Nanosized Porphyrinic Metal–Organic Frameworks for the Construction of Transparent Membranes as a Multiresponsive Optical Gas Sensor

The well-known and excellent colorimetric sensing capacity of porphyrins, along with the exceptional structural properties of metal-organic frameworks (MOFs), make porphyrin-based MOFs, such as PCN-222, ideal candidates for the construction of a chemical sensor based on absorbance. However, to the best of authors' knowledge, no high-quality porphyrin-based MOF gas sensors have been developed to date, most likely due to the difficulties in: 1) preparing nanosized porphyrin-MOFs to minimize scattering in absorbance measurements; and 2) incorporating MOFs into transparent membranes for practical use. Herein, a simple and fast microwave-assisted method for preparing high-quality nanosized PCN-222 crystals and their metalated derivatives PCN-222(M) is reported to finely tune the sensing response. Next, the successful dispersion of these PCN-222(M) nanoparticles into poly(dimethylsiloxane) to create flexible and transparent membranes is demonstrated. This integration yields a multiresponsive optical gas sensor exhibiting excellent sensitivity and the ability to discriminate between various volatile organic compounds via pattern recognition identification.

Authors

Institutions

Publication Details

Journal
Small Science
Published
2024-08-19
DOI
https://doi.org/10.1002/smsc.202400210
Citations
9
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanosized Porphyrinic Metal–Organic Frameworks for the Construction of Transparent Membranes as a Multiresponsive Optical Gas Sensor

David Rodríguez‐Lucena, Francisco G. Moscoso, Carolina Carrillo‐Carrión, José M. Pedrosa et al.
9 citations
Small Science
Metal-Organic Frameworks: Synthesis and Applications
1.43
article

Nanosized Porphyrinic Metal–Organic Frameworks for the Construction of Transparent Membranes as a Multiresponsive Optical Gas Sensor

David Rodríguez‐Lucena, Francisco G. Moscoso, Carolina Carrillo‐Carrión, José M. Pedrosa, Juan J. Romero‐Guerrero
article en
9 citations

Abstract

The well-known and excellent colorimetric sensing capacity of porphyrins, along with the exceptional structural properties of metal-organic frameworks (MOFs), make porphyrin-based MOFs, such as PCN-222, ideal candidates for the construction of a chemical sensor based on absorbance. However, to the best of authors' knowledge, no high-quality porphyrin-based MOF gas sensors have been developed to date, most likely due to the difficulties in: 1) preparing nanosized porphyrin-MOFs to minimize scattering in absorbance measurements; and 2) incorporating MOFs into transparent membranes for practical use. Herein, a simple and fast microwave-assisted method for preparing high-quality nanosized PCN-222 crystals and their metalated derivatives PCN-222(M) is reported to finely tune the sensing response. Next, the successful dispersion of these PCN-222(M) nanoparticles into poly(dimethylsiloxane) to create flexible and transparent membranes is demonstrated. This integration yields a multiresponsive optical gas sensor exhibiting excellent sensitivity and the ability to discriminate between various volatile organic compounds via pattern recognition identification.

Small ScienceVol. 4(10)
Instituto de Investigaciones Químicas (ES), Universidad de Sevilla (ES), Universidad Pablo de Olavide (ES)
Consejo Superior de Investigaciones Científicas, European Regional Development Fund, Agencia Estatal de Investigación
Reduced inequalities
Openalex Percentile: Top 20%
Metal-Organic Frameworks: Synthesis and Applications
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.