I am not a chemist. I am a software engineer who spent the better part of a decade building cloud infrastructure and debugging enterprise systems. I have never titrated a solution in a university lab. I have never worn a lab coat professionally. But on a Saturday morning in March 2026, I found myself standing in my kitchen with an $89 stainless steel pressure vessel, a pair of safety goggles, a digital thermometer, and the kind of conviction that only comes from reading two hundred research papers in six months and thinking: I can test this myself.
This is the story of our first experiment at CAGE Technologies -- not a polished press release, but an honest account of what it looks like when a deep tech company starts in a kitchen instead of a venture-backed laboratory.
The Setup
The hypothesis was straightforward. Conventional chemical recycling of polyester plastics like PLA (polylactic acid) typically requires temperatures between 200 and 300 degrees Celsius, often paired with metal-based catalysts that leave behind toxic residues. These processes work, but they are energy-intensive, expensive, and environmentally questionable -- you are burning enormous amounts of energy to recycle a material that was supposed to be the sustainable option in the first place.
We believed that a specific food-grade, GRAS-listed ingredient -- a non-toxic catalyst that you could find on the shelf of a health food store -- could achieve meaningful depolymerization of PLA at dramatically lower temperatures. Not 250 degrees Celsius. Not 200. We were targeting 130 degrees Celsius, which is roughly 50 to 100 degrees below what the published literature considers necessary for catalyst-assisted PLA breakdown.
The materials were deceptively simple: PLA plastic pellets, our proprietary bio-based catalyst, and water. That was it. No exotic solvents. No pressurized gas lines. No fume hood. The entire bill of materials for the experiment, excluding the pressure vessel itself, came in under twenty dollars.
I weighed the PLA pellets on a kitchen scale. I measured the catalyst. I added distilled water. I sealed the pressure vessel, set it on the stove, and brought the temperature up to 130 degrees Celsius. Then I set a timer for four hours and did what every scientist does during the waiting period: I paced, I second-guessed every variable, and I checked the pressure gauge far more often than was strictly necessary.
What We Observed
Four hours later, I opened the vessel and found something that made the months of research feel justified. The PLA pellets had undergone visible, unmistakable changes. The material that went into the vessel as hard, translucent plastic came out looking fundamentally different.
The pellets had become opaque and chalky white, a visual signature consistent with structural disruption of the polymer matrix. Several pellets had partially fragmented, with edges that were soft and crumbly rather than the hard, glassy surfaces they started with. The water in the vessel had turned cloudy, suggesting that soluble degradation products had leached into the solution. The overall volume and geometry of the pellets had changed -- they appeared swollen and distorted, as if the internal structure had expanded and loosened.
To be clear about what this was and was not: this was a preliminary, qualitative observation. I did not have a mass spectrometer in my kitchen. I could not confirm molecular-level bond changes with visual inspection alone. What I could confirm was that something significant had happened to the plastic, and that this something was consistent with what the literature describes as early-stage depolymerization: loss of optical clarity, structural weakening, surface erosion, and the release of soluble components into the aqueous phase.
I also ran a control -- the same PLA pellets in water at the same temperature, without the catalyst. After four hours, those pellets looked essentially unchanged. Hard, clear, and intact. The catalyst was doing the work.
Why This Matters
The significance of this experiment is not in the visual observations themselves. It is in the temperature.
Conventional PLA recycling through chemical means typically operates in one of two regimes. Thermal hydrolysis requires 200 to 300 degrees Celsius and high pressures. Enzymatic processes, while gentler, often require carefully controlled biological conditions and can take days or weeks to achieve meaningful breakdown. Metal-catalyzed approaches -- using tin, zinc, or titanium compounds -- can lower temperatures somewhat, but they introduce toxic metal residues that contaminate the recovered monomers and create their own disposal problems.
What we observed at 130 degrees Celsius, using nothing more than a food-grade catalyst and water, suggests that there may be a viable middle path: low enough temperatures to be energy-efficient, fast enough reaction times to be practical, and clean enough chemistry to produce food-safe outputs. If confirmed at the molecular level, this would represent a meaningful advance in how we think about plastic recycling infrastructure.
