Fragrance startup Patina has launched Sense1, a machine learning platform that designs new scent molecules. By using computational modeling and receptor data, the company can create synthetic alternatives to rare natural ingredients like rose oil. This shift toward lab-developed odorants aims to reduce the environmental impact of wild-harvesting botanicals. The technology provides a more traceable and lower-carbon supply chain for the fragrance and flavor industries.
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Replacing wild harvested botanicals with lab grown molecules is a decent win for land use and carbon. I wonder if they have actual data on the energy intensity of the lab process compared to traditional farming.
The carbon claim depends entirely on the feedstock for these synthetic molecules. If they are petroleum based, the footprint just shifts from the field to the refinery. We need to see the lifecycle analysis.
Interesting tech, but the real hurdle is always the cost of scale. Lab chemistry is great for prototypes, but producing these at a price point that beats natural extracts is where most of these startups fail.
