Attenuated Total Reflectance Crystal of Silicon for Rapid Nitrate Sensing Combining Mid-Infrared Spectroscopy
Rapid detection of NO<sub>3</sub> <sup>-</sup>-N is critical to address the challenges of food security, environmental degradation, and climate change. Conventional methods for sensing NO<sub>3</sub> <sup>-</sup>-N in water demand pretreatments and chemical reagents, which are time- and cost-consuming. Consequently, Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy has been well applied for the determination of NO<sub>3</sub> <sup>-</sup>-N. However, the conventional ATR crystals, i.e., zinc selenide (ZnSe) and diamond, showed a weakness in duration or cost since the ZnSe material was relatively soft and diamond was relatively expensive. In this study, comparing with ZnSe-ATR and diamond-ATR, a silicon-based ATR (Si-ATR) accessory was developed and used to explore the applicability and stability for sensing NO<sub>3</sub> <sup>-</sup>-N combining mathematic algorithms. It was found that partial least-squares regression (PLSR) showed a good performance comparing with the algorithms of principal component analysis (PCA) and linear regression (LR), and it was recommended for quantifying NO<sub>3</sub> <sup>-</sup>-N. For ZnSe-ATR, the residual prediction deviation (<i>RPD</i>) was more than 1.80, the determination coefficient (<i>R</i> <sup>2</sup>) was more than 0.7725, and the root-mean-square error (<i>RMSE</i>) was less than 2.73 mg L<sup>-1</sup>. For diamond-ATR, the <i>RPD</i> was more than 1.76, the <i>R</i> <sup>2</sup> was more than 0.7309, and the <i>RMSE</i> was less than 8.22 mg L<sup>-1</sup>. For Si-ATR, the <i>RPD</i> was more than 1.42, the <i>R</i> <sup>2</sup> was 0.5198, and the <i>RMSE</i> was less than 11.02 mg L<sup>-1</sup>. It was confirmed that all three types of ATR could be applied in the quantification of NO<sub>3</sub> <sup>-</sup>-N in water for high nitrate concentrations. However, for the quantification of low nitrate concentrations (0-1 mg L<sup>-1</sup> NO<sub>3</sub> <sup>-</sup>-N), ZnSe-ATR and diamond-ATR acquired the same accuracy, while Si-ATR had a lower accuracy. The pretreatment of Si-ATR-based spectra using the deconvolution algorithm could improve the prediction accuracy compared to water deduction for predicting low NO<sub>3</sub> <sup>-</sup>-N. Furthermore, a Si-ATR accessory was developed using Si-ATR, which was reliable for NO<sub>3</sub> <sup>-</sup>-N concentration quantification in water with the advantage of its low cost and long durability. Totally, samples with high nitrate concentrations implied a more reliable prediction for all crystals, and comprehensively, ZnSe-ATR was recommended for sensing low nitrate concentrations; diamond-ATR was recommended for samples with strong acid or base corrosion; and for sensing relatively high nitrate concentrations, such as in natural water bodies, Si-ATR was more economical because of its low cost and relatively long use life.
Authors
- Fei Ma (ORCID: https://orcid.org/0000-0002-7659-2394)
- Liping Xu (ORCID: https://orcid.org/0000-0001-6003-9239)
- Jianmin Zhou (ORCID: https://orcid.org/0009-0006-6000-4064)
Institutions
- University of Chinese Academy of Sciences (CN)
- Institute of Soil Science (CN)
Publication Details
- Journal
- ACS Omega
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1021/acsomega.4c06701
- Citations
- 2
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.59
Funders
- National Natural Science Foundation of China