Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(11)
Published: Oct. 15, 2024
Language: Английский
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4469 - 4494
Published: Sept. 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.
Language: Английский
Citations
27
TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 172, P. 117573 - 117573
Published: Feb. 9, 2024
Nanozymes, enzyme-mimetic nanomaterials that combine features of nanoscale material with the catalytic properties enzymes, have undergone rapid development in recent years. While enzymes remained integral to biosensor technologies for past few decades, potential nanozymes overcome low stability and high production costs biological is turning them into promising candidates. Over decade, been explored a myriad biosensing applications. However, only small subset these efforts has resulted devices platforms are potentially suitable on-site/point-of-care monitoring. To promote this area, review first provides concise overview different paper-based technologies, their architecture functionality, language conducive nanozyme research community. The review, then, critically discusses progress made integration on-site detection food contaminants, environmental pollutants, disease biomarkers. challenges associated transition solution-based biosensors relevant highlighted, strategies those proposed. We envision could narrow gap impeding translation nanozyme-based from laboratories real-world scenarios by encouraging consolidated cross-disciplinary trans-sectoral efforts.
Language: Английский
Citations
21
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4495 - 4519
Published: Aug. 15, 2024
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing rapid, low-cost, and simple diagnostic options. The integration Machine Learning (ML) into biosensors ushered in a new era innovation the field PoCT. This article investigates numerous uses transformational possibilities ML improving for algorithms, which are capable processing interpreting complicated biological data, have transformed accuracy, sensitivity, speed procedures variety healthcare contexts. review explores multifaceted applications models, including classification regression, displaying how they contribute to capabilities biosensors. roles ML-assisted electrochemical sensors, lab-on-a-chip electrochemiluminescence/chemiluminescence colorimetric wearable sensors diagnosis explained detail. Given increasingly important role PoCT, this study serves valuable reference researchers, clinicians, policymakers interested understanding emerging landscape point-of-care diagnostics.
Language: Английский
Citations
20
Plasmonics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 20, 2025
Language: Английский
Citations
9
Microchemical Journal, Journal Year: 2024, Volume and Issue: 200, P. 110350 - 110350
Published: March 19, 2024
Language: Английский
Citations
13
Food Chemistry, Journal Year: 2024, Volume and Issue: 445, P. 138800 - 138800
Published: Feb. 18, 2024
Language: Английский
Citations
12
Heliyon, Journal Year: 2024, Volume and Issue: 10(18), P. e37964 - e37964
Published: Sept. 1, 2024
Language: Английский
Citations
12
Biosensors, Journal Year: 2024, Volume and Issue: 14(11), P. 560 - 560
Published: Nov. 18, 2024
Wearable biosensors are a fast-evolving topic at the intersection of healthcare, technology, and personalized medicine. These sensors, which frequently integrated into clothes accessories or directly applied to skin, provide continuous, real-time monitoring physiological biochemical parameters such as heart rate, glucose levels, hydration status. Recent breakthroughs in downsizing, materials science, wireless communication have greatly improved functionality, comfort, accessibility wearable biosensors. This review examines present status biosensor with an emphasis on advances sensor design, fabrication techniques, data analysis algorithms. We analyze diverse applications clinical diagnostics, chronic illness management, fitness tracking, emphasizing their capacity transform health facilitate early disease diagnosis. Additionally, this seeks shed light future healthcare wellness by summarizing existing trends new advancements.
Language: Английский
Citations
12
Clinica Chimica Acta, Journal Year: 2024, Volume and Issue: 562, P. 119888 - 119888
Published: July 24, 2024
Language: Английский
Citations
10
Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 263, P. 116632 - 116632
Published: Aug. 3, 2024
Microfluidic devices are increasingly widespread in the literature, being applied to numerous exciting applications, from chemical research Point-of-Care devices, passing through drug development and clinical scenarios. Setting up these microenvironments, however, introduces necessity of locally controlling variables involved phenomena under investigation. For this reason, literature has deeply explored possibility introducing sensing elements investigate physical quantities biochemical concentration inside microfluidic devices. Biosensors, particularly, well known for their high accuracy, selectivity, responsiveness. However, signals could be challenging interpret must carefully analysed carry out correct information. In addition, proper data analysis been demonstrated even increase biosensors' mentioned qualities. To regard, machine learning algorithms undoubtedly among most suitable approaches undertake job, automatically highlighting biosensor signals' characteristics at best. Interestingly, it was also benefit themselves, a new paradigm that is starting name "intelligent microfluidics", ideally closing benefic interaction disciplines. This review aims demonstrate advantages triad microfluidics-biosensors-machine learning, which still little used but great perspective. After briefly describing single entities, different sections will benefits dual interactions, applications where reviewed employed.
Language: Английский
Citations
10