Su Chia-Hung, Fu Chun-Chong, Chang Yet-Chung, Nair Giridhar R, Ye Jun-Liang, Chu I-Ming, Wu Wen-Teng
Department of Chemical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan.
Biotechnol Bioeng. 2008 Mar 1;99(4):1034-9. doi: 10.1002/bit.21623.
A method of rapid determination of chlorophyll a and lipid contents of microalgae based on colorimetric analysis of the digital images of the microalgae is proposed. The color variation of microalgae during cultivation is evaluated by the brightness of the three primary colors (red, green, and blue). The brightness values of the three primary colors are modeled as two linear correlation functions (RGB model) for microalgal chlorophyll a and lipid contents, respectively. The chlorophyll a and lipid contents predicted by the proposed model are compared with that determined by the standard methods. The good agreement of the model predictions with experimental results is demonstrated with a squared correlation coefficient (R(2)) of 0.99 for chlorophyll a and lipid. The reliability of the RGB model was verified in real cultivations of the microalgae in a photobioreactor. Growth dynamics, contents of chlorophyll a and lipid corresponded very well with previously reported studies.
提出了一种基于微藻数字图像比色分析快速测定微藻叶绿素a和脂质含量的方法。通过三原色(红、绿、蓝)的亮度评估微藻培养过程中的颜色变化。将三原色的亮度值分别建模为微藻叶绿素a和脂质含量的两个线性相关函数(RGB模型)。将所提模型预测的叶绿素a和脂质含量与标准方法测定的结果进行比较。该模型预测结果与实验结果吻合良好,叶绿素a和脂质的平方相关系数(R(2))为0.99。RGB模型的可靠性在光生物反应器中微藻的实际培养中得到了验证。生长动力学、叶绿素a和脂质含量与先前报道的研究非常吻合。