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Updated: Dec 18, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
Published on: April 3, 2014
Rapid evaluation of ammonium in different rain events minimizing needed volume by a cost-effective and sustainable
María Carmen Prieto-Blanco1, Ana Ballester-Caudet2, Francisco Javier Souto-Varela1
1Universidade da Coruña, Grupo QANAP, Instituto Universitario de Medio Ambiente (IUMA), Centro de Investigacións Científicas Avanzadas (CICA), Departamento de Química, Facultade de Ciencias, Zapateira, 15071, A Coruña, Spain.
Abstract:
The presence of ammonium ion in rainwater is due to atmospheric processes which involve its scavenging from gas phase and particulate matter. The fractionated samplings of rainwater can provide information about these processes and their potential sources. However, only a low sample volume may be available, which constrained the analysis in general and more particularly in situ mode. For minimizing this limitation, this work proposes a polydimethylsiloxane (PDMS)-salicylate sensor that produces a color change. The embedding of solid reagents into PDMS was optimized. Good analytical characteristics (analysis time of 10 min, sample volume of 500 μL, limit of detection 0.03 μgmL-1) were obtained. Furthermore, other features of the method such as carbon footprint, equipment cost, residues, toxicity and safety have to be taken into account to be assessed according to the Green Analytical Chemistry approach. In this sense, the hexagon tool was employed for comparing the proposed sensor with methods based on the same reaction as well as with general methods for the ammonium analysis in water (using luminol, ion selective electrode, Nessler and modified Roth method). The proposed method based on PDMS-salicylate sensor stands out from all the others by its sustainability, particularly, in terms of low carbon footprint, residues and cost. The method was applied to fractionated samplings in a suburban site (Galicia, Northwestern Spain) and a higher contribution of the rainout process was observed. When long-duration rain events were analyzed, a relationship between the sampling time and ammonium concentration could indicate a loss of ammonium ion over time. The research focuses on developing an innovative PDMS-sensor, for monitoring ammonium determination in rainwater under wide conditions (scavenging process).
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