The University of Southampton

Dr Rafael Mestre Castillo PhD, MSc, BSc


Patino, T., Mestre, R. and Sánchez, S. (2016) Miniaturized soft bio-hybrid robotics: a step forward into healthcare applications. Lab on a Chip, 3626-3630. (doi:10.1039/c6lc90088g).

Mestre, R., Patiño, T., Barceló, X., Anand, S., Pérez-Jiménez, A. and Sánchez, S. (2019) Force modulation and adaptability of 3D-Bioprinted biological actuators based on skeletal muscle tissue. Advanced Materials Technologies. (doi:10.1002/admt.201800631).

Mestre Castillo, Rafael, Patiño, Tania, Barceló, Xavier and Sánchez, Samuel (2018) 3D bioprinted muscle-based bio-actuators: Force adaptability due to training. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10928 LNAI, Springer, Cham. pp. 316-320 . (doi:10.1007/978-3-319-95972-6_33).

Mestre, Rafael, Patiño, Tania, Guix, Maria, Barceló, Xavier and Sánchez, Samuel (2019) Design, optimization and characterization of bio-hybrid actuators based on 3D-bioprinted skeletal muscle tissue. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 11556 LNAI, Springer Nature Switzerland AG. pp. 205-215 . (doi:10.1007/978-3-030-24741-6_18).

Mestre, Rafael, Palacios, Lucas S., Miguel-López, Albert, Arqué, Xavier, Pagonabarraga, Ignacio and Sánchez, Samuel (2020) Extraction of the propulsive speed of catalytic nano- and micro-motors under different motion dynamics. arXiv.

Arqué, Xavier, Andrés, Xavier, Mestre, R, Ciraulo, Bernard, Arroyo-Ortega, Jaime, Quidant, Romain, Patiño, Tania and Sánchez, Samuel (2020) Ionic species affect the self-propulsion of urease-powered micromotors. Research, [2424972]. (doi:10.34133/2020/2424972).

Kaang, Byung Kwon, Mestre, Rafael, Kang, Dong-Chang, Sánchez, Samuel and Kim, Dong-Pyo (2020) Scalable and integrated flow synthesis of triple-responsive nano-motors via microfluidic Pickering emulsification. Applied Materials Today, [100854]. (doi:10.1016/j.apmt.2020.100854).

Patiño, Tania, Arqué, X, Mestre, R, Palacios, Lucas S. and Sánchez, S (2018) Fundamental aspects of enzyme-powered micro- and nanoswimmers. Accounts of Chemical Research, 2662–2671. (doi:10.1021/acs.accounts.8b00288).

Xuan, M, Mestre, R, Gao, C, Zhou, C, He, Q and Sánchez, S (2018) Noncontinuous super-diffusive dynamics of a light-activated nanobottle motor. Angewandte Chemie (International ed. in English), 6838-6842. (doi:10.1002/anie.201801910).

Mestre, R, Patiño, T and Sánchez, S (2021) Biohybrid robotics: from the nanoscale to the macroscale. Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology, 13 (5), 1-26, [e1703]. (doi:10.1002/wnan.1703).

Mestre, R., Cadefau, N., Hortelão, A.C., Grzelak, J., Gich, M., Roig, A. and Sánchez, S. (2021) Nanorods based on mesoporous silica containing iron oxide nanoparticles as catalytic nanomotors: study of motion dynamics. ChemNanoMat, 7 (2), 134-140. (doi:10.1002/cnma.202000557).

Mestre, Rafael, García, Nerea, Patiño, Tania, Guix, Maria, Fuentes, Judith, Valerio-Santiago, Mauricio, Almiñana, Núria and Sánchez, Samuel (2021) 3D-bioengineered model of human skeletal muscle tissue with phenotypic features of aging for drug testing purposes. Biofabrication, 13 (4), [045011]. (doi:10.1101/2020.06.18.158659).

Guix, Maria, Mestre, Rafael, Patiño, Tania, Corato, Marco De, Fuentes, Judith, Zarpellon, Giulia and Sánchez, Samuel (2021) Biohybrid soft robots with self-stimulating skeletons. Science Robotics, 6 (53), [eabe7577]. (doi:10.1126/scirobotics.abe7577).

Mestre, Rafael, Milicin, Razvan, Middleton, Stuart and Ryan, Matthew (2021) M-Arg: MultiModal Argument Mining Dataset for Political Debates with Audio and Transcripts. University of Southampton doi:10.5281/zenodo.5653503 [Dataset]

Mestre, Rafael, Milicin, Razvan, Middleton, Stuart, Ryan, Matthew, Zhu, Jiatong and Norman, Timothy (2021) M-Arg: multimodal argument mining dataset for political debates with audio and transcripts. 8th Workshop on Argument Mining. 9 pp . (doi:10.18653/v1/2021.argmining-1.8).


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