Determination of the Soluble Solids Content in Korla Fragrant Pears Based on Visible and Near-Infrared Spectroscopy Combined With Model Analysis and Variable Selection

Abstract

The non-destructive detection of soluble solids content (SSC) in fruit by near-infrared (NIR) spectroscopy has a good application prospect. At present, the application of portable devices is more common. The construction of an accurate and stable prediction model is the key for the successful application of the device. In this study, the visible and near-infrared (Vis/NIR) spectra of Korla fragrant pears were collected by a commercial portable measurement device. Different pretreatment methods were used to preprocess the raw spectra, and the partial least squares (PLS) model was constructed to predict the SSC of pears for the determination of the appropriate pretreatment method. Subsequently, PLS and least squares support vector machine (LS-SVM) models were constructed based on the preprocessed full spectra. A new combination (BOSS-SPA) of bootstrapping soft shrinkage (BOSS) and successive projections algorithm (SPA) was used for variable selection. For comparison, single BOSS and SPA were also used for variable selection. Finally, three types of models, namely, PLS, LS-SVM, and multiple linear regression (MLR), were constructed based on different input variables. Comparing the prediction performance of all models, it showed that the BOSS-SPA-PLS model based on 17 variables obtained the best SSC assessment ability with rp of 0.94 and RMSEP of 0.27 °Brix. The overall result indicated that portable measurement with Vis/NIR spectroscopy can be used for the detection of SSC in Korla fragrant pears.

Determination of soluble solids content of multiple varieties of tomatoes by full transmission visible-near infrared spectroscopy

“…The representative tomato samples obtained during this collection process are visually depicted in Figure 1 . Moreover, in order to mitigate potential temperature-induced fluctuations that could influence the precision of our prediction model, the harvested tomatoes were transported to our laboratory facility and placed for a 24-hour period at a temperature of 20°C, with a relative humidity level of 60%, prior to the acquisition of spectral and SSC data ( Yang X. et al., 2022 ).…”

Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

“…Then, the spectral data were collected and stored on a computer [ 85 ]. The NIR equipment has the advantages of fast and non-destructive operation and online real-time detection, and can achieve quality tracking from harvest to postharvest storage [ 86 ]. And it is widely used in the quality assessment of fresh food such as beef, mangos, and peaches [ 87 , 88 , 89 ].…”

Portable NIR spectroscopy: the route to green analytical chemistry

“… Yang et al (2022) and ( Yu et al, 2021b ) determined soluble solids content in pears based on VIS-NIR and model analysis and variable selection. Wu et al (2021) .…”

“…Pissar et al ( 2021), , (Guo et al, 2020) and (Fan et al, 2020) described the usefulness of a portable NIR to determine apple quality. Yang et al (2022) and (Yu et al, 2021b) determined soluble solids content in pears based on VIS-NIR and model analysis and variable selection. Wu et al (2021).…”