Wieland Karin, Kuligowski Julia, Ehgartner Daniela, Ramer Georg, Koch Cosima, Ofner Johannes, Herwig Christoph, Lendl Bernhard
1 Institute of Chemical Technologies and Analytics, TU Wien, Vienna, Austria.
2 Neonatal Research Unit, Health Research Institute Hospital La Fe, Valencia, Spain.
Appl Spectrosc. 2017 Dec;71(12):2661-2669. doi: 10.1177/0003702817727728. Epub 2017 Sep 15.
We report on a label-free, noninvasive method for determination of spore inoculum quality of Penicillium chrysogenum prior to cultivation/germination. Raman microspectroscopy providing direct, molecule-specific information was used to extract information on the viability state of spores sampled directly from the spore inoculum. Based on the recorded Raman spectra, a supervised classification method was established for classification between living and dead spores and thus determining spore inoculum quality for optimized process control. A fast and simple sample preparation method consisting of one single dilution step was employed to eliminate interfering signals from the matrix and to achieve isolation of single spores on the sample carrier (CaF). Aiming to avoid any influence of the killing procedure in the Raman spectrum of the spore, spores were considered naturally dead after more than one year of storage time. Fluorescence staining was used as reference method. A partial least squares discriminant analysis classifier was trained with Raman spectra of 258 living and dead spores (178 spectra for calibration, 80 spectra for validation). The classifier showed good performance when being applied to a 1 µL droplet taken from a 1:1 mixture of living and dead spores. Of 135 recorded spectra, 51% were assigned to living spores while 49% were identified as dead spores by the classifier. The results obtained in this work are a fundamental step towards developing an automated, label-free, and noninvasive screening method for assessing spore inoculum quality.
我们报告了一种用于在产黄青霉培养/萌发前测定其孢子接种物质量的无标记、非侵入性方法。利用能提供直接的、分子特异性信息的拉曼光谱显微镜,从孢子接种物中直接采集的孢子来提取有关其活力状态的信息。基于所记录的拉曼光谱,建立了一种监督分类方法,用于区分活孢子和死孢子,从而确定孢子接种物质量以实现优化的过程控制。采用了一种由单一稀释步骤组成的快速简单样品制备方法,以消除基质的干扰信号,并在样品载体(CaF)上实现单个孢子的分离。为避免杀灭程序对孢子拉曼光谱产生任何影响,储存时间超过一年的孢子被视为自然死亡。荧光染色用作参考方法。使用258个活孢子和死孢子的拉曼光谱(178个光谱用于校准,80个光谱用于验证)训练了偏最小二乘判别分析分类器。当将该分类器应用于从活孢子和死孢子1:1混合物中取出的1 μL液滴时,表现出良好性能。在记录的135个光谱中,分类器将51%的光谱归为活孢子,49%的光谱鉴定为死孢子。这项工作所获得的结果是朝着开发一种用于评估孢子接种物质量的自动化、无标记和非侵入性筛选方法迈出的重要一步。