Next-Generation Phosgene Detection: Convolutional Neural Network with Triphenylamine and N-Salicylaldehyde Probes for Enhanced Sensitivity and Bioimaging DOI
Ramakrishnan AbhijnaKrishna,

V. Adarsh,

Shu‐Pao Wu

et al.

Industrial & Engineering Chemistry Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Phosgene is a highly toxic gas that widely used in various industries, making its rapid detection essential for safety. To address this need, we developed smartphone-based technique using convolutional neural networks (CNNs) real-time, portable phosgene detection. Unlike traditional fluorescence spectroscopy, which requires specialized equipment and expertise, CNN-based approach accessible affordable offers quick analysis, it ideal on-the-spot We employed method to identify toxicity solutions ranging from 0 10 ppm by analyzing images of the solutions. Specifically, intramolecular charge transfer (ICT)-based TPAOD SAHY probes detect through turn-off turn-on fluorescence, with limits 19.44 nM (0.00759 ppm) 34.89 (0.00817 ppm), respectively. A lifetime study confirmed quenching mechanism operates static quenching. The probe was utilized CNN model also tested cell imaging studies HeLa cells.

Language: Английский

A novel peptide-based fluorometric and colorimetric probe for cascade detection of copper(II) and glyphosate: Applications in real sample, cells imaging, test strips and smartphone-assisted recognition DOI
Peng Wang,

Maoyue Zheng,

Miao Zhou

et al.

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 141405 - 141405

Published: Jan. 1, 2025

Language: Английский

Citations

1
Highly selective peptide-based fluorescent probe with aggregation induced emission (AIE) for detection of chondroitin sulfate and its application in living cells and zebrafish imaging DOI

Xinlin Cao,

Shiyang Li,

Chunmei Pu

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 336, P. 126034 - 126034

Published: March 11, 2025

Language: Английский

Citations

1
Annular micro-nano optic fiber sensor based on α-Fe2O3@SiO2@CS imprinting for Cu(II) ion detection DOI
Yue Feng,

Weixiang Yuan,

Wenbo Hao

et al.

Optical Fiber Technology, Journal Year: 2025, Volume and Issue: 91, P. 104174 - 104174

Published: Feb. 21, 2025

Language: Английский

Citations

0
Fluorometric Innovations for Ultrasensitive Trace Element Analysis in Environmental Matrices DOI

Y. Pragathi,

Prashant Kamat,

Suvarna Yendurı

et al.

Luminescence, Journal Year: 2025, Volume and Issue: 40(2)

Published: Feb. 1, 2025

Trace elements in environmental matrices and their potential harm to humans the ecosystem are causing growing concern. For monitoring assessment, trace element analysis water, soil, air must be precise. Due its selectivity sensitivity, fluorometric has grown popularity. This review covers latest approaches for measurement samples. discusses sensitive selective probes. A significant increase fluorescence intensity makes this probe better research. Various parameters like pH, temperature, reaction time were carefully optimized each approach sensitivity accuracy. The current study sheds light on analytical approach's concepts, applications, difficulties. In general, is important studies. researchers, it allows them use technology with other methods focus real-time solve challenges.

Language: Английский

Citations

0
A Violet to Greenish Fluorogenic Ratiometric Probe for Selective and Sensitive Detection of Phosphate (PO43−) Ion DOI
S. Pradhan,

Jyoti Chourasia,

Akash Deep Jaiswal

et al.

Luminescence, Journal Year: 2025, Volume and Issue: 40(4)

Published: April 1, 2025

ABSTRACT Phosphate (PO 4 3− ) ions play pivotal parts in the biological system as it provides key nutrients indispensable for sustaining life and also has vast applications industrial fields. However, surplus amount of PO ion can be very hazardous cause serious health issues various aspects life, which makes targeted precise identification essential. In this study, we have chosen an amino‐imidazole‐based probe, 2‐(2‐aminophenyl)‐1H‐benzimidazole ( IMIDA ), undergoes distinct photophysical change, resulting a significant violet to greenish fluorescence enhancement presence ion. The probe exhibits excellent sensitivity, selectivity, prompt response towards having detection quantification limit nM range, commendable its monitoring. A handy paper strip smartphone‐based strategy are executed on‐spot applicability is further illustrated by environmental conditions using different water samples. Thus, present study robust, simple, efficient scaffold ion, extending opportunities advancement monitoring, quality control, biomedical diagnostics.

Language: Английский

Citations

0
A smartphone − integrated portable platform for the fluorescence detection of urea and uric acid based on iron nanoclusters DOI
Jingyi Liu,

Labadze Ma,

Ronghua Fan

et al.

Spectroscopy Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: May 5, 2025

Language: Английский

Citations

0
Coumarin-based fluorescent probes for the detection of copper (II) and imaging in mice of Wilson’s disease DOI
Chunpo Ge,

Feng Pei,

Xiaoyu Wang

et al.

Bioorganic Chemistry, Journal Year: 2024, Volume and Issue: 154, P. 108051 - 108051

Published: Dec. 11, 2024

Language: Английский

Citations

1
Next-Generation Phosgene Detection: Convolutional Neural Network with Triphenylamine and N-Salicylaldehyde Probes for Enhanced Sensitivity and Bioimaging DOI
Ramakrishnan AbhijnaKrishna,

V. Adarsh,

Shu‐Pao Wu

et al.

Industrial & Engineering Chemistry Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Phosgene is a highly toxic gas that widely used in various industries, making its rapid detection essential for safety. To address this need, we developed smartphone-based technique using convolutional neural networks (CNNs) real-time, portable phosgene detection. Unlike traditional fluorescence spectroscopy, which requires specialized equipment and expertise, CNN-based approach accessible affordable offers quick analysis, it ideal on-the-spot We employed method to identify toxicity solutions ranging from 0 10 ppm by analyzing images of the solutions. Specifically, intramolecular charge transfer (ICT)-based TPAOD SAHY probes detect through turn-off turn-on fluorescence, with limits 19.44 nM (0.00759 ppm) 34.89 (0.00817 ppm), respectively. A lifetime study confirmed quenching mechanism operates static quenching. The probe was utilized CNN model also tested cell imaging studies HeLa cells.

Language: Английский

Citations

0