Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting meth...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2023-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2023/1465773 |
| _version_ | 1797640317729505280 |
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| author | Trung Nguyen-Quang Minh Bui-Quang Thinh Pham-Van Nhan Le-Van Khanh Nguyen-Hoang Duc Nguyen-Minh Tinh Phung-Thi Anh Le-Viet Duc Tran-Ha Minh Dat Nguyen-Tien Tuan-Anh Hoang-Le Minh Truong-Ngoc |
| author_facet | Trung Nguyen-Quang Minh Bui-Quang Thinh Pham-Van Nhan Le-Van Khanh Nguyen-Hoang Duc Nguyen-Minh Tinh Phung-Thi Anh Le-Viet Duc Tran-Ha Minh Dat Nguyen-Tien Tuan-Anh Hoang-Le Minh Truong-Ngoc |
| author_sort | Trung Nguyen-Quang |
| collection | DOAJ |
| description | Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including 7Li, 11B, 24Mg, 27Al, 44Ca, 48Ti, 51V, 52Cr, 55Mn, 57Fe, 60Ni, 63Cu, 66Zn, 93Nb, 98Mo, 111Cd, 115In, 121Sb, 138Ba, 208Pb, and 209Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts. |
| first_indexed | 2024-03-11T13:30:12Z |
| format | Article |
| id | doaj.art-24067da44d26440aad07fcd90e3b6ef9 |
| institution | Directory Open Access Journal |
| issn | 2090-8873 |
| language | English |
| last_indexed | 2024-03-11T13:30:12Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj.art-24067da44d26440aad07fcd90e3b6ef92023-11-03T00:00:02ZengHindawi LimitedJournal of Analytical Methods in Chemistry2090-88732023-01-01202310.1155/2023/1465773Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food CategorizationTrung Nguyen-Quang0Minh Bui-Quang1Thinh Pham-Van2Nhan Le-Van3Khanh Nguyen-Hoang4Duc Nguyen-Minh5Tinh Phung-Thi6Anh Le-Viet7Duc Tran-Ha Minh8Dat Nguyen-Tien9Tuan-Anh Hoang-Le10Minh Truong-Ngoc11Center for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Faculty of Food Science and TechnologyCenter for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Institute of Genome ResearchCenter for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Center for Research and Technology Transfer (CRETECH)Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including 7Li, 11B, 24Mg, 27Al, 44Ca, 48Ti, 51V, 52Cr, 55Mn, 57Fe, 60Ni, 63Cu, 66Zn, 93Nb, 98Mo, 111Cd, 115In, 121Sb, 138Ba, 208Pb, and 209Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts.http://dx.doi.org/10.1155/2023/1465773 |
| spellingShingle | Trung Nguyen-Quang Minh Bui-Quang Thinh Pham-Van Nhan Le-Van Khanh Nguyen-Hoang Duc Nguyen-Minh Tinh Phung-Thi Anh Le-Viet Duc Tran-Ha Minh Dat Nguyen-Tien Tuan-Anh Hoang-Le Minh Truong-Ngoc Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization Journal of Analytical Methods in Chemistry |
| title | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
| title_full | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
| title_fullStr | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
| title_full_unstemmed | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
| title_short | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
| title_sort | classification of vietnamese cashew nut anacardium occidentale l products using statistical algorithms based on icp ms data a study of food categorization |
| url | http://dx.doi.org/10.1155/2023/1465773 |
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