A predictive model for the determination of cadmium concentration in cocoa beans using laser-induced plasma spectroscopy
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2022
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| _version_ | 1876471261701341184 |
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| author | Sandra Liliana Herrera Celis |
| author_facet | Sandra Liliana Herrera Celis |
| contents | A predictive model for the determination of cadmium concentration in cocoa beans using laser-induced plasma spectroscopy Sandra Liliana Herrera Celis Jáder Enrique Guerrero Bermúdez Enrique Mejía-Ospino Rafael Cabanzo Hernández Agrociencias heavy metals atomic spectroscopy Inorganic contaminants partial least square regression This study proposes a predictive model to determine the concentration of cadmium (Cd) in cocoa beans based on laser-induced breakdown spectroscopy (LIBS) and partial least squares regression (PLSR-1 or PLS-1). The multivariate calibration model was developed using 46 cocoa bean samples, with Cd concentrations up to 1 mg kg-1. The increase of the LIBS signal in the Cd emission lines was evident when the cocoa bean sample was subjected to a solid-liquid-solid transformation (SLST). The range error ratio (RER) was 7.92, which allowed it to be classified as a screening model. Monte Carlo cross-validation was used, with 60% of samples for calibration and the remaining for testing. The standard error of cross-validation (SECV) and standard error of calibration (SEC) were 0.12 mg kg-1 and 0.05 mg kg-1, respectively. The proposed procedure is framed within the alternatives for the chemical analysis of cocoa. 2022 artículo científico 0120-9965 https://www.redalyc.org/articulo.oa?id=180377650013 https://www.redalyc.org/journal/1803/180377650013/ https://www.redalyc.org/journal/1803/180377650013/html/ https://www.redalyc.org/journal/1803/180377650013/180377650013.epub https://www.redalyc.org/journal/1803/180377650013/movil 10.15446/agron.colomb.v40n3.104911 en http://www.redalyc.org/revista.oa?id=1803 Agronomía Colombiana application/pdf Universidad Nacional de Colombia Agronomía Colombiana (Colombia) Num.3 Vol.40 |
| format | Artículo científico |
| id | redalyc_180377650013 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | A predictive model for the determination of cadmium concentration in cocoa beans using laser-induced plasma spectroscopy Sandra Liliana Herrera Celis Agrociencias heavy metals atomic spectroscopy Inorganic contaminants partial least square regression A predictive model for the determination of cadmium concentration in cocoa beans using laser-induced plasma spectroscopy Sandra Liliana Herrera Celis Jáder Enrique Guerrero Bermúdez Enrique Mejía-Ospino Rafael Cabanzo Hernández Agrociencias heavy metals atomic spectroscopy Inorganic contaminants partial least square regression This study proposes a predictive model to determine the concentration of cadmium (Cd) in cocoa beans based on laser-induced breakdown spectroscopy (LIBS) and partial least squares regression (PLSR-1 or PLS-1). The multivariate calibration model was developed using 46 cocoa bean samples, with Cd concentrations up to 1 mg kg-1. The increase of the LIBS signal in the Cd emission lines was evident when the cocoa bean sample was subjected to a solid-liquid-solid transformation (SLST). The range error ratio (RER) was 7.92, which allowed it to be classified as a screening model. Monte Carlo cross-validation was used, with 60% of samples for calibration and the remaining for testing. The standard error of cross-validation (SECV) and standard error of calibration (SEC) were 0.12 mg kg-1 and 0.05 mg kg-1, respectively. The proposed procedure is framed within the alternatives for the chemical analysis of cocoa. 2022 artículo científico 0120-9965 https://www.redalyc.org/articulo.oa?id=180377650013 https://www.redalyc.org/journal/1803/180377650013/ https://www.redalyc.org/journal/1803/180377650013/html/ https://www.redalyc.org/journal/1803/180377650013/180377650013.epub https://www.redalyc.org/journal/1803/180377650013/movil 10.15446/agron.colomb.v40n3.104911 en http://www.redalyc.org/revista.oa?id=1803 Agronomía Colombiana application/pdf Universidad Nacional de Colombia Agronomía Colombiana (Colombia) Num.3 Vol.40 |
| title | A predictive model for the determination of cadmium concentration in cocoa beans using laser-induced plasma spectroscopy |
| topic | Agrociencias heavy metals atomic spectroscopy Inorganic contaminants partial least square regression |
| url | https://www.redalyc.org/articulo.oa?id=180377650013 https://www.redalyc.org/journal/1803/180377650013/ https://www.redalyc.org/journal/1803/180377650013/html/ https://www.redalyc.org/journal/1803/180377650013/180377650013.epub https://www.redalyc.org/journal/1803/180377650013/movil |