Work

Application of Spectroscopic Methods for the Authentication of Agricultural Products of Vietnam: a Study of St25 Rice

Year: 2024

Type: article

Abstract: Food fraud, particularly in staple commodities like rice, poses significant risks to trademark protection as well as economic challenges. In this study, we explored the efficacy of Raman spectroscopy in differentiating authentic ST25 rice—a premium variety of Vietnam from other rice types, amidst concerns of adulteration. By utilizing both backscattering and transmission Raman spectroscopy, a total of 125 rice samples consisting of both commercial rice and Vietnamese landrace rice varieties were analyzed. All samples were categorized into two main groups namely ST25 and Non-ST25 for the construction of the classification model. Through principal component analysis (PCA) and k-nearest neighbors (kNN) classification method, we achieved classification accuracies of 81.58% for backscattering data and up to 97.37% for transmission data at elevated temperatures. Our findings highlight the efficacy of Raman spectroscopy for rice authenticity verification, nevertheless, modification in spectral measurement schemes is necessary to obtain better method reproducibility as well as to maintain high discriminatory accuracy of the classification model.

Source: Journal of Science Natural Science

DOI: 10.18173/2354-1059.2024-0045

Authors: Nguyen Quynh Hoa, Bui Thu Thuy, To Thi Mai Hương

Institutions: Trường Đại học Khoa học và Công nghệ Hà Nội, Vietnam Academy of Science and Technology, Hanoi University of Science and Technology, Hanyang University

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: bronze

Funders: Tập đoàn Vingroup - Công ty CP, Quỹ Đổi mới sáng tạo Vingroup