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AI-powered 'electronic nose' to sniff out meat freshness – Phys.org

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The e-nose comprises a ‘barcode’ that changes colour due to reactions with gases emitted by the decaying meat, and a barcode ‘reader’ in the form of a smartphone app powered by AI, and has been trained to recognise and predict meat freshness from a large library of barcode colours. Credit: Nanyang Technological University

A team of scientists led by Nanyang Technological University, Singapore (NTU Singapore) has invented an artificial olfactory system that mimics the mammalian nose to assess the freshness of meat accurately.

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The (e-nose) comprises a that changes color over time in reaction to the gasses 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 recognize and predict meat freshness from a large library of barcode colors.

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 percent accuracy. As a comparison, the research team assessed the prediction accuracy of a commonly used algorithm to measure the response of sensors like the barcode used in this e-nose. This type of analysis showed an overall accuracy of 61.7 percent.

The e-nose, described in a paper published in the scientific journal Advanced Materials in October, could help to reduce food wastage by confirming to consumers whether meat is fit for consumption, more accurately than a ‘best before’ label could, said the research team from NTU Singapore, who collaborated with scientists from Jiangnan University, China, and Monash University, Australia.

Co-lead author Professor Chen Xiaodong, the director of the Innovative Center for Flexible Devices at NTU, said: “Our proof-of-concept artificial olfactory system, which we tested in real-life scenarios, can be easily integrated into packaging materials and yields results in a short time without the bulky wiring used for electrical signal collection in some e-noses that were developed recently. These barcodes help consumers to save money by ensuring that they do not discard products that are still fit for consumption, which also helps the environment. The biodegradable and non-toxic nature of the barcodes also means they could be safely applied in all parts of the food supply chain to ensure food freshness.”

The team is now working with a Singapore agribusiness company to extend this concept to other types of perishables.

AI-powered ‘electronic nose’ to sniff out meat freshness
The barcode is attached to the underside of the PVC film that the meat is packaged in. Credit: Nanyang Technological University

A nose for freshness

The e-nose developed by NTU scientists and their collaborators comprises two elements: a colored barcode that reacts with gasses produced by decaying meat; and a barcode reader that uses AI to interpret the combination of colors on the barcode. To make the e-nose portable, the scientists integrated it into a smartphone app that can yield results in 30 seconds.

The e-nose mimics how a mammalian nose works. When gasses produced by decaying meat bind to receptors in the mammalian nose, signals are generated and transmitted to the brain. The brain then collects these responses and organizes them into patterns, allowing the mammal to identify the odor present as meat ages and rots.

In the e-nose, the 20 bars in the barcode act as the receptors. Each bar is made of chitosan (a natural sugar) embedded on a cellulose derivative and loaded with a different type of dye. These dyes react with the gasses emitted by decaying meat and change color in response to the different types and concentrations of gasses, resulting in a unique combination of colors that serves as a scent fingerprint for the state of any meat.

For instance, the first bar in the barcode contains a yellow dye that is weakly acidic. When exposed to nitrogen-containing compounds produced by decaying meat (called bioamines), this yellow dye changes into blue as the dye reacts with these compounds. The color intensity changes with an increasing concentration of bioamines as meat decays further.

For this study, the scientists first developed a classification system (fresh, less fresh, or spoiled) using an international standard that determines meat freshness. This is done by extracting and measuring the amount of ammonia and two other bioamines found in fish packages wrapped in widely-used transparent PVC (polyvinyl chloride) packaging film and stored at 4°C (39°Fahrenheit) over five days at different intervals.

They concurrently monitored the freshness of these fish packages with barcodes glued on the inner side of the PVC film without touching the fish. Images of these barcodes were taken at different intervals over five days.

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Credit: Nanyang Technological University

E-nose achieves 98.5 percent overall accuracy

A type of AI algorithm known as deep convolutional neural networks was then trained with images of different barcodes to identify patterns in the scent fingerprint that correspond to each category of freshness.

To gage the prediction accuracy of their e-nose, the NTU scientists then monitored the freshness of commercially packed chicken, fish, and beef with barcodes glued on the packaging film, and stored at 25°C (77°Fahrenheit). Over 4,000 images of the barcodes from six meat packages were taken at different time intervals over 48 hours without opening the different packages.

