《植物生理学报》 2021, 57(1): 216-224

一种快速准确的微藻生物量估算法

骆巧琦^1,3,*，高华²，周治东^1,3，张跃平^1,3，李海平^1,3

¹福建海洋研究所, 福建厦门361013；²厦门大学实验动物中心, 福建厦门361005；³福建省海陆界面生态环境联合重点实验室, 福建厦门361005

通信作者：骆巧琦；E-mail:

摘　要：

随着微藻在水产养殖业、生物能源、保健品制造等领域的广泛应用, 对人工培养的微藻进行实时生物量测定的需求不断增长。由于在微藻的完整生长周期中色素成分在不断变化, 传统的分光光度法这一无损监测手段会产生较大误差。本研究从微藻光谱组成进行分析, 指出单波段模型其局限性产生的机制, 并采用以分光光度法为基础的导数模型对叶绿素a进行估算。该模型不受样品所处生长周期的影响, 只需一个样品就能获得模型参数。利用该模型对叉鞭金藻(Dicrateria sp.)、等鞭金藻(Isochrysis sp.)、牟氏角毛藻(Chaetoceros muelleri)全生长周期的叶绿素a含量进行测定, 拟合度(R²)分别达到0.984、0.992、0.966。该算法简单快速, 精确度高, 非常适用于微藻培养进入平台期或衰退期的评估和判断, 可为在线监测的仪器设备的研制提供新思路。

关键词：微藻; 生物量; 分光光度法; 吸收光谱

收稿：2020-06-23   修定：2020-11-03

资助：福建省属公益类科研院所专项(2020R1006002)和产业链协同创新类公共服务平台项目子项目(16PZY002SF18-3)

Method for quickly and accurately estimating biomass concentration of microalgae

LUO Qiaoqi^1,3,*, GAO Hua², ZHOU Zhidong^1,3, ZHANG Yueping^1,3, LI Haiping^1,3

¹Fujian Institute of Oceanography, Xiamen, Fujian 361013, China; ²Laboratory Animal Center, Xiamen University, Xiamen, Fujian 361005, China; ³Fujian Provincial Key Laboratory of Coastal Ecology Environmental Studies, Xiamen, Fujian 361005, China

Corresponding author: LUO Qiaoqi; E-mail:

Abstract:

Real-time monitoring of microalgae is increasing need for a wide range of applications such as aquaculture, biofuel, nutraceuticals. The need for real-time estimating biomass concentration of microalgae cultivation is growing. Traditional spectrophotometry-based method is the most commonly-used invasive technique for estimating biomass concentration. However, significant inaccuracies can be introduced when the pigment content of the cells changes over the course of a growth cycle. The goal of this study was to explain the limitation of one-band model and to investigate a new biomass concentration estimating model based on the first derivative of absorption spectrum near 667 nm, The main advantage of the new method over traditional one is that it reduces the effect of pigment content changing during the entire growth phase while the model parameter can be generated from one training sample. The method was tested by three microalgae species (Dicrateria sp., Isochrysis sp., and Chaetoceros muelleri). The first derivative of absorbance spectra was successfully fitted to chlorophyll a concentrations of three microalgae species with goodness of fit (R²)=0.984, 0.992, and 0.966. The method provides an accurate, quick and simple tool to monitor microalgae concentrations, and a new direction for developing on-line monitoring device.

Key words: microalgae; biomass; spectrophotometry; absorption spectrum