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Electrochemical determination of capsaicin in pepper samples using sustainable paper-based screen-printed bulk modified with carbon black
Electrochimica Acta ( IF 5.5 ) Pub Date : 2020-07-05 , DOI: 10.1016/j.electacta.2020.136628
Patricia Batista Deroco , Orlando Fatibello-Filho , Fabiana Arduini , Danila Moscone

Sustainable development goals reported in 2030 Agenda established the global challenges in different fields including agrifood, health, and climate change. Smart electrochemical eco-designed sensors can support the achievement of some goals thanks the capability to detect analyte on site using cost-effective instrumentation by unskilled personnel. Herein, we report the first office paper-based sensor fabricated by merging cost-effective technique namely screen- and wax-printing with cheap materials namely paper and carbon black for sustainable detection of capsaicin. By using differential pulse and square wave voltammetry capsaicin was detected at potential close to 0.5 V observing a linear range from 0.20 to 8.0 μmol L−1 and from 0.080 to 6.0 μmol L−1, sensitivity of 1.11 A mol−1 L and 1.97 A mol−1 L, and detection limit of 0.085 μmol L−1 and 0.028 μmol L−1, respectively. The accuracy of the paper-based device was assessed determining capsaicin in tabasco sauce, black pepper, and red pepper by recovery study, obtaining recovery values ranging from 93% to 110%. The analytical features achieved demonstrated the suitability of this paper and carbon black-based analytical tool for application in agrifood sector, boosting the sustainable management of quality control in food commodities.



中文翻译:

可持续的纸质丝网印刷散装炭黑改性法电化学测定辣椒中的辣椒素

《 2030年议程》报告的可持续发展目标确立了农业食品,健康和气候变化等不同领域的全球挑战。智能电化学设计的传感器可以支持某些目标的实现,这要归功于非熟练人员使用经济高效的仪器在现场检测分析物的能力。在此,我们报告了第一个办公用纸基传感器,该传感器是通过将成本有效的技术(即丝网印刷和蜡染)与廉价的材料(即纸和炭黑)相结合而制成的,以可持续地检测辣椒素。通过使用微分脉冲和方波伏安法,在接近0.5 V的电位下检测到辣椒素,并观察到0.20至8.0μmolL -1和0.080至6.0μmolL -1的线性范围,灵敏度为1.11 A mol-1  L和1.97 A mol -1  L,检测极限分别为0.085μmolL -1和0.028μmolL -1。通过回收率研究评估了塔巴斯科酱,黑胡椒和红辣椒中辣椒素的含量,从而评估了纸基设备的准确性,得出的回收率范围为93%至110%。所获得的分析特性证明了本文和基于炭黑的分析工具在农业食品领域中的适用性,从而促进了食品中质量控制的可持续管理。

更新日期:2020-07-16
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