4.7 Article

Direct-determination of high-concentration sulfate by serial differential spectrophotometry with multiple optical pathlengths

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 811, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.152121

Keywords

High concentration sulfate; Adaptation method; Sensitivity; Spectrophotometry; Environmental monitoring

Funding

  1. Major Science and Technology Pro-gram for Water Pollution Control and Treatment of China [2017ZX07402004]

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This study proposes a new method for the direct determination of high-concentration SO4-, with a wider determination range and adjustable sensitivity compared to conventional methods, achieved by using differential spectrophotometry with different optical pathlengths.
Direct-determination is a fast and free of contamination method for analysis of substances in water samples. However, direct-determination of SO4- with high concentration in environmental systems is still challenging due to deviation from Beer-Lambert law is generally observed when a substance with high concentration is directly determined, resulting in poor accuracy, sensitivity, and narrow linear range. In this study, a simple and rapid method for the directdetermination of SO4- with high concentration was proposed. Serial high-absorbance differential spectrophotometry was applied to incrementally widen the determination range under different optical pathlengths. In this process, the effects of optical pathlength and reference concentration on sensitivity were further investigated. The results showed that SO4- could be accurately quantified within a concentration range of 0-4.10 g/L, and the determination range by this method was 10-fold and 19.5-fold wider than those by conventional differential spectrophotometry and conventional spectrophotometry, respectively. And the applicable ranges of sensitivity were obtained at various optical pathlengths by adjusting the reference solution concentration. This approach exhibited several advantages over conventional methods, including high accuracy, excellent precision, low cost, less time consumption, and easy operation. This method is promising and can provide accurate and reliable data support for environmental monitoring and pollution control.

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