Dept. of Biochemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
Biotechnol Prog. 2012 Mar-Apr;28(2):392-405. doi: 10.1002/btpr.1500. Epub 2012 Jan 5.
In this work an integrated robotic platform has been used for the development of a fully automated microscale process sequence comprising fermentation and bioconversion using E. coli TOP10 [pQR210] expressing cyclohexanone monooxygenase (CHMO). Ninety six-Deep Square Well (96-DSW) microtiter plates were used for microbial culture and enzyme-catalyzed conversion, where plate preparation, reagent addition, and sampling were all carried out without manual intervention. The adoption of automated robotic procedures has enabled the rapid collection of kinetic data for whole process optimization at the microscale. This high-throughput approach enabled a range of amino acid sources for media formulation and well fill volumes to be investigated highlighting when nutritional limitation and oxygen limitations took place. The automated process sequence has been applied to test six CHMO substrates including norcamphor and cycloheptanone all of which to the best of our knowledge have yet to be tested with E. coli TOP10 [pQR210]. Substrate specificity and product selectivity were effectively demonstrated and compared to both the natural substrate cyclohexanone and the model substrate bicyclo[3.2.0]hept-2-en-6-one used to demonstrate asymmetric synthesis. The results obtained using the developed process sequence could be reproduced at 75 L scale when a matched oxygen transfer coefficient k(L) a approach was used. The study demonstrates how automated microscale processing enables the rapid collection of kinetic quantitative data in a robust manner with clear implications for accelerating bioprocess development, optimization, and scale-up.
在这项工作中,使用了一个集成的机器人平台,用于开发一个完全自动化的微尺度工艺序列,该序列包括使用表达环己酮单加氧酶(CHMO)的大肠杆菌 TOP10 [pQR210]进行发酵和生物转化。使用 96 个深方孔(96-DSW)微孔板进行微生物培养和酶催化转化,其中无需人工干预即可进行板制备、试剂添加和采样。采用自动化机器人程序,可以快速收集整个过程的动力学数据,以便在微尺度上进行优化。这种高通量方法可以研究用于培养基配方的氨基酸来源和孔填充体积,突出营养限制和氧气限制发生的时间。已经应用自动化过程序列来测试六种 CHMO 底物,包括降蒈烷和环庚酮,据我们所知,这些底物都尚未与大肠杆菌 TOP10 [pQR210]一起进行过测试。有效地证明了底物特异性和产物选择性,并与天然底物环己酮和用于证明不对称合成的模型底物双环[3.2.0]庚-2-烯-6-酮进行了比较。当使用匹配的氧传递系数 k(L) a 方法时,在 75 L 规模上可以再现使用开发的过程序列获得的结果。该研究展示了自动化微尺度处理如何以稳健的方式快速收集动力学定量数据,这对加速生物工艺开发、优化和放大具有明显的意义。