Highly specific detection of ROR1 cancer biomarker with bipolar electrochemiluminescence DOI

Seyed Mohammad Reza Mortazavi,

Morteza Hosseini,

Guobao Xu

et al.

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(12)

Published: Nov. 8, 2024

Language: Английский

Advancements in nanomaterials for nanosensors: a comprehensive review DOI Creative Commons
Moustafa A. Darwish, Walaa Abd‐Elaziem, Ammar H. Elsheikh

et al.

Nanoscale Advances, Journal Year: 2024, Volume and Issue: 6(16), P. 4015 - 4046

Published: Jan. 1, 2024

Nanomaterials (NMs) exhibit unique properties that render them highly suitable for developing sensitive and selective nanosensors across various domains.

Language: Английский

Citations

49

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review DOI Open Access
Mutha Nandipati, Olukayode Fatoki, Salil Desai

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(7), P. 1621 - 1621

Published: April 2, 2024

Nanomanufacturing and digital manufacturing (DM) are defining the forefront of fourth industrial revolution—Industry 4.0—as enabling technologies for processing materials spanning several length scales. This review delineates evolution nanomaterials nanomanufacturing in age applications medicine, robotics, sensory technology, semiconductors, consumer electronics. The incorporation artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize processes, aid high-fidelity nanoscale characterization is discussed. paper elaborates on different machine-learning deep-learning algorithms analyzing images, designing nanomaterials, nano quality assurance. challenges associated with application machine- models achieve robust accurate predictions outlined. prospects incorporating sophisticated AI such as reinforced learning, explainable (XAI), big data analytics material process innovation, nanosystem integration

Language: Английский

Citations

19

Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics DOI Creative Commons
Andrea Caratti, Simone Squara, Carlo Bicchi

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 174, P. 117669 - 117669

Published: March 29, 2024

The unceasing evolution of analytical instrumentation determines an exponential increase data production, which in turn boosts new cutting-edge challenges, requiring a progressive integration artificial intelligence (AI) algorithms into the instrumental treatment software. Machine learning, deep and computer vision are most common techniques adopted to exploit information potential advanced chemistry measures. In this paper, our primary focus is on elucidating remarkable advantages leveraging AI tools for comprehensive two-dimensional gas chromatography (pre)processing. We illustrate how can efficiently explore complex datasets derived from multidimensional platforms combining separations with mass spectrometry challenging application area food-omics. Pattern recognition based image processing, vision, smelling discussed by introducing principles operation, reviewing available software solutions, illustrating their potentials limitations through selected applications.

Language: Английский

Citations

16

Photonic Nanomaterials for Wearable Health Solutions DOI Creative Commons
Taewoong Park, Jung Woo Leem, Young L. Kim

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Abstract This review underscores the transformative potential of photonic nanomaterials in wearable health technologies, driven by increasing demands for personalized monitoring. Their unique optical and physical properties enable rapid, precise, sensitive real‐time monitoring, outperforming conventional electrical‐based sensors. Integrated into ultra‐thin, flexible, stretchable formats, these materials enhance compatibility with human body, enabling prolonged wear, improved efficiency, reduced power consumption. A comprehensive exploration is provided integration devices, addressing material selection, light‐matter interaction principles, device assembly strategies. The highlights critical elements such as form factors, sensing modalities, data communication, representative examples skin patches contact lenses. These devices precise monitoring management biomarkers diseases or biological responses. Furthermore, advancements approaches have paved way continuum care systems combining multifunctional sensors therapeutic drug delivery mechanisms. To overcome existing barriers, this outlines strategies design, engineering, system integration, machine learning to inspire innovation accelerate adoption next‐generation health, showcasing their versatility digital applications.

Language: Английский

Citations

2

Boosting Electrochemiluminescence Immunoassay Sensitivity via Co–Pt Nanoparticles within a Ti3C2 MXene-Modified Single Electrode Electrochemical System on Raspberry Pi DOI
Ali Firoozbakhtian, Morteza Hosseini, Yiran Guan

et al.