The research team first trained their system to pick out patterns among the scent fingerprints captured in 3,475 barcode images, before testing the system’s accuracy on the remaining images.

The results revealed an overall 98.5 percent accuracy—100 percent accuracy in identifying spoiled meats, and a 96 to 99 percent accuracy for fresh and less fresh meats.

As a comparison, the research team randomly selected 20 barcode images from each freshness category to assess the prediction accuracy of Euclidean distance analysis, a commonly used method to measure the response of sensors like the barcode used in this e-nose. This analysis showed an overall accuracy of 61.7 percent.

Prof Chen, President’s Chair Professor in Materials Science and Engineering at NTU, said: “While e-noses have been extensively researched, there are still bottlenecks to their commercialisation due to current prototypes’ issues with accurately detecting and identifying the odor. We need a system that has both a robust sensor setup and a data analysis method that can accurately predict scent fingerprints, which is what our e-nose offers. Its non-destructive, automated and real-time monitoring capability could also be used to recognize the types of gasses that other types of perishable food emit as they become less fresh, providing a broadly applicable new platform for food quality control, which is what we are working towards now.”


Explore further

An electronic nose for wine


More information:
Lingling Guo et al. Portable Food‐Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks, Advanced Materials (2020). DOI: 10.1002/adma.202004805

Citation:
AI-powered ‘electronic nose’ to sniff out meat freshness (2020, November 10)
retrieved 10 November 2020
from https://phys.org/news/2020-11-ai-powered-electronic-nose-meat-freshness.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

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Dragonfly: NASA Just Confirmed The Most Exciting Space Mission Of Your Lifetime – Forbes

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NASA has confirmed that its exciting Dragonfly mission, which will fly a drone-like craft around Saturn’s largest moon, Titan, will cost $3.35 billion and launch in July 2028.

Titan is the only other world in the solar system other than Earth that has weather and liquid on the surface. It has an atmosphere, rain, lakes, oceans, shorelines, valleys, mountain ridges, mesas and dunes—and possibly the building blocks of life itself. It’s been described as both a utopia and as deranged because of its weird chemistry.

Set to reach Titan in 2034, the Dragonfly mission will last for two years once its lander arrives on the surface. During the mission, a rotorcraft will fly to a new location every Titan day (16 Earth days) to take samples of the giant moon’s prebiotic chemistry. Here’s what else it will do:

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  • Search for chemical biosignatures, past or present, from water-based life to that which might use liquid hydrocarbons.
  • Investigate the moon’s active methane cycle.
  • Explore the prebiotic chemistry in the atmosphere and on the surface.

Spectacular Mission

“Dragonfly is a spectacular science mission with broad community interest, and we are excited to take the next steps on this mission,” said Nicky Fox, associate administrator of the Science Mission Directorate at NASA Headquarters in Washington. “Exploring Titan will push the boundaries of what we can do with rotorcraft outside of Earth.”

It comes in the wake of the Mars Helicopter, nicknamed Ingenuity, which flew 72 times between April 2021 and its final flight in January 2023 despite only being expected to make up to five experimental test flights over 30 days. It just made its final downlink of data this week.

Dense Atmosphere

However, Titan is a completely different environment to Mars. Titan has a dense atmosphere on Titan, which will make buoyancy simple. Gravity on Titan is just 14% of the Earth’s. It sees just 1% of the sunlight received by Earth.

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The atmosphere is 98% nitrogen and 2% methane. Its seas and lakes are not water but liquid ethane and methane. The latter is gas in Titan’s atmosphere, but on its surface, it exists as a liquid in rain, snow, lakes, and ice on its surface.

COVID-Affected

Dragonfly was a victim of the pandemic. Slated to cost $1 billion when it was selected in 2019, it was meant to launch in 2026 and arrive in 2034 after an eight-year cruise phase. However, after delays due to COVID, NASA decided to compensate for the inevitable delayed launch by funding a heavy-lift launch vehicle to massively shorten the mission’s cruise phase.

The end result is that Dragonfly will take off two years later but arrive on schedule.

