Person: Martín Martínez, María
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First Name
María
Last Name
Martín Martínez
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Químicas
Department
Ingeniería Química y de Materiales
Area
Ingeniería Química
Identifiers
6 results
Search Results
Now showing 1 - 6 of 6
- Project number: PIMCD405/23-24
Item Dando a conocer la Ingeniería Química: del bachillerato a la Universidad… y vuelta!(2024) Martín Martínez, María; Águeda Maté, Vicente Ismael; Álvarez Torrellas, Silvia; Carbajo Olleros, Jaime; Delgado Dobladez, José Antonio; García Rodríguez, Juan; Larriba Martínez, Marcos; Calero Berrocal, Ruben; Cañada Barcala, Andres; Huber Benito, Diego; Martin Gutierrez, Diego; Pascual Muñoz, Gonzalo; Peinado Serrano, M. Cristina; Pinzolas Rubio, Alejandro; Portillo Sanchez, Eva; Rodriguez Llorente, Diego; Sanchez Quiñones, Carlos A. A.; Sanchez Fernandez, Ignacio Item Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study(Journal of Personalized Medicine, 2022) Anta, Laura de; Álvarez Mon, Miguel Ángel; Ortega Campos, Miguel Ángel; Salazar, Cristina; Donat Vargas, Carolina; Santoma Vilaclara, Javier; Martín Martínez, María; Lahera, Guillermo; Gutierrez Rojas, Luis; Rodríguez Jiménez, Roberto; Quintero, Javier; Álvarez Mon, MelchorBackground: Antidepressants are the foundation of the treatment of major depressive disorders. Despite the scientific evidence, there is still a sustained debate and concern about the efficacy of antidepressants, with widely differing opinions among the population about their positive and negative effects, which may condition people’s attitudes towards such treatments. Our aim is to investigate Twitter posts about antidepressants in order to have a better understanding of the social consideration of antidepressants. Methods: We gathered public tweets mentioning antidepressants written in English, published throughout a 22-month period, between 1 January 2019 and 31 October 2020. We analysed the content of each tweet, determining in the first place whether they included medical aspects or not. Those with medical content were classified into four categories: general aspects, such as quality of life or mood, sleep-related conditions, appetite/weight issues and aspects around somatic alterations. In non-medical tweets, we distinguished three categories: commercial nature (including all economic activity, drug promotion, education or outreach), help request/offer, and drug trivialization. In addition, users were arranged into three categories according to their nature: patients and relatives, caregivers, and interactions between Twitter users. Finally, we identified the most mentioned antidepressants, including the number of retweets and likes, which allowed us to measure the impact among Twitter users. Results: The activity in Twitter concerning antidepressants is mainly focused on the effects these drugs may have on certain health-related areas, specifically sleep (20.87%) and appetite/weight (8.95%). Patients and relatives are the type of user that most frequently posts tweets with medical content (65.2%, specifically 80% when referencing sleep and 78.6% in the case of appetite/weight), whereas they are responsible for only 2.9% of tweets with non-medical content. Among tweets classified as non-medical in this study, the most common subject was drug trivialization (66.86%). Caregivers barely have any presence in conversations in Twitter about antidepressants (3.5%). However, their tweets rose more interest among other users, with a ratio 11.93 times higher than those posted by patients and their friends and family. Mirtazapine is the most mentioned antidepressant in Twitter (45.43%), with a significant difference with the rest, agomelatine (11.11%). Conclusions: This study shows that Twitter users that take antidepressants, or their friends and family, use social media to share medical information about antidepressants. However, other users that do not talk about antidepressants from a personal or close experience, frequently do so in a stigmatizing manner, by trivializing them. Our study also brings to light the scarce presence of caregivers in Twitter.- Project number: 142
