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Williams A, Aguilar MR, Pattiya Arachchillage KGG, Chandra S, Rangan S, Ghosal Gupta S, Artes Vivancos JM. Biosensors for Public Health and Environmental Monitoring: The Case for Sustainable Biosensing. ACS SUSTAINABLE CHEMISTRY & ENGINEERING 2024; 12:10296-10312. [PMID: 39027730 PMCID: PMC11253101 DOI: 10.1021/acssuschemeng.3c06112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 05/17/2024] [Accepted: 05/28/2024] [Indexed: 07/20/2024]
Abstract
Climate change is a profound crisis that affects every aspect of life, including public health. Changes in environmental conditions can promote the spread of pathogens and the development of new mutants and strains. Early detection is essential in managing and controlling this spread and improving overall health outcomes. This perspective article introduces basic biosensing concepts and various biosensors, including electrochemical, optical, mass-based, nano biosensors, and single-molecule biosensors, as important sustainability and public health preventive tools. The discussion also includes how the sustainability of a biosensor is crucial to minimizing environmental impacts and ensuring the long-term availability of vital technologies and resources for healthcare, environmental monitoring, and beyond. One promising avenue for pathogen screening could be the electrical detection of biomolecules at the single-molecule level, and some recent developments based on single-molecule bioelectronics using the Scanning Tunneling Microscopy-assisted break junctions (STM-BJ) technique are shown here. Using this technique, biomolecules can be detected with high sensitivity, eliminating the need for amplification and cell culture steps, thereby enhancing speed and efficiency. Furthermore, the STM-BJ technique demonstrates exceptional specificity, accurately detects single-base mismatches, and exhibits a detection limit essentially at the level of individual biomolecules. Finally, a case is made here for sustainable biosensors, how they can help, the paradigm shift needed to achieve them, and some potential applications.
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Affiliation(s)
- Ajoke Williams
- Department
of Chemistry, University of Massachusetts
Lowell, Lowell, Massachusetts 01854, United States
| | - Mauricio R. Aguilar
- Departament
de Química Inorgànica i Orgànica, Diagonal 645, 08028 Barcelona, Spain
- Institut
de Química Teòrica i Computacional, Universitat de Barcelona, Diagonal 645, 08028 Barcelona, Spain
| | | | - Subrata Chandra
- Department
of Chemistry, University of Massachusetts
Lowell, Lowell, Massachusetts 01854, United States
| | - Srijith Rangan
- Department
of Chemistry, University of Massachusetts
Lowell, Lowell, Massachusetts 01854, United States
| | - Sonakshi Ghosal Gupta
- Department
of Chemistry, University of Massachusetts
Lowell, Lowell, Massachusetts 01854, United States
| | - Juan M. Artes Vivancos
- Department
of Chemistry, University of Massachusetts
Lowell, Lowell, Massachusetts 01854, United States
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2
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Uchida Y, Arakawa T, Higo A, Ishizaka Y. Silicon Microring Resonator Biosensor for Detection of Nucleocapsid Protein of SARS-CoV-2. SENSORS (BASEL, SWITZERLAND) 2024; 24:3250. [PMID: 38794104 PMCID: PMC11125905 DOI: 10.3390/s24103250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/26/2024]
Abstract
A high-sensitivity silicon microring (Si MRR) optical biosensor for detecting the nucleocapsid protein of SARS-CoV-2 is proposed and demonstrated. In the proposed biosensor, the surface of a Si MRR waveguide is modified with antibodies, and the target protein is detected by measuring a resonant wavelength shift of the MRR caused by the selective adsorption of the protein to the surface of the waveguide. A Si MRR is fabricated on a silicon-on-insulator substrate using a CMOS-compatible fabrication process. The quality factor of the MRR is approximately 20,000. The resonant wavelength shift of the MRR and the detection limit for the environmental refractive index change are evaluated to be 89 nm/refractive index unit (RIU) and 10-4 RIU, respectively. The sensing characteristics are examined using a polydimethylsiloxane flow channel after the surface of the Si MRR waveguide is modified with the IgG antibodies through the Si-tagged protein. First, the selective detection of the protein by the MRR sensor is experimentally demonstrated by the detection of bovine serum albumin and human serum albumin. Next, various concentrations of nucleocapsid protein solutions are measured by the MRR, in which the waveguide surface is modified with the IgG antibodies through the Si-tagged protein. Although the experimental results are very preliminary, they show that the proposed sensor has a potential nucleocapsid sensitivity in the order of 10 pg/mL, which is comparable to the sensitivity of current antigen tests. The detection time is less than 10 min, which is much shorter than those of other antigen tests.