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(40), P. 15110 - 15117

Published: Sept. 26, 2023

Point-of-care testing plays a crucial role in diagnostics within resource-poor areas, necessitating the utilization of portable and user-friendly devices. The adaptation biosensors for point-of-care applications requires careful considerations, such as miniaturization, cost-effectiveness, streamlined sample processing. In recent years, electrochemiluminescence (ECL) immunoassay has gained significant attention due to its visual detection capabilities ability facilitate high-throughput analysis. However, development practical cost-effective ECL device remains challenging task. This study presents an integrated MXene-modified single-electrode electrochemical system (SEES) immunoassays incorporating Raspberry Pi system. SEES was designed by affixing plastic sticker with multiple perforations onto single carbon ink screen-printed electrode, which operates based on resistance-induced potential difference. Leveraging excellent adsorption bioaffinity properties effective immobilization antibodies achieved. Furthermore, incorporation Co-Pt nanoparticles enhanced intensity electron transfer kinetics, enabling sensitive SARS-CoV-2. developed comprised 18 individual reaction cells, allowing simultaneous analysis while maintaining isolation. Impressively, achieved remarkable minimum virus limit 10-14 g mL-1, accompanied high R2 value 0.9798. These findings highlight promising our efficient resource-limited settings.

Language: Английский

Citations

26

Machine learning-assisted liquid crystal-based aptasensor for the specific detection of whole-cell Escherichia coli in water and food DOI

Saba Mostajabodavati,

Maryam Mousavizadegan,

Morteza Hosseini

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 448, P. 139113 - 139113

Published: March 26, 2024

Language: Английский

Citations

15

Advances of machine learning-assisted small extracellular vesicles detection strategy DOI
Qí Zhāng, Tingju Ren, Ke Cao

et al.

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 251, P. 116076 - 116076

Published: Feb. 1, 2024

Language: Английский

Citations

13

Machine learning-assisted image-based optical devices for health monitoring and food safety DOI

Maryam Mousavizadegan,

Farzaneh Shalileh,

Saba Mostajabodavati

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 177, P. 117794 - 117794

Published: June 5, 2024

Language: Английский

Citations

11

Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives DOI

Wajeeha Pervaiz,

Muhammad Afzal,

Niu Feng

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104872 - 104872

Published: Jan. 1, 2025

Language: Английский

Citations

1

Recent Advances in Fluorescent Based Chemical Probes for the Detection of Perchlorate Ions DOI
Gilbert K. Kosgei, P. U. Ashvin Iresh Fernando

Critical Reviews in Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: Jan. 9, 2025

This review highlights recent advancements and challenges in fluorescence-based chemical sensors for selective sensitive detection of perchlorate, a persistent environmental pollutant global concern due to its health safety implications. Perchlorate is highly inorganic found drinking water, soil, air, with known endocrine-disruptive properties interference iodide uptake by the thyroid gland. Human exposure mainly occurs through contaminated water food. Additionally, perchlorates are prevalent improvised explosives, causing numerous civilian casualties, making their important worldwide aspect. Fluorescence-based provide valuable tool perchlorate ions simplicity applicability across various fields, including biology, pharmacology, military, science. article overviews chemistry, occurrence, remediation strategies, compares regulatory limits, examines mechanisms. It systematically summarizes designing at least dozen materials detecting environment over past decade. Key focus areas include design molecular architecture synthetic chromophores sensing photochemistry mechanisms driving effectiveness. The main findings indicate that there has been significant progress development reliable robust higher selectivity sensitivity detection. However, several remain, such as improving limits sensor stability. outlines potential future research directions, emphasizing need further innovation development. aims enhance understanding spur advances could create more efficient scaffolds sensing. By addressing current limitations identifying opportunities improvement, provides comprehensive resource researchers working develop better methods this pollutant.

Language: Английский

Citations

1