碳酸氢钠培养体系中聚球藻生长-pH协同机制及预测模型研究

许云童; 于归源; 冯敏; 曹稳; 魏雯雯; 郭烈锦

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碳酸氢钠培养体系中聚球藻生长-pH协同机制及预测模型研究

更新时间：2026-07-29

- 碳酸氢钠培养体系中聚球藻生长-pH协同机制及预测模型研究
- Growth-pH Synergistic Mechanism and Predictive Model of Synechococcus in Sodium Bicarbonate Culture System
- 西安交通大学学报 2026年
- 作者机构：
  
  西安交通大学动力工程多相流国家重点实验室，710049，西安
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TK6
- 收稿：2025-12-01，
  
  修回：2026-02-13，
  
  录用：2026-04-12，
- 稿件说明：
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许云童, 于归源, 冯敏, 等. 碳酸氢钠培养体系中聚球藻生长-pH协同机制及预测模型研究[J/OL]. 西安交通大学学报, 2026.

XU Yuntong, YU Guiyuan, FENG Min, et al. Growth-pH Synergistic Mechanism and Predictive Model of Synechococcus in Sodium Bicarbonate Culture System[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026.
许云童, 于归源, 冯敏, 等. 碳酸氢钠培养体系中聚球藻生长-pH协同机制及预测模型研究[J/OL]. 西安交通大学学报, 2026. DOI：

XU Yuntong, YU Guiyuan, FENG Min, et al. Growth-pH Synergistic Mechanism and Predictive Model of Synechococcus in Sodium Bicarbonate Culture System[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026. DOI：

摘要

传统微藻培养监测依赖光密度

测量等成本高昂的技术手段，缺乏简便可靠的在线监测技术。本研究建立了基于pH特征的微藻生长预测模型，为实现低成本、非侵入式的培养过程智能监控提供了新的技术路径。通过分析不同初始接种浓度（0.1-1.3 OD

730

）、光照强度（14-181 μmol·m

-2

·s

-1

）和碳酸氢钠浓度（25-125 mM）对生长与pH动态的影响，发现生物量积累与培养液碱化过程高度同步规律，生长限制主要来自pH升高导致无机碳形态由HCO₃⁻向CO₃²⁻转化引起的可利用碳下降。基于此发现，构建了Logistic数学模型以描述生物量与pH的响应关系，15组条件下拟合优度R

值均

0.98，拐点pH稳定在9.5–9.8，且该范围对应碳源可利用性转折点。进一步建立了多因子耦合模型，并在两组独立实验中获得较好预测效果（R²

pred

=0.886–0.988，MAE=0.044–0.118）。营养代谢分析揭示了无机碳消耗与硝态氮消耗的显著相关性，表明了碳氮代谢的协同机制；脂质代谢研究表明，聚球藻脂质含量在13.0-18.7%范围内变化，脂肪酸组成以C16:0和C16:1为主（占75-85%）。通过多目标优化分析，得到较优条件为97 μmol·m

-2

·s

-1

光照强度、0.1-0.4初始接种密度和25-50 mM碳源浓度。本研究为基于pH在线监测的微藻培养过程预测与调控提供了模型基础。

Abstract

Traditional microalgae cultivation monitoring relies on costly techniques such as optical density measurement

lacking convenient and reliable online monitoring approaches. This study established a pH-based predictive model for microalgal growth

offering a novel technical pathway toward low-cost

non-invasive intelligent process monitoring. By systematically investigating the effects of initial inoculation density (0.1–1.3 OD₇₃₀)

light intensity (14–181 μmol·m⁻²·s⁻¹)

and sodium bicarbonate concentration (25–125 mM) on the growth and pH dynamics of

Synechococcus

sp.

a highly synchronous relationship between biomass accumulation and culture medium alkalinization was identified. Growth limitation was primarily attributed to the decline in bioavailable carbon resulting from the pH-driven shift of the dominant inorganic carbon species from HCO₃⁻ to CO₃²⁻

rather than direct pH inhibition. Based on this finding

a Logistic mathematical model was constructed to quantitatively describe the sigmoidal response between biomass and pH

achieving coefficients of determination (R²) exceeding 0.98 across all 15 experimental conditions

with the inflection-point pH consistently stabilizing within the range of 9.5–9.8

a region corresponding to the critical transition in carbon bioavailab

ility. A multi-factor coupled model was further developed by integrating the effects of inoculation density

light intensity

and carbon source concentration

and validated against two independent experiments

yielding satisfactory predictive performance (R²

pred

=0.886–0.988

MAE=0.044–0.118). Nutrient metabolism analysis revealed a significant correlation between inorganic carbon consumption and nitrate uptake

indicating a synergistic carbon–nitrogen metabolic mechanism. Lipid metabolism investigation showed that the total lipid content of

Synechococcus

ranged from 13.0% to 18.7%

with the fatty acid profile dominated by C16:0 and C16:1 (accounting for 75–85% of total fatty acids). Through multi-objective optimization

the favorable cultivation conditions were determined as a light intensity of 97 μmol·m⁻²·s⁻¹

an initial inoculation density of 0.1–0.4 OD₇₃₀

and a carbon source concentration of 25–50 mM. This study provides a robust model foundation for pH-based online monitoring

prediction

and regulation of microalgal cultivation processes.

关键词

Keywords

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