Bernardi Andrea, Nikolaou Andreas, Meneghesso Andrea, Morosinotto Tomas, Chachuat Benoît, Bezzo Fabrizio
CAPE-Lab (Computer-Aided Process Engineering Laboratory) and PAR-Lab (Padova Algae Research Laboratory), Department of Industrial Engineering, University of Padova, Padova, Italy.
Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom.
PLoS One. 2016 Apr 7;11(4):e0152387. doi: 10.1371/journal.pone.0152387. eCollection 2016.
Reliable quantitative description of light-limited growth in microalgae is key to improving the design and operation of industrial production systems. This article shows how the capability to predict photosynthetic processes can benefit from a synergy between mathematical modelling and lab-scale experiments using systematic design of experiment techniques. A model of chlorophyll fluorescence developed by the authors [Nikolaou et al., J Biotechnol 194:91-99, 2015] is used as starting point, whereby the representation of non-photochemical-quenching (NPQ) process is refined for biological consistency. This model spans multiple time scales ranging from milliseconds to hours, thus calling for a combination of various experimental techniques in order to arrive at a sufficiently rich data set and determine statistically meaningful estimates for the model parameters. The methodology is demonstrated for the microalga Nannochloropsis gaditana by combining pulse amplitude modulation (PAM) fluorescence, photosynthesis rate and antenna size measurements. The results show that the calibrated model is capable of accurate quantitative predictions under a wide range of transient light conditions. Moreover, this work provides an experimental validation of the link between fluorescence and photosynthesis-irradiance (PI) curves which had been theoricized.
对微藻中光限制生长进行可靠的定量描述是改进工业生产系统设计与运行的关键。本文展示了如何通过运用实验设计技术,将数学建模与实验室规模实验相结合,来提升预测光合过程的能力。作者[Nikolaou等人,《生物技术杂志》194:91 - 99,2015]开发的叶绿素荧光模型被用作起点,在此基础上,为保证生物学一致性,对非光化学猝灭(NPQ)过程的表示进行了优化。该模型涵盖了从毫秒到小时的多个时间尺度,因此需要结合多种实验技术,以获得足够丰富的数据集,并确定模型参数具有统计学意义的估计值。通过结合脉冲幅度调制(PAM)荧光、光合速率和天线尺寸测量,对微藻盐生杜氏藻验证了该方法。结果表明,校准后的模型能够在广泛的瞬时光照条件下进行准确的定量预测。此外,这项工作为荧光与光合 - 辐照度(PI)曲线之间的联系提供了实验验证,此前该联系只是理论上的。