Advancements in Cortisol Detection: From Conventional Methods to Next-Generation Technologies for Enhanced Hormone Monitoring

ACS Sensors, Год журнала: 2024, Номер 9(4), С. 1666 - 1681

Опубликована: Март 29, 2024

The hormone cortisol, released as the end-product of hypothalamic-pituitary-adrenal (HPA) axis, has a well-characterized circadian rhythm that enables an allostatic response to external stressors. When pattern secretion is disrupted, cortisol levels are chronically elevated, contributing diseases such heart attacks, strokes, mental health disorders, and diabetes. diagnosis chronic stress related disorders depends upon accurate measurement levels; currently, it quantified using mass spectroscopy or immunoassay, in specialized laboratories with trained personnel. However, these methods time-consuming, expensive unable capture dynamic biorhythm hormone. This critical review traces path detection from traditional laboratory-based decentralised monitoring biosensors. A complete picture biology pathophysiology provided, importance precision medicine style highlighted. Antibody-based immunoassays still dominate pipeline development point-of-care biosensors; new molecules aptamers molecularly imprinted polymers (MIPs) combined technologies microfluidics, wearable electronics, quantum dots offer improvements limit (LoD), specificity, shift toward rapid continuous measurements. While variety different sensors devices have been proposed, there exists need produce quantitative tests for ─ either can enable personalized approach management. be addressed by synergistic combinations leverage low sample volumes, relevant testing time, better account cortisol's shifting biorhythm. Trends diagnostics hormones highlighted, along insights into choice matrix.

Язык: Английский

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Carbon quantum dots: A systematic overview of recent developments in synthesis, properties, and novel therapeutic applications

Inorganic Chemistry Communications, Год журнала: 2024, Номер 165, С. 112492 - 112492

Опубликована: Май 9, 2024

Язык: Английский

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Design and analysis of high-sensitivity hormone sensor with KNN behavior prediction for healthcare and biomedical applications

Measurement, Год журнала: 2024, Номер 242, С. 116172 - 116172

Опубликована: Ноя. 15, 2024

Язык: Английский

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Graphene-Based SPR Sensor Design for Bio-Alcohol Detection in the Terahertz Regime with Machine Learning Optimization Using XGBoost Regressor

Plasmonics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Язык: Английский

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Machine Learning Optimized Optical Surface Plasmon Resonance Biosensor Using Locally Weighted Linear Regression for Rapid and Accurate Detection of Tuberculosis Biomarkers

Plasmonics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 8, 2025

Язык: Английский

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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 6, 2025

Язык: Английский

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Surface Plasmon Resonance-Based Biodetection Systems: Principles, Progress and Applications—A Comprehensive Review

Biosensors, Год журнала: 2025, Номер 15(1), С. 35 - 35

Опубликована: Янв. 9, 2025

Surface Plasmon Resonance (SPR)-based biodetection systems have emerged as powerful tools for real-time, label-free biomolecular interaction analysis, revolutionizing fields such diagnostics, drug discovery, and environmental monitoring. This review highlights the foundational principles of SPR, focusing on interplay evanescent waves surface plasmons that underpin its high sensitivity specificity. Recent advancements in SPR technology, including enhancements sensor chip materials, integration with nanostructures, coupling complementary detection techniques, are discussed to showcase their role improving analytical performance. The paper also explores diverse applications systems, ranging from pathogen cancer biomarker identification food safety monitoring toxin analysis. By providing a comprehensive overview technological progress emerging trends, this underscores transformative potential SPR-based addressing critical scientific societal challenges. Future directions challenges, miniaturization, cost reduction, expanding multiplexing capabilities, presented guide ongoing research development rapidly evolving field.

Язык: Английский

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Recent Advances in Nanotechnology-Based Drug Delivery Systems for the Diagnosis and Treatment of Reproductive Disorders

ACS Applied Bio Materials, Год журнала: 2024, Номер 7(3), С. 1336 - 1361

Опубликована: Фев. 27, 2024

Over the past decade, nanotechnology has seen extensive integration into biomedical applications, playing a crucial role in biodetection, drug delivery, and diagnostic imaging. This is especially important reproductive health care, which become an emerging significant area of research. Global concerns have intensified around disorders such as infertility, endometriosis, ectopic pregnancy, erectile dysfunction, benign prostate hyperplasia, sexually transmitted infections, cancers. Nanotechnology presents promising solutions to address these by introducing innovative tools techniques, facilitating early detection, targeted improved imaging capabilities. Through utilization nanoscale materials devices, researchers can craft treatments that are not only more precise but also effective, significantly enhancing outcomes healthcare. Looking forward, future medicine holds immense potential for reshaping diagnostics, personalized therapies, fertility preservation. The nanotechnology-driven delivery systems anticipated elevate treatment effectiveness, minimize side effects, offer patients therapies efficient. review aims delve various types, properties, preparation techniques nanocarriers specifically designed context disorders, shedding light on current landscape directions this dynamic field.

Язык: Английский

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Integrating machine learning and biosensors in microfluidic devices: A review

Biosensors and Bioelectronics, Год журнала: 2024, Номер 263, С. 116632 - 116632

Опубликована: Авг. 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.

Язык: Английский

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A High-Sensitivity Terahertz Metasurface Biosensor with Graphene-MXene-Black Phosphorus Integration for Early Pregnancy Detection

Plasmonics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 26, 2025

Язык: Английский

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