Ingenious Microfluidic-Microwave integrated biosensor for cell sorting and concentration detection of mixed white blood cells and yeasts solution DOI
Yuanbo Li, Yan-Xiong Wang, Sen Yang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159741 - 159741

Published: Jan. 1, 2025

Language: Английский

Recent advances in electrochemical biosensors – A brief review DOI Creative Commons

M.S. Sumitha,

T.S. Xavier

Hybrid Advances, Journal Year: 2023, Volume and Issue: 2, P. 100023 - 100023

Published: Jan. 25, 2023

A sensitive biological system and a detector with appropriate transducers for obtaining the output signals make up biosensor. These devices have wide range of uses, including disease screening, detection environmental pollutants, agriculture, routine medical examinations. The product's selectivity, sensitivity, stability, lower production costs will all be critical factors in its widespread commercialisation. Recently, scientists tackled issue developing nano biosensor high degree sensitivity selectivity recognition biomarkers immune responses cancer. fact that electrochemical biosensors may successfully employed detecting medications addition to pathogen has significantly altered COVID picture our favour. During worldwide epidemic, number cutting-edge SARS - CoV-2 portable, smartphone-connected instant were helpful. This article provides concise summary underlying working principle, generations developments numerous methods by biosensors. difficulties, knowledge gaps, possible solutions field are discussed context this categorisation. novel overview also sheds light on different kinds tasks they perform, as well recent “smart biosensor” industry potential future directions challenges growing subject.

Language: Английский

Citations

108

Novel Wearable Optical Sensors for Vital Health Monitoring Systems—A Review DOI Creative Commons
Baljinder Kaur, Santosh Kumar, Brajesh Kumar Kaushik

et al.

Biosensors, Journal Year: 2023, Volume and Issue: 13(2), P. 181 - 181

Published: Jan. 23, 2023

Wearable sensors are pioneering devices to monitor health issues that allow the constant monitoring of physical and biological parameters. The immunity towards electromagnetic interference, miniaturization, detection nano-volumes, integration with fiber, high sensitivity, low cost, usable in harsh environments corrosion-resistant have made optical wearable sensor an emerging sensing technology recent year. This review presents progress development novel for vital systems. details different substrates, platforms, biofluids used target molecules discussed detail. technologies could increase quality systems at a nominal cost enable continuous early disease diagnosis. Various principles, including surface-enhanced Raman scattering, colorimetric, fluorescence, plasmonic, photoplethysmography, interferometric-based sensors, detail applications. performance utilizing two-dimensional materials is also discussed. Future challenges associated point-of-care applications clinical diagnosis been thoroughly

Language: Английский

Citations

86

Advances and challenges in portable optical biosensors for onsite detection and point-of-care diagnostics DOI
Sufian Rasheed,

Tehreem Kanwal,

Naseer Ahmad

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 173, P. 117640 - 117640

Published: March 8, 2024

Language: Английский

Citations

71

A Highly Stretchable, Conductive, and Transparent Bioadhesive Hydrogel as a Flexible Sensor for Enhanced Real‐Time Human Health Monitoring DOI
Arpita Roy,

Shea Zenker,

Saumya Jain

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(35)

Published: June 21, 2024

Real-time continuous monitoring of non-cognitive markers is crucial for the early detection and management chronic conditions. Current diagnostic methods are often invasive not suitable at-home monitoring. An elastic, adhesive, biodegradable hydrogel-based wearable sensor with superior accuracy durability real-time human health developed. Employing a supramolecular engineering strategy, pseudo-slide-ring hydrogel synthesized by combining polyacrylamide (pAAm), β-cyclodextrin (β-CD), poly 2-(acryloyloxy)ethyltrimethylammonium chloride (AETAc) bio ionic liquid (Bio-IL). This novel approach decouples conflicting mechano-chemical effects arising from different molecular building blocks provides balance mechanical toughness (1.1 × 10

Language: Английский

Citations

60

The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics? DOI Creative Commons
Sagar S. Arya, Sofia B. Dias, Herbert F. Jelinek

et al.

