2022
DOI: 10.1016/j.jfca.2022.104677
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Rice authentication: An overview of different analytical techniques combined with multivariate analysis

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Cited by 18 publications
(11 citation statements)
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“…Percentages of correct classification were high since none of the Pa samples was misclassified using the geographical origin as the grouping variable (Figure 6). Therefore, as with oil palm, rice, and olive, lipid profiling may be an effective chemometric method to discriminate Pa origins 28,51,52 . Further, both environmental and genetic factors may contribute to the observed differences in fruit lipid composition between Pa populations.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Percentages of correct classification were high since none of the Pa samples was misclassified using the geographical origin as the grouping variable (Figure 6). Therefore, as with oil palm, rice, and olive, lipid profiling may be an effective chemometric method to discriminate Pa origins 28,51,52 . Further, both environmental and genetic factors may contribute to the observed differences in fruit lipid composition between Pa populations.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, as with oil palm, rice, and olive, lipid profiling may be an effective chemometric method to discriminate Pa origins. 28,51,52 Further, both environmental and genetic factors may contribute to the observed differences in fruit lipid composition between Pa populations. A recent study reported the role of geographical distribution over the genetic structure in Pa populations 53 ; which may also influence the biochemical variations of lipids.…”
Section: Chemometric Discrimination Of P Aequatorialis Populationsmentioning
confidence: 99%
“…Adulteration and mislabelling is commonplace due to demand for particular varieties and origins. Wadood 236 and team have collated the latest studies into rice authenticity utilising a variety of analytical and statistical methodologies: ICP-MS, ICP-OES and IRMS are most commonly employed for analysis and PCA, HCA (Hierarchical Cluster Analysis), ANN, KNN (K-nearest neighbour), LDA, PLS-DA, SIMCA, and SVM. The collated information provides a useful summary to the current progress in this field.…”
Section: Applications: Foods and Beveragesmentioning
confidence: 99%
“…Bilge, et al [45] discriminated between beef, chicken, and pork meats using LIBS. LIBS was used to identify kudzu powder from different habitats [51], establish the geographical origin of rice [24,52,53], and identify olive oil [54][55][56].…”
Section: Introductionmentioning
confidence: 99%