{"ok":true,"nota":{"id":"45e206bc546adbdb","slug":"un-metodo-con-python-permite-seguir-en-tiempo-real-como-se-forma-un-ma-45e206","titulo":"Un método con Python permite seguir en tiempo real cómo se forma un material zeolítico","resumen":"Explican un tutorial reproducible para analizar espectros Raman y separar las señales de distintos componentes. Usaron datos reales tomados durante la cristalización de zeolitas, materiales porosos usados en la industria.","fuente":"tds","fuenteNombre":"Towards Data Science","color":"#2d6a3e","autor":"Nicolas Coca Lopez","url":"https://towardsdatascience.com/raman-spectra-preprocessing-and-non-negative-least-squares-modelling-in-python-monitoring-zeolite-crystallization/","imagen":"/hoy/portada/45e206bc546adbdb","tema":"ciencia","subtemas":["quimica analitica","espectroscopia raman","zeolitas","python para ciencia","procesos industriales"],"entidades":["Towards Data Science"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-22T14:00:00.000Z","indexTs":"2026-10-22T16:38:44.280Z","hash":"78689182c5a93539e7a2f18df1f038603fd8bf65a3bd636c51117f4f669275a8","tsa":{"time":"Oct 22 16:39:58 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Permite ver, mientras ocurre, qué sustancias se transforman en otras dentro de un proceso químico, sin esperar al final. Esto puede ahorrar tiempo y materiales a laboratorios e industrias que producen catalizadores o filtros. Para un lector sin formación química, es un ejemplo de cómo la programación cotidiana entra en el laboratorio. Es una guía práctica más que un hallazgo nuevo sobre el material.","quienFirma":"Towards Data Science","confianza":"divulgacion","consulta":null},"sello":{"hash":"78689182c5a93539e7a2f18df1f038603fd8bf65a3bd636c51117f4f669275a8","sello":"17d586bf6231f65d17fab289dd9e6d7306469ed718584fca09c612e906a88846","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575205,"aleatorio":"8d668dee5f5988ce3b254235634f030221669521ad13430e3fc9c5056f311f5c","tiempo":"2026-10-22T16:39:30.000Z"},"nist":{"cadena":2,"pulso":1994802,"salida":"12DD79E00124B87AE9DF53F82C2769EC701A6E2C4BF455A27DBAB985BBB34D6404A618CEE876D315F983790BF0CE5F8356121E9A555C928585F812B2FC6DFF0C","tiempo":"2026-10-22T16:39:00.000Z"},"noAntes":"2026-10-22T16:39:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 16:39:58 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization","descripcion":"A short, reproducible tutorial on spectral unmixing using real in situ interzeolite conversion data The post Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization appeared first on Towards Data Science .","pubDate":"Thu, 22 Oct 2026 14:00:00 GMT","url":"https://towardsdatascience.com/raman-spectra-preprocessing-and-non-negative-least-squares-modelling-in-python-monitoring-zeolite-crystallization/"},"indexado":"2026-10-22T16:38:44.280Z"}}