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Affiliation(s)
- Yusuke Uchida
- Graduate School of Engineering, Yokohama National University, 79-5 Tokiwada, Hodogaya-ku, Yokohama 240-8501, Japan
| | - Taro Arakawa
- Graduate School of Engineering, Yokohama National University, 79-5 Tokiwada, Hodogaya-ku, Yokohama 240-8501, Japan
| | - Akio Higo
- System Design Lab, School of Engineering, The University of Tokyo, 2-11-16, Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan;
| | - Yuhei Ishizaka
- Department of Science and Engineering, Kanto Gakuin University, 1-50-1 Mutsuura-higashi, Kanazawa-ku, Yokohama 236-8501, Japan
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Ramezani G, Stiharu I, van de Ven TGM, Nerguizian V. Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties. MICROMACHINES 2023; 15:82. [PMID: 38258201 PMCID: PMC10819598 DOI: 10.3390/mi15010082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024]
Abstract
This review paper provides an in-depth analysis of recent advancements in integrating two-dimensional (2D) materials with cellulose to enhance biosensing technology. The incorporation of 2D materials such as graphene and transition metal dichalcogenides, along with nanocellulose, improves the sensitivity, stability, and flexibility of biosensors. Practical applications of these advanced biosensors are explored in fields like medical diagnostics and environmental monitoring. This innovative approach is driving research opportunities and expanding the possibilities for diverse applications in this rapidly evolving field.
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Affiliation(s)
- Ghazaleh Ramezani
- Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada;
| | - Ion Stiharu
- Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada;
| | - Theo G. M. van de Ven
- Department of Chemistry, McGill University, 801 Sherbrooke St. West, Montreal, QC H3A 0B8, Canada;
| | - Vahe Nerguizian
- Department of Electrical Engineering, École de Technologie Supérieure, 1100 Notre Dame West, Montreal, QC H3C 1K3, Canada;
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Abrha FH, Wondimu TH, Kahsay MH, Fufa Bakare F, Andoshe DM, Kim JY. Graphene-based biosensors for detecting coronavirus: a brief review. NANOSCALE 2023; 15:18184-18197. [PMID: 37927083 DOI: 10.1039/d3nr04583h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
The coronavirus (SARS-CoV-2) disease has affected the globe with 770 437 327 confirmed cases, including about 6 956 900 deaths, according to the World Health Organization (WHO) as of September 2023. Hence, it is imperative to develop diagnostic technologies, such as a rapid cost-effective SARS-CoV-2 detection method. A typical biosensor enables biomolecule detection with an appropriate transducer by generating a measurable signal from the sample. Graphene can be employed as a component for ultrasensitive and selective biosensors based on its physical, optical, and electrochemical properties. Herein, we briefly review graphene-based electrochemical, field-effect transistor (FET), and surface plasmon biosensors for detecting the SARS-CoV-2 target. In addition, details on the surface modification, immobilization, sensitivity and limit of detection (LOD) of all three sensors with regard to SARS-CoV-2 were reported. Finally, the point-of-care (POC) detection of SARS-CoV-2 using a portable smartphone and a wearable watch is a current topic of interest.
