Sure you can punch in a chemical fingerprint for say the smell of a specific type of rose. Maybe it doesn't matter for the learning process that in an equivalent human experience it was preceeded by someone making you a compliment a couple minutes earlier, or that it was combined with all the other chemical fingerprints present at the moment, like maybe it just rained shortly before and there's a slight smell of wet earth in the air or someone smoking a cigarette walked by and there's minimal leftovers of that, or the window wasn't opened for a couple hours and everything has a slight tint of "used air" to it, which might add a factor of dampened learning, which might be necessary for the specific learning process to happen slow enough to sink in properly etc...

Don't get me wrong I would be curious to see such research done to see whether it would improve anything above the stochastic parrot level - it's just going to take a while to figure out what is even relevant