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Corsato PCR, de Lima LF, Paschoarelli MV, de Araujo WR. Electrochemical sensing at the fingertips: Wearable glove-based sensors for detection of 4-nitrophenol, picric acid and diazepam. CHEMOSPHERE 2024; 363:142771. [PMID: 38969219 DOI: 10.1016/j.chemosphere.2024.142771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 06/18/2024] [Accepted: 07/03/2024] [Indexed: 07/07/2024]
Abstract
A wearable glove-based sensor is a portable and practical approach for onsite detection/monitoring of a variety of chemical threats. Herein, we report a flexible and sensitive wearable sensor fabricated on the nitrile glove fingertips by stencil-printing technique. The working electrodes were modified with multiwalled carbon nanotubes (MWCNTs)/poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) for sensitive and real-time analyses of hazardous or chemical treats, as picric acid (PA) explosive, diazepam (DZ) as drug-facilitated crimes and the emerging pollutant 4-nitrophenol (4-NP). The multi-sensing platform towards PA, 4-NP, and DZ offers the ability of in-situ qualitative and quantitative analyses of powder and liquid samples. A simple sampling by touching or swiping the fingertip sensor on the sample or surface under investigation using an ionic hydrogel combined with fast voltammetry measurement provides timely point-of-need analyses. The wearable glove-based sensor uses the square wave voltammetry (SWV) technique and exhibited excellent performance to detect PA, 4-NP, and DZ, resulting in limits of detection (LOD) of 0.24 μM, 0.35 μM, 0.06 μM, respectively, in a wide concentration range (from 0.5 μM to 100 μM). Also, we obtained excellent manufacturing reproducibility with relative standard deviations (RSD) in the range of 3.65%-4.61% using 7 different wearable devices (n = 7) and stability in the range of 4.86%-6.61% using different electrodes stored for 10 days at room temperature (n = 10), demonstrating the excellent sensor-to-sensor reproducibility and stability for reliable in-field measurements. The stretchable sensor presented great mechanical robustness, supporting up to 80 bending or stretching deformation cycles without significant voltammetric changes. Collectively, our wearable glove-based sensor may be employed for analyses of chemical contaminants of concern, such as explosives (PA), drugs (DZ), and emerging pollutants (4-NP), helping in environmental and public safety control.
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Affiliation(s)
- Paula C R Corsato
- Laboratório de Sensores Químicos Portáteis, Instituto de Química, Universidade Estadual de Campinas - UNICAMP, 13083-970, Campinas, SP, Brazil
| | - Lucas F de Lima
- Laboratório de Sensores Químicos Portáteis, Instituto de Química, Universidade Estadual de Campinas - UNICAMP, 13083-970, Campinas, SP, Brazil
| | - Mayra V Paschoarelli
- Laboratório de Sensores Químicos Portáteis, Instituto de Química, Universidade Estadual de Campinas - UNICAMP, 13083-970, Campinas, SP, Brazil
| | - William R de Araujo
- Laboratório de Sensores Químicos Portáteis, Instituto de Química, Universidade Estadual de Campinas - UNICAMP, 13083-970, Campinas, SP, Brazil.
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Voitiuk K, Seiler ST, Pessoa de Melo M, Geng J, Hernandez S, Schweiger HE, Sevetson JL, Parks DF, Robbins A, Torres-Montoya S, Ehrlich D, Elliott MAT, Sharf T, Haussler D, Mostajo-Radji MA, Salama SR, Teodorescu M. A feedback-driven IoT microfluidic, electrophysiology, and imaging platform for brain organoid studies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.15.585237. [PMID: 38559212 PMCID: PMC10979982 DOI: 10.1101/2024.03.15.585237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The analysis of tissue cultures, particularly brain organoids, takes a high degree of coordination, measurement, and monitoring. We have developed an automated research platform enabling independent devices to achieve collaborative objectives for feedback-driven cell culture studies. Unified by an Internet of Things (IoT) architecture, our approach enables continuous, communicative interactions among various sensing and actuation devices, achieving precisely timed control of in vitro biological experiments. The framework integrates microfluidics, electrophysiology, and imaging devices to maintain cerebral cortex organoids and monitor their neuronal activity. The organoids are cultured in custom, 3D-printed chambers attached to commercial microelectrode arrays for electrophysiology monitoring. Periodic feeding is achieved using programmable microfluidic pumps. We developed computer vision fluid volume estimations of aspirated media, achieving high accuracy, and used feedback to rectify deviations in microfluidic perfusion during media feeding/aspiration cycles. We validated the system with a 7-day study of mouse cerebral cortex organoids, comparing manual and automated protocols. The automated experimental samples maintained robust neural activity throughout the experiment, comparable with the control samples. The automated system enabled hourly electrophysiology recordings that revealed dramatic temporal changes in neuron firing rates not observed in once-a-day recordings.
