Abad Sergi, Pérez Xavier, Planas Antoni, Turon Xavier
Bioengineering Department, Institut Químic de Sarrià (IQS), Universitat Ramon Llull. Via Augusta 390, 08017 Barcelona, Spain.
Bioengineering Department, Institut Químic de Sarrià (IQS), Universitat Ramon Llull. Via Augusta 390, 08017 Barcelona, Spain.
Talanta. 2014 Apr;121:210-4. doi: 10.1016/j.talanta.2013.12.022. Epub 2014 Jan 9.
Recently, the need for crude glycerol valorisation from the biodiesel industry has generated many studies for practical and economic applications. Amongst them, fermentations based on glycerol media for the production of high value metabolites are prominent applications. This has generated a need to develop analytical techniques which allow fast and simple glycerol monitoring during fermentation. The methodology should be fast and inexpensive to be adopted in research, as well as in industrial applications. In this study three different methods were analysed and compared: two common methodologies based on liquid chromatography and enzymatic kits, and the new method based on a DotBlot assay coupled with image analysis. The new methodology is faster and cheaper than the other conventional methods, with comparable performance. Good linearity, precision and accuracy were achieved in the lower range (10 or 15 g/L to depletion), the most common range of glycerol concentrations to monitor fermentations in terms of growth kinetics.
最近，生物柴油行业对粗甘油进行增值利用的需求催生了许多关于实际和经济应用的研究。其中，基于甘油培养基生产高价值代谢产物的发酵是突出的应用。这就产生了开发分析技术的需求，以便在发酵过程中快速、简单地监测甘油。该方法应快速且廉价，可用于研究以及工业应用。在本研究中，分析并比较了三种不同的方法：两种基于液相色谱和酶试剂盒的常用方法，以及基于斑点印迹分析结合图像分析的新方法。新方法比其他传统方法更快、更便宜，且性能相当。在较低浓度范围（10或15 g/L至耗尽）内实现了良好的线性、精密度和准确度，这是根据生长动力学监测发酵时甘油浓度最常见的范围。
