微藻余碳捕集及系统集成优化实验数据集

本数据集围绕微藻余碳捕集及系统集成优化，系统采集并整合了2022年11月至2025年10月在中国科学院广州能源研究所开展的系列实验数据。研究主要以产油微藻小球藻1068和产油酵母为对象，通过优化光照周期、营养方式（自养、异养、混养）、化学吸收剂种类（MEA、DETA、AMP）及其浓度等关键条件，探究了微藻对酵母发酵余液中残余糖源与CO2的高效利用途径。数据集涵盖了微藻生长（OD680、叶绿素含量、干重）、糖消耗（葡萄糖、木糖）、光合活性（Fv/Fm）、油脂含量与组成、以及酵母发酵过程中碳氮磷代谢等多维度参数，并通过高效液相色谱、气相色谱等仪器进行精准测定。数据采集过程中实施了严格的质控措施，包括平行实验、重复测量、仪器校准与第三方验证。本数据集系统揭示了微藻-酵母协同利用木质纤维素衍生物质资源的潜力，为提升生物炼制过程中碳源利用效率、实现余碳资源化及生物柴油规模化生产提供了可靠的数据支撑，具有重要的理论与应用价值。This dataset focuses on microalgal residual carbon capture and systematic integration optimization, and systematically collects and integrates a series of experimental data conducted at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, from November 2022 to October 2025. The research primarily takes oleaginous microalga Chlorella 1068 and oleaginous yeast as research objects, and explores the efficient utilization pathways of residual sugar sources and CO₂ in yeast fermentation supernatant by microalgae by optimizing key conditions including light cycle, nutrition modes (autotrophy, heterotrophy, mixotrophy), types of chemical absorbents (MEA, DETA, AMP) and their concentrations. The dataset covers multi-dimensional parameters such as microalgal growth (OD₆₈₀, chlorophyll content, dry weight), sugar consumption (glucose, xylose), photosynthetic activity (Fv/Fm), lipid content and composition, as well as carbon, nitrogen and phosphorus metabolism during yeast fermentation, which are accurately measured via instruments including high-performance liquid chromatography (HPLC) and gas chromatography (GC). Strict quality control measures were implemented throughout the data collection process, including parallel experiments, repeated measurements, instrument calibration and third-party verification. This dataset systematically reveals the potential of microalgae-yeast synergistic utilization of lignocellulosic-derived biomass resources, providing reliable data support for improving carbon source utilization efficiency in biorefining processes, realizing residual carbon resource recovery and large-scale biodiesel production, and holds significant theoretical and practical application value.

搜集汇总

背景与挑战

背景概述

该数据集系统采集了2022年11月至2025年10月期间，围绕微藻余碳捕集及系统集成优化开展的实验数据。研究以产油微藻和酵母为对象，通过优化光照、营养方式及化学吸收剂等条件，探究微藻对酵母发酵余液中残余糖源与CO2的高效利用。数据集涵盖生长、代谢、油脂等多维度参数，为提升碳源利用效率和生物柴油生产提供了数据支撑。