Jiao Linshu, Zhang Liuquan, Zhang Yongzhu, Wang Ran, Liu Xianjin, Lu Baiyi
Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base, Ministry of Science and Technology, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Key Laboratory For Quality Evaluation and Health Benefit of Agro-Products of Ministry of Agriculture and Rural Affairs, College of Biosystems Engineering and Food Science, Key Laboratory for Quality and Safety Risk Assessment of Agro-Products Storage and Preservation of Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China.
Front Nutr. 2022 Sep 23;9:990628. doi: 10.3389/fnut.2022.990628. eCollection 2022.
Se-rich agro-foods are effective Se supplements for Se-deficient people, but the associated metals have potential risks to human health. Factors affecting the accumulation of Se and its associated metals in Se-rich agro-foods were obscure, and the prediction models for the accumulation of Se and its associated metals have not been established. In this study, 661 samples of Se-rich rice, garlic, black fungus, and eggs, four typical Se-rich agro-foods in China, and soil, matrix, feed, irrigation, and feeding water were collected and analyzed. The major associated metal for Se-rich rice and garlic was Cd, and that for Se-rich black fungus and egg was Cr. Se and its associated metal contents in Se-rich agro-foods were positively correlated with Se and metal contents in soil, matrix, feed, and matrix organic contents. The Se and Cd contents in Se-rich rice grain and garlic were positively and negatively correlated with soil pH, respectively. Eight models for predicting the content of Se and its main associated metals in Se-rich rice, garlic, black fungus, and eggs were established by multiple linear regression. The accuracy of the constructed models was further validated with blind samples. In summary, this study revealed the main associated metals, factors, and prediction models for Se and metal accumulation in four kinds of Se-rich agro-foods, thus helpful in producing high-quality and healthy Se-rich.
富硒农产品是缺硒人群有效的硒补充剂，但其中的伴生金属对人体健康存在潜在风险。影响富硒农产品中硒及其伴生金属积累的因素尚不明确，且尚未建立硒及其伴生金属积累的预测模型。本研究采集并分析了中国四种典型富硒农产品（富硒大米、大蒜、黑木耳和鸡蛋）以及土壤、基质、饲料、灌溉水和饲养用水的661个样本。富硒大米和大蒜的主要伴生金属是镉，富硒黑木耳和鸡蛋的主要伴生金属是铬。富硒农产品中硒及其伴生金属含量与土壤、基质、饲料中的硒和金属含量以及基质有机含量呈正相关。富硒稻谷和大蒜中的硒和镉含量分别与土壤pH呈正相关和负相关。通过多元线性回归建立了八个预测富硒大米、大蒜、黑木耳和鸡蛋中硒及其主要伴生金属含量的模型。利用盲样进一步验证了所构建模型的准确性。总之，本研究揭示了四种富硒农产品中硒和金属积累的主要伴生金属、影响因素和预测模型，有助于生产高质量、健康的富硒农产品。
