Nguyen-Quang Trung, Bui-Quang Minh, Truong-Ngoc Minh
Vietnam Academy of Science and Technology (VAST), Center for Research and Technology Transfer (CRETECH), 18 Hoang Quoc Viet Road, 100000 Hanoi, Vietnam.
Vietnam Academy of Science and Technology (VAST), Graduate University of Science and Technology (GUST), 18 Hoang Quoc Viet Road, 100000 Hanoi, Vietnam.
J Anal Methods Chem. 2021 Oct 30;2021:5583860. doi: 10.1155/2021/5583860. eCollection 2021.
Inductively coupled plasma mass spectrometry (ICP-MS) analytical method was used to determine the content of 40 elements in 38 soybean samples () from 4 countries. Multivariate statistical methods, such as principal components analysis (PCA), were performed to analyze the obtained data to establish the provenance of the soybeans. Although soybean is widely marketed in many countries, no universal method is used to discriminate the origin of these cereals. Our study introduced the initial step to the identification of the geographical origin of commercial soybean marketed in Vietnam. The analysis pointed out that there are significant differences in the mean of 33 of the 40 analyzed elements among 4 countries' soybean samples, namely, B, Al, Ca, Sc, Ti, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Y, Zr, Nb, Mo, Rh, Ba, Dy, Ho, Lu, Hf, Ta, W, Re, Au, Hg, Tl, and Pb. The PCA analysis showed that the soybean samples can be classified correctly according to their original locations. This research can be used as a prerequisite for future studies of using the combination of elemental composition analysis with statistical classification methods for an accurate provenance establishment of soybean, which determined a variation of key markers for the original discrimination of soybean.
采用电感耦合等离子体质谱（ICP-MS）分析方法测定了来自4个国家的38份大豆样品中的40种元素含量。运用主成分分析（PCA）等多元统计方法对所得数据进行分析，以确定大豆的产地。尽管大豆在许多国家广泛销售，但尚无通用方法来鉴别这些谷物的产地。我们的研究为越南市场上商业大豆地理产地的鉴定迈出了第一步。分析指出，4个国家的大豆样品中，40种被分析元素中的33种元素的平均值存在显著差异，即硼、铝、钙、钪、钛、锰、铁、钴、镍、铜、锌、镓、砷、硒、铷、锶、钇、锆、铌、钼、铑、钡、镝、钬、镥、铪、钽、钨、铼、金、汞、铊和铅。主成分分析表明，大豆样品能够根据其原始产地被正确分类。本研究可为今后将元素组成分析与统计分类方法相结合以准确确定大豆产地的研究提供前提条件，该研究确定了用于大豆产地鉴别的关键标志物的变化情况。
