TY - JOUR
T1 - Towards In-Situ Environmental Monitoring
T2 - On-Chip Sample Preparation and Detection of Lead in Sediment Samples Using Graphene Oxide Sensor
AU - Gholizadeh, Azam
AU - Sardar, Sakshi
AU - Francisco, Kelly
AU - Maher, Ali
AU - Miskewitz, Robert
AU - Javanmard, Mehdi
N1 - Funding Information:
Manuscript received April 16, 2020; revised June 5, 2020 and June 23, 2020; accepted June 24, 2020. Date of publication July 6, 2020; date of current version October 16, 2020. This work was supported in part by the U.S. Department of Transportation UTC Program through the Center for Advanced Infrastructure and Transportation. The associate editor coordinating the review of this article and approving it for publication was Prof. Tarikul Islam. (Corresponding author: Mehdi Javanmard.) Azam Gholizadeh was with Rutgers University, Piscataway, NJ 08854 USA. She is now with the Virginia Polytechnic Institute, State University, Blacksburg, VA 24061 USA (e-mail: azag@vt.edu).
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2020/11/15
Y1 - 2020/11/15
N2 - 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.
AB - 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.
KW - 3D-porous matrix
KW - graphene oxide thin film
KW - in-situ pretreatment
KW - lead sensor
KW - sediment
KW - square wave anodic stripping voltammetry
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U2 - 10.1109/JSEN.2020.3006021
DO - 10.1109/JSEN.2020.3006021
M3 - Article
AN - SCOPUS:85094144254
SN - 1530-437X
VL - 20
SP - 13787
EP - 13795
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 22
M1 - 9133459
ER -