生物炼制
生物量(生态学)
生产力
生化工程
环境科学
生产(经济)
生物技术
工艺工程
光强度
农业工程
计算机科学
生物燃料
工程类
生物
农学
物理
光学
经济
宏观经济学
作者
Kit Wayne Chew,Jiun Gia Khor,Hooi Ren Lim,Wen Yi Chia
出处
期刊:Current Nutrition & Food Science
[Bentham Science]
日期:2022-04-22
卷期号:18 (9): 776-779
被引量:7
标识
DOI:10.2174/1573401318666220421132428
摘要
Background: Microalgae have been a hot research topic due to their various biorefinery applications, particularly microalgae as potential alternative nutraceuticals and supplements have a large and rapidly growing market. However, commercial production is limited due to high processing cost, low efficiency, and scale up of biomass production. Objective: It is important to control the microalgae cultivation system with optimal parameters to maximize biomass productivity. The growth factors, including pH, temperature, light intensity, salinity, and nutrients, are discussed as these can significantly affect the cultivation. To monitor and control these in real-time, an automated system incorporating advanced digital technologies like sensors, controllers, artificial intelligence (AI), and the Internet of Things (IoT) could be applied. Conclusion: This perspective provides insights into the implementation of an automated microalgae cultivation system that improves productivity, effectiveness, and efficiency.
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