Use este identificador para citar ou linkar para este item: https://hdl.handle.net/20.500.12394/12226
Título: Design of a Steam Distillation of Essential Oils from Grapefruit Peel with Raspberry Pi B+ Using Telegram Connection
Autor(es): Justiniano Medina, Albert
Arrieta Conde, Joaquin
Torres Taipe, Anderson L.
Cruz Anchiraico, José A.
Huamanchahua, Deyby
Palavras-chave: Biotecnologia ambiental
Productos agropecuarios
Aceites y grasas
Editor: Universidad Continental
Data do documento: 2022
metadata.dc.date.available: 6-Jan-2023
Citação: Justiniano, A., Arrieta, J., Torres, A., Cruz, J. y Huamanchahua, D. (2022). Design of a Steam Distillation of Essential Oils from Grapefruit Peel with Raspberry Pi B+ Using Telegram Connection. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). https://doi.org/10.1109/UEMCON54665.2022.9965707.
metadata.dc.identifier.doi: https://doi.org/10.1109/UEMCON54665.2022.9965707
Resumo: The extraction of essential oils is a process widely used around the world, and part of its main ingredients consists of a natural base. Also, Peru is one of the 15 most biologically diverse countries in the world, maintaining approximately 10% of world flora and endless endemic species, valuing those citrus fruit products such as orange, lime, lemon, and grapefruit. Therefore, the process and development of a model of a grapefruit essential oil distiller are analyzed through the design of an essential oil extractor on an industrial scale by steam dragging, thus establishing the automation and monitoring of the extractor machine through a mobile device that will present the status of the various actuators and sensors implemented showing the status of the parameters in the module, with this it is intended that the operator can be aware of the extraction at any time of the day. Finally, an approximate result was obtained in the distillation of 1,338% of Grapefruit essential oil and the efficiency of remote control was also demonstrated through a Telegram application using Python software for its programming.
metadata.dc.description.note: El texto completo de este trabajo no está disponible en el Repositorio Institucional-Continental por restricciones de la casa editorial donde ha sido publicado.
metadata.dc.relation: https://ieeexplore.ieee.org/document/9965707
Extension: p. 132-137
metadata.dc.rights.accessRights: Restringido
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Aparece nas coleções:Artículos Científicos

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