Integration of microfluidic chips with biosensors

Deleted Journal, Journal Year: 2024, Volume and Issue: 6(9)

Published: Aug. 23, 2024

Abstract The potential threat posed by disease outbreaks to diagnostic instruments demands the development of more effective biosensor technologies counteract risks. Diseases like SARS-CoV-2, Ebola, malaria, cholera, and many have demonstrated beyond limits health care that new advancements are required for early detection diagnosis. rising number diseases has led an increasing demand biosensors quicker utilize in healthcare settings. A incorporated with microfluidic chips offers improved compared traditional or classical biosensors. Microfluidic improve performance allowing automation, mixing, separation, throughput processing, transport analytes desired reactors. a chip sensitivity, easy operation can use small volumes samples process results. effectiveness depends also on materials used its fabrication there which reviewed this work. This paper reviews advantages enhance biosensors, fabricate chips, electrodes into time shortening processing at point service. work not previously addressed other including, integration cell-imprinted polymers sensors delved future outlook.

Language: Английский

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Disassembly, refinement, and reassembly: From ancient papermaking to modern materials processing

Journal of Bioresources and Bioproducts, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

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Trends in Aptasensing and the Enhancement of Diagnostic Efficiency and Accuracy

ACS Synthetic Biology, Journal Year: 2025, Volume and Issue: 14(1), P. 21 - 40

Published: Jan. 6, 2025

The field of healthcare diagnostics is navigating complex challenges driven by evolving patient demographics and the rapid advancement new technologies worldwide. In response to these challenges, biosensors offer distinctive advantages over traditional diagnostic methods, such as cost-effectiveness, enhanced specificity, adaptability, making their integration with point-of-care (POC) platforms more feasible. recent years, aptasensors have significantly evolved in capabilities through emerging microfluidics, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) systems, wearable devices, machine learning (ML), driving progress precision medicine global solutions. Moreover, advancements not only improve accuracy but also hold potential revolutionize early detection, reduce costs, outcomes, especially resource-limited settings. This Account examines key advancements, focusing on how scientific breakthroughs, including artificial intelligence (AI), improved sensitivity precision. Additionally, has enabled real-time monitoring data analysis, fostering advances personalized healthcare. Furthermore, commercialization aptasensor could increase availability clinical settings support use widespread solutions for health challenges. Hence, this review discusses technological improvements, practical uses, prospects while surrounding standardization, validation, interdisciplinary collaboration application. Finally, ongoing efforts address are ensure that can be effectively implemented diverse systems.

Language: Английский

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A Review of Recent Developments in Analytical Methods for Determination of Phosphorus from Environmental Samples

Molecules, Journal Year: 2025, Volume and Issue: 30(5), P. 1001 - 1001

Published: Feb. 21, 2025

Phosphorus is essential to environmental systems because it affects both agricultural productivity and ecological balance. Since contributes eutrophication pollution problems, its existence in a variety of matrices, including soil, water, air, necessitates precise effective determination methods for monitoring managing levels. This review paper provides an extensive overview the latest advancements analytical techniques measuring phosphorus samples. We investigate sophisticated spectroscopic, chromatographic, electrochemical addition conventional approaches like colorimetric analysis. Innovative such as mass spectrometry (MS), X-ray fluorescence (XRF) spectrometry, nuclear magnetic resonance (NMR) spectroscopy are also highlighted this study, along with newly developed technologies biosensors, lab-on-a-chip devices, nanotechnology-based techniques. Real-time field-deployable covered, focus on their advantages usefulness. Among reviewed, XRF colorimetry have proven be most reliable due precision, cost-effectiveness, adaptability different sample matrices. While emerging spectroscopic offer promising alternatives, further validation standardization needed routine monitoring. Future research should integrating automated high-throughput enhance capabilities further.

Language: Английский

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Microfluidic experiments on hydrogen behavior in heterogeneous rocks during underground hydrogen storage in saline aquifers

Fuel, Journal Year: 2025, Volume and Issue: 391, P. 134731 - 134731

Published: Feb. 22, 2025

Language: Английский

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Application and Safety Research of Nanotechnology in Cosmetics: Current Status, Challenges, and Future Prospects

BioNanoScience, Journal Year: 2025, Volume and Issue: 15(2)

Published: March 22, 2025

Language: Английский

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Non-invasive iron deficiency diagnosis: a saliva-based approach using capillary flow microfluidics

Analytical Methods, Journal Year: 2024, Volume and Issue: 16(16), P. 2489 - 2495

Published: Jan. 1, 2024

Capillary flow-driven microfluidic device as a viable non-invasive diagnostic tool for iron deficiency anemia (IDA) using saliva.

Language: Английский

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Advancements in colorimetric and fluorescent-based sensing approaches for point-of-care testing in forensic sample analysis

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111438 - 111438

Published: Aug. 15, 2024

Language: Английский

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Fill, Fold, Photo: Preconcentration and Multiplex Detection of Trace Level Heavy Metals in Water

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(10), P. 5479 - 5488

Published: Sept. 23, 2024

Heavy metal contamination is an increasing global threat to human and environmental health, particularly in resource-limited areas. Traditional platforms for heavy detection are labor intensive expensive require lab facilities. While paper-based colorimetric sensors offer a simpler approach, their sensitivity limitations prevent them from meeting legislative requirements many metals. Existing preconcentration systems, on the other hand, can achieve lower limits but typically focus analyzing only one metal, making comprehensive monitoring difficult. We address these by introducing low-cost system coupled with analysis simultaneous of seven ions at low ppb levels without need external equipment outside smartphone. The achieved 15 (Ni(II)), 7 (Cu(II)), 2 (Fe(III)), 20 (Cr(VI)), 13 (Pb(II)), 26 (Hg(II)), (Mn(II)) six out values falling well below EPA regulatory guidelines drinking water. user-friendly Fill, Fold, Photo approach eliminates complex pretreatment steps. Smartphone-based offers portable quantification within seconds. Employing masking strategies ensured higher selectivity each assay card, while our packaging protocols enable stability over 4 weeks study, facilitating mass production deployment realistic time frame. To validate sensor's performance real-world scenarios, sensor was tested water samples. demonstrated good recovery, ranging 77% 94% compared standard ICP-MS method. Furthermore, spike recovery confirmed accuracy, relative deviation (RSD) less than 15%. This technology holds significant promise future development as convenient, solution field-based broad spectrum contaminants, including pesticides, PFAS, fertilizers, beyond.

Language: Английский

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Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4350 - 4350

Published: July 4, 2024

Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing is detect contaminants the water. Various methods proposed for water quality testing, such as spectroscopy, chromatography, electrochemical techniques. However, traditional testing require utilization laboratory equipment, which large not suitable real-time field. Microfluidic devices can overcome limitations instruments become an efficient convenient tool analysis. At same time, artificial intelligence ideal means recognizing, classifying, predicting data obtained from microfluidic systems. based on machine learning are being developed with great significance next generation monitoring This review begins brief introduction algorithms involved materials used fabrication detection techniques platforms. Then, latest research development combining two pollutant bodies, including heavy metals, pesticides, micro- nanoplastics, microalgae, mainly introduced. Finally, challenges encountered future directions industrial chips discussed.

Language: Английский

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