FLASS Scholars wins three awards at 3rd Asia Innovation and Invention Exhibition

Inventions by FLASS scholars win three awards at the 3rd Asia Innovation and Invention Exhibition held in December 2023.

The “Rapid Quantification of Microplastics Using Total Organic Carbon Analysis with Simple Sample Pretreatment” has won numerous local, regional, and international invention awards.

“An Intelligent Ocular Misalignment Measurement System” provides a fully automated solution for ocular misalignment measurement. It enhances the accuracy of traditional method of measuring ocular misalignment.

“Nano-Sensor System for Meat and Seafood Monitoring” is a smart food monitor system that integrates nano-sensors with IoT and Al to advance the food storage concept and experience.

EdUHK have won three awards with inventions created by distinguished scholars at FLASS at the 3rd Asia Innovation and Invention Exhibition (AEII) held on 7 and 8 December 2023. Even though it was the first time the University has participated in AEII, the three projects presented at the exhibition captured the attention of industry experts.


The AEII, Asia’s annual exhibition and competition dedicated to showcasing innovations and inventions from the region, was held between 7 and 8 December 2023 at the Hong Kong Convention and Exhibition Centre. The exhibition was organised by the Hong Kong Exporters’ Association partnered with Palexpo, the organiser of the International Exhibition of Inventions Geneva. The event featured over 110 inventions vying for 46 awards.


“Rapid Quantification of Microplastics Using Total Organic Carbon Analysis with Simple Sample Pretreatment” is a groundbreaking innovation by Dr Chris Tsang Yiu-fai, Associate Professor from Department of Science and Environmental Studies (SES), and his team. Awarded a gold medal, the ingenious design and potential for real-world impact of the invention impressed the judges. The invention is an all-in-one semi-automatic sample pre-treatment device. This device can efficiently and accurately quantify microplastic amounts in water and slug samples at a low cost.

“Nano-Sensor System for Meat and Seafood Monitoring” invented by Professor Stephen Chow Cheuk-fai, Professor (Practice) at SES, and his team was awarded a silver medal. It is a smart food monitor system that integrates nano-sensors with IoT and Al to advance the food storage concept and experience. The system is designed to monitor the spoilage level of fresh and preserved meat and seafood by detecting biomarkers they release.

Also awarded a silver medal was “An Intelligent Ocular Misalignment Measurement System” designed by Dr Fu Hong, Assistant Professor from the Department of Mathematics and Information Technology (MIT). Dr Fu’s invention provides a fully-automated and efficient method for rapid strabismus diagnosis. It substantially improves the accuracy of ocular misalignment measurement and has enormous potential to help mitigate the shortage of eye disease professionals.

Professor Li Wai-keung, Dean of FLASS, congratulated the three awardees and their teams. “Inventions, simple or big, are advancing human civilisation. I am deeply gratified that our scholars are making genuine efforts to create and solve real-life problems. We will continue to overcome challenges and go beyond conventional research to create inventions and innovation that can transform the world and make a real difference in people’s lives,” Professor Li said.

Details of the award-winning projects:

Project Name

Principal Investigator(s)

Description

Medal

Rapid Quantification of Microplastics Using Total Organic Carbon Analysis with Simple Sample Pretreatment

Dr Chris Tsang Yiu-fai, Associate Professor at SES

 

An all-in-one semi-automatic sample pre-treatment device that can efficiently and accurately quantify microplastic abundance in water and slug samples.

 

View related video.

Gold

Nano-Sensor System for Meat and Seafood Monitoring

Professor Stephen Chow Cheuk-fai, Professor (Practice) at SES

A food monitoring device that offers a new and convenient way to monitor food safety, with a series of chemo sensors to detect chemical substances released from rotting food.

Silver

An Intelligent Ocular Misalignment Measurement System

Dr Fu Hong, Assistant Professor at MIT

 

This fully automated machine measures ocular misalignment, with enormous potential to help mitigate the shortage of eye professionals and provide an objective method with high granular measurement.

Silver