Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBS Article Swipe
Weiwei 伟伟 HAN 韩
,
Daowei Sun
,
Guoding 国鼎 ZHANG 张
,
Lele Ren
,
Xiaona 小娜 CUI 崔
,
Jincheng 金成 SHEN 申
,
Haoliang 浩亮 WANG 王
,
Denghong Zhang
,
C. Z. Dong
,
Maogen Su
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/2058-6272/ad2670
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/2058-6272/ad2670
To obtain more stable spectral data for accurate quantitative analysis of multi-element, especially for the large-area in-situ elements detection of soils, we propose a method for a multi-element quantitative analysis of soils using calibration-free laser-induced breakdown spectroscopy (CF-LIBS) based on data filtering. In this study, we analyze a standard soil sample doped with two heavy metal elements, Cu and Cd, with a specific focus on the line of Cu I 324.75 nm for filtering the experimental data of multiple sample sets. Pre- and post- data filtering, the relative standard deviation for Cu decreased from 30% to 10%, The limits of detection (LOD) values for Cu and Cd decreased by 5% and 4%, respectively. Through CF-LIBS, a quantitative analysis was conducted to determine the relative content of elements in soils. Using Cu as a reference, the concentration of Cd was accurately calculated. The results show that post- data filtering, the average relative error of the Cd decreases from 11% to 5%, indicating the effectiveness of data filtering in improving the accuracy of quantitative analysis. Moreover, the content of Si, Fe and other elements can be accurately calculated using this method. To further correct the calculation, the results for Cd was used to provide a more precise calculation. This approach is of great importance for the large-area in-situ heavy metals and trace elements detection in soil, as well as for rapid and accurate quantitative analysis.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/2058-6272/ad2670
- OA Status
- hybrid
- Cited By
- 3
- References
- 29
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4391544175Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/2058-6272/ad2670Digital Object Identifier
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Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBSWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-02-05Full publication date if available
- Authors
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Weiwei 伟伟 HAN 韩, Daowei Sun, Guoding 国鼎 ZHANG 张, Lele Ren, Xiaona 小娜 CUI 崔, Jincheng 金成 SHEN 申, Haoliang 浩亮 WANG 王, Denghong Zhang, C. Z. Dong, Maogen SuList of authors in order
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https://doi.org/10.1088/2058-6272/ad2670Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1088/2058-6272/ad2670Direct OA link when available
- Concepts
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Soil water, Analytical Chemistry (journal), Materials science, Biological system, Chemistry, Environmental science, Soil science, Chromatography, BiologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.CF-LIBS, | 115 |
| abstract_inverted_index.accuracy | 170 |
| abstract_inverted_index.accurate | 8, 231 |
| abstract_inverted_index.analysis | 10, 30, 118 |
| abstract_inverted_index.approach | 208 |
| abstract_inverted_index.elements | 18, 127, 182, 221 |
| abstract_inverted_index.multiple | 79 |
| abstract_inverted_index.relative | 88, 124, 151 |
| abstract_inverted_index.specific | 63 |
| abstract_inverted_index.spectral | 5 |
| abstract_inverted_index.standard | 49, 89 |
| abstract_inverted_index.(CF-LIBS) | 38 |
| abstract_inverted_index.Moreover, | 174 |
| abstract_inverted_index.analysis. | 173, 233 |
| abstract_inverted_index.breakdown | 36 |
| abstract_inverted_index.conducted | 120 |
| abstract_inverted_index.decreased | 93, 108 |
| abstract_inverted_index.decreases | 156 |
| abstract_inverted_index.detection | 19, 101, 222 |
| abstract_inverted_index.determine | 122 |
| abstract_inverted_index.deviation | 90 |
| abstract_inverted_index.elements, | 57 |
| abstract_inverted_index.filtering | 74, 166 |
| abstract_inverted_index.improving | 168 |
| abstract_inverted_index.accurately | 140, 185 |
| abstract_inverted_index.calculated | 186 |
| abstract_inverted_index.especially | 13 |
| abstract_inverted_index.filtering, | 86, 148 |
| abstract_inverted_index.filtering. | 42 |
| abstract_inverted_index.importance | 212 |
| abstract_inverted_index.indicating | 161 |
| abstract_inverted_index.large-area | 16, 215 |
| abstract_inverted_index.reference, | 134 |
| abstract_inverted_index.calculated. | 141 |
| abstract_inverted_index.calculation, | 194 |
| abstract_inverted_index.calculation. | 206 |
| abstract_inverted_index.experimental | 76 |
| abstract_inverted_index.quantitative | 9, 29, 117, 172, 232 |
| abstract_inverted_index.spectroscopy | 37 |
| abstract_inverted_index.concentration | 136 |
| abstract_inverted_index.effectiveness | 163 |
| abstract_inverted_index.laser-induced | 35 |
| abstract_inverted_index.multi-element | 28 |
| abstract_inverted_index.respectively. | 113 |
| abstract_inverted_index.multi-element, | 12 |
| abstract_inverted_index.calibration-free | 34 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.71228732 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |