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dc.contributor.author
Salim, Nazaratul Ashifa Abdullah  
dc.contributor.author
Daud, Norlida Mat  
dc.contributor.author
Griboff, Julieta  
dc.contributor.author
Harun, Abdul Rahim  
dc.date.available
2024-02-07T16:05:56Z  
dc.date.issued
2023-09  
dc.identifier.citation
Salim, Nazaratul Ashifa Abdullah; Daud, Norlida Mat; Griboff, Julieta; Harun, Abdul Rahim; Elemental Assessments in Paddy Soil for Geographical Traceability of Rice from Peninsular Malaysia; Elsevier; Rice Science; 30; 5; 9-2023; 486-498  
dc.identifier.issn
1672-6308  
dc.identifier.uri
http://hdl.handle.net/11336/226214  
dc.description.abstract
This investigation aimed to establish the geographical traceability of Malaysian rice by assessing the elemental composition in paddy soil. Multi-element determination in combination with a chemometric approach was applied to evaluate the elemental concentrations of paddy soil from granaries cultivated with the same rice variety and to assess the relationship between elements in the soil and rice (SAR) system. A total of 29 elements (aluminum, arsenic, barium, bromine, calcium, chlorine, cobalt, chromium, cesium, europium, iron, gallium, hafnium, potassium, lanthanum, lutetium, magnesium, manganese, sodium, rubidium, antimony, scandium, samarium, thorium, titanium, uranium, vanadium, ytterbium and zinc) were successfully determined in paddy soil from Kedah, Selangor and Langkawi by neutron activation analysis. A significant difference (P < 0.05) between 18 elements in the soil samples was obtained. The chemometric approaches of principal component and linear discriminant analyses demonstrated clear discrimination and highly corrected classification (100%) of the soil samples. A high classification (98.1%) was also achieved by assessing 10 elements (aluminum, arsenic, bromine, chlorine, potassium, magnesium, manganese, sodium, rubidium and zinc), which similarly applied to rice geographical origin determination. Similar elements in SAR were also observed for differences in the pattern of correlation and bioaccumulation factor between the granaries. Furthermore, the generalized Procrustes analysis showed a 98% consensus between SAR and clear differences between the studied regions. The canonical correlation analysis demonstrated a significant correlation between the chemical profile of SAR (r2 = 0.88, P < 0.001). Therefore, the current work model provides a reliable assessment to establish rice provenance.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
CORRELATION  
dc.subject
GEOGRAPHICAL ORIGIN  
dc.subject
MULTI-ELEMENT  
dc.subject
RICE  
dc.subject
SOIL  
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Elemental Assessments in Paddy Soil for Geographical Traceability of Rice from Peninsular Malaysia  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-02-06T13:41:02Z  
dc.journal.volume
30  
dc.journal.number
5  
dc.journal.pagination
486-498  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Salim, Nazaratul Ashifa Abdullah. Malaysian Nuclear Agency; Malasia. Universiti Kebangsaan Malaysia; Malasia  
dc.description.fil
Fil: Daud, Norlida Mat. Universiti Kebangsaan Malaysia; Malasia  
dc.description.fil
Fil: Griboff, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Centro de Investigaciones en Bioquímica Clínica e Inmunología; Argentina  
dc.description.fil
Fil: Harun, Abdul Rahim. Malaysian Nuclear Agency; Malasia  
dc.journal.title
Rice Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1672630823000677  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.rsci.2023.04.004