Cool. I've never seen PHA before. What printer are you using for it? Is it any harder to print with?
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What sort of cost per kg difference is PHA over "regular" PLA? I would be willing to give it a shot, but I have a hard time throwing $40 at a spool as it is.
It's not too bad, if you consider the huge range of prices for PLA. Like Matterhackers "Build Series PLA" is $0.02/g at the low-ish end while Ultimaker's "Tough PLA" at the high-ish end is $0.07/g. Filaments.ca's "Regen PHA" is between those at $0.05/g.
So, if you're trying to use the cheapest filament possible? Probably not a great choice. On the other hand, there's literally only like 3 people selling PHA filament right now, so you'd think it'd be more expensive than ANY brand of PLA. That makss me wonder if it's relatively cheap to produce. If so, it may come way down in price if it catches on and becomes more available, right? I hope, anyway.
Wow, this stuff looks cool. "A drop of fossil energy use by 95% and greenhouse gas emission by 200% can be achieved by substituting petroleum-based polymers with PHAs.4 Therefore, PHAs have the potential to contribute to a green industrial evolution." (source: https://pubs.rsc.org/en/content/articlehtml/2021/ra/d1ra02390j)
Oh that is very interesting! I guess the main way that they decompose is through PHA depolymerase--according to ChatGPT a lot of the species that have been tested in the decomposition of PHA are bacteria. It would be interesting to try inoculating some samples of PHA with different mushroom species as well. It would be really great if PHA could be fully-decomposed into proper food-safe compost.
Be aware that ChatGPT will simply make things up in the most convincing way if it doesn't actually know the answer. It's really no good as a search engine.
True, it's always good to verify with academic articles. I'd never trust ChatGPT without also verifying with sources--if for no other reason than its training dataset was cutoff in 2021. It's generally good to seek out research that is less than 3-5 years old when possible, due to how quickly the scientific landscape changes. According to this particular article from 2019, ChatGPT's response was pretty accurate.
https://onlinelibrary.wiley.com/doi/full/10.1002/ejlt.201900101