Bioreactor contamination monitoring using off-gassed volatile organic compounds (VOCs).

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Angela L Linderholm, Manohar P Bhandari, Eva Borras, Allison Kwon, Flore M Herve, Mitchell M McCartney, Richart W Harper, Nicholas J Kenyon, Cristina E Davis
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Abstract

Metabolically active cells emit volatile organic compounds (VOCs) that can be used in real time to non-invasively monitor the health of cell cultures. We utilized these naturally occurring VOCs in an adapted culture method to detect differences in culturing Chinese hamster ovary (CHO) cells with and without Staphylococcus epidermidis and Aspergillus fumigatus contaminations. The VOC emissions from the cell cultures were extracted and measured from the culture flask headspace using polydimethylsiloxane (PDMS)-coated Twisters, which were subjected to thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) analysis. In our initial time points of 1 and 2 h, we detected VOC signatures that differentiated the cultures earlier than traditional plating techniques or visualization methods. Partial least squares-discriminant analysis (PLS-DA) models were built to differentiate the analytes from the CHO cells and S. epidermidis- and A. fumigatus-inoculated CHO cultures. A total of 41 compounds with a variable importance in projection (VIP) score greater than 1 was obtained across the models. Similarly, based on the PLS regression analyses to predict the cell concentration of S. epidermidis (R2 = 0.891) and A. fumigatus (R2 = 0.375), 15 and 20 relevant compounds were putatively identified, respectively; two known compounds overlapped between the two microbes. Some of the compounds were unidentified and future studies will determine the relationship between the VOCs and the metabolic changes in contaminated cultures.

利用废气挥发性有机化合物(VOCs)监测生物反应器污染。
代谢活跃的细胞释放挥发性有机化合物(VOCs),可用于实时监测细胞培养的健康状况。我们利用这些自然产生的挥发性有机化合物,在一种适应的培养方法中检测了表皮葡萄球菌和烟曲霉污染和不污染的中国仓鼠卵巢(CHO)细胞的差异。利用聚二甲基硅氧烷(PDMS)涂层绕线器从培养瓶顶空提取和测量细胞培养物的VOC排放量,并进行热解吸-气相色谱-质谱(TD-GC-MS)分析。在我们最初的时间点1和2 h,我们检测到VOC特征,这些特征比传统的电镀技术或可视化方法更早地区分了培养物。建立了偏最小二乘判别分析(PLS-DA)模型来区分CHO细胞和表皮葡萄球菌和烟曲霉接种CHO培养物。在所有模型中,共有41个化合物的投影变量重要性(VIP)评分大于1。同样,基于PLS回归分析预测表皮葡萄球菌(R2 = 0.891)和烟曲霉(R2 = 0.375)的细胞浓度,分别推定鉴定出15种和20种相关化合物;两种已知的化合物在两种微生物之间重叠。其中一些化合物尚未确定,未来的研究将确定VOCs与受污染培养物中代谢变化之间的关系。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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