Christie Loren, Rutherford Samantha, Palmer David S, Baker Matthew J, Butler Holly J
Dxcover Ltd., Glasgow, United Kingdom.
Pure and Applied Chemistry, University of Strathclyde, Glasgow, United Kingdom.
Front Bioeng Biotechnol. 2024 May 28;12:1349473. doi: 10.3389/fbioe.2024.1349473. eCollection 2024.
Pharmaceutical manufacturing is reliant upon bioprocessing approaches to generate the range of therapeutic products that are available today. The high cost of production, susceptibility to process failure, and requirement to achieve consistent, high-quality product means that process monitoring is paramount during manufacturing. Process analytic technologies (PAT) are key to ensuring high quality product is produced at all stages of development. Spectroscopy-based technologies are well suited as PAT approaches as they are non-destructive and require minimum sample preparation. This study explored the use of a novel attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy platform, which utilises disposable internal reflection elements (IREs), as a method of upstream bioprocess monitoring. The platform was used to characterise organism health and to quantify cellular metabolites in growth media using quantification models to predict glucose and lactic acid levels both singularly and combined. Separation of the healthy and nutrient deficient cells within PC space was clearly apparent, indicating this technique could be used to characterise these classes. For the metabolite quantification, the binary models yielded values of 0.969 for glucose, 0.976 for lactic acid. When quantifying the metabolites in tandem using a multi-output partial least squares model, the corresponding value was 0.980. This initial study highlights the suitability of the platform for bioprocess monitoring and paves the way for future in-line developments.
制药生产依赖生物加工方法来生产当今可用的一系列治疗产品。生产成本高昂、易受工艺故障影响以及需要生产出一致的高质量产品,这意味着在生产过程中过程监测至关重要。过程分析技术(PAT)是确保在开发的各个阶段都能生产出高质量产品的关键。基于光谱的技术非常适合作为PAT方法,因为它们是非破坏性的,且所需样品制备最少。本研究探索了一种新型衰减全反射傅里叶变换红外(ATR-FTIR)光谱平台的应用,该平台使用一次性内反射元件(IRE),作为上游生物过程监测的一种方法。该平台用于表征生物体健康状况,并使用定量模型预测生长培养基中的细胞代谢物,以单独或联合预测葡萄糖和乳酸水平。在主成分空间中,健康细胞和营养缺乏细胞明显分离,表明该技术可用于表征这些类别。对于代谢物定量,二元模型对葡萄糖的R²值为0.969,对乳酸的R²值为0.976。当使用多输出偏最小二乘模型串联定量代谢物时,相应的R²值为0.980。这项初步研究突出了该平台在生物过程监测方面的适用性,并为未来的在线开发铺平了道路。