Detection and discrimination of sulfur dioxide using a colorimetric sensor array

Discrimination and detection of sulfur dioxide residues in foods using a simple colorimetric array have been achieved. The difference maps before and after the reaction showed that the specific color fingerprint was related to the amount of sulfur dioxide. The results of principal component analysis (PCA), hierarchical clustering analysis (HCA) and linear discriminant analysis (LDA) demonstrated that the as-fabricated colorimetric sensor array have good performance for the discrimination of sulfur dioxide and other interferents, as well as different concentrations of sulfur dioxide. Moreover, the array has been successfully applied to determine the concentration of sulfur dioxide residues in real samples and revealed good accuracy, precision and repeatability.

Automated summary

Discrimination and detection of sulfur dioxide residues in foods have been achieved using a simple colorimetric array. The results demonstrate the good performance of the array in distinguishing sulfur dioxide and other interferents, as well as different concentrations of sulfur dioxide. The array has also been successfully applied to determine the concentration of sulfur dioxide residues in real samples, showing good accuracy, precision, and repeatability.