Biosensors and Bioelectronics, Journal Year: 2023, Volume and Issue: 235, P. 115387 - 115387

Published: May 11, 2023

Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology have brought to fore low-cost wearable/portable smart devices. Although numerous devices that track digital biomarkers been successfully translated from bench-to-bedside, only a few follow same fate when it comes traditional biomarkers. Current practices still involve laboratory-based tests, followed by blood collection, conducted clinical setting as they require trained personnel specialized equipment. In fact, real-time, passive/active robust sensing physiological behavioural data patients can feed artificial intelligence (AI)-based models significantly improve decision-making, diagnosis treatment at point-of-procedure, circumventing conventional methods sampling, person investigation expert pathologists, who are scarce developing countries. This review brings together biomarker through portable autonomous miniaturized We first summarise technological advances each field vs current we conclude merging two worlds AI/ML technologies patient treatment. The fundamental role, limitations prospects AI realizing this potential enhancing existing facilitate development translation "point-of-care" (POC) diagnostics is finally showcased.

Language: Английский

Citations

58

An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review DOI Creative Commons
Rosita Guido, Stefania Ferrisi, Danilo Lofaro

et al.

Information, Journal Year: 2024, Volume and Issue: 15(4), P. 235 - 235

Published: April 19, 2024

Support vector machines (SVMs) are well-known machine learning algorithms for classification and regression applications. In the healthcare domain, they have been used a variety of tasks including diagnosis, prognosis, prediction disease outcomes. This review is an extensive survey on current state-of-the-art SVMs developed applied in medical field over years. Many variants SVM-based approaches to enhance their generalisation capabilities. We illustrate most interesting models that improve performance metrics benchmark datasets, hybrid methods combine, instance, optimization with SVMs. even report results found applications related real-world data. Several issues around SVMs, such as selection hyperparameters from data questionable quality, discussed well. The several introduced years could be useful designing new critical fields healthcare, where accuracy, specificity, other crucial. Finally, research trends future directions underlined.

Language: Английский

Citations

55

Microneedle Sensors for Point‐of‐Care Diagnostics DOI Creative Commons
Yubing Hu, Eleni Chatzilakou,

Zhisheng Pan

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(12)

Published: Jan. 15, 2024

Abstract Point‐of‐care (POC) has the capacity to support low‐cost, accurate and real‐time actionable diagnostic data. Microneedle sensors have received considerable attention as an emerging technique evolve blood‐based diagnostics owing their direct painless access a rich source of biomarkers from interstitial fluid. This review systematically summarizes recent innovations in microneedle with particular focus on utility POC personalized medicine. The integration various sensing techniques, mostly electrochemical optical sensing, been established diverse architectures “lab‐on‐a‐microneedle” platforms. tailored geometries, mechanical flexibility, biocompatibility are constructed variety materials fabrication methods. Microneedles categorized into four types: metals, inorganics, polymers, hydrogels, elaborated state‐of‐the‐art bioengineering strategies for minimally invasive, continuous, multiplexed sensing. employed detect wide range electrolytes, metabolites, polysaccharides, nucleic acids, proteins drugs. Insightful perspectives outlined biofluid, microneedles, biosensors, devices, theragnostic instruments, which depict bright future upcoming intelligent health management.

Language: Английский

Citations

39

Challenges and Advances of Hydrogel-Based Wearable Electrochemical Biosensors for Real-Time Monitoring of Biofluids: From Lab to Market. A Review DOI
Hossein Chenani, Mohsen Saeidi, MahsaSadat Adel Rastkhiz

