Visual colorimetric label for real-time monitoring of SO2 concentration change in grape and mango during storage

Sulfur dioxide (SO<sub>2</sub>) is widely utilized as a preservative in food transportation and storage, but excessive consumption poses health risks. This study presents a novel and efficient method for the real-time detection of SO<sub>2</sub> using a sensor named TK, synthesized from triphenylamine and 2-cyanomethyl-1-methyl-quinolinium. The core mechanism involves the Michael addition reaction of the CC bond in TK with SO<sub>2</sub>, which disrupts the intramolecular charge transfer process, resulting in a significant color change and a blue shift in fluorescence emission. Methodologically, the sensor's response was quantified by the change in fluorescence intensity ratio (I<sub>425</sub>/I<sub>647</sub>) within a SO<sub>2</sub> concentration range of 0-180 μM. The sensor exhibited high sensitivity and selectivity. For practical application, TK was incorporated into hydrophilic polyvinyl alcohol to create a smart label capable of visual colorimetry and fluorescence analysis. SO<sub>2</sub> concentration changes were monitored by using this label, demonstrated by the color transition from burgundy red to colorless, yielding a maximum color difference (ΔE) of 73.6. The smart label was successfully used to monitor the quality of various grapes and mangoes during long-term storage, providing a reliable, equipment-independent method suitable for household use. The study offers a new tool for enhancing food safety and mitigating health risks associated with SO<sub>2</sub> exposure.

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Publication Details

Journal
Food Chemistry
Published
2024-10-05
DOI
https://doi.org/10.1016/j.foodchem.2024.141530
Citations
5
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.92
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article

Visual colorimetric label for real-time monitoring of SO2 concentration change in grape and mango during storage

Changxiang Hao, Tingting Pan, Nanxin Li, Yanqing Tian et al.
5 citations
Food Chemistry
Advanced Chemical Sensor Technologies
0.92
article

Visual colorimetric label for real-time monitoring of SO2 concentration change in grape and mango during storage

Changxiang Hao, Tingting Pan, Nanxin Li, Yanqing Tian, Jianxiang Liao, Cheng-Wei Jiang, Ziqiang Wang, Liyang Wang, Ziyu Xiao
article en
5 citations

Abstract

Sulfur dioxide (SO<sub>2</sub>) is widely utilized as a preservative in food transportation and storage, but excessive consumption poses health risks. This study presents a novel and efficient method for the real-time detection of SO<sub>2</sub> using a sensor named TK, synthesized from triphenylamine and 2-cyanomethyl-1-methyl-quinolinium. The core mechanism involves the Michael addition reaction of the CC bond in TK with SO<sub>2</sub>, which disrupts the intramolecular charge transfer process, resulting in a significant color change and a blue shift in fluorescence emission. Methodologically, the sensor's response was quantified by the change in fluorescence intensity ratio (I<sub>425</sub>/I<sub>647</sub>) within a SO<sub>2</sub> concentration range of 0-180 μM. The sensor exhibited high sensitivity and selectivity. For practical application, TK was incorporated into hydrophilic polyvinyl alcohol to create a smart label capable of visual colorimetry and fluorescence analysis. SO<sub>2</sub> concentration changes were monitored by using this label, demonstrated by the color transition from burgundy red to colorless, yielding a maximum color difference (ΔE) of 73.6. The smart label was successfully used to monitor the quality of various grapes and mangoes during long-term storage, providing a reliable, equipment-independent method suitable for household use. The study offers a new tool for enhancing food safety and mitigating health risks associated with SO<sub>2</sub> exposure.

Food ChemistryVol. 463(Pt 4)
Southern University of Science and Technology (CN), Guangzhou Quality Supervision, Inspection and Research Institute (CN)
Zero hunger
Openalex Percentile: Top 28%
Advanced Chemical Sensor Technologies
0.92
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