In the present economy, difficulties to access energy sources are real drawbacks to maintain our current lifestyle. In fact, increasing interests have been gathered around efficient strategies to use energy sources that do not generate high CO₂ titers. Thus, science-funding agencies have invested more resources into research on hydrogen among other biofuels as interesting energy vectors. This article reviews present energy challenges and frames it into the present fuel usage landscape. Different strategies for hydrogen production are explained and evaluated. Focus is on biological hydrogen production; fermentation and photon-fuelled hydrogen production are compared. Mathematical models in biology can be used to assess, explore and design production strategies for industrially relevant metabolites, such as biofuels. We assess the diverse construction and uses of genome-scale metabolic models of cyanobacterium Synechocystis sp. PCC6803 to efficiently obtain biofuels. This organism has been studied as a potential photon-fuelled production platform for its ability to grow from carbon dioxide, water and photons, on simple culture media. Finally, we review studies that propose production strategies to weigh this organism’s viability as a biofuel production platform. Overall, the work presented in this review unveils the industrial capabilities of cyanobacterium Synechocystis sp. PCC6803 to evolve interesting metabolites as a clean biofuel production platform.

在当前的经济中，难以获得能源是维持我们目前生活方式的真正弊端。实际上，围绕使用不产生高CO _2的能源的有效策略，人们的兴趣日益浓厚。滴度。因此，科学资助机构已经将更多资源投入到氢等生物燃料研究中，作为有趣的能源载体。本文回顾了当前的能源挑战，并将其纳入当前的燃料使用前景。解释和评估了不同的制氢策略。重点是生物制氢；比较了发酵和光子制氢。生物学中的数学模型可用于评估，探索和设计工业相关代谢物（例如生物燃料）的生产策略。我们评估蓝藻集胞藻的基因组规模代谢模型的多样化构建和使用sp。PCC6803可以有效地获得生物燃料。由于该生物能够在简单的培养基上从二氧化碳，水和光子中生长出来，因此已被研究为潜在的以光子为燃料的生产平台。最后，我们回顾了提出生产策略以权衡该生物体作为生物燃料生产平台的生存能力的研究。总体而言，在本次审查提出的工作推出蓝藻的工业能力蓝藻藻。PCC6803可以将有趣的代谢产物进化为清洁的生物燃料生产平台。