基于高光谱的微藻生物膜生长特性研究

陈明; 汪正坤; 辛鑫; 张恋; 钟年丙

doi:10.3788/OPE.20172513.0039

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基于高光谱的微藻生物膜生长特性研究

现代应用光学 | 更新时间：2020-08-13

- 基于高光谱的微藻生物膜生长特性研究
- Study on growth characteristics of microalgae biofilm based on hyperspectral imaging
- 光学精密工程 2017年25卷第10s期页码：39-45
- 作者机构：
  
  重庆理工大学光纤传感与光电检测重庆市重点实验室重庆市现代光电检测技术与仪器重点实验室重庆,400054
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No.51406020）();重庆市教委科学技术研究资助项目（No.KJ1600901）();重庆市科委科学技术研究资助项目（No.cstc2
- DOI：10.3788/OPE.20172513.0039
  中图分类号： TN24
- 收稿日期：2017-05-27，
  
  修回日期：2017-07-11，
  
  纸质出版日期：2017-11-25
- 稿件说明：
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陈明, 汪正坤, 辛鑫等. 基于高光谱的微藻生物膜生长特性研究[J]. 光学精密工程, 2017,25(10s): 39-45

CHEN Ming, WANG Zheng-kun, XIN Xin etc. Study on growth characteristics of microalgae biofilm based on hyperspectral imaging[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 39-45
陈明, 汪正坤, 辛鑫等. 基于高光谱的微藻生物膜生长特性研究[J]. 光学精密工程, 2017,25(10s): 39-45 DOI： 10.3788/OPE.20172513.0039.

CHEN Ming, WANG Zheng-kun, XIN Xin etc. Study on growth characteristics of microalgae biofilm based on hyperspectral imaging[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 39-45 DOI： 10.3788/OPE.20172513.0039.

摘要

为了获得微藻生物膜培养的最佳环境条件，首先利用高光谱成像技术在线实时监测了不同光强、pH及温度下的微藻生物膜生长光谱信息。提取了生物膜光谱特征变量，计算特征变量与生物膜干重之间的相关系数，采用二次函数对相关特征变量进行归一化处理，然后利用指数函数进行权重分配组合，建立了生物膜生长过程预测模型。最后利用该模型对生物膜生长过程进行了预测。实验及模拟结果表明：小球藻生物膜的最佳培养温度为28℃、光照强度为3 500 lx、PH为8；在最优化培养条件下，小球藻生物膜在培养到第七天时进入稳定生长期，随后生物膜不再生长。该方法可以快速、无损地监测生物膜高光谱的生长特性。

Abstract

To obtain the optimal environmental conditions for microalgae biofilm culture

the spectral information of the biofilms under different culture conditions including light intensity

pH value and temperature

were monitored online and in real time

using hyperspectral imaging technology. The characteristic variables of biofilm spectral characteristics were extracted

and the correlation coefficient between the characteristic variables and dry weight of the biofilms was calculated. Furthermore

the characteristic variables of the biofilms were normalized based on the quadratic function and were combined weight by using the exponential function

thus establishing the prediction model of biofilm growth process. Then the biofilm growth process was predicted by the established model. The results show that the optimal culture conditions of the biofilm were the temperature of 28℃

light intensity of 3 500 lx

and PH of 8; the mature biofilm

which will no longer grow

can be obtained under the optimized culture conditions after 7 days in culture. The growth characteristics of biofilm can be quickly and non-destructively monitored by the hyperspectral imaging method.

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Keywords

references

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