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Raman microspectroscopy based sensor of algal lipid unsaturation

机译：基于拉曼光谱的藻类脂质不饱和度传感器

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Raman spectroscopy is a powerful tool for chemical analysis. This technique can elucidate fundamental questions about the metabolic processes and intercellular variability on a single cell level. Therefore, Raman spectroscopy can significantly contribute to the study and use of microalgae in systems biology and biofuel technology. Raman spectroscopy can be combined with optical tweezers. We have employed microfluidic system to deliver the sampled microalgae to the Raman-tweezers. This instrument is able to measure chemical composition of cells and to track metabolic processes in vivo, in real-time and label-free making it possible to detect population variability in a wide array of traits. Moreover, employing an active sorting switch, cells can be separated depending on input parameters obtained from Raman spectra. We focus on algal lipids which are promising potential products for biofuel as well as for nutrition. Important parameter characterizing the algal lipids is the degree of unsaturation of the constituent fatty acids. We demonstrate the capacity of our Raman tweezers based sensor to sort cells according to the degree of unsaturation in lipid storage bodies of individual living algal cells
机译：拉曼光谱是化学分析的有力工具。这项技术可以阐明有关单个细胞水平上代谢过程和细胞间变异性的基本问题。因此，拉曼光谱法可以极大地促进微藻在系统生物学和生物燃料技术中的研究和使用。拉曼光谱可以与光镊结合使用。我们已经采用微流控系统将采样的微藻递送到拉曼镊子。该仪器能够实时，无标签地测量细胞的化学组成并跟踪体内的代谢过程，从而有可能检测多种性状的种群变异性。此外，采用主动分类开关，可以根据从拉曼光谱获得的输入参数来分离细胞。我们专注于藻类脂质，它们有望成为生物燃料和营养的潜在产品。表征藻类脂质的重要参数是组成脂肪酸的不饱和度。我们展示了基于拉曼镊子的传感器根据单个活藻细胞的脂质存储体中不饱和度对细胞进行分选的能力

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