Minimally invasive detection of buprenorphine using a carbon-coated 3D-printed microneedle array DOI
Sachin Kadian, Siba Sundar Sahoo,

Pratima Kumari

et al.

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(11)

Published: Oct. 15, 2024

Language: Английский

Next-Generation Nanomaterials-based Biosensors: Real-Time Biosensing Devices for Detecting Emerging Environmental Pollutants DOI Creative Commons

Mansi Sharma,

Priyanka Mahajan, Abdullah Saad Alsubaie

et al.

Materials Today Sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 101068 - 101068

Published: Dec. 1, 2024

Language: Английский

Citations

8
Review—Machine Learning-Driven Advances in Electrochemical Sensing: A Horizon Scan DOI Creative Commons

K. Bala Murugan,

K. Gopalakrishnan,

Sakthivel Kogularasu

et al.

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(9), P. 097503 - 097503

Published: Aug. 5, 2024

The burgeoning intersection of machine learning (ML) with electrochemical sensing heralds a transformative era in analytical science, pushing the boundaries what’s possible detecting and quantifying chemical substances unprecedented precision efficiency. This convergence has accelerated number discoveries, improving sensors’ sensitivity, selectivity, ability to comprehend complicated data streams real-time. Such advancements are crucial across various applications, from monitoring health biomarkers environmental pollutants ensuring industrial safety. Yet, this integration is not without its challenges; it necessitates navigating intricate ethical considerations around use, robust privacy measures, developing specialized software tools that balance accessibility security. As field progresses, addressing these challenges head-on essential for harnessing full potential ML-enhanced sensing. review briefly explores dimensions, spotlighting significant technological strides, landscape, dynamic interplay between open-source proprietary solutions while also casting forward gaze at promising future directions interdisciplinary venture.

Language: Английский

Citations

6
Machine learning enabled onsite electrochemical detection of lidocaine using a microneedle array integrated screen printed electrode DOI Creative Commons
Sachin Kadian, Siba Sundar Sahoo, Pratima Kumari

et al.

Electrochimica Acta, Journal Year: 2023, Volume and Issue: 475, P. 143664 - 143664

Published: Dec. 13, 2023

Language: Английский

Citations

12
Challenges and opportunities in commercializing whole-cell bioreporters in environmental application DOI
Zefeng Huang, Williamson Gustave,

Shanshan Bai

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119801 - 119801

Published: Aug. 13, 2024

Language: Английский

Citations

4
An intriguing future is approaching: Artificial intelligence meets molecularly imprinted polymers DOI Creative Commons
Tunca Karasu,

Fatih Çalışır,

Sena Pişkin

et al.

Journal of Pharmaceutical and Biomedical Analysis Open, Journal Year: 2024, Volume and Issue: 4, P. 100041 - 100041

Published: Sept. 6, 2024

Language: Английский

Citations

4
Recent Advances in Hydrogel‐Based Soft Bioelectronics and its Convergence with Machine Learning DOI

Eun Seo Lee,

Min Young Lee, Dae‐Hyeong Kim

et al.

Advanced Engineering Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 8, 2024

Recent advancements in artificial intelligence (AI) technologies, particularly machine learning (ML) techniques, have opened up a promising frontier the development of intelligent soft bioelectronics, demonstrating unparalleled performance interfacing with human body. Hydrogels, owing to their unique combination biocompatibility, tunable mechanical properties, and high water content, emerged as versatile platform for constructing bioelectronic devices. Functionalized hydrogels, such conductive can efficiently capture biosignals from various target tissues while seamlessly forming conformal reliable interfaces. They also function an intermediary layer between biological bioelectronics diagnosis therapy purposes. Meanwhile, ML has demonstrated its efficacy processing extensive datasets collected bioelectronics. The convergence hydrogel‐based unlocked myriad possibilities unprecedented diagnostics, therapeutics, beyond. In this review, latest advances are introduced. After briefly describing materials device strategies high‐performance hydrogel how be integrated augment functionalities is discussed. examples ML‐integrated then Finally, review concluded by introducing future potential applications AI alongside inherent challenges interdisciplinary domain.

Language: Английский

Citations

4
Automated Microfluidic Platform for High‐Throughput Biosensor Development DOI Creative Commons
Shitanshu Devrani, Daniel Tietze, Alesia A. Tietze

et al.

Advanced Sensor Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Abstract Biorecognition elements immobilized into nanopores have transformed point‐of‐care (POC) diagnostics by converting molecular interactions electrical and fluorescent signals.This study introduces Bio‐Sensei, a high‐throughput screening (HTS) microfluidic platform based on nanopore biosensing. Integrating robotic sampler, electrochemical, fluorescence setup, Bio‐Sensei operates as an Internet of Things (IoT) with integrated data analysis. The platform's utility is demonstrated functionalized amino terminal Cu(II)‐ Ni(II)‐binding (ATCUN) peptide ion track‐etched membrane. Automated testing atchieves significantly higher F‐stat value than the critical treshold, while unsupervised clustering reveals optimalnanopores pore size. biosensordemonstrates remarkable stability, selectivity, sensitivity detection limits 10 −6 using −15 Musing cyclic voltammetry measurements. Combining these methods enhances machine learning models for Cu 2+ concentration prediction, achieving receiver operating characteristic area under curve values exceeding 95%.

Language: Английский

Citations

0
Carbon dots: Review of recent applications and perspectives in bio-sensing and biomarker detection DOI Creative Commons

Xeniya Terzapulo,

Aiym Kassenova,

Alissa Loskutova

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100771 - 100771

Published: Feb. 1, 2025

Language: Английский

Citations

0
Trends and Advances in Wearable Plasmonic Sensors Utilizing Surface-Enhanced Raman Spectroscopy (SERS): A Comprehensive Review DOI Creative Commons
Svetlana N. Khonina, Nikolay L. Kazanskiy

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1367 - 1367

Published: Feb. 23, 2025

Wearable sensors have appeared as a promising solution for real-time, non-invasive monitoring in diverse fields, including healthcare, environmental sensing, and wearable electronics. Surface-enhanced Raman spectroscopy (SERS)-based leverage the unique properties of SERS, such plasmonic signal enhancement, high molecular specificity, potential single-molecule detection, to detect identify wide range analytes with ultra-high sensitivity selectivity. However, it is important note that utilize various sensing mechanisms, not all rely on SERS technology, their design depends specific application. This comprehensive review highlights recent trends advancements technologies, focusing design, fabrication, integration into practical devices. Key innovations material selection, use nanomaterials flexible substrates, significantly enhanced sensor performance wearability. Moreover, we discuss challenges miniaturization, power consumption, long-term stability, along solutions address these issues. Finally, outlook technologies presented, emphasizing need interdisciplinary research drive next generation smart wearables capable real-time health diagnostics, monitoring, beyond.

Language: Английский

Citations

0
Synergizing ML and Fluorescent Biomolecules: A New Era in Sensing Platforms DOI
Neetu Saini,

N.A. Kriti,

Ankita Thakur

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2025, Volume and Issue: 187, P. 118196 - 118196

Published: Feb. 27, 2025

Language: Английский

Citations

0