Abstract
Turbidity usually has a great impact on the actual measurement of the value of nitrate concentrations in the seawater. In this study, a new turbidity correction approach for nitrate concentrations measurement in the seawater based on ultraviolet absorption spectroscopy is presented. Experiments were carried out to prove the improvement of the turbidity correction method with ultraviolet spectroscopy. The orthogonal projections to latent structures (O-PLS) algorithm was chosen to correct the additional information in absorbance caused by turbidity. The experimental results show that the influence of turbidity could be excellently removed. Compared with the standard normalized variate (SNV) transformation, the O-PLS algorithm could better reduce the influence of turbidity on the nitrate absorbance and improve the measurement accuracy in turbid seawater. The linear correlation coefficient (R2) of the prediction results in test samples is 0.9999 and RMSEP is 0.1886 μmol/L.
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