RT Journal Article
T1 Waterproof cellulose-based substrates for in-drop plasmonic colorimetric sensing of volatiles: application to acid-labile sulfide determination in waters
A1 Villarino García, Nerea
A1 Pena Pereira, Francisco Javier
A1 Lavilla Beltran, Maria Isela
A1 Bendicho Hernandez, Jose Carlos
K1 2301 Química Analítica
AB The present work reports on the assessment of widely available waterproof cellulose-based substrates for the development of sensitive in-drop plasmonic sensing approaches. The applicability of three inexpensive substrates, namely, Whatman 1PS, polyethylene-coated filter paper, and tracing paper, as holders for microvolumes of colloidal solutions was evaluated. Waterproof cellulose-based substrates demonstrated to be highly convenient platforms for analytical purposes, as they enabled in situ generation of volatiles and syringeless drop exposure unlike conventional single-drop microextraction approaches and can behave as sample compartments for smartphone-based colorimetric sensing in an integrated way. Remarkably, large drop volumes (≥20 μL) of colloidal solutions can be employed for enrichment processes when using Whatman 1PS as holder. In addition, the stability and potential applicability of spherical, rod-shaped, and core–shell metallic NPs onto waterproof cellulose-based substrates was evaluated. In particular, Au@AgNPs showed potential for the colorimetric detection of in situ generated H2S, I2, and Br2, whereas AuNRs hold promise for I2, Br2, and Hg0 colorimetric sensing. As a proof of concept, a smartphone-based colorimetric assay for determination of acid-labile sulfide in environmental water samples was developed with the proposed approach taking advantage of the ability of Au@AgNPs for H2S sensing. The assay showed a limit of detection of 0.46 μM and a repeatability of 4.4% (N = 8), yielding satisfactory recoveries (91–107%) when applied to the analysis of environmental waters.
PB ACS Sensors
SN 23793694
YR 2022
FD 2022-03-25
LK http://hdl.handle.net/11093/3304
UL http://hdl.handle.net/11093/3304
LA eng
NO ACS Sensors, 7(3): 839-848 (2022)
NO Financiado para publicación en acceso aberto: Universidade de Vigo/CISUG
NO Xunta de Galicia | Ref. ED431I 2020/04
DS Investigo
RD 04-oct-2023