Issue 6, 2020

A compact multi-parameter detection system based on hydrodynamic sequential injection for sensitive determination of phosphate, nitrite, and nitrate in water samples

Abstract

A miniaturized microfluidic hydrodynamic sequential injection system for multi-parameter analysis with a sensitive colorimetric detection was developed to improve the analytical performance for the measurement of phosphate, nitrite, and nitrate based on molybdenum blue and Griess methods. A homemade colorimetric detection with a light emitting diode as a light source and phototransistor light sensor was integrated into the microfluidic platform to achieve a low cost compact system with low reagent consumption and high sensitivity. Under the optimized working conditions, a linear calibration graph of phosphate (two working range), nitrite and nitrate (as nitrogen, N) in the range of 0.01–0.1 and 0.3–1.0 mg of PO43− P L−1, 0.005–0.05 mg of NO2 N L−1 and 0.01–0.12 mg of NO3 N L−1, respectively were achieved with a sample-throughput of 10 h−1. The limit of detections were 0.005 mg of PO43− P L−1, 0.0026 mg of NO2 N L−1 and 0.005 mg of NO3 N L−1. The percentage of recovery for phosphate, nitrite, and nitrate were 90.3–115.0, 90.0–117.0 and 91.3–117.0, respectively, with relative standard deviations in the range of 1.07–4.90%. Capabilities of the developed device for consecutive analysis of multiple analytes were demonstrated to be an excellent choice for water quality monitoring.

Graphical abstract: A compact multi-parameter detection system based on hydrodynamic sequential injection for sensitive determination of phosphate, nitrite, and nitrate in water samples

Article information

Article type
Paper
Submitted
28 Oct 2019
Accepted
22 Jan 2020
First published
22 Jan 2020

Anal. Methods, 2020,12, 855-864

A compact multi-parameter detection system based on hydrodynamic sequential injection for sensitive determination of phosphate, nitrite, and nitrate in water samples

W. Khongpet, P. Yanu, S. Pencharee, C. Puangpila, S. Kradtap Hartwell, S. Lapanantnoppakhun, Y. Yodthongdee, A. Paukpol and J. Jakmunee, Anal. Methods, 2020, 12, 855 DOI: 10.1039/C9AY02327E

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