2023
DOI: 10.3390/inorganics11040158
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of Sensor Ability Based on Chemical Formula: Possible Approaches and Pitfalls

Abstract: This review presents an analysis of different algorithms for predicting the sensory ability of organic compounds towards metal ions based on their chemical formula. A database of chemosensors containing information on various classes of suitable compounds, including dipyrromethenes, BODIPY, Schiff bases, hydrazones, fluorescein, rhodamine, phenanthroline, coumarin, naphthalimide derivatives, and others (a total of 965 molecules) has been compiled. Additionally, a freely available software has been developed fo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 262 publications
0
2
0
Order By: Relevance
“…It can help researchers not only to find suitable sensors but also to develop new ones. This has greatly contributed to the progress of research in fluorescent probes [22].…”
Section: Introductionmentioning
confidence: 93%
“…It can help researchers not only to find suitable sensors but also to develop new ones. This has greatly contributed to the progress of research in fluorescent probes [22].…”
Section: Introductionmentioning
confidence: 93%
“…As for Hg 2+ chemosensors, 7-hydroxy-4-methylcoumarin-8-carbaldehyde [ 27 ], (pyridin-2-ylmethoxy)-naphthalene-1-carbaldehyde [ 28 ], and thiophene-2-aldehyde [ 29 ] were used as receptors. Based on the results of predicting the sensing ability of organic compounds towards metal ions based on their chemical formulae, hydrazone derived from fluorescein and 4-methylthiazole-5-carbaldehyde was found to be a potential chemosensor for Hg 2+ ions [ 41 ] ( Figure S1 ). The aim of this study is to broaden the choice of available chemosensors based on fluorescein molecules.…”
Section: Introductionmentioning
confidence: 99%
“…These assumptions are not suitable for accurately predicting real-time power generation in a SOFC stack. In contrast, constructing datadriven prediction models has the advantage of not requiring detailed knowledge of physical and chemical mechanism equations, thus avoiding the use of modeling software programs with high requirements for computer memory and graphics cards [12]. These models can be built using friendly tools such as MATLAB or Python, and the data-driven methods employed use black-box models, simplifying the technical difficulty.…”
Section: Introductionmentioning
confidence: 99%