Item Lab at home: prácticas experimentales de Ingeniería Química en tiempos de pandemia(2022) Larriba Martínez, Marcos; Ovejero Escudero, Gabriel; García Rodríguez, Juan; Delgado Dobladez, José Antonio; Águeda Maté, Vicente Ismael; Álvarez Torrellas, Silvia; Martín Martínez, María; García Sánchez, Laura; Peinado Serrano, María Cristina; Serra Pérez, Estrella; Pascual Muñoz, Gonzalo; Rodríguez Llorente, Diego; Cañada Barcala, Andrés; Sanz Santos, Eva; Gutiérrez Sánchez, Pablo; Calero Berrocal, Rubén; Sánchez Quiñones, Carlos Alberto Augusto; Cañas Jiménez, Javier; Santos Sanz, Alberto; Carreras Navarro, Francisco Javier; Sánchez Morales, Laura Laila; Nájera García, Roberto Item Structure sensitivity reaction of chloroform hydrodechlorination to light olefins using Pd catalysts supported on carbon nanotubes and carbon nanofibers(Journal of Colloid and Interface Science, 2023) Sichen Liu; Carlos Fernandez-Ruiz; Ana Iglesias-Juez; Martín Martínez, María; Jorge Bedia; Carlo Marini; Giovanni Agostini; Juan José Rodriguez; Luisa María Gómez-SaineroThe upgrading of wasted chloroform in hydrodechlorination for the production of olefins such as ethylene and propylene is studied by employing four catalysts (PdCl/CNT, PdCl/CNF, PdN/CNT, and PdN/CNF) prepared by different precursors (PdCl2 and Pd(NO3)2) supported on carbon nanotubes (CNT) or carbon nanofibers (CNF). TEM and EXAFS-XANES results confirm that Pd nanoparticle size increases in the order: PdCl/CNT < PdCl/CNF ∼ PdN/CNT < PdN/CNF, descending the electron density of Pd nanoparticles in the same order. It illustrates that PdCl-based catalysts show donation of electrons from support to Pd nanoparticles, which is not observed in PdN-based catalysts. Moreover, this effect is more evident in CNT. The smallest and well-dispersed Pd nanoparticles (NPs) on PdCl/CNT with high electron density favor an excellent and stable activity and a remarkable selectivity to olefins. In contrast, the other three catalysts show lower selectivity to olefins and lower activities which suffer strong deactivation due to the formation of Pd carbides on their larger Pd nanoparticles with lower electron density, compared to PdCl/CNTItem Deactivation and regeneration of activated carbon-supported Rh and Ru catalysts in the hydrodechlorination of chloromethanes into light olefins(Chemical Engineering Journal, 2020) Martín Martínez, María; Juan J. Rodriguez; Richard T. Baker; Luisa M. Gómez-SaineroThis work analyses the deactivation of activated carbon-supported Rh and Ru (both at 1 wt%) catalysts (Rh/C and Ru/C) in the hydrodechlorination (HDC) of dichloromethane (DCM) and chloroform (TCM). The deactivation can be mainly attributed to the coverage of active metal centres by organometallic species resulting from the chemisorption of reaction products, such as olefins, at the electro-deficient metal sites. With DCM, the activity of Ru/C decreased by more than 80% after 90 h on stream at 250 °C and with a space time of 1.7 kg h mol−1. Under the same conditions, with TCM, the Rh/C and Ru/C catalysts lost 75% of activity after 84 and 54 h on stream, respectively. A regeneration treatment with air at 250 °C allowed complete recovery of the catalytic activity. After each deactivation-regeneration cycle, the selectivity to olefins increased. Therefore, HDC with the catalysts tested provides a promising way for the upgrading of chloromethanes from waste gas streams into light olefinsItem Carbon nanotubes as catalysts for wet peroxide oxidation: The effect of surface chemistry(Catalysis Today, 2020) Martín Martínez, María; Bruno F. Machado; Philippe Serp; Sergio Morales-Torres; Adrián M.T. Silva; José L. Figueiredo; Joaquim L. Faria; Helder T. GomesThree magnetic carbon nanotube (CNT) samples, named A30 (N-doped), E30 (undoped) and E10A20 (selectively N-doped), synthesized by catalytic chemical vapor deposition, were modified by introducing oxygenated surface groups (oxidation with HNO3, samples CNT-N), and by heat treatment at 800 °C for the removal of surface functionalities (samples CNT-HT). Both treatments lead to higher specific surface areas. The acid treatment results in more acidic surfaces, with higher amounts of oxygenated species being introduced on Ndoped surfaces. Heat-treated samples are less hydrophilic than those treated with nitric acid, heat treatment leading to neutral or basic surfaces, only N-quaternary and N-pyridinic species being found by XPS on N-doped surfaces. These materials were tested in the catalytic wet peroxide oxidation (CWPO) of highly concentrated 4-nitrophenol solutions (4-NP, 5 g L−1) at atmospheric pressure, T=50 °C and pH=3, using a catalyst load of 2.5 g L−1 and the stoichiometric amount of H2O2 needed for the complete mineralization of 4-NP. The high temperature treatment enhanced significantly the activity of the CNTs towards CWPO, evaluated in terms of 4-NP and total organic carbon conversion, due to the increased hydrophobicity of their surface. In particular, E30HT and E10A20HT were able to remove ca. 100% of 4-NP after 8 h of operation. On the other hand, by treating the CNTs with HNO3, the activity of the less hydrophilic samples decreased upon increasing the concentration of surface oxygen-containing functionalities, whilst the reactivity generated inside the opened nanotubes improved the activity of the highly hydrophilic A30 N.