Smartphone-enabled green anthocyanin sensor for Fe(III) sensing on paper using capillary-driven microfluidics

被引:6
作者
Aryal, Prakash [1 ]
Indrianingsih, Anastasia Wheni [2 ]
Henry, Charles S. [1 ,3 ,4 ,5 ]
机构
[1] Colorado State Univ, Dept Chem, Ft Collins, CO 80523 USA
[2] Natl Res & Innovat Agcy BRIN, Res Ctr Food Technol & Proc, Yogyakarta 55861, Indonesia
[3] Colorado State Univ, Dept Chem & Biol Engn, Ft Collins, CO 80523 USA
[4] Colorado State Univ, Sch Biomed Engn, Ft Collins, CO 80523 USA
[5] Chulalongkorn Univ, Met & Mat Sci Res Inst, Bangkok 10330, Thailand
来源
GREEN ANALYTICAL CHEMISTRY | 2024年 / 8卷
关键词
Microfluidics; Anthocyanins; Colorimetric sensor; Fe(iii); Paper-based detection; IRON-DEFICIENCY; ANALYTICAL DEVICE; METALS; COLOR; ASSAY; ION;
D O I
10.1016/j.greeac.2023.100091
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Chemical wastes, such as synthetic dyes and coloring agents, pose significant concerns due to their detrimental impact on human health and ecosystems. As an eco-friendly alternative, the study of natural dyes and coloring agents has gained momentum over the last decade, owing to their biodegradability and reduced environmental and health risks. Here, we report a novel approach employing a butterfly pea anthocyanin paper-based sensor to quantify Fe(III) ions in water. Compared to previous green sensing techniques reliant on heavy instrumentations, this approach offers enhanced accessibility, cost-effectiveness, and user-friendliness. Notably, this study is the first example of natural dye sensing on a capillary microfluidics system. The capillary-driven microfluidic system ensures user-friendly operation and allows the sensing platform to be directly immersed in water without reagent loss. The device's design involves drying the butterfly pea-derived anthocyanin reagent within a pH-controlled paper substrate embedded in the capillary-driven microfluidic system. Smartphone-based colorimetric signal generation and quantification was achieved within seconds for a working range of 50-800 mg/L, with the device's detection limit of 43 mg/L using ImageJ and 55 mg/L using the smartphone app. This green sensing methodology has the potential to be used for groundwater sources with elevated Fe(III) levels. Additionally, this platform can be used in chemistry educational settings as an effective means to understand fundamental concepts such as acid-base reactions, base strength, ionic equilibrium, and metal complexation in a user-friendly microfluidic system.
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页数:8
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