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Roman Rodríguez-Maecker  - - - 
Top co-authors See all
J. Oltra

32 shared publications

Department of Organic Chemistry, Faculty of Sciences, University of Granada

Lorenzo Reyes-Bozo

15 shared publications

Andriy Kuklya

6 shared publications

University of Duisburg-Essen

Antonio Rosales

5 shared publications

Department of Chemical and Environmental Engineering, Escuela Politécnica Superior, University of Sevilla

Rosa Galleguillos-Pozo

3 shared publications

Universidad Técnica de Ambato

Publication Record
Distribution of Articles published per year 

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Publications See all
Article 0 Reads 0 Citations Vapor-Liquid equilibria modeling using gray-box neural networks as binary interaction parameters predictor Eduardo Andres Vyhmeister Bastidas, Jonathan Rodríguez-Pino,... Published: 01 October 2017
DYNA, doi: 10.15446/dyna.v84n203.56364
DOI See at publisher website
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Las Simulaciones de Equilibrio Líquido Vapor (VLE) son ampliamente utilizadas dado su impacto en el escalamiento, diseño y extrapolación de diferentes operaciones unitarias. Sin embargo, dado considerable factores, es casi imposible experimentalmente estudiar cada uno de los sistemas de VLE. La simulación de VLE puede ser desarrollada utilizando representaciones que son fuertemente dependientes de la naturaleza e interacción de los compuestos que conforman la mezcla. Un modelo que ayude en la predicción de esas interacciones facilitará el proceso de simulación. Una Red Neuronal Gris (GNM) fue creada como un predictor de parámetros de interacción binaria, los que son estimados utilizando variables de estado e información de componentes puros. Esta información fue utilizada para predecir el comportamiento de VLE en mezclas y rangos no utilizados en la formulación matemática. Las capacidades predictivas del GNM (incluida la dependencia de temperatura) mostraron errores menores al 5% y al 20% para mezclas consideradas y no consideradas en los datos de entrenamiento, respectivamente.
Article 0 Reads 0 Citations Identification of terpenes and essential oils by means of static headspace gas chromatography-ion mobility spectrometry Roman Rodríguez-Maecker, Eduardo Vyhmeister, Stefan Meisen, ... Published: 20 September 2017
Analytical and Bioanalytical Chemistry, doi: 10.1007/s00216-017-0613-2
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PubMed View at PubMed
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Static headspace gas chromatography-ion mobility spectrometry (SHS GC-IMS) is a relatively new analytical technique that has considerable potential for analysis of volatile organic compounds (VOCs). In this study, SHS GC-IMS was used for the identification of the major terpene components of various essential oils (EOs). Based on the data obtained from 25 terpene standards and 50 EOs, a database for fingerprint identification of characteristic terpenes and EOs was generated utilizing SHS GC-IMS for authenticity testing of fragrances in foods, cosmetics, and personal care products. This database contains specific normalized IMS drift times and GC retention indices for 50 terpene components of EOs. Initially, the SHS GC-IMS parameters, e.g., drift gas and carrier gas flow rates, drift tube, and column temperatures, were evaluated to determine suitable operating conditions for terpene separation and identification. Gas chromatography-mass spectrometry (GC-MS) was used as a reference method for the identification of terpenes in EOs. The fingerprint pattern based on the normalized IMS drift times and retention indices of 50 terpenes is presented for 50 EOs. The applicability of the method was proven on examples of ten commercially available food, cosmetic, and personal care product samples. The results confirm the suitability of SHS GC-IMS as a powerful analytical technique for direct identification of terpene components in solid and liquid samples without any pretreatment. Fingerprint pattern identification of terpenes and essential oils using static headspace gas chromatography-ion mobility spectrometry.
Conference 10 Reads 0 Citations Thyme and rosemary essential oils as an alternative control of plant-parasitic nematodes. Diana Iler-Iler, Gabriel Moreno-Toasa, Roman Rodríguez-Maeck... Published: 25 January 2017
MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition, doi: 10.3390/mol2net-02-03900
DOI See at publisher website
Article 1 Read 1 Citation In-Situ FTIR Kinetic Study in the Silylation of Low-k Films with Hexamethyldisilazane Dissolved in Supercritical CO 2 Eduardo Vyhmeister, Héctor Valdés-González Lorenzo, Reyes- B... Published: 14 December 2015
Chemical Engineering Communications, doi: 10.1080/00986445.2015.1124098
DOI See at publisher website
Article 0 Reads 1 Citation Diastereoselective Synthesis of (±)-Ambrox by Titanium(III)-Catalyzed Radical Tandem Cyclization Antonio Rosales, L. Foley, Natalia Muñoz Padial, Juan Muñoz-... Published: 09 December 2015
Synlett, doi: 10.1055/s-0035-1560594
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Dedicated to Prof. Emilio Diaz Ojeda A synthesis of (±)-ambrox, a compound with delicious ambergris-type scent, is presented. The key step is a highly diastereoselective titanocene(III)-catalyzed radical tandem cyclization of a farnesol derivative.
Article 0 Reads 0 Citations Study of low-k film functionalization and pore sealing using chlorosilanes dissolved in supercritical carbon dioxide Eduardo Vyhmeister, Lorenzo Reyes-Bozo, Roman Rodríguez-Maec... Published: 21 November 2015
Chemical Engineering Communications, doi: 10.1080/00986445.2015.1116068
DOI See at publisher website