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Bascuas PJ, Gutiérrez H, Piedrafita E, Rabal-Pelay J, Berzosa C, Bataller-Cervero AV. Running Economy in the Vertical Kilometer. SENSORS (BASEL, SWITZERLAND) 2023; 23:9349. [PMID: 38067721 PMCID: PMC10708873 DOI: 10.3390/s23239349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/16/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023]
Abstract
New and promising variables are being developed to analyze performance and fatigue in trail running, such as mechanical power, metabolic power, metabolic cost of transport and mechanical efficiency. The aim of this study was to analyze the behavior of these variables during a real vertical kilometer field test. Fifteen trained trail runners, eleven men (from 22 to 38 years old) and four women (from 19 to 35 years old) performed a vertical kilometer with a length of 4.64 km and 835 m positive slope. During the entire race, the runners were equipped with portable gas analyzers (Cosmed K5) to assess their cardiorespiratory and metabolic responses breath by breath. Significant differences were found between top-level runners versus low-level runners in the mean values of the variables of mechanical power, metabolic power and velocity. A repeated-measures ANOVA showed significant differences between the sections, the incline and the interactions between all the analyzed variables, in addition to differences depending on the level of the runner. The variable of mechanical power can be statistically significantly predicted from metabolic power and vertical net metabolic COT. An algebraic expression was obtained to calculate the value of metabolic power. Integrating the variables of mechanical power, vertical velocity and metabolic power into phone apps and smartwatches is a new opportunity to improve performance monitoring in trail running.
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Affiliation(s)
| | | | | | | | - César Berzosa
- Facultad de Ciencias de la Salud, Universidad San Jorge, Autov. A-23 Zaragoza-Huesca, 50830 Villanueva de Gallego, Spain; (P.J.B.); (H.G.); (E.P.); (J.R.-P.); (A.V.B.-C.)
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White DA, Layton AM, Curran T, Gauthier N, Orr WB, Ward K, Vernon M, Martinez MN, Rice MC, Hansen K, Prusi M, Hansen JE. ehealth technology in cardiac exercise therapeutics for pediatric patients with congenital and acquired heart conditions: a summary of evidence and future directions. Front Cardiovasc Med 2023; 10:1155861. [PMID: 37332590 PMCID: PMC10272804 DOI: 10.3389/fcvm.2023.1155861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Many children and adolescents with congenital and acquired heart disease (CHD) are physically inactive and participate in an insufficient amount of moderate-to-vigorous intensity exercise. Although physical activity (PA) and exercise interventions are effective at improving short- and long-term physiological and psychosocial outcomes in youth with CHD, several barriers including resource limitations, financial costs, and knowledge inhibit widespread implementation and dissemination of these beneficial programs. New and developing eHealth, mHealth, and remote monitoring technologies offer a potentially transformative and cost-effective solution to increase access to PA and exercise programs for youth with CHD, yet little has been written on this topic. In this review, a cardiac exercise therapeutics (CET) model is presented as a systematic approach to PA and exercise, with assessment and testing guiding three sequential PA and exercise intervention approaches of progressive intensity and resource requirements: (1) PA and exercise promotion within a clinical setting; (2) unsupervised exercise prescription; and (3) medically supervised fitness training intervention (i.e., cardiac rehabilitation). Using the CET model, the goal of this review is to summarize the current evidence describing the application of novel technologies within CET in populations of children and adolescents with CHD and introduce potential future applications of these technologies with an emphasis on improving equity and access to patients in low-resource settings and underserved communities.
