郑兴, 吝思琪, 杨守国, 张兴志, VASQUEZHerbert Ely, 顾志峰, 王爱民. 热带普通小球藻生长过程中色素质量浓度和颜色值变化及相关性分析[J]. 南方水产科学, 2021, 17(1): 32-38. DOI: 10.12131/20200076
引用本文: 郑兴, 吝思琪, 杨守国, 张兴志, VASQUEZHerbert Ely, 顾志峰, 王爱民. 热带普通小球藻生长过程中色素质量浓度和颜色值变化及相关性分析[J]. 南方水产科学, 2021, 17(1): 32-38. DOI: 10.12131/20200076
ZHENG Xing, LIN Siqi, YANG Shouguo, ZHANG Xingzhi, VASQUEZ Herbert Ely, GU Zhifeng, WANG Aimin. Change and correlation analysis of pigment contents and color value during growth of Chlorella vulgaris[J]. South China Fisheries Science, 2021, 17(1): 32-38. DOI: 10.12131/20200076
Citation: ZHENG Xing, LIN Siqi, YANG Shouguo, ZHANG Xingzhi, VASQUEZ Herbert Ely, GU Zhifeng, WANG Aimin. Change and correlation analysis of pigment contents and color value during growth of Chlorella vulgaris[J]. South China Fisheries Science, 2021, 17(1): 32-38. DOI: 10.12131/20200076

热带普通小球藻生长过程中色素质量浓度和颜色值变化及相关性分析

Change and correlation analysis of pigment contents and color value during growth of Chlorella vulgaris

  • 摘要: 该文基于CIE-L*a*b*颜色分析系统,采用全自动分光测色仪对热带普通小球藻 (Chlorella vulgaris) 生长过程中的颜色值变化进行监测,同时测定其细胞密度及色素的质量浓度变化并进行相关分析。结果显示,热带普通小球藻生长过程中细胞密度分为接种期、快速生长期、稳定期和衰亡期4个阶段,绿色素和黄色素质量浓度和颜色参数值黄度值(b*)、色差值(△E)和饱和度(C)均呈增加趋势,而颜色参数值明度值(L*)、红度值(a*)、相角(H°)呈降低趋势;颜色参数值与细胞密度、色素质量浓度具有较强的相关性,线性回归模型拟合度较高,在快速生长期尤为显著,其中b*和△E可作为较佳的指示指标。通过量化热带普通小球藻生长过程中的颜色参数变化,建立非接触性数量及质量动态变化预测模型,可快速准确预测,为提高养殖过程中精细操作及效率提供理论基础。

     

    Abstract: Automatic color spectrometer was used based on CIE-L*a*b* color system to monitor the color value change in the growth process of Chlorella vulgaris. The cell density and pigment contents, as well as their correlational relationship were analyzed. The results show that C. vulgaris growth was divided into four phases (seeding, rapidly growing, stable and declining). The general trends of green and yellow pigments were increasing, as well as yellow value (b*), color difference (ΔE) and chroma (C), but those of lightness value (L*), red value (a*) and hue angle (H°) were decreasing. Strong correlation had been observed between color values and cell density, pigment content. The linear regression models had a high fit degree especially in rapid growing phase. The b* and ΔE values could be used as good indicators. The establishment of non-contact quantity and quality dynamic prediction model can make the prediction quick and accurate, and provide a theoretical basis for improving the precision operation and efficiency in the process of aquaculture.

     

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