Towards In-Situ Environmental Monitoring: On-Chip Sample Preparation and Detection of Lead in Sediment Samples Using Graphene Oxide Sensor
Autor: | Sakshi Sardar, Ali Maher, Robert Miskewitz, Mehdi Javanmard, Kelly Francisco, Azam Gholizadeh |
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Rok vydání: | 2020 |
Předmět: |
Detection limit
Graphene 010401 analytical chemistry Sediment Nanotechnology 01 natural sciences 0104 chemical sciences Working range Electrochemical gas sensor law.invention Matrix (chemical analysis) law Environmental monitoring Environmental science Sample preparation Electrical and Electronic Engineering Instrumentation |
Zdroj: | IEEE Sensors Journal. 20:13787-13795 |
ISSN: | 2379-9153 1530-437X |
DOI: | 10.1109/jsen.2020.3006021 |
Popis: | This manuscript reports, a novel, integrated on-chip sample-to-answer platform capable of detecting lead ions (Pb+2) directly in sediment samples. As sediment is one of the main sources of hazardous heavy metals in aquatic ecosystems, rapid and real-time detection of heavy metals in sediment is crucial in the field of environmental monitoring. Electrochemical sensors can provide rapid detection capability, but in-situ measurement of heavy metals with such sensors has been limited by complicated pretreatment steps. To overcome this drawback, an integrated system was developed consisting of a porous matrix for purification and extraction of Pb+2 onto a graphene oxide thin film that serves as an active sensing material. The integrated sensor with a 3D porous matrix was used as an in-situ platform to detect lead directly in complex sediment samples. The proposed electrochemical sensor has a detection limit of 4 ppb and a linear working range. The ability to directly detect lead in sediment samples with minimal pretreatment agents and time makes this system a promising solution for on-site monitoring of heavy metals in environmental samples. Although the current study focused on lead for platform validation, the proposed sensing platform can be further developed for the detection of a wide panel of toxic metals. |
Databáze: | OpenAIRE |
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