Ultrasensitive determination of allura red in food samples based on green-emissive carbon nanodots

Hu, Qin; Sun, Weinan; Xiao, Lixia; Yang, Zhenquan; Yang, Ming; Gong, Xiaojuan; Han, Jie

doi:10.1007/s11694-022-01564-2

Food Measure

2022

DOI: 10.1007/s11694-022-01564-2

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Ultrasensitive determination of allura red in food samples based on green-emissive carbon nanodots

Qin Hu

Weinan Sun

Lixia Xiao

et al.

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Cited by 5 publications

(1 citation statement)

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“…3,6 Given the importance of human health, it is crucial to use a fast, sensitive, and precise method to determine the presence of Allura red dye. Several techniques have been employed so far for the determination of AR, including fluorescence, 7,8 UV-vis spectrophotometry, 9 high-performance liquid chromatography coupled with different detectors such as ultraviolet-visible and diode array (HPLC-UV-DAD), 10 and flow injection analysis with multiple pulse amperometric detection (FIA-MPA). 11 Nevertheless, these techniques possess some limitations that restrict their extensive use.…”

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confidence: 99%

Fast on-Site and Highly Sensitive Determination of Allura Red Using a Portable Electrochemical Platform Based on Poly(pyrrole) and Bimetallic Nanocomposites Anchored on Reduced Graphene Oxide

Georgescu-State,

van Staden,

Stefan-van Staden

et al. 2024

J. Electrochem. Soc.

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Allura red (AR) is classified as an azo dye and is often used as a beverage and food additive. Nevertheless, the need for dose management of Allura red becomes especially important owing to the potential damage caused by the azo structure to the human body and the environment. In order to combat these problems, a novel portable electrochemical platform using a screen-printed carbon electrode (SPCE) that has been modified with poly(pyrrole) and Co-Ni bimetallic nanocomposites anchored on reduced graphene oxide (Co-Ni@rGO) was developed. The purpose of this platform is to enable rapid on-site and very sensitive determination of Allura red from carbonated energy beverages and water samples. Under ideal experimental conditions, the proposed platform's response exhibits a notable linear relationship with the concentration of Allura red within the range of 0.0001-10 µM, having a very low limit of detection (LOD) of 0.03 nM and a high sensitivity of 24.62 μA μM-1 cm-2. Furthermore, the PPy/Co-Ni@rGO/SPCE platform exhibited favorable characteristics in terms of reproducibility, repeatability, stability, and selectivity for the quantification of Allura red. Consequently, the developed platform was capable of practically and effectively determining the Allura red dye content from various real samples, showing satisfactory recovery rates.

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confidence: 99%

Fast on-Site and Highly Sensitive Determination of Allura Red Using a Portable Electrochemical Platform Based on Poly(pyrrole) and Bimetallic Nanocomposites Anchored on Reduced Graphene Oxide

Georgescu-State,

van Staden,

Stefan-van Staden

et al. 2024

J. Electrochem. Soc.

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Supersensitive detection of auramine O in food and drug samples by using carbon dots as sensing reagents

et al. 2023

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Highly sensitive voltammetric determination of Allura Red (E129) food colourant on a planar carbon fiber sensor modified with shungite

Bukharinova

Khamzina

Stozhko

et al. 2023

Analytica Chimica Acta

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Ultrasensitive determination of allura red in food samples based on green-emissive carbon nanodots

Cited by 5 publications

References 38 publications

Fast on-Site and Highly Sensitive Determination of Allura Red Using a Portable Electrochemical Platform Based on Poly(pyrrole) and Bimetallic Nanocomposites Anchored on Reduced Graphene Oxide

Fast on-Site and Highly Sensitive Determination of Allura Red Using a Portable Electrochemical Platform Based on Poly(pyrrole) and Bimetallic Nanocomposites Anchored on Reduced Graphene Oxide

Supersensitive detection of auramine O in food and drug samples by using carbon dots as sensing reagents

Highly sensitive voltammetric determination of Allura Red (E129) food colourant on a planar carbon fiber sensor modified with shungite

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