Geographical origin traceability of Sengcu rice using elemental markers and multivariate analysis-Reference-Cited by-同舟云学术

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Geographical origin traceability of Sengcu rice using elemental markers and multivariate analysis

Published:2022-06-19 Issue:3 Volume:15 Page:177-190
ISSN:1939-3210
Container-title:Food Additives & Contaminants: Part B
language:en
Short-container-title:Food Additives & Contaminants: Part B

Author:

Bui Minh Quang¹,Quan Thuy Cam²,Nguyen Quang Trung¹,Tran-Lam Thanh-Thien³^ORCID,Dao Yen Hai⁴

Affiliation:

1. Center for Research and Technology Transfer, Vietnam Academy of Science and Technology, Ha Noi, Vietnam

2. Department of Analytical Chemistry, Faculty of Chemistry, Viet Tri University of Industry, Phu Tho, Vietnam

3. Institute of Mechanics and Applied Informatics, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam

4. Institute of Chemistry, Vietnam Academy of Science and Technology, Ha Noi, Vietnam

Funder

Vietnam Academy of Science and Technology

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Toxicology,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19393210.2022.2070932

Reference41 articles.

1. Geographical identification of Chianti red wine based on ICP-MS element composition

2. Improving the Technical Efficiency of Sengcu Rice Producers through Better Financial Management and Sustainable Farming Practices in Mountainous Areas of Vietnam

3. Discrimination of geographical origin of rice based on multi-element fingerprinting by high resolution inductively coupled plasma mass spectrometry

4. China. 2012. National food safety standard maximum levels of contaminants in food GB 2762-2012. China: China Food and Drug Administration.

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2. Towards generalizable food source identification: An explainable deep learning approach to rice authentication employing stable isotope and elemental marker analysis;Food Research International;2024-03

3. The discrimination of geographical origin of lotus root from major producing areas of China based on multi-elemental analysis combined with multivariate data analysis;Spectroscopy Letters;2023-10-10

4. Towards a Standardized Approach for the Geographical Traceability of Plant Foods Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Principal Component Analysis (PCA);Foods;2023-04-29

5. Inductively Coupled Plasma-Mass Spectrometry (ICP-MS), a Useful Tool in Authenticity of Agricultural Products’ and Foods’ Origin;Foods;2022-11-18

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