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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Noise pollution negatively impacts people’s mental and physiological health. Unfortunately, not only is noise present in hospital environments, but its level frequently exceeds recommended thresholds. The efficacy of passive acoustic absorbers in reducing indoor noise in these scenarios has been well-documented. Conversely, given their inorganic composition and their origin in the petrochemical industry, most of these materials present a risk to human health. Over the last few years, there has been a notable increase in research on eco-friendly, low-toxicity, and biocompatible materials. This work outlines a methodology for fabricating recycled acoustic panels from plastic bottles and PET felt composites. This study encompasses three key objectives: (i) a comprehensive biocompatibility assessment of the panels, (ii) an evaluation of their thermal and acoustic properties, and (iii) their applicability in several case studies to evaluate potential acoustic enhancements. Specifically, antifungal resistance tests, Volatile Organic Compound (VOC) emission assessment, and cell viability experiments were conducted successfully. Additionally, experimental procedures were performed to determine the thermal conductivity and thermal resistance of the proposed material, along with its sound absorption coefficients in diffuse field conditions. Finally, the potential benefits of using this biomaterial in healthcare environments to reduce noise and improve acoustic comfort were demonstrated.

Details

Title
Eco-Friendly and Biocompatible Material to Reduce Noise Pollution and Improve Acoustic Comfort in Healthcare Environments
Author
David del Rosario-Gilabert 1 ; Carbajo, Jesús 2   VIAFID ORCID Logo  ; Hernández-Pozo, Miguel 3 ; Valenzuela-Miralles, Antonio 2 ; Ruiz, Daniel 4 ; Poveda-Martínez, Pedro 2   VIAFID ORCID Logo  ; Esquiva, Gema 5   VIAFID ORCID Logo  ; Gómez-Vicente, Violeta 5   VIAFID ORCID Logo 

 Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 San Vicente del Raspeig, Spain; [email protected] (D.d.R.-G.); [email protected] (G.E.); [email protected] (V.G.-V.); Instituto de Neurociencia Avanzada de Barcelona (INAB), 08039 Barcelona, Spain; Department of Physics, Systems Engineering and Signal Theory, University of Alicante, 03690 San Vicente del Raspeig, Spain; [email protected] (A.V.-M.); [email protected] (P.P.-M.) 
 Department of Physics, Systems Engineering and Signal Theory, University of Alicante, 03690 San Vicente del Raspeig, Spain; [email protected] (A.V.-M.); [email protected] (P.P.-M.) 
 EcoCero S.L., 03690 San Vicente del Raspeig, Spain; [email protected] 
 Department of Computer Technology, University of Alicante, 03690 San Vicente del Raspeig, Spain; [email protected] 
 Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 San Vicente del Raspeig, Spain; [email protected] (D.d.R.-G.); [email protected] (G.E.); [email protected] (V.G.-V.) 
First page
3151
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20755309
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3120630627
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.