Previous Visit

Dragonfly won’t be the first time a robotic probe has visited Titan. As part of NASA’s landmark Cassini mission to Saturn between 2004 and 2017, a small probe called Huygens was despatched into Titan’s clouds on January 14, 2005. The resulting timelapse movie of its 2.5 hours descent—which heralded humanity’s first-ever (and only) views of Titan’s surface—is a must-see for space fans. It landed in an area of rounded blocks of ice, but on the way down, it saw ancient dry shorelines reminiscent of Earth as well as rivers of methane.

The announcement by NASA makes July 2028 a month worth circling for space fans, with a long-duration total solar eclipse set for July 22, 2028, in Australia and New Zealand.

Wishing you clear skies and wide eyes.

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Scientists claim evidence of 'Planet 9' in our solar system – Supercar Blondie

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A team of scientists claims to have evidence that there is another hidden planet – nicknamed ‘Planet 9’ – lurking in our solar system.

Of course, there have been changes to the number of planets in our solar system over recent – in space terms, anyway – years, as Pluto is no longer considered a proper planet.

Seems a bit harsh, doesn’t it?

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However, a team of astronomers now believe that they have the strongest evidence yet that there is another mysterious planet hovering around our sun.

READ MORE! James Webb Telescope observes light on Earth-like planet for the first time in history

The theory that there could be other planets orbiting our star has been around for years, as scientists have noticed some unusual phenomena on the edge of the solar system that suggest the existence of another celestial body.

The theory that another planet is responsible would also explain the orbit of other objects that are outliers in our system, sitting more than 250 times Earth’s distance from the sun.

Scientist Konstantin Bogytin and his team have long been proponents of this ‘Planet 9’ theory, and now they believe they have ‘the strongest statistical evidence yet that Planet 9 is really out there’.

As we know, it wouldn’t be the only strange thing in our solar system.

Or outside, for that matter.

Perhaps they just need to point a massive space telescope at it and they’ll find evidence of alien life out there.

This new study by Bogytin and his team focused on a number of Trans-Neptunian Objects (TNOs) that lie outside the orbit of Neptune towards the outer reaches of our solar system.

In analyzing the movements of these objects – which can be affected by the orbit of Neptune, as well as passing stars and the ‘galactic tide’ – the scientists concluded that there could be another unseen planet out there.

Dr Bogytin pointed out that there are other potential explanations for the behavior of these objects, but – he believes – Planet 9 is the best bet.

Once the Vera C. Rubin Observatory in Chile becomes active, we might get the best look we’ve had yet.

In a paper, the team wrote: “This upcoming phase of exploration promises to provide critical insights into the mysteries of our solar system’s outer reaches.”

That paper, entitled ‘Generation of Low-Inclination, Neptune-Crossing TNOs by Planet Nine’ is available to read here.

Images in this article were generated using AI

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Marine plankton could act as alert in mass extinction event: UVic researcher – Saanich News

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A University of Victoria micropaleontologist found that marine plankton may act as an early alert system before a mass extinction occurs.

With help from collaborators at the University of Bristol and Harvard, Andy Fraass’ newest paper in the Nature journal shows that after an analysis of fossil records showed that plankton community structures change before a mass extinction event.

“One of the major findings of the paper was how communities respond to climate events in the past depends on the previous climate,” Fraass said in a news release. “That means that we need to spend a lot more effort understanding recent communities, prior to industrialization. We need to work out what community structure looked like before human-caused climate change, and what has happened since, to do a better job at predicting what will happen in the future.”

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According to the release, the fossil record is the most complete and extensive archive of biological changes available to science and by applying advanced computational analyses to the archive, researchers were able to detail the global community structure of the oceans dating back millions of years.

A key finding of the study was that during the “early eocene climatic optimum,” a geological era with sustained high global temperatures equivalent to today’s worst case global warming scenarios, marine plankton communities moved to higher latitudes and only the most specialized plankton remained near the equator, suggesting that the tropical temperatures prevented higher amounts of biodiversity.

“Considering that three billion people live in the tropics, the lack of biodiversity at higher temperatures is not great news,” paper co-leader Adam Woodhouse said in the release.

Next, the team plans to apply similar research methods to other marine plankton groups.

Read More: Global study, UVic researcher analyze how mammals responded during pandemic

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