Département de Génie Chimique et Génie Biotechnologique, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Bioresour Technol. 2013 Sep;144:664-8. doi: 10.1016/j.biortech.2013.06.094. Epub 2013 Jun 30.
The objective of this work is to develop a quick and simple method for the in situ monitoring of sugars in biological cultures. A new technology based on Attenuated Total Reflectance-Fourier Transform Infrared (FT-IR/ATR) spectroscopy in combination with an external light guiding fiber probe was tested, first to build predictive models from solutions of pure sugars, and secondly to use those models to monitor the sugars in the complex culture medium of mixotrophic microalgae. Quantification results from the univariate model were correlated with the total dissolved solids content (R(2)=0.74). A vector normalized multivariate model was used to proportionally quantify the different sugars present in the complex culture medium and showed a predictive accuracy of >90% for sugars representing >20% of the total. This method offers an alternative to conventional sugar monitoring assays and could be used at-line or on-line in commercial scale production systems.
本工作旨在开发一种快速简便的原位监测生物培养物中糖的方法。本文测试了一种基于衰减全反射傅里叶变换红外（FT-IR/ATR）光谱技术与外部导光纤维探头相结合的新技术，首先用纯糖溶液建立预测模型，其次用这些模型监测混合营养微藻复杂培养基中的糖。单变量模型的定量结果与总溶解固体含量（R(2)=0.74）相关。采用向量归一化多元模型对复杂培养基中存在的不同糖进行比例定量，对于代表总糖 20%以上的糖，其预测准确率>90%。该方法为传统的糖监测方法提供了替代方案，可用于商业规模生产系统的在线或离线监测。
