This Artificial Nose Sniffs Out Rotting Food | NOVA | PBS
PJRgekepyb0 • 2024-12-16
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Kind: captions Language: en over thousands of years we've gotten more and more efficient at growing food for an Ever growing population but the road from Farm to Table can be long and wasteful globally a third of all crops go bad before they reach the table and with food production accounting for about 30% of global greenhouse gas emissions reducing food waste could be one solution to our climate problem at least that's the idea behind a Norwegian rot sniffing robot the bomma Food Warehouse in Oslo Norway an person is the director of quality assurance we get about 2,000 pallets in here every night the produce comes in from 80 countries they're being scanmed here and then they go straight to the quality control tower this is the first control that is being done when it comes to Norway inspectors screen the produce for spoilage as best they can before sending it to the supermarket the problem is we don't have very much time to inspect the pallets it's maximum 60 seconds and also due to the setup of the quality station we're only able to control the two upper layers maximum that means even with experience visual inspection only goes so far are inevitably some spoiled produce goes undetected and gets shipped along with the rest of the produce all over Norway to local supermarkets so our question was how can we check the whole pallet so that's when we started to look after new technology the goal is increased freshness and reduced food waste if we can detect spoilage earlier in the value chain we are also able to do more with the products that we might reject we can sort them we can give them to food banks Bama connected with tunable a small tech company in Oslo inventors of an artificial nose or machine all faction device that is already in use monitoring the amount of greenhouse gases emitted by container ships tyu maduma is tun's business development manager Bama came to us they explained that they had this problem of determining the quality of the fruits and vegetables being able to do it at a large scale and being accurate that allow us to extend our senses so we've done that for site we've done that for hearing so we have microscopes we have hearing aid but smell is still a sense that we haven't digitalized and that's what we're doing Christian HOV is tunable CEO when you take a breath you're doing a multi-gas analyzis you're pulling in molecules and those molecules are detected by your nose and then it's detected by your brain to tell you what you're smelling the challenge for tunable was to take their existing analyzer for emission analysis and increase its sensitivity without making the device too big and cumbersome to be useful on a warehouse floor so why use smell our noses are sensitive detectors able to identify a wide variety of chemicals in the air even at low concentrations Airborne molecules can also potentially reveal what's hidden in the pallets these molecules tell a chemical story of fruits and vegetables as they rot but the device would have to be far more sensitive than a human nose and able to detect spoilage more reliably than a human eye produce like all living things decays after death as microbes consume dead cells releasing volatile organic compounds in theory the team should be able to tune their machine to recognize those molecules we knew that we could look at complex gases we redesigned emission analyzer and then we started testing Ivan YULA reer is the lead engineer on the tunable Enos project so now I'm going to measure fresh grapes and then some spoiled grapes to see if our Enos can smell the difference I'll start with collecting a sample from the ambient air uh as a baseline for the measurement and the noise you can hear now is actually the compressor pump pulling air uh into the analyzer so now I'm going to take a sample from the fresh grapes to see if there is anything present there the probe pulls in air and then compresses it by a factor of five which increases the density of the sample and makes molecules easier to detect next infrared light shines through the sample the light then passes through a chip that sorts different types of molecules based on the specific wavelengths of light they absorb which ultimately allows the analyzer and accompanying sof software to reliably detect the presence and concentration of molecules that signal spoilage with extreme sensitivity the reading I got now doesn't really show any molecules present at all compared to Ament air which is more or less what I would expect from fresh fruit so now I'm going to take a sample for the spoiled grapes we see a clear difference we see up to 12% absorption at the ethanol wavelength which is a good indication that we actually smell the rotten grapes so uh this looks really promising the fumes we were able to collect we were able to see the the kind of the signatures the engineers then tested different kinds of fruits and vegetables as they decayed building up a database of chemical profiles we saw a tomato was different somewhat from a banana grapes were different from avocado for example and we thought well this must be [Laughter] interesting tour bah is the founder and chief technology officer of tunable he's been working with micro Electro mechanical systems for over 30 years tunable is a component inside our analyzers that's the tunable filter it's used to change the wh length for the light so we can scan the wh length and do spectroscopy spectroscopy it's very much like uh tuning a radio to find a particular station the gases are separated in the infrared uh Spectrum just like radio stations and then you can basically detect each one of them so that's where the word tunable comes from after extensive fine-tuning in the lab it's time for the very first field test in the warehouse sometimes you can't learn about all of the variables that will be involved in an engineered system sitting on a desk with a pen and paper or at a computer screen you need to go out into the field you need to put it in the actual environment see how it interacts learn from that make changes and move forward now I'm capturing admin there and then ready to do the measurement on the grapes Ivan watches the screen waiting to see The Telltale grape waveform but the pump just wors away and eventually he gives up uh I don't really know what happened here uh for some reason um the results wasn't as expected the first time definitely wasn't the charm Murphy's Law yeah we know that it works in a laboratory environment so the big thing now is showing that actually works in real life and as You' seen there's been some challenges we tend to think of failure as a bad thing right that's something that is not supposed to happen happens but if you're doing anything new failure is an integral part of the process and the reason for that is because we can't perfectly predict or understand how things are going to work in the real world until we try them turns out the warehouse temperature a chilly 41° F affected the test result the cold part we did know that it was cold in that area but did we take in on account enough no we didn't we should of course have think thought about that but uh but that's kind of the learning that's the process back in the lab the tunable team re-calibrated their chip to account for the bomma warehouse temperature they also adjusted the design to include the pumps that compress the sample increasing the density of the gas to compensate for the lower metabolic rate of the food in the refrigerated environment it will be really interesting to see if the alterations we have made will actually do the difference in the field iven is back with the latest iteration of the Enos further testing in the lab showed that even with the changes the machine needs time to adjust to the conditions in the warehouse [Music] now I'll let the instrument stay here for the night to reach a steady temperature and then we'll do measurements [Music] tomorrow now after a long cold night the system should be ready to go [Music] now we see absorption of light at more or less 9.5 10 microns which um indicate ethanol being present this really shows that our new chip is working in this real environment I uses the Enos to sample the air from various locations on the entire pallet stack actually we see a spike at the ethanol absorption wavelength so that might be something they've taken an important step step a successful realworld test of the newest version of the tunable Enos I'm not the most excited guy but um this uh this is exciting I expected it although you never know that's a big win I get very excited when technology Works still there is work ahead to make the technology viable and most importantly scalable we hope that we can make them more efficient food waste is enormous Global problem 8% of all greenhous gases comes from food waste so if it can be a part of the solution it's huge
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