Modeling of Chromium, Copper, Zinc, Arsenic and Lead Using Portable X-ray Fluorescence Spectrometer Based on Discrete Wavelet Transform
Bibliographic Data
| ID | 15514465 |
|---|---|
| Authors | Fang Li (0000-0001-9180-3615, Beijing Municipal Ecological and Environmental Monitoring Center), Anxiang Lu (0000-0002-6933-2375, Beijing Municipal Ecological and Environmental Monitoring Center, corresponding author), Jihua Wang (0000-0002-9299-3438, Beijing Research Center for Agricultural and Standards and Testing) |
| Year | 2017 |
| Volume | 14 |
| Issue | 10 |
| Pages | 1163-1163 |
| Publication date | 2017-09-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph14101163 |
| PMID | 28974007 |
| OpenAlex | W2759120888 |
| Language | EN |
| Citations received | 4 |
| References cited | 2 |
A modeling method based on discrete wavelet transform (DWT) was introduced to analyze the concentration of chromium, copper, zinc, arsenic and lead in soil with a portable X-ray fluorescence (XRF) spectrometer. A total of 111 soil samples were collected and observed. Denoising and baseline correction were performed on each spectrum before modeling. The optimum conditions for pre-processing were denoising with Coiflet 3 on the 3rd level and baseline correction with Coiflet 3 on the 9th level. Calibration curves were established for the five heavy metals (HMs). The detection limits were compared before and after the application of DWT, the qualitative detection limits and the quantitative detection limits were calculated to be three and ten times as high as the standard deviation with silicon dioxide (blank), respectively. The results showed that the detection limits of the instrument using DWT were lower, and that they were below national soil standards; the determination coefficients (R2) based on DWT-processed spectra were higher, and ranged from 0.990 to 0.996, indicating a high degree of linearity between the contents of the HMs in soil and the XRF spectral characteristic peak intensity with the instrument measurement
Analytical Chemistry (journal · Arsenic · Calibration · Calibration curve · Chromatography · Chromium · Copper · Detection limit · Discrete wavelet transform · Metallurgy · Optics · Physics · Spectrometer · Statistics · Wavelet · Wavelet transform · Zinc · Chemistry · Computer Science · Geochemistry and Geologic Mapping · Materials Science · Mathematics · Soil Geostatistics and Mapping · Spectroscopy and Chemometric Analyses · Artificial Intelligence
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2018 - 2026 (9) |
| Highly cited | No |