HKMU innovates microfluidics for real-time monitoring of the metabolic activity of food waste/sewage sludge anaerobic co-digestion to boost the generation of renewable energy

School of Science and Technology HKMU innovates microfluidics for real-time monitoring of the metabolic activity of food waste/sewage sludge anaerobic co-digestion to boost the generation of renewable energy

HKMU innovates microfluidics for real-time monitoring of the metabolic activity of food waste/sewage sludge anaerobic co-digestion to boost the generation of renewable energy

Date: 21 December 2023
Dr Chen Jianlin, Assistant Professor of the School of Science and Technology, and his team invent the “microfluidics analytical device” to monitor the bioactivity of “anaerobic digestion” in real time and learn about the impact of food waste on the “anaerobic digestion” of sewage sludge.

As public awareness of environmental protection grows in Hong Kong, food waste is becoming an increasing concern, thus creating demand for food waste recycling and reuse. If large amounts of food waste are not treated properly, it may contaminate the environment. The “anaerobic co-digestion” of food waste and sewage sludge produces biogas, but the biological activity of the digestion process requires close monitoring to ensure the smooth operation of “anaerobic digestion”, along with the production of biogas. Hong Kong Metropolitan University's (HKMU) School of Science and Technology has developed a “microfluidics analytical device” to monitor the bioactivity of “anaerobic digestion” in real time and learn about the impact of food waste on the “anaerobic digestion” of sewage sludge. Hence, it will help improve the efficiency of waste decomposition and generate renewable energy to convert waste into energy.

According to the Environmental Protection Department, most of the food waste in Hong Kong is disposed of in landfills, along with other municipal solid waste. In 2020, about 10,809 tonnes of municipal solid waste was sent to landfills in Hong Kong every day. Food waste accounted for about 30% of this. Earlier, the Government launched the “Food Waste/Sewage Sludge Anaerobic Co-digestion Trial Scheme”, in which food waste and sewage sludge are subjected to “anaerobic digestion”. This method employs microorganisms to digest and decompose the waste in an anaerobic condition. It has been successfully applied in various overseas countries to effectively treat both food waste and sewage sludge. While reducing the amount of waste, the process produces biogas, which can be used to generate electricity and heat for conversion into electrical energy.

Funded by the Environmental and Conservation Fund in 2021, Dr Chen Jianlin, Assistant Professor in the School of Science and Technology at HKMU, conducted research on the treatment of food waste. He discovered that when massive amounts of food waste were put into the “anaerobic digestion” system, it affects the pH value of the system and results in an imbalance in the microbial community. This causes difficulties in the effective digestion and decomposition of waste, thus undermining the performance of waste treatment.

Dr Chen's team applied “microfluidics technology” to invent its “microfluidics monitoring device”, which is a microchip equipped with a microchannel. By capturing a trace amount of food waste and sewage sludge before “anaerobic digestion”, the device can produce a fluorescent response to the microbial activity of “anaerobic digestion”, using a special built-in chemical dye. The intensity of the fluorescent response indicates the bioactivity of the “anaerobic co-digestion” of food waste and sewage sludge, allowing the operator to determine the effectiveness of the microorganisms in decomposing the waste in real time.

Unlike the existing method of laboratory testing, the “microfluidics monitoring device” can analyse the effect of different ratios of sewage sludge to food waste on the performance of “anaerobic digestion”. This helps monitor the decomposition of waste faster and more efficiently.

After repeated tests, the research team found that the ratio of sewage sludge to food waste can be adjusted to maximise the capability of the sewage sludge to undergo “anaerobic digestion”, thus achieving the optimum waste treatment outcome. Unlike “anaerobic digestion” of sewage sludge alone, the addition of food waste to the process generates more biogas, which can be recycled and converted to produce more electricity.

Dr Chen said he believes this research will help enhance the stability of food waste treatment in an anaerobic digester and the efficiency of generating renewable energy. He said, “The research results reflect the potential application of microfluidics technology in real-time monitoring of 'anaerobic digestion' processes. For example, the monitoring bioactivity of 'anaerobic co-digestion' of food waste and sewage sludge in this study enables better utilisation of food waste and the conversion of waste into energy. We hope that the findings can be applied in the community and that the 'microfluidics technology' can be extended to other areas, thus contributing to improved waste treatment and environmental protection.”

Dr Chen conducts a research on food waste treatment.
The “microfluidics analytical device” is a microchip equipped with microchannel. By capturing a trace amount of food waste and sewage sludge, the device can produce a fluorescent response to the microbial activity with a built-in special chemical dye.
Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course Code Title Credits
  COMP S321F Advanced Database and Data Warehousing 5
  COMP S333F Advanced Programming and AI Algorithms 5
  COMP S351F Software Project Management 5
  COMP S362F Concurrent and Network Programming 5
  COMP S363F Distributed Systems and Parallel Computing 5
  COMP S382F Data Mining and Analytics 5
  COMP S390F Creative Programming for Games 5
  COMP S492F Machine Learning 5
  ELEC S305F Computer Networking 5
  ELEC S348F IOT Security 5
  ELEC S371F Digital Forensics 5
  ELEC S431F Blockchain Technologies 5
  ELEC S425F Computer and Network Security 5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5