Chemical Engineering Journal, Год журнала: 2022, Номер 454, С. 140118 - 140118
Опубликована: Ноя. 10, 2022
Язык: Английский
Nano Energy, Год журнала: 2022, Номер 102, С. 107711 - 107711
Опубликована: Авг. 18, 2022
Язык: Английский
Процитировано
128
ACS Sensors, Год журнала: 2024, Номер 9(9), С. 4469 - 4494
Опубликована: Сен. 9, 2024
Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as promising noninvasive nose-on-chip technique for early detection lung through monitoring diversified biomarkers such volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes state-of-the-art breath-based diagnosis employing chemiresistive-module supported by theoretical findings. It unveils fundamental mechanisms biological basis biomarker generation associated with cancer, technological advancements, clinical implementation nanobiosensor-based analysis. explores merits, challenges, potential alternate solutions implementing these settings, including standardization, biocompatibility/toxicity analysis, green sustainable technologies, life-cycle assessment, scheming regulatory modalities. highlights nanobiosensors' role facilitating precise, real-time, on-site leading to improved patient outcomes, enhanced management, remote personalized monitoring. Additionally, integrating biosensors artificial intelligence, machine learning, Internet-of-things, bioinformatics, omics technologies is discussed, providing insights into prospects intelligent sniffing nanobiosensors. Overall, this consolidates knowledge on breathomic biosensor-based screening, shedding light its significance applications advancing medical diagnostics reduce burden hospitals save human lives.
Язык: Английский
Процитировано
32
Small, Год журнала: 2025, Номер unknown
Опубликована: Фев. 19, 2025
Abstract Recently wearable breath sensors have received significant attention in personalized healthcare systems by offering new methods for remote, non‐invasive, and continuous monitoring of various health indicators from samples without disrupting daily routines. The rising demand rapid, diagnostics has sparked concerns over electronic waste short‐lived silicon‐based devices. To address this issue, the development flexible sensing applications is a promising approach. Research highlights different flexible, operating with principles, such as chemiresistive to detect specific target analytes due their simple design, high sensitivity, selectivity, reliability. Further, focusing on non‐invasive detection biomarkers through exhaled breath, offer comprehensive environmentally friendly solution. This article presents discussion recent advancement biomarkers. further emphasizes intricate functioning sensor, including selection criteria both substrate advanced functional materials, mechanisms. review then explores potential gas disease detection, modern challenges associated sensors.
Язык: Английский
Процитировано
3
Journal of Hazardous Materials, Год журнала: 2023, Номер 465, С. 133148 - 133148
Опубликована: Дек. 1, 2023
Язык: Английский
Процитировано
35
Advanced Sensor Research, Год журнала: 2023, Номер 3(3)
Опубликована: Март 18, 2023
Abstract The aging population and the prevalence of infectious diseases have impacted traditional medical order, significantly increasing burden on healthcare adversely affecting socio‐economic system. Medical sensors based artificial intelligence (AI) provide new ideas for modern data collection to monitor health status individuals environmental changes. Meanwhile, with aid AI algorithms, big processing capabilities sensor systems been greatly improved, further realizing early predictions timely diagnoses. In this paper, a brief overview is offered development AI‐enabled off‐body detection, near‐body monitoring, disease prediction, clinical decision support system, ongoing challenges future prospects move from concept implementation are discussed. foreseeable future, breakthroughs in combination algorithms expected pave way detection improve accuracy efficiency diagnosis.
Язык: Английский
Процитировано
29
Micro and Nano Systems Letters, Год журнала: 2024, Номер 12(1)
Опубликована: Янв. 4, 2024
Abstract The World Health Organization reports that metabolic disorders are responsible for a significant proportion of global mortality. Considering this, breath sensors have gained prominence as effective tools monitoring and diagnosing disorders, thanks to recent advancements in science technology. In human exhaled breath, over 870 distinct volatile organic components (VOCs) been identified. Among several VOCs, the detection acetone has received considerable attention biomedical applications. Research indicates strong correlation between high levels diseases, such asthma, halitosis, lung cancer, diabetes mellitus. For instance, is particularly noteworthy biomarker diabetes, where its concentration often surpasses 1.76 parts per million (ppm), compared less than 0.8 ppm healthy individuals. Early diagnosis intervention diseases associated with elevated levels, aided by non-invasive techniques, potential markedly reduce both mortality financial burden healthcare. Over time, various nanostructured gas sensing technologies developed detecting ambient air breath. This article presents mini review cutting-edge research on sensing, focusing specifically metal oxides. It discusses critical factors influencing performance sensors, including operational temperature, which affect their sensitivity, selectivity, response times. aim this encourage further development high-performance utilizing materials, contributing more management disorders.
Язык: Английский
Процитировано
14
ACS Sensors, Год журнала: 2024, Номер 9(6), С. 2728 - 2776
Опубликована: Июнь 3, 2024
The escalating development and improvement of gas sensing ability in industrial equipment, or "machine olfactory", propels the evolution sensors toward enhanced sensitivity, selectivity, stability, power efficiency, cost-effectiveness, longevity. Two-dimensional (2D) materials, distinguished by their atomic-thin profile, expansive specific surface area, remarkable mechanical strength, tunability, hold significant potential for addressing intricate challenges sensing. However, a comprehensive review 2D materials-based applications is absent. This delves into recent advances this field highlights machine olfaction. main content encompasses scenario characteristics, fundamental classification, enhancement methods, underlying mechanisms, diverse applications. Additionally, associated with transitioning material from laboratory to industrialization commercialization are addressed, future-looking viewpoints on next-generation intelligent sensory systems sector prospected.
Язык: Английский
Процитировано
14
TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер 174, С. 117656 - 117656
Опубликована: Март 20, 2024
Язык: Английский
Процитировано
12
ACS Applied Nano Materials, Год журнала: 2024, Номер 7(5), С. 4772 - 4783
Опубликована: Фев. 16, 2024
Respiration is an important physiological parameter used to assess human health and metabolic activity. Herein, we propose a laser-induced graphene (LIG)-based humidity sensor for respiratory monitoring. This fabricated through combination of laser irradiation intense pulsed light (IPL) sintering techniques. Initially, ink containing copper nanoparticles (CuNPs) nanoplatelets (GnPs) coated onto polyimide (PI) substrate. The LIG formed on the PI film using irradiation. To establish reliable electrical connection between electrode, undergoes rapid IPL sintering, resulting in IPL-sintered electrode. technique not only optimizes fabrication process but also obviates need traditional approaches, such as wire bonding, electrode patterning, or application conductive paint sensor. humidity-sensing capabilities are assessed under various relative (RH) conditions. sensor's response escalates from roughly 15 92% RH levels increase 13 67%. showed minimal potential interfering gases like ammonia, ethanol, carbon monoxide, sulfur dioxide, nitrogen dioxide (with responses 0.4, 1.87, 0.102, 0.12, 0.29%, respectively), confirming its high selectivity (91.2%). Additionally, demonstrates exemplary reproducibility, evidenced by consistent (approximately 47.65, 49.13, 48.65, 49.09, 49.39) over five cycles at 40% RH. monitor wide range patterns, including normal, slow, fast, apnea events. effectiveness proven detection breathing patterns 30 min, demonstrating stability reliability extended use continuous These findings highlight significant sensors advanced precision devices clinical monitoring with integration into modern medical practices.
Язык: Английский
Процитировано
11
Sensors and Actuators B Chemical, Год журнала: 2024, Номер 420, С. 136494 - 136494
Опубликована: Авг. 23, 2024
Язык: Английский
Процитировано
11