Design and application of an ultrasensitive and selective tobromycin electrochemiluminescence aptasensor using MXene /Ni/Sm-LDH-based nanocomposite DOI

Farnaz Nasri,

Morteza Hosseini, Seyed Mohammad Taghdisi

et al.

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(9)

Published: Aug. 4, 2024

Language: Английский

Empowerment of AI algorithms in biochemical sensors DOI

Zhongzeng Zhou,

Tailin Xu, Xueji Zhang

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 173, P. 117613 - 117613

Published: Feb. 29, 2024

Language: Английский

Citations

23
Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions DOI Creative Commons
Manish Bhaiyya, Debdatta Panigrahi, Prakash Rewatkar

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4495 - 4519

Published: Aug. 15, 2024

Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing rapid, low-cost, and simple diagnostic options. The integration Machine Learning (ML) into biosensors ushered in a new era innovation the field PoCT. This article investigates numerous uses transformational possibilities ML improving for algorithms, which are capable processing interpreting complicated biological data, have transformed accuracy, sensitivity, speed procedures variety healthcare contexts. review explores multifaceted applications models, including classification regression, displaying how they contribute to capabilities biosensors. roles ML-assisted electrochemical sensors, lab-on-a-chip electrochemiluminescence/chemiluminescence colorimetric wearable sensors diagnosis explained detail. Given increasingly important role PoCT, this study serves valuable reference researchers, clinicians, policymakers interested understanding emerging landscape point-of-care diagnostics.

Language: Английский

Citations

21
Integrated solar-powered MEMS-based photoelectrochemical immunoassay for point-of-care testing of cTnI protein DOI
Zhichao Yu,

Qianyun Lin,

Hexiang Gong

et al.

Biosensors and Bioelectronics, Journal Year: 2022, Volume and Issue: 223, P. 115028 - 115028

Published: Dec. 22, 2022

Language: Английский

Citations

44
Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing DOI

Maryam Mousavizadegan,

Ali Firoozbakhtian, Morteza Hosseini

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 167, P. 117216 - 117216

Published: Aug. 3, 2023

Language: Английский

Citations

39
An enzyme-free Ti3C2/Ni/Sm-LDH-based screen-printed-electrode for real-time sweat detection of glucose DOI

Javad Gilnezhad,

Ali Firoozbakhtian, Morteza Hosseini

et al.

Analytica Chimica Acta, Journal Year: 2023, Volume and Issue: 1250, P. 340981 - 340981

Published: Feb. 16, 2023

Language: Английский

Citations

34
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
Portable, intelligent MIECL sensing platform for ciprofloxacin detection using a fast convolutional neural networks-assisted Tb@Lu2O3 nanoemitter DOI
Zhiwei Lu, Yonghui Gong,

Chengao Shen

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 444, P. 138656 - 138656

Published: Feb. 5, 2024

Language: Английский

Citations

15
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
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
A smartphone-assisted electrochemiluminescent detection of miRNA-21 in situ using Ru(bpy)32+@MOF DOI
Kai Zheng,

Jiangfei Pan,

Zipei Yu

et al.

Talanta, Journal Year: 2023, Volume and Issue: 268, P. 125310 - 125310

Published: Oct. 17, 2023

Language: Английский

Citations

19