首页> 外文期刊>Journal of Food Composition and Analysis >Optimization of preconcentration procedure using magnetic nanoparticles for the determination of manganese in cereal samples.
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Optimization of preconcentration procedure using magnetic nanoparticles for the determination of manganese in cereal samples.

机译:使用磁性纳米颗粒测定谷物样品中锰的优化预浓缩程序。

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In the present study, we developed a magnetic nanoparticle adsorbent that uses iron oxide nanoparticles as the core and 1-(2-pyridylazo)-2-naphthol (PAN) as manganese ion exchange groups in cereal samples. This adsorbent was shown to be quick and efficient for the adsorption of manganese due to higher specific surface area, lower mass removal resistance and the absence of internal diffusion resistance. This method is simple and rapid for the preconcentration and determination of manganese in food samples by inductively coupled plasma optical emission spectrometry (ICP OES). The technical feasibility of magnetic nanoparticles for the removal of manganese was investigated under batch studies. It was based on (PAN)-modified magnetic nanoparticles. Four variables (pH of solution, amount of extractant (E), amount of nanoparticles (N) and time) were regarded as factors in the optimization. Results of the two-level fractional factorial design (24-1) based on an analysis of variance demonstrated that only the pH, amount of extractant (E) and amount of nanoparticles (N) were statistically significant. Optimal conditions for the extraction of manganese were obtained using Box-Behnken design. For optimum recovery of manganese, the variables pH of solution, amount of nanoparticles and amount of extractant values were 9.44, 3.46 mg and 3.91 mg, respectively. In the optimum experimental conditions, the limit of detection and enrichment factor of the proposed method were 0.1 micro g L-1 and 28, respectively. The precision as RSD was 3.6% for concentration of 50 micro g L-1. The accuracy of the proposed procedure was evaluated by analysis of certified reference material. The method was applied to the determination of manganese in barley, wheat and rice flour samples. The manganese content in the samples analyzed varied from 7.8 to 19.9 micro g g-1.
机译:在本研究中,我们开发了一种磁性纳米颗粒吸附剂,该吸附剂使用氧化铁纳米颗粒作为核心,并将1-(2-吡啶基偶氮)-2-萘酚(PAN)作为谷物样品中的锰离子交换基团。由于较高的比表面积,较低的除质量阻力和不存在内部扩散阻力,因此表明该吸附剂可快速有效地吸附锰。该方法通过电感耦合等离子体发射光谱法(ICP OES)对食品样品中的锰进行富集和测定的方法简便,快速。在批处理研究中研究了磁性纳米颗粒用于去除锰的技术可行性。它基于(PAN)改性的磁性纳米颗粒。优化过程中考虑了四个变量(溶液的pH值,萃取剂的量( E ),纳米颗粒的量( N )和时间)。基于方差分析的两级分数阶乘设计(2 4-1 )结果表明,只有pH值,萃取剂( E )的量和纳米粒子( N )具有统计学意义。使用Box-Behnken设计获得了萃取锰的最佳条件。为了最佳地回收锰,溶液的pH值,纳米颗粒的量和萃取剂的量的变量分别为9.44、3.46 mg和3.91 mg。在最佳实验条件下,该方法的检出限和富集系数分别为0.1 micro g L -1 和28。浓度为50 µg L -1 时,RSD精度为3.6%。通过分析认证的参考物质评估了建议程序的准确性。该方法用于大麦,小麦和大米粉样品中锰的测定。分析样品中的锰含量在7.8至19.9微克g -1 之间。

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