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.
Authors
- Changxiang Hao
- Tingting Pan (ORCID: https://orcid.org/0000-0002-8120-7104)
- Nanxin Li (ORCID: https://orcid.org/0000-0003-2561-8088)
- Yanqing Tian (ORCID: https://orcid.org/0000-0002-1441-2431)
- Jianxiang Liao (ORCID: https://orcid.org/0000-0001-9769-3365)
- Cheng-Wei Jiang
- Ziqiang Wang (ORCID: https://orcid.org/0000-0002-4676-3447)
- Liyang Wang (ORCID: https://orcid.org/0000-0003-1067-1927)
- Ziyu Xiao
Institutions
- Southern University of Science and Technology (CN)
- Guangzhou Quality Supervision, Inspection and Research Institute (CN)
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