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Atomic Spectroscopy

Determination of Arsenic in Soil by Ultrasonic Assisted Slurry Sampling Hydride Generation (HG) in-Situ Dielectric Barrier Discharge Trap (DBD)-Optical Emission Spectrometry (OES)

, , , , ORCID Icon &
Pages 1349-1363 | Received 14 Sep 2021, Accepted 05 Nov 2021, Published online: 09 Dec 2021
 

Abstract

An ultrasonic assisted slurry sampling procedure was coupled with hydride generation in-situ dielectric barrier discharge trap optical emission spectrometry (HG-in situ DBD trap-OES) to provide the simple and fast determination of arsenic in soil. The soil was treated HNO3 and HF in an ultrasonic bath for 25 min, subsequently diluted with 6% HCl (v/v) and 40 g L−1 thiourea, and placed into the ultrasonic bath again for 10 min to obtain a stable and homogeneous slurry that was introduced to HG-in-situ DBD trap-OES for As determination. Under the optimal conditions, the calibration coefficient exceeded 0.995 from 2 μg L−1 to 200 μg L−1. A method detection limit of 0.18 mg kg−1 was achieved for As in soil (250 times dilution) with a 3.4% relative standard deviation. The developed method was validated by the determination of As in three soil certified reference materials including GBW07430 (As, 18 ± 2 mg kg−1), GBW07447 (As, 10.7 ± 0.5 mg kg−1), and GBW07449 (As, 8.7 ± 0.6 mg kg−1), as well as two real soil samples. The results agreed well with the certified values and the measurements by inductively coupled plasma – mass spectrometry. With advantages of simple pretreatment procedures, small size/weight, low power consumption, and low manufacturing cost, the developed method has the potential to be widely applied in soil analysis.

Disclosure statement

The authors declare no competing financial interests.

Additional information

Funding

This work was financially supported by the National Natural Science Fund of China (32072307), the Agricultural Science and Technology Innovation Program of CAAS (CAAS-ZDRW202011), the Central Public-interest Scientific Institution Basal Research Fund (1610072021010), and the National Key Research and Development Program of China (2016YFF0103303).

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