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Affiliation(s)
- Filimon Hadish Abrha
- Department of Chemistry, College of Natural and Computational Sciences, Aksum University, Aksum 1010, Ethiopia
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Tadele Hunde Wondimu
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Mebrahtu Hagos Kahsay
- Department of Applied Chemistry, College of Natural and Computational Sciences, Mekelle University, Mekelle 231, Ethiopia
- Department of Applied Chemistry, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Fetene Fufa Bakare
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Dinsefa Mensur Andoshe
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Jung Yong Kim
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
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Ramalingam M, Jaisankar A, Cheng L, Krishnan S, Lan L, Hassan A, Sasmazel HT, Kaji H, Deigner HP, Pedraz JL, Kim HW, Shi Z, Marrazza G. Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses. DISCOVER NANO 2023; 18:58. [PMID: 37032711 PMCID: PMC10066940 DOI: 10.1186/s11671-023-03842-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques.
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Affiliation(s)
- Murugan Ramalingam
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
- grid.411982.70000 0001 0705 4288Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
- grid.440424.20000 0004 0595 4604Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Abinaya Jaisankar
- grid.412813.d0000 0001 0687 4946Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Lijia Cheng
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Sasirekha Krishnan
- grid.412813.d0000 0001 0687 4946Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Liang Lan
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Anwarul Hassan
- grid.412603.20000 0004 0634 1084Department of Mechanical and Industrial Engineering, Biomedical Research Center, Qatar University, 2713, Doha, Qatar
| | - Hilal Turkoglu Sasmazel
- grid.440424.20000 0004 0595 4604Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Hirokazu Kaji
- grid.265073.50000 0001 1014 9130Department of Biomechanics, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, 101-0062 Japan
| | - Hans-Peter Deigner
- grid.21051.370000 0001 0601 6589Institute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, 78054 Villingen-Schwenningen, Germany
| | - Jose Luis Pedraz
- grid.11480.3c0000000121671098NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country, 01006 Vitoria-Gasteiz, Spain
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, 28029 Madrid, Spain
| | - Hae-Won Kim
- grid.411982.70000 0001 0705 4288Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
| | - Zheng Shi
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Giovanna Marrazza
- grid.8404.80000 0004 1757 2304Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Florence, Italy
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Ong V, Soleimani A, Amirghasemi F, Khazaee Nejad S, Abdelmonem M, Razaviyayn M, Hosseinzadeh P, Comai L, Mousavi MPS. Impedimetric Sensing: An Emerging Tool for Combating the COVID-19 Pandemic. BIOSENSORS 2023; 13:bios13020204. [PMID: 36831970 PMCID: PMC9953732 DOI: 10.3390/bios13020204] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 06/12/2023]
Abstract
The COVID-19 pandemic revealed a pressing need for the development of sensitive and low-cost point-of-care sensors for disease diagnosis. The current standard of care for COVID-19 is quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). This method is sensitive, but takes time, effort, and requires specialized equipment and reagents to be performed correctly. This make it unsuitable for widespread, rapid testing and causes poor individual and policy decision-making. Rapid antigen tests (RATs) are a widely used alternative that provide results quickly but have low sensitivity and are prone to false negatives, particularly in cases with lower viral burden. Electrochemical sensors have shown much promise in filling this technology gap, and impedance spectroscopy specifically has exciting potential in rapid screening of COVID-19. Due to the data-rich nature of impedance measurements performed at different frequencies, this method lends itself to machine-leaning (ML) algorithms for further data processing. This review summarizes the current state of impedance spectroscopy-based point-of-care sensors for the detection of the SARS-CoV-2 virus. This article also suggests future directions to address the technology's current limitations to move forward in this current pandemic and prepare for future outbreaks.
