基于物联网的 Arduino 有效设计,用于生物丁醇生产中的生物反应器自动控制和样品采集

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Eakkachai Klaithin;Vissavakawn Matimapa-Kay;Wachira Daosud;Yanisa Laoonguthai
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引用次数: 0

摘要

利用 Arduino 和 ESP32 微控制器成功开发了一种自动控制方法,用于操作低成本的生物反应器原型,从而有效地生产出生物丁醇。最高细胞浓度为 10^{{8}}$ CFU/mL 的 1.26 倍,GC-FID 分析显示丙酮、丁醇和乙醇 (ABE) 的浓度分别为 0.3925、0.05304 和 1.1184 g/L。此外,还设计了一个样品采集器,样品采集精度为 10 \; \pm \; 1$ mL,时间偏差为 2 \; \pm \; 13$ s。它可以有效显示实时情况,并根据需要控制设备。Google Sheets 收集了每个参数的 43 200 个数据点,用于数据分析和观测。此外,Line 应用程序还可在采集样本时发出消息通知。自动化原型生物反应器的成本为 10 升产量 1093.61 美元,自动化样品的成本为 24 管 210.99 美元,最大容量为 15 毫升。因此,自动生物反应器和样品收集系统都能有效地进行控制和监测,有助于改进生物丁醇的生产过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective IoT-Based Arduino Design for Automated Bioreactor Control and Sample Collection in Biobutanol Production
A successful automatic control was developed using Arduino and ESP32 microcontrollers to operate a low-cost prototype bioreactor, which resulted in the effective production of biobutanol. The system maintained a temperature of 30.70 °C, an average pH of 6.61, and effectively reduced oxygen levels to 0% v/v within 130 s. The highest cell concentration was $1.26 \times 10^{{8}}$ CFU/mL, and GC-FID analysis showed acetone, butanol, and ethanol (ABE) concentrations of 0.3925, 0.05304, and 1.1184 g/L, respectively. In addition, a sample collector was designed to collect samples with a precision of $10 \; \pm \; 1$ mL and a time deviation of $2 \; \pm \; 13$ s. In terms of the cloud system, NETPIE was used for device management. It can effectively display real-time conditions and control equipment as required. Google Sheets collected 43 200 data points for each parameter for data analysis and observation. Moreover, the Line application was applied for message notification when a sample was collected. The cost of the automated prototype bioreactor was U.S. ${\$}$ 1093.61 for a 10-L production volume, and the automated sample was U.S. ${\$}$ 210.99 for 24 tubes, with a maximum volume capacity of 15 mL. Therefore, both the automated bioreactor and the sample collector system were effective for control and monitoring, contributing to improve the biobutanol production process.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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