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首页> 外文期刊>Current Analytical Chemistry >Genetic Algorithm Based Wavelengths Selection Coupled with Partial Least Squares for Simultaneous Spectrophotometric Determination of Phosphate and Silicate in Detergent Products
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Genetic Algorithm Based Wavelengths Selection Coupled with Partial Least Squares for Simultaneous Spectrophotometric Determination of Phosphate and Silicate in Detergent Products

机译:基于遗传算法基于波长选择与磷酸盐和硅酸盐同时分光光度法测定的部分最小二乘

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摘要

Background: Phosphate and silicate are very important in a variety of compounds such as mineral resources, underground water, detergents and cleaners. Phosphate and silicate in water positively influence the metabolism of plants and animals. They have led to an environmental problem. This problem can have serious consequences because phosphate and silicate are widely utilized in water softening, surfactants and a large number of other applications.
机译:背景技术:磷酸盐和硅酸盐在各种化合物如矿物资源,地下水,洗涤剂和清洁剂中非常重要。 水中磷酸盐和硅酸盐积极影响植物和动物的代谢。 他们导致了一个环境问题。 该问题可能具有严重后果,因为磷酸盐和硅酸盐广泛用于水软化,表面活性剂和大量其他应用。

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