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Affiliation(s)
- Victor Ong
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Ali Soleimani
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Farbod Amirghasemi
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Sina Khazaee Nejad
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Mona Abdelmonem
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Meisam Razaviyayn
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Parisa Hosseinzadeh
- Knight Campus Center Department of Bioengineering, University of Oregon, Eugene, OR 97403, USA
| | - Lucio Comai
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Maral P. S. Mousavi
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
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7
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Xiao X, Wang M, Cao G. Solar energy harvesting and wireless charging based temperature monitoring system for food storage. SENSORS INTERNATIONAL 2023. [DOI: 10.1016/j.sintl.2022.100208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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8
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Prasanna Kumaar S, Sivasubramanian A. Analysis of BCB and SU 8 photonic waveguide in MZI architecture for point-of-care devices. SENSORS INTERNATIONAL 2023. [DOI: 10.1016/j.sintl.2022.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2023] Open
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9
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KÖKBAŞ U. Korona Virüs Tanısı ve Biyosensörler. ARŞIV KAYNAK TARAMA DERGISI 2022. [DOI: 10.17827/aktd.1117871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Hızla gelişen teknoloji dünyada dijitalleşme çağında laboratuvar tıbbının da bu gelişime ayak uydurarak sensör tabanlı ölçüm sistemlerinin kullanım alanları genişlemektedir. Biyosensörler kolay kullanımı, portatif olması, hızlı ve kesin sonuç vermesi gibi özelliklerinden dolayı salgın hastalık takibinde önemli rol oynayacaktır.
Çin'in Wuhan şehrinde 2019 yılında ortaya çıkan korona virüs hastalığı pandemi haline dönüşmüştür. Pandeminin takibi ve kontrolü için tanı testleri geliştirilmesi ve tanı testlerinde kullanılacak örnek seçimi büyük önem kazanmıştır.
Bu derlemede korona virüs hastalığının tanı ve takibinin günümüzde nasıl yapıldığı hakkında bilgi verip biyosensörlerin tanı ve takip amacıyla kullanılabilirliği hakkında bilgiler verilmektedir.
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Maia R, Carvalho V, Faria B, Miranda I, Catarino S, Teixeira S, Lima R, Minas G, Ribeiro J. Diagnosis Methods for COVID-19: A Systematic Review. MICROMACHINES 2022; 13:1349. [PMID: 36014271 PMCID: PMC9415914 DOI: 10.3390/mi13081349] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 05/15/2023]
Abstract
At the end of 2019, the coronavirus appeared and spread extremely rapidly, causing millions of infections and deaths worldwide, and becoming a global pandemic. For this reason, it became urgent and essential to find adequate tests for an accurate and fast diagnosis of this disease. In the present study, a systematic review was performed in order to provide an overview of the COVID-19 diagnosis methods and tests already available, as well as their evolution in recent months. For this purpose, the Science Direct, PubMed, and Scopus databases were used to collect the data and three authors independently screened the references, extracted the main information, and assessed the quality of the included studies. After the analysis of the collected data, 34 studies reporting new methods to diagnose COVID-19 were selected. Although RT-PCR is the gold-standard method for COVID-19 diagnosis, it cannot fulfill all the requirements of this pandemic, being limited by the need for highly specialized equipment and personnel to perform the assays, as well as the long time to get the test results. To fulfill the limitations of this method, other alternatives, including biological and imaging analysis methods, also became commonly reported. The comparison of the different diagnosis tests allowed to understand the importance and potential of combining different techniques, not only to improve diagnosis but also for a further understanding of the virus, the disease, and their implications in humans.
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Affiliation(s)
- Renata Maia
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
| | - Violeta Carvalho
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
- MEtRICs, Mechanical Engineering Department, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal
- ALGORITMI, Production and Systems Department, School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal
| | - Bernardo Faria
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
| | - Inês Miranda
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
| | - Susana Catarino
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
| | - Senhorinha Teixeira
- ALGORITMI, Production and Systems Department, School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal
| | - Rui Lima
- MEtRICs, Mechanical Engineering Department, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal
- CEFT, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
- ALiCE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
| | - Graça Minas
- Microelectromechanical Systems Research Unit (CMEMS-UMinho), School of Engineering, Campus de Azurém, University of Minho, Guimarães, Portugal
- LABBELS-Associate Laboratory, Braga/Guimarães, Portugal
| | - João Ribeiro
- ALiCE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
- Campus de Santa Apolónia, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Centro de Investigação de Montanha (CIMO), Campus de Santa Apolónia, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Campus de Santa Apolónia, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
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