Sun Xi, Zhou Xin, Yu Ran, Zhou Xiaofang, Zhang Jun, Xu Teng, Wang Jianmei, Li Mengqi, Li Xiaoting, Zhang Min, Xu Jian, Zhang Jia
College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin, 300384, China.
Tianjin Engineering Research Center of Agricultural Products Processing, Tianjin Agricultural University, Tianjin, 300384, China.
Synth Syst Biotechnol. 2024 Sep 11;10(1):110-118. doi: 10.1016/j.synbio.2024.09.004. eCollection 2025.
With rapid progress in the yeast fermentation industry, a comprehensive commercial yeast quality assessment approach integrating efficiency, accuracy, sensitivity, and cost-effectiveness is required. In this study, a new yeast quality assessment method based on single-cell Raman technology was developed and contrasted with traditional methods. The findings demonstrated significant associations (Pearson correlation coefficient of 0.933 on average) between the two methods in measuring physiological indicators, including cell viability and intracellular trehalose content, demonstrating the credibility of the Raman method compared to the traditional method. Furthermore, the sensitivity of the Raman method in viable but non-culturable cells was higher in measuring yeast cell viability (17.9 % more sensitive). According to the accurate quantitative analysis of metabolic activity level (MAL) of yeast cells, the cell vitality was accurately quantified at population and single-cell levels, offering a more comprehensive assessment of yeast fermentation performance. Overall, the single-cell Raman method integrates credibility, feasibility, accuracy, and sensitivity in yeast quality assessment, offering a new technological framework for quality assessments of live-cell yeast products.
随着酵母发酵工业的快速发展,需要一种综合了效率、准确性、灵敏度和成本效益的商业酵母质量评估方法。在本研究中,开发了一种基于单细胞拉曼技术的新型酵母质量评估方法,并与传统方法进行了对比。研究结果表明,两种方法在测量包括细胞活力和细胞内海藻糖含量在内的生理指标时存在显著关联(平均皮尔逊相关系数为0.933),这表明拉曼方法相较于传统方法具有可信度。此外,拉曼方法在测量活的但不可培养细胞中的酵母细胞活力时灵敏度更高(灵敏度高17.9%)。根据对酵母细胞代谢活性水平(MAL)的准确定量分析,在群体和单细胞水平上准确量化了细胞活力,从而对酵母发酵性能进行了更全面的评估。总体而言,单细胞拉曼方法在酵母质量评估中兼具可信度、可行性、准确性和灵敏度,为活细胞酵母产品的质量评估提供了一个新的技术框架。