Development of a smart incubator for microalgae cultivation in food production: A case study of Spirulina

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-03-03 DOI:10.1016/j.compag.2025.110163
Albe Bing Zhe Chai , Bee Theng Lau , Irine Runnie Henry Ginjom , Mark Kit Tsun Tee , Pau Loke Show , Enzo Palombo
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Abstract

With the increasing awareness of nutritious food with environmentally friendly resources, microalgae cultivation is a promising sector to support the production of high-quality food. However, state-of-the-art cultivation solutions are mostly performed in large-scale settings at the industrial level. There is limited research that investigates the feasibility of developing small-scale solutions to support home-based microalgae cultivation. Hence, this study contributed to the Smart Microalgae Incubator system (SMIS), a novel and easy-to-manage IoT-based solution for small-scale home-based Spirulina cultivation. The SMIS is designed with functionalities such as growth monitoring and controlling, automated biomass harvesting, and medium recycling. A control center is included to control these operations based on the sensor readings of temperature, pH, water level, dissolved oxygen, and total dissolved solids in the main cultivation tank. Moreover, the turbidity center is designed to measure the turbidity level in the main tank so that the readiness for biomass harvesting is determined to trigger the automated harvesting. The proposed SMIS is utilized for a 125-day Spirulina cultivation and benchmarked with a control tank that cultivates Spirulina manually. Analysis of the growth rate and nutrient contents of Spirulina cultivated with both systems showed that the SMIS achieved comparable performance. Specifically, the harvested biomass at day 60 contains higher levels of protein (69.1 %), crude fat (10.3 %), and fiber (15.7 %). To conclude, the proposed SMIS is a significant and sustainable solution ideal for home-based Spirulina cultivation as a nutrient-rich food source. Further research is recommended to evaluate its effectiveness for cultivating other microalgae species. System refinement is also suggested to investigate its applicability for large-scale implementation.
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食品生产中微藻智能培养箱的研制——以螺旋藻为例
随着人们对营养食品和环境友好型食品意识的提高,微藻养殖是支持高品质食品生产的一个有前景的领域。然而,最先进的种植解决方案大多是在工业水平的大规模环境中进行的。关于开发支持家庭微藻养殖的小规模解决方案的可行性的研究有限。因此,本研究促成了智能微藻培养系统(SMIS),这是一种新颖且易于管理的基于物联网的小型家庭螺旋藻培养解决方案。SMIS具有生长监测和控制、自动生物质收获和介质回收等功能。控制中心包括控制这些操作基于传感器读数的温度,pH值,水位,溶解氧,总溶解固体在主培养槽。此外,浊度中心被设计用来测量主池中的浊度水平,从而确定生物质收集的准备情况,从而触发自动收集。建议的SMIS用于125天的螺旋藻培养,并与手动培养螺旋藻的控制池进行基准测试。对两种系统培养的螺旋藻生长速率和养分含量的分析表明,SMIS系统具有相当的性能。具体来说,第60天收获的生物质含有更高水平的蛋白质(69.1%)、粗脂肪(10.3%)和纤维(15.7%)。综上所述,SMIS是一种重要且可持续的解决方案,适合作为营养丰富的食物来源的家庭养殖螺旋藻。建议进一步研究评价其对其他微藻品种的培养效果。还建议对系统进行细化,以研究其对大规模实施的适用性。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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