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首页> 外文期刊>Journal of Plant Nutrition >A QUICK TEST BASED ON CATALDO'S METHOD TO DETERMINE NITRATE IN FRESH TISSUE EXTRACTS
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A QUICK TEST BASED ON CATALDO'S METHOD TO DETERMINE NITRATE IN FRESH TISSUE EXTRACTS

机译:基于CATALDO方法的快速测定新鲜组织提取物中硝酸盐的方法

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摘要

Leafy vegetables could accumulate nitrate (NO3-) above limits safe for humans, hence it would be advisable to customarily determine their NO3- concentration. We wanted to develop a quick test to determine NO3- concentration in fresh tissue extracts and estimate the error of using this test to identify samples with NO3- concentrations above the World Health Organization (WHO) threshold. There was a positive linear relationship (P 0.001) between NO3- concentrations determined by the quick test and by potentiometry in dry tissue extracts. Samples were classified as "acceptable" or "excessive" according to their potentiometric NO3- concentration, using a critical level of 75% (p) of the observed NO3- distribution. According to the Cate-Nelson model, the quick test identified as "acceptable" from 5.6% to 15.4% of samples that were in the "excessive" category. In spite of this error rate, the quick test use would improve consumers' protection, because no controls on vegetables NO3- concentration are available in Uruguay.
机译:叶菜类蔬菜可能累积的硝酸盐(NO3-)超过对人类安全的极限,因此建议常规确定其NO3-浓度。我们希望开发一种快速测试来确定新鲜组织提取物中的NO3-浓度,并估计使用该测试来识别NO3-浓度高于世界卫生组织(WHO)阈值的样品的误差。通过快速测试和电位法测定的干组织提取物中的NO3-浓度之间存在正线性关系(P <0.001)。根据样品中NO3-的电位浓度,使用观察到的NO3-分布的75%(p)的临界水平将样品分类为“可接受”或“过量”。根据Cate-Nelson模型,快速测试将“过量”类别中的5.6%到15.4%的样本确定为“可接受”。尽管错误率很高,但由于乌拉圭无法控制蔬菜中NO3的浓度,因此快速测试可以提高消费者的保护水平。

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