In situ and on-line monitoring of cadmium in soil pore water using an automatic sampling integrated electrochemical sensor
Source abstract
Abstract
Cadmium (Cd) contamination in soil pore water is the primary pathway for Cd uptake by food crops, such as rice (Oryza sativaL.), posing significant risks to both food safety and human health. This study presents a novel soil pore water metal sensor (SPW-Msensor) forin situand online monitoring of Cd in soil pore water (Cdpw). The SPW-Msensor integrates an automated sampling device, comprising a Rhizon sampler and a reciprocating series pump with an independent dual plunger drive, along with a portable electrochemical sensor consisting of a screen-printed electrode, flow cell, and portable potentiostat. The SPW-Msensor enables the detection of Cd within a linear range of 50 to 300 ppb while exhibiting high anti-interference capability. Moreover, it demonstrates excellent repeatability (relative standard deviation values (RSDs) <3.6%) across 30 measurements conducted within a 2-h period. The method exhibits good agreement with results obtained using the standard ICP-MS method (RSDs < 5%). Additionally, this study establishes a positive correlation between Cdpwdetected by the SPW-Msensor and total Cd concentration (Cdtotal) in the soil with anR2value equal to 0.89. Data acquired from the SPW-Msensor can be utilized for predicting Cdtotalthrough partial least squares regression modeling, achieving model quality score (Q2) of 0.69, adjustedR2of 0.9345, and root mean square error (RMSE) of 0.1912. The SPW-Msensor demonstrates real-time monitoring capabilities for assessing Cd levels in acidified soils. This SPW-Msensor offers an efficient approach forin-situand continuous monitoring of Cdpwthat provides valuable insights applicable to environmental and agricultural domains.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Electrochemical Analysis and Applications · Water Quality Monitoring and Analysis · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (57)
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