Prediction of α-Solanine and α-Chaconine in Potato Tubers from Hunter Color Values and VIS/NIR Spectra

Abstract

The glycoalkaloids contents of potato tubers are usually measured by the destructive analysis that consumes time and requires expensive high-performance equipment. This study was carried out to determine the possibility of nondestructive estimation of α-solanine and α-chaconine content in potato tubers. Visible/near-infrared (VIS/NIR) spectra, color values, and the reference α-solanine and α-chaconine were measured from 180 tubers of ‘Atlantic’ and ‘Trent’ potato cultivars with eight replications at two-week intervals during the storage up to ten weeks. The partial least square (PLS) regression method was used to develop models correlating color and spectra data to the measured reference data. Regression coefficient (r) between color variables (Hunter a ∗ , a ∗ / b ∗ , and ( a ∗ / b ∗ )2) and the actual measured values of a-solanine and a-chaconine content were 0.74, 0.62, and 0.62 and 0.70, 0.58, and 0.57, respectively, for the prediction set. Concurrently, equations were developed from color variables in multiple regression with r-values of 0.76 and 0.71 for α-solanine and α-chaconine, respectively. Additionally, the selected PLS model of VIS/NIR spectra had promising predictive power for α-solanine and α-chaconine with r-values of 0.68 and 0.63, respectively, between measured and predicted samples. Taken together, although it requires further studies to improve the prediction power of the developed models, the results of this study revealed the possibility of using VIS/NIR spectra and color variables for the prediction of α-solanine and α-chaconine contents from intact unpeeled potato tubers with chemical-free, fast, and cheap assessment methods.

A Review on Greening and Glycoalkaloids in Potato Tubers: Potential Solutions

“…35 Babazadeh et al 36 developed laser light backscattering imaging (LLBI) to detect the glycoalkaloid content of potato tubers with high accuracy. Similarly, the vis/NIR spectrometry method was used by Tilahun et al 37 to study the α-chaconine and α-solanine contents of unpeeled potatoes. Among the methods discussed here, the MAE is the fastest and most efficient method of TGA extraction compared to other liquid/ solid extraction methods.…”

Prediction of tannin content and quality parameters in astringent persimmons from visible and near-infrared spectroscopy

“…In accordance with Tilahun et al. (2020 ; Tilahun et al., 2018 ), each individual intact fruit of the ‘Cheongdo-Bansi’ and ‘Daebong’ cultivars were scanned in the transmittance mode in the spectral region of 500-1100 nm using three (12 V/100 W) halogen lamps as a source of VNIR light.…”

“…Therefore, having a reliable, low-cost, fast, and easy-to-implement method for tannin determination in persimmons is a useful tool for astringency management during postharvest handling and distribution. Predictive models developed by using visible and near-infrared (VNIR) spectroscopy and color variables are among the most common techniques currently used for the prediction of secondary metabolites such as lycopene and β-carotene in tomatoes and α-solanine and α-chaconine in potatoes ( Tilahun et al., 2018 ; Tilahun et al., 2020 ). The interaction between VNIR range spectra and the organic molecules that make up a compound helps to obtain qualitative and quantitative information from the spectra ( Pasquini, 2003 ; Tilahun et al., 2020 ).…”

Quickly determination of sesame lignans in sesame oil using a portable near-infrared spectrometer

“…Among them, the application of portable NIR spectroscopy in the quantitative detection of substances is very broad due to its maturity, convenience, and low cost, and