2021
DOI: 10.1093/plphys/kiab178
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Neural networks and robotic microneedles enable autonomous extraction of plant metabolites

Abstract: Plant metabolites comprise a wide range of extremely important chemicals. In many cases, like savory spices, they combine distinctive functional properties - deterrence against herbivory - with an unmistakable flavor. Others have remarkable therapeutic qualities, for instance, the malaria drug artemisinin, or mechanical properties, e.g., natural rubber. We present a breakthrough in plant metabolite extraction technology. Using a neural network, we teach a computer how to recognize metabolite-rich cells of the … Show more

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Cited by 8 publications
(1 citation statement)
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“…Among the many plants and their active constituents studied in this unconventional setting [ 12 , 13 , 14 , 15 , 16 ], the rosemary plant, Rosmarinus officinalis L ., one of the main members of the Lamiaceae family, cultivated in the Mediterranean basin for culinary use [ 17 ], is listed as one of the most promising. This is due to its increasingly established clinical utility [ 18 ] supported by the development of breakthrough methods for the targeted extraction of its bioactive metabolites [ 19 ]. Rosemary extracts are commercially available in Europe and the USA for use as natural antioxidants in the food industry.…”
Section: Introductionmentioning
confidence: 99%
“…Among the many plants and their active constituents studied in this unconventional setting [ 12 , 13 , 14 , 15 , 16 ], the rosemary plant, Rosmarinus officinalis L ., one of the main members of the Lamiaceae family, cultivated in the Mediterranean basin for culinary use [ 17 ], is listed as one of the most promising. This is due to its increasingly established clinical utility [ 18 ] supported by the development of breakthrough methods for the targeted extraction of its bioactive metabolites [ 19 ]. Rosemary extracts are commercially available in Europe and the USA for use as natural antioxidants in the food industry.…”
Section: Introductionmentioning
confidence: 99%