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Caracterización de huella espectral de biopolímeros y matrices biopolímericas asociadas con alimentos y productos agrícolas mediante &#34;functionally-enhanced derivative spectroscopy (feds)&#34;

Journal of Science with Technological Applications 2022 Score: 25 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Daniel Andres Palacio Badel, Daniel Andres Palacio Badel, Manuel Palencia, Manuel Palencia, Manuel Francisco Melendrez Castro, Universidad del Valle, Manuel Palencia, Manuel Palencia, Manuel Francisco Melendrez Castro, Enrique Combatt Caballero, Manuel Palencia, Manuel Palencia, Manuel Palencia Luna, Mindtech s.a.s Mindtech s.a.s Mindtech s.a.s Universidad del Valle, Mindtech s.a.s

Summary

This Spanish-language study applied functionally-enhanced derivative spectroscopy (FEDS) to characterize the spectral fingerprints of biopolymers and biopolymer matrices associated with foods and agricultural products. No further abstract detail is available.

Caracterizacin de huella espectral de biopolmeros y matrices biopolmericas asociadas con alimentos y productos agrcolas mediante "functionally-enhanced derivative spectroscopy (FEDS)" Financiacin

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Caracterización de huella espectral de biopolímeros y matrices biopolímericas asociadas con alimentos y productos agrícolas mediante &amp;#34;functionally-enhanced derivative spectroscopy (feds)&amp;#34;

Summary

Caracterización de huella espectral de biopolímeros y matrices biopolímericas asociadas con alimentos y productos agrícolas mediante "functionally-enhanced derivative spectroscopy (feds)"