AI-powered ‘electronic nose’ to sniff out meat freshness – Professor Chen Xiaodong
We are pleased to share the research achievement of Professor Chen Xiaodong and his team, which has been featured in various media.
The research team has invented an artificial olfactory system that mimics the mammalian nose to assess the freshness of meat accurately. The ‘electronic nose’ (e-nose) comprises a ‘barcode’ that changes colour over time in reaction to the gases produced by meat as it decays, and a barcode ‘reader’ in the form of a smartphone app powered by artificial intelligence (AI). The e-nose has been trained to recognise and predict meat freshness from a large library of barcode colours. When tested on commercially packaged chicken, fish and beef meat samples that were left to age, the team found that their deep convolutional neural network AI algorithm that powers the e-nose predicted the freshness of the meats with a 98.5% accuracy.
The research team has also published their findings in a peer-reviewed journal, Advanced Materials with the title ‘Portable Food-Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks’”. The research article can be found via this link: https://onlinelibrary.wiley.com/doi/10.1002/adma.202004805
Prof Chen Xiaodong and his team with their e-nose. PHOTO: NTUSG Youtube
Our heartiest congratulations to Prof Chen and his team on their excellent achievement!
Media Coverage:
CNAonline, 10 Nov
Yahoo US, 11 Nov
Lianhe Zaobao, 11 Nov, page 6
Channel 8 online, 10 Nov
CNA938, 10 Nov
Capital 958FM, 10 Nov, 6pm
Capital 958 FM, 8 Dec, 4.15pm
International Business Times, 10 Nov
Singapore Business Review, 11 Nov
MIT Technology Review, 2 Dec
New Atlas (US), 10 Nov
Cosmos (Australia), 12 Nov
Science Daily, 10 Nov
Lifewire (US), 16 Nov
SciTech Daily (US), 13 Nov
New Food (UK), 13 Nov
Electronics360 (US), 13 Nov
MiNDFOOD (New Zealand), January 2021 issue, page 35
China Press (Malaysia)
Phoenix TV (China), 2 Dec
Yahoo (Spain), 10 Nov
Thai News Network TV, 10 Nov
TN (Argentinian TV), 11 Nov
1boon, Kakao (Korea), 1 Dec
The Next Web (the Netherlands), 10 Nov
Food Ingredients First (the Netherlands), 11 Nov
Tencent News (China), 11 Nov
cnBeta (China), 10 Nov
dy163 (China), 30 Nov
Naftemporiki (Greece), 10 Nov
HVG (Hungary), 10 Nov
Contexto Ganadero (Columbia), 13 Nov
Dantri News (Vietnam), 16 Nov
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