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Chimene D, Saleem W, Longbottom N, Ko B, Jeevarathinam AS, Horn S, McShane MJ. Long-Term Evaluation of Inserted Nanocomposite Hydrogel-Based Phosphorescent Oxygen Biosensors: Evolution of Local Tissue Oxygen Levels and Foreign Body Response. ACS APPLIED BIO MATERIALS 2024; 7:3964-3980. [PMID: 38809780 PMCID: PMC11190996 DOI: 10.1021/acsabm.4c00336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
Phosphorescence-based oxygen-sensing hydrogels are a promising platform technology for an upcoming generation of insertable biosensors that are smaller, softer, and potentially more biocompatible than earlier designs. However, much remains unknown about their long-term performance and biocompatibility in vivo. In this paper, we design and evaluate a range of hydrogel sensors that contain oxygen-sensitive phosphors stabilized by micro- and nanocarrier systems. These devices demonstrated consistently good performance and biocompatibility in young adult rats for over three months. This study thoroughly establishes the biocompatibility and long-term suitability of phosphorescence lifetime sensors in vivo, providing the groundwork for expansion of this platform technology into a family of small, unobtrusive biosensors for a range of clinically relevant metabolites.
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Affiliation(s)
- David Chimene
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Waqas Saleem
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Nichole Longbottom
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Veterinary Anatomy and Pathobiology, Texas A&M University, College Station, Texas 77843, United States
| | - Brian Ko
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | | | - Staci Horn
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Veterinary Anatomy and Pathobiology, Texas A&M University, College Station, Texas 77843, United States
| | - Michael J. McShane
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Materials Science & Engineering, Texas A&M University, College Station, Texas 77843, United States
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Lafuente JL, González S, Aibar C, Rivera D, Avilés E, Beunza JJ. Continuous and Non-Invasive Lactate Monitoring Techniques in Critical Care Patients. BIOSENSORS 2024; 14:148. [PMID: 38534255 DOI: 10.3390/bios14030148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/05/2024] [Accepted: 03/09/2024] [Indexed: 03/28/2024]
Abstract
Lactate, once merely regarded as an indicator of tissue hypoxia and muscular fatigue, has now gained prominence as a pivotal biomarker across various medical disciplines. Recent research has unveiled its critical role as a high-value prognostic marker in critical care medicine. The current practice of lactate detection involves periodic blood sampling. This approach is invasive and confined to measurements at six-hour intervals, leading to resource expenditure, time consumption, and patient discomfort. This review addresses non-invasive sensors that enable continuous monitoring of lactate in critical care patients. After the introduction, it discusses the iontophoresis system, followed by a description of the structural materials that are universally employed to create an interface between the integumentary system and the sensor. Subsequently, each method is detailed according to its physical principle, outlining its advantages, limitations, and pertinent aspects. The study concludes with a discussion and conclusions, aiming at the design of an intelligent sensor (Internet of Medical Things or IoMT) to facilitate continuous lactate monitoring and enhance the clinical decision-making support system in critical care medicine.
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Affiliation(s)
- Jose-Luis Lafuente
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Engineering Department, School of Architecture, Engineering & Design, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
| | - Samuel González
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Intensive Care Unit, Hospital Universitario HLA Moncloa, 28008 Madrid, Spain
| | - Clara Aibar
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Engineering Department, School of Architecture, Engineering & Design, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
| | - Desirée Rivera
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Engineering Department, School of Architecture, Engineering & Design, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
| | - Eva Avilés
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Engineering Department, School of Architecture, Engineering & Design, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
| | - Juan-Jose Beunza
- IASalud, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Research and Doctorate School, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
- Department of Medicine, Health and Sports, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
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Chi L, Zhang C, Wu X, Qian X, Sun H, He M, Guo C. Research Progress on Biomimetic Nanomaterials for Electrochemical Glucose Sensors. Biomimetics (Basel) 2023; 8:biomimetics8020167. [PMID: 37092419 PMCID: PMC10123724 DOI: 10.3390/biomimetics8020167] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/16/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023] Open
Abstract
Diabetes has become a chronic disease that necessitates timely and accurate detection. Among various detection methods, electrochemical glucose sensors have attracted much attention because of low cost, real-time detection, and simple and easy operation. Nonenzymatic biomimetic nanomaterials are the vital part in electrochemical glucose sensors. This review article summarizes the methods to enhance the glucose sensing performance of noble metal, transition metal oxides, and carbon-based materials and introduces biomimetic nanomaterials used in noninvasive glucose detection in sweat, tear, urine, and saliva. Based on these, this review provides the foundation for noninvasive determination of trace glucose for diabetic patients in the future.
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Affiliation(s)
- Lili Chi
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Chunmei Zhang
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xuanyu Wu
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xianghao Qian
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Hao Sun
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Mengru He
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Chunxian Guo
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
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