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Core–shell “loading-type” nanomaterials enabling glucometer readout for portable and sensitive detection of p-aminophenol in real samples
A one-target-many-trigger signal model sensing strategy is proposed for quickly, sensitive and on-site detection of the environmental pollutant p-aminophenol (PAP) by use of a commercial personal glucose meter (PGM) for signal readout with the core–shell “loading-type” nanomaterial MSNs@MnO 2 as amp...
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Published in: | Mikrochimica acta (1966) 2024-03, Vol.191 (3), p.127, Article 127 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | A one-target-many-trigger signal model sensing strategy is proposed for quickly, sensitive and on-site detection of the environmental pollutant p-aminophenol (PAP) by use of a commercial personal glucose meter (PGM) for signal readout with the core–shell “loading-type” nanomaterial MSNs@MnO
2
as amplifiable nanoprobes. In this design, the mesoporous silica nanoparticles (MSNs) nanocontainer with entrapped signal molecule glucose is coated with redoxable manganese dioxide (MnO
2
) nanosheets to form the amplifiable nanoprobes (Glu-MSNs@MnO
2
). When encountered with PAP, the redox reaction between the MnO
2
and PAP can induce the degradation of the outer layer of MSNs@MnO
2
, liberating multiple copies of the loaded glucose to light up the PGM signal. Owing to the high loading capability of nanocarriers, a “one-to-many” relationship exists between the target and the signal molecule glucose, which can generate adequate signal outputs to achieve the requirement of on-site determination of environmental pollutants. Taking advantage of this amplification mode, the developed PAP assay owns a dynamic linear range of 10.0–400 μM with a detection limit of 2.78 μM and provides good practical application performance with above 96.7 ± 4.83% recovery in environmental water and soil samples. Therefore, the PGM-based amplifiable sensor for PAP proposed can accommodate these requirements of environment monitoring and has promising potential for evaluating pollutants in real environmental samples.
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ISSN: | 0026-3672 1436-5073 |
DOI: | 10.1007/s00604-024-06204-8 |