Non-destructive determination and visualisation of insoluble and soluble dietary fibre contents in fresh-cut celeries during storage periods using hyperspectral imaging technique

- The evaluation of IDF and SDF contents of fresh-cut celeries during storage periods.
- The prediction of IDF and SDF contents using HSI by the GA-Si-PLS models.
- The distribution of IDF and SDF were successfully visualized in prediction maps.

The feasibility of using hyperspectral imaging technique to non-destructively determine insoluble dietary fibre (IDF) and soluble dietary fibre (SDF) contents in fresh-cut celeries and visualise their spatial distribution during 28-day storage periods was investigated. Genetic synergy interval partial least square (GA-Si-PLS) algorithm was developed to establish calibration model, which, superior to the PLS and Si-PLS developed models, achieved the prediction performance with Rp of 0.9638 and 0.9756, and RMSEP of 1.180 and 0.336, respectively. The developed GA-Si-PLS models were then applied pixel-wise to visualise the spatial distribution of IDF and SDF contents during storage, which clearly showed that the IDF content increased with storage time, while the SDF content kept decreasing. The study provides the basis for further understanding of the spatial-temporal variation of IDF and SDF contents during storage, demonstrating that HSI could be useful in real-time IDF and SDF contents monitoring in vegetable research and industry.