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FTIR microspectroscopy for rapid screening and monitoring of polyunsaturated fatty acid production in commercially valuable marine yeasts and protists

机译:FTIR显微光谱用于快速筛选和监测商业上有价值的海洋酵母和原生生物中多不饱和脂肪酸的产生

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摘要

The increase in polyunsaturated fatty acid (PUFA) consumption has prompted research into alternative resources other than fish oil. In this study, a new approach based on focal-plane-array Fourier transform infrared (FPA-FTIR) microspectroscopy and multivariate data analysis was developed for the characterisation of some marine microorganisms. Cell and lipid compositions in lipid-rich marine yeasts collected from the Australian coast were characterised in comparison to a commercially available PUFA-producing marine fungoid protist, thraustochytrid. Multivariate classification methods provided good discriminative accuracy evidenced from (i) separation of the yeasts from thraustochytrids and distinct spectral clusters among the yeasts that conformed well to their biological identities, and (ii) correct classification of yeasts from a totally independent set using cross-validation testing. The findings further indicated additional capability of the developed FPA-FTIR methodology, when combined with partial least squares regression (PLSR) analysis, for rapid monitoring of lipid production in one of the yeasts during the growth period, which was achieved at a high accuracy compared to the results obtained from the traditional lipid analysis based on gas chromatography. The developed FTIR-based approach when coupled to programmable withdrawal devices and a cytocentrifugation module would have strong potential as a novel online monitoring technology suited for bioprocessing applications and large-scale production.
机译:多不饱和脂肪酸(PUFA)消费的增加促使人们对鱼油以外的替代资源进行了研究。在这项研究中,开发了一种基于焦平面阵列傅立叶变换红外光谱(FPA-FTIR)显微技术和多变量数据分析的新方法,用于表征某些海洋微生物。与可商购的生产PUFA的海洋真菌类原生物破囊壶菌相比,从澳大利亚海岸采集的富含脂质的海洋酵母中的细胞和脂质组成具有特征。多变量分类方法提供了良好的判别准确性,这可从以下方面证明:(i)从破囊壶菌中分离出酵母,并在酵母中分离出与其生物学特性完全一致的独特光谱簇;(ii)使用交叉验证从完全独立的一组酵母中正确分类测试。研究结果进一步表明,与偏最小二乘回归(PLSR)分析结合使用时,已开发的FPA-FTIR方法具有附加功能,可以快速监测其中一个酵母在生长期内的脂质产生,与之相比,该方法的准确性较高。从基于气相色谱的传统脂质分析获得的结果。当开发的基于FTIR的方法与可编程撤药设备和细胞离心分离模块结合使用时,作为一种适用于生物加工应用和大规模生产的新型在线监测技术,将具有巨大的潜力。

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