Leveraging the dynamics of microalgal CO2 capture to estimate the maximum inherent photosynthetic potential

IF 2.8 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of chemical technology and biotechnology Pub Date : 2024-08-05 DOI:10.1002/jctb.7720
Satyanarayana Reddy Battula, Ramkrishna Sen
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Abstract

BACKGROUND

Natural photosynthesis, utilizing intelligent molecular machinery to harness sunlight, stands as the benchmark for efficient energy generation. Despite its high quantum efficiency compared to synthetic methods, challenges persist due to dynamic nutritional and light requirements in plant, microalgae, and cyanobacteria-driven processes. Reported microalgae CO2 uptake rates rely on biomass dry cell weight measurement after certain incubation period and systematic study of required CO2 concentrations for optimal photobioreactor operation remaining unexplored. This research is thus aimed at evaluating the critical dissolved CO2 (Ccrit ∙ CO2) concentration and specific CO2 uptake rates (SCUR) of Chlorella minutissima (CM) culture in the presence of surplus light and other nutrients by online monitoring and measuring the dynamic CO2 uptake rates which will help in maintaining the optimal rate of CO2 delivery for continuous cultivation of microalgae while minimizing the escape of CO2.

RESULTS

Dissolved Ccrit ∙ CO2 was determined to be in the range of 16–20 mg/L, and the maximum SCUR in BBM (Bold Basal Medium) was found to be 0.73 mg CO2 (mg dcw ∙ h)−1. Interestingly, this SCUR value is nearly three times greater than that of the most efficient in vitro artificial photosynthetic novel pathway reported so far.

CONCLUSION

From the calculated SCUR values, it may be noted that 9.6 g of biomass can be obtained from 1 g of microalgal inoculum in a day, thereby setting a benchmark for the scientists working in the areas of bioprocess engineering, synthetic biology, and metabolic engineering to comply. © 2024 Society of Chemical Industry (SCI).

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利用微藻捕获二氧化碳的动态来估算固有光合作用的最大潜力
背景自然光合作用利用智能分子机械来利用阳光,是高效能源生产的基准。尽管与合成方法相比,自然光合作用具有较高的量子效率,但由于植物、微藻和蓝藻驱动过程对营养和光照的动态需求,自然光合作用仍然面临挑战。已报道的微藻二氧化碳吸收率依赖于一定培养期后的生物量干细胞重量测量,而对光生物反应器最佳运行所需的二氧化碳浓度的系统研究仍未进行。因此,本研究旨在通过在线监测和测量动态二氧化碳吸收率,评估在光照和其他营养物质过剩的情况下,小球藻(CM)培养的临界溶解二氧化碳(Ccrit ∙ CO2)浓度和特定二氧化碳吸收率(SCUR),这将有助于保持最佳的二氧化碳输送率,以便连续培养微藻类,同时最大限度地减少二氧化碳逃逸。结果经测定,Ccrit ∙ CO2 的溶解度为 16-20 mg/L,BBM(粗体基础培养基)中的最大 SCUR 值为 0.73 mg CO2(mg dcw ∙ h)-1。结论从计算出的 SCUR 值可以看出,1 克微藻接种物一天可获得 9.6 克生物质,从而为生物工艺工程、合成生物学和代谢工程领域的科学家树立了一个标杆。© 2024 化学工业学会(SCI)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.00
自引率
5.90%
发文量
268
审稿时长
1.7 months
期刊介绍: Journal of Chemical Technology and Biotechnology(JCTB) is an international, inter-disciplinary peer-reviewed journal concerned with the application of scientific discoveries and advancements in chemical and biological technology that aim towards economically and environmentally sustainable industrial processes.
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