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一种基于智能手机的传感器,用于检测食物和饮料样本中的铁和钾。

A smartphone-based sensor for detection of iron and potassium in food and beverage samples.

机构信息

Yildiz Technical University, Food Engineering Department, Chemical-Metallurgical Engineering Faculty, Istanbul, Türkiye.

Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Department of Chemistry, Faculty of Science, Bangkok 10330, Thailand.

出版信息

Food Chem. 2024 Oct 30;456:139971. doi: 10.1016/j.foodchem.2024.139971. Epub 2024 Jun 3.

Abstract

A novel approach for simultaneous detection of iron and potassium via a smartphone-based potentiometric method is proposed in this study. The screen printed electrodes were modified with carbon black nanomaterial and ion selective membrane including zinc (II) phtalocyanine as the ionophore. The developed Fe-selective electrode and K-selective electrode exhibited detection limits of 1.0 × 10 M and 1.0 × 10 M for Fe and K ions, respectively. The electrodes were used to simultaneously detect Fe and K ions in apple juice, skim milk, soybean and coconut water samples with recovery values between 90%-100.5%, and validated against inductively coupled plasma-optical emission spectrometry. Due to the advantageous characteristics of the sensors and the portability of Near Field Communication potentiometer supported with a smartphone application, the proposed method offers sensitive and selective detection of iron and potassium ions in food and beverage samples at the point of need.

摘要

本研究提出了一种通过基于智能手机的电位法同时检测铁和钾的新方法。在丝网印刷电极上修饰了碳黑纳米材料和包括锌(II)酞菁作为离子载体的离子选择膜。所开发的 Fe 选择性电极和 K 选择性电极对 Fe 和 K 离子的检测限分别为 1.0×10-5 M 和 1.0×10-5 M。这些电极用于同时检测苹果汁、脱脂牛奶、大豆和椰子水中的 Fe 和 K 离子,回收率在 90%-100.5%之间,并与电感耦合等离子体-光学发射光谱法进行了验证。由于传感器的优势特性和支持智能手机应用的近场通信电位计的便携性,该方法在需要的地点提供了对食品和饮料样品中铁和钾离子的灵敏和选择性检测。

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