Fish are important sources of protein, making them very significant in the human diet. Although the consumption of this food is beneficial for health, it is essential that the product does not contain inorganic components above the limits recommended by the current legislation. Therefore, a method for determination of elements in fish (Mugil cephalus) samples was optimized. A simplex centroid mixture design with restriction was applied for optimization of the acid digestion of samples in an open system under reflux in order to evaluate the best ratio between the reagents HNO₃, H₂O₂ and H₂O. The results indicated that more intense analyte signals were obtained when a mixture containing 3.6 mL of HNO₃ (65% v/v), 0.4 mL of H₂O₂ (30% v/v) and 6.0 mL of H₂O was used. The accuracy of the method was assessed with a CRM of oyster tissue (NIST 1566b). The method presented relative standard deviations (RSDs) of 3.54%; 3.82%; 4.81% and 3.50% for Zn, Fe, Cu and S, respectively. The detection limits were 0.002 mg kg⁻¹ for Cu and Zn and 0.02 mg kg⁻¹ for Fe and S. The proposed method was applied for the determination of Zn, Fe, Cu and S in fish samples. A Kohonen Self-Organizing Map (KSOM) with K-means implementation was applied to better delimit the boundary between groups and the spatial and temporal influence on how concentrations of the chemical elements were perceived. To verify the separation, the Davies–Bouldin and Silhouette indices were used, obtaining 0.5374 and 0.8541, respectively, indicating satisfactory separation.

中文翻译：

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ICP OES在巴西蓬塔尔湾使用人工神经网络进行Mugil头中元素的测定。

鱼是重要的蛋白质来源，因此在人类饮食中非常重要。尽管食用这种食物有益于健康，但至关重要的是，产品中所含的无机成分不得超过现行法规所建议的限量。因此，优化了测定鱼（Mugil cephalus）样品中元素的方法。为了限制试剂HNO ₃，H ₂ O ₂和H ₂ O的最佳比例，采用有限制的单纯形质心混合物设计优化了开放系统中回流条件下样品的酸消解。当包含3.6 mL HNO的混合物时，获得了强烈的分析物信号₃（65％V / V），0.4毫升水₂ ö ₂（30％体积/体积）和毫升水6.0 ₂使用邻。用牡蛎组织CRM（NIST 1566b）评估了该方法的准确性。该方法的相对标准偏差（RSD）为3.54％；3.82％; 锌，铁，铜和硫分别为4.81％和3.50％。Cu和Zn的检出限为0.002 mg kg ^-1和0.02 mg kg ^-1该方法用于鱼样品中锌，铁，铜和硫的测定。使用带有K均值实现的Kohonen自组织图（KSOM），可以更好地划分组之间的边界以及对如何感知化学元素浓度的时空影响。为了验证分离，使用了Davies-Bouldin和Silhouette指数，分别获得0.5374和0.8541，表明令人满意的分离。