of significant economic opportunities and job development. The proposed research aims to examine a novel approach of fusing the data from multiple sensors with this process, as a case study. The outcome will be an optimized process and a suite of techniques, allowing us to identify possible, alternate industrial applications of the products.****The research will be extended to develop an on-line approach of data collection and processing, with application to natural organic matter (NOM) as it relates to drinking water treatment. The effects of climate change and storm events are driving an interest in better tools for monitoring the impact on raw water and for looking at possible control strategies that are information based, rather than exclusively expert based. Combining the two sensors will enhance the amount of chemical information available and allow correlation with important parameters of significant health concern, (e.g. disinfection by-products, geno- and cytotoxicity and contamination events). This research will impact our ability to conform or comply with emerging requirements for regulating and monitoring these products in drinking water in a timely fashion.***

在工业过程中监视各种参数的能力可以改善产品质量，过程效率，可持续性以及最终降低成本。在生物过程中，产品的复杂性质提出了过程监测的许多挑战。光学传感器可以捕获数据，其中包含化学信息和与产品功能有关的信息。收集此复杂数据集后的挑战的一部分是“破译”数据，以提供有关感兴趣的变量的信息。通过应用数学和统计工具来完成解密。我们选择了两种光学传感器技术，荧光和接近感染（NIR）光谱法。我们将通过液体样品分析和荧光扩展到粉末样品的成功，重点是用于从工厂农业材料中生产蛋白质和淀粉富集的蛋白质和富含蛋白质的分离过程，例如豆面。近年来，由于这些来源低脂肪且营养优异，因此有许多激励措施探索这种新颖的方法，因为在Bean或Pulse蛋白中的有趣方法已大大增加。传统的过程是水和能源密集型的，因此无溶剂的过程可改善可持续性，并有助于保留提取的蛋白质的本地功能；从而扩大了潜在的替代工业用途的名册。加拿大的农业部门以其出口豆类和油料种子而闻名，但是这些原材料几乎没有二级加工来产生更高的价值分数，从而导致损失了巨大的经济机会和就业机会。拟议的研究旨在研究一种新的方法，将来自多个传感器的数据与该过程融合在一起，作为案例研究。结果将是一个优化的过程和一套技术，使我们能够确定产品的替代工业应用。**** ****将扩展研究以开发数据收集和处理的在线方法，并应用于自然有机物（NOM）（NOM），因为它与饮用水相关。气候变化和风暴事件的影响引起了人们对更好的工具的兴趣，以监视对原水的影响，并查看基于信息的可能的控制策略，而不是完全基于专家。将两个传感器组合起来将增强可用的化学信息量，并允许与重要健康问题的重要参数相关（例如消毒副产品，Geno-和Geno-和Geno-和totototoxicient和污染事件）。这项研究将影响我们符合或符合新兴要求的能力，以及时确定和监视这些产品。***