Karlo Jiro, Carrasco-Navarro Victor, Koistinen Arto, Singh Surya Pratap
Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad Dharwad 580011 Karnataka India
Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio Campus Yliopistonranta 8 Kuopio 70210 Finland.
RSC Adv. 2024 Oct 21;14(45):33323-33331. doi: 10.1039/d4ra05187d. eCollection 2024 Oct 17.
Waste cooking oil is a major pollutant that contaminates terrestrial and aquatic bodies which is generated from household kitchens and eateries. The bioremediation of waste cooking oil (WCO) into microbial oil, also known as single microbial cell oil (SMCO), can be accomplished by oleaginous microbes. Conventional methods excel in SMCO analysis but lack efficacy for or lysis-free monitoring of nascent SMCO synthesis and turnover. To bridge this knowledge gap, this study shows the applicability of Raman reverse stable isotope probing (RrSIP) in monitoring time-dependent nascent SMCO synthesis and assimilation in , an oleaginous yeast grown in hydrophilic (glucose) as well as hydrophobic carbon sources (cooking oil and waste cooking oil). This study also combines the RrSIP approach with Raman imaging for temporal visualization of the distribution and turnover dynamics of the SMCO pool in a single cell. Our finding provides a unique perspective utilizing optical spectroscopy methods for lysis-free SMCO analysis and holds potential for prospective utility as an adjunct tool in bioprocess and biofuel industries.
废弃食用油是一种主要污染物，会污染陆地和水体，它产生于家庭厨房和餐馆。将废弃食用油（WCO）生物修复为微生物油，也称为单一微生物细胞油（SMCO），可通过产油微生物来实现。传统方法在SMCO分析方面表现出色，但在新生SMCO合成和周转的无裂解监测方面缺乏效果。为了填补这一知识空白，本研究展示了拉曼反向稳定同位素探测（RrSIP）在监测产油酵母在亲水性（葡萄糖）以及疏水性碳源（食用油和废弃食用油）中生长时新生SMCO随时间的合成和同化情况的适用性。本研究还将RrSIP方法与拉曼成像相结合，以便对单细胞中SMCO库的分布和周转动态进行时间可视化。我们的发现提供了一种利用光谱学方法进行无裂解SMCO分析的独特视角，并有望作为生物过程和生物燃料行业的辅助工具发挥潜在作用。
