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Abstract
To perform accurate and synchronous detection of the soluble solid contents (SSC) in fresh jujubes at different stages of maturity, hyperspectral imaging was used to establish robust models. The combined data constituting four maturation stages were used to build the grid-search least squares support vector machine (GS-LS-SVM) model. The determination coefficient (Rp2), the root-mean-square error (RMSEP), and the residual predictive deviation (RPD) of the prediction set for samples of the overall stages were 0.98, 1.10%, and 7.85, respectively. Furthermore, a successive projections algorithm (SPA) was used to extract the characteristic wavelengths of the combined data. An artificial bee colony (ABC) algorithm (for the prediction set, Rp2 = 0.98, RMSEP = 1.19%, RPD = 7.25) was used to improve the SPA-LS-SVM model, which was better than the SPA-GS-LS-SVM model (for the prediction set, Rp2 = 0.98, RMSEP = 1.24%, RPD = 6.96). Lastly, visualization of the SSC distribution map was performed based on the SPA-ABC-LS-SVM model, which clearly showed that the SSC gradually increased during maturation. The results indicated that it was realistic to construct a detection model of the multimaturity stage. This research also demonstrated that the combination of hyperspectral imaging and the ABC had good application values in the testing of agricultural products.
Highlights
Jujubes are rich in many compounds, such as sugar, vitamins, amino acids, and minerals
Because of the advantage of image-spectrum merging, hyperspectral imaging (HSI) technology can be used to obtain the information from any point in a 3D space, which is impossible Journal of Analytical Methods in Chemistry to achieve with a traditional spectrometer
All the samples were placed under laboratory conditions for 4 hours to air-dry them and restore them to an indoor temperature and humidity environment. e samples were screened. e color, size, and shape of the fruits were consistent to reduce the impact of individual differences on the testing results between samples from the same maturity stage, and heterocarpous and damaged fruits were removed
Summary
Jujubes are rich in many compounds, such as sugar, vitamins, amino acids, and minerals. Erefore, the detection of the SSC in fresh jujubes during maturation has an important value in terms of increasing the added value and meeting the ever-increasing consumer demand for this fruit. Near-infrared (NIR) spectroscopy (12500–4000 cm−1) has the advantages of fast, nondestructive, and no complicated preprocessing of samples. E mid-infrared (MIR) spectroscopy (4000–400 cm−1) is the main molecular vibration absorption region, which contains large amount of information and good fingerprint characteristics. Compared with MIR, NIR can be and quickly completed by diffuse reflection fiber in spectral acquisition, and has lower instrument cost. It was widely used in the nondestructive testing of food fat, sugar, and other qualities [3, 4]. Because of the advantage of image-spectrum merging, hyperspectral imaging (HSI) technology can be used to obtain the information from any point in a 3D space, which is impossible
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