Lower temperature means lower energy input. Lower energy input means lower cost per kilogram of recycled material. Lower cost means the economics start to work at municipal scale, not just in specialized industrial facilities. And a non-toxic catalyst means the recovered materials can potentially re-enter the food packaging supply chain without contamination concerns.
The DIY Deep Tech Validation Approach
There is a prevailing narrative in the deep tech world that meaningful science requires millions of dollars in laboratory infrastructure. That you need a cleanroom, a team of PhDs, and a Series A before you can generate a single data point. I understand why that narrative exists -- it protects incumbents and it flatters investors who want to believe that their capital is the essential ingredient.
But it is not always true.
What you actually need to validate a hypothesis is surprisingly modest: a clear prediction, a controlled experiment, and the intellectual honesty to report exactly what you observe -- including the parts that do not fit your theory. Our first experiment cost less than a hundred dollars in consumables. The pressure vessel was a one-time purchase. The catalyst is commercially available. The plastic feedstock is commodity material.
This is not to diminish the importance of proper analytical chemistry. Visual observations are necessary but not sufficient. You cannot publish a paper based on "the pellets looked different." But you can use a low-cost experiment to determine whether a hypothesis is worth pursuing further -- whether it is worth the investment in third-party analytical testing, which is where the real cost begins.
"The goal of a first experiment is not to prove you are right. It is to determine whether you are wrong. If the plastic comes out looking exactly the same, you go back to the literature. If something changes, you go to the lab."
Our pellets did not come out looking the same. So we are going to the lab.
What Comes Next
The next step is third-party analytical validation. We have engaged SGS Burnaby, one of the world's leading testing and certification laboratories, and FPInnovations, Canada's national forest and biomaterials research institute, to perform independent analysis of our treated samples.
The primary analytical tool will be Fourier Transform Infrared Spectroscopy (FTIR), which measures how a material absorbs infrared light at different wavelengths. Every type of chemical bond absorbs at a characteristic frequency, which means FTIR can tell us precisely which bonds are present in a sample and, critically, which bonds have changed. If our catalyst is breaking down the polymer chains in PLA, FTIR will show characteristic shifts in the absorption spectrum -- changes that correspond to the disruption of specific molecular structures.
We will also be looking at differential scanning calorimetry (DSC) to measure changes in the thermal properties of the treated material, and potentially gel permeation chromatography (GPC) to determine whether the molecular weight distribution of the polymer has shifted downward, which would confirm chain scission.
These tests will either confirm that our catalyst is doing what we believe it is doing at the molecular level, or they will tell us that we are wrong. Either outcome is valuable. That is how science works.
On Independent Replication and Open Science
One of the principles we are building CAGE Technologies around is transparency. Not performative transparency -- not the kind where you share your wins on LinkedIn and quietly bury your failures. Real transparency. The kind where you publish your methodology, invite scrutiny, and let others attempt to replicate your results.
The history of chemistry is littered with claims that could not survive independent replication. Cold fusion. Polywater. The beauty of the scientific method is that it does not care about your business plan or your investor deck. Either the molecules do what you say they do, or they do not.
We are choosing to build in public because we believe that independent replication and open science matter more than corporate R&D secrecy. Yes, we have filed provisional patents to protect our specific formulations and processes. That is prudent. But the underlying science should be verifiable, reproducible, and subject to peer review. If our approach works, it should work in any laboratory in the world, not just ours.
The deep tech ecosystem would benefit enormously from more founders who are willing to show their work -- the messy, uncertain, kitchen-experiment version of it, not just the polished version that appears after the Series A press release. Science is not a highlight reel. It is a process, and the process includes doubt, failed controls, and Saturday mornings spent watching a pressure gauge.
This was our first experiment. It will not be our last. And whatever the third-party results show, we will share them -- because that is the only way any of this means anything.