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Affiliation(s)
- David A. White
- Ward Family Heart Center, Children’s Mercy Kansas City, Kansas City, MO, United States
- School of Medicine, University of Missouri Kansas City, Kansas City, MO, United States
| | - Aimee M. Layton
- Division of Pediatric Cardiology, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, United States
| | - Tracy Curran
- Department of Cardiology, Boston Children’s Hospital, Boston, MA, United States
| | - Naomi Gauthier
- Department of Cardiology, Boston Children’s Hospital, Boston, MA, United States
| | - William B. Orr
- Division of Pediatric Cardiology, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
| | - Kendra Ward
- Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
| | - Meg Vernon
- Division of Cardiology, Department of Pediatrics, Seattle Children’s Hospital, Seattle, WA, United States
| | - Matthew N. Martinez
- Division of Pediatric Cardiology, Department of Pediatrics, Hassenfeld Children’s Hospital at NYU Langone, New York, NY, United States
| | - Malloree C. Rice
- Division of Pediatric Cardiology, Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - Katherine Hansen
- Department of Cardiology, Boston Children’s Hospital, Boston, MA, United States
| | - Megan Prusi
- Division of Pediatric Cardiology, Department of Pediatrics, C.S. Mott Children’s Hospital, Ann Arbor, MI, United States
| | - Jesse E. Hansen
- Division of Pediatric Cardiology, Department of Pediatrics, C.S. Mott Children’s Hospital, Ann Arbor, MI, United States
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Scott WC, Hando BR, Butler CR, Mata JD, Bryant JF, Angadi SS. Force plate vertical jump scans are not a valid proxy for physical fitness in US special warfare trainees. Front Physiol 2022; 13:966970. [PMID: 36467678 PMCID: PMC9709481 DOI: 10.3389/fphys.2022.966970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 10/31/2022] [Indexed: 07/26/2023] Open
Abstract
Background: The United States Air Force Special Warfare Training Wing (SWTW) administers a comprehensive physical fitness test to active duty Airmen entering the Special Warfare training pipeline. The Sparta Science™ system utilizes proprietary software to analyze the force-time curve of a vertical jump and purports to serve as a proxy for traditional military fitness tests. The Sparta Science™ system produces four proprietary metrics, including the Sparta™ Score, which is correlated to high magnitudes of force production purportedly performance. This study investigated how Sparta™ Jump Scans correlate to components of a physical fitness test utilized within the SW training pipeline. Methods: At the entry and exit of an 8-week Special Warfare Training Wing preparatory course (SW PREP), 643 trainees completed both an initial and final Sparta™ Jump Scan and a Candidate Fitness Test (CFT). The Candidate Fitness Test consists of eight components and tests several different domains of fitness including strength, power, muscular endurance, swimming proficiency, and cardiovascular fitness. Paired t-tests were used to determine if Sparta™ Jump Scan metrics and CFT components changed during SW PREP. Sparta™ Score's correlation was assessed against every other Sparta™ Jump Scan metric and all CFT fitness measures. Results: This study found that the Sparta™ Jump Scan metrics decline slightly over SW PREP (p < 0.05; negligible-small effect size), while most CFT measures improve (p < 0.05; small-medium effect size). Changes in Sparta™ Jump Scan metrics did not reflect the changes in CFT performance over SW PREP (r 2: 0.00-0.03). Conclusion: The Sparta™ Score was not correlated to the most tactically-relevant fitness measures (rucking and swimming), and only weakly correlated with the only jumping measure on the fitness test, the standing broad jump.
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Affiliation(s)
- W Casan Scott
- US Air Force Special Warfare Training Wing, San Antonio, TX, United States
- National Council on Compensation Insurance, Boca Raton, FL, United States
| | - Ben R Hando
- US Air Force Special Warfare Training Wing, San Antonio, TX, United States
- Kennell & Associates, Inc., Fall Church, VA, United States
| | - Cody R Butler
- US Air Force Special Warfare Training Wing, San Antonio, TX, United States
| | - John D Mata
- US Air Force Special Warfare Training Wing, San Antonio, TX, United States
| | - Jacob F Bryant
- US Air Force Special Warfare Training Wing, San Antonio, TX, United States
| | - Siddhartha S Angadi
- Department of Kinesiology, School of Education and Human Development, University of Virginia, Charlottesville, VA, United States
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Bota P, Fred A, Valente J, Wang C, Silva HPD. A dissimilarity-based approach to automatic classification of biosignal modalities. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2021.108203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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