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(20), P. 8160 - 8183

Published: Feb. 20, 2024

ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTChallenges and Advances of Hydrogel-Based Wearable Electrochemical Biosensors for Real-Time Monitoring Biofluids: From Lab to Market. A ReviewHossein ChenaniHossein ChenaniDepartment Materials Science Engineering, Sharif University Technology, 14588 89694 Tehran, IranMore by Hossein ChenaniView Biographyhttps://orcid.org/0009-0009-6924-6491, Mohsen Saeidi*Mohsen SaeidiDepartment Iran*Tel: +98-21-6616 5262; Fax: +98-21-6600 5717; Email: [email protected]More SaeidiView Biographyhttps://orcid.org/0000-0001-5430-3339, MahsaSadat Adel RastkhizMahsaSadat RastkhizDepartment RastkhizView Biographyhttps://orcid.org/0009-0002-6628-6868, Nafiseh BolghanabadiNafiseh BolghanabadiDepartment BolghanabadiView Biographyhttps://orcid.org/0009-0004-1151-2201, Amir AghaiiAmir AghaiiDepartment AghaiiView Biographyhttps://orcid.org/0009-0006-2561-9119, Mina OroujiMina OroujiDepartment OroujiView Biographyhttps://orcid.org/0009-0007-6375-6437, HatamieAmir HatamieDepartment Chemistry Molecular Biology, Gothenburg, Sweden; Department Chemistry, Institute Advanced Studies in Basic Sciences (IASBS), Prof. Sobouti Boulevard, PO Box 45195-1159, Zanjan 45137-66731, HatamieView Biographyhttps://orcid.org/0000-0002-7085-893X, Abdolreza Simchi*Abdolreza SimchiDepartment IranCenter Bioscience Convergence Tehran 14588-89694, 5226; SimchiView Biographyhttps://orcid.org/0000-0002-9111-2977Cite this: Anal. Chem. 2024, 96, 20, 8160–8183Publication Date (Web):February 2024Publication History Received2 September 2023Accepted1 February 2024Revised24 January 2024Published online20 inissue 21 May 2024https://pubs.acs.org/doi/10.1021/acs.analchem.3c03942https://doi.org/10.1021/acs.analchem.3c03942review-articleACS PublicationsCopyright © 2024 American Chemical SocietyRequest reuse permissionsArticle Views1518Altmetric-Citations1LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum full text article downloads since November 2008 (both PDF HTML) across all institutions individuals. These metrics regularly updated reflect usage leading up last few days.Citations number other articles citing this article, calculated Crossref daily. Find more information about citation counts.The Altmetric Attention Score is a quantitative measure attention that research has received online. Clicking on donut icon will load page at altmetric.com with additional details score social media presence given article. how calculated. Share Add toView InAdd Full Text ReferenceAdd Description ExportRISCitationCitation abstractCitation referencesMore Options onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Biotechnology,Carbohydrates,Electrodes,Hydrogels,Sensors Get e-Alerts

Language: Английский

Citations

36

AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring DOI Creative Commons
Tomasz Wasilewski, Wojciech Kamysz, Jacek Gębicki

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(7), P. 356 - 356

Published: July 22, 2024

The steady progress in consumer electronics, together with improvement microflow techniques, nanotechnology, and data processing, has led to implementation of cost-effective, user-friendly portable devices, which play the role not only gadgets but also diagnostic tools. Moreover, numerous smart devices monitor patients' health, some them are applied point-of-care (PoC) tests as a reliable source evaluation patient's condition. Current practices still based on laboratory tests, preceded by collection biological samples, then tested clinical conditions trained personnel specialistic equipment. In practice, collecting passive/active physiological behavioral from patients real time feeding artificial intelligence (AI) models can significantly improve decision process regarding diagnosis treatment procedures via omission conventional sampling while excluding pathologists. A combination novel methods digital traditional biomarker detection portable, autonomous, miniaturized revolutionize medical diagnostics coming years. This article focuses comparison modern techniques AI machine learning (ML). presented technologies will bypass laboratories start being commercialized, should lead or substitution current Their application PoC settings technology accessible every patient appears be possibility. Research this field is expected intensify Technological advancements sensors biosensors anticipated enable continuous real-time analysis various omics fields, fostering early disease intervention strategies. integration health platforms would predictive personalized healthcare, emphasizing importance interdisciplinary collaboration related scientific fields.

Language: Английский

Citations

34

Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity DOI Creative Commons
Raihan Uddin, Insoo Koo

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(5), P. 1876 - 1876

Published: Feb. 25, 2024

This comprehensive review paper explores the intricate integration of biosensors with multi-hop Internet Things (IoT) systems, representing a paradigm shift in healthcare through real-time remote patient monitoring. The strategic deployment different locations medical facilities, intricately connected to multiple microcontrollers, serves as cornerstone establishment robust IoT networks. highlights role this network, which efficiently facilitates seamless transmission vital health data centralized server. Crucially, utilization cloud connectivity emerges linchpin integration, providing secure and scalable platform for cloud-based approach not only improves accessibility critical information but also transcends physical limitations, allowing providers monitor patients from any location. transformative potential overcoming traditional limitations

Language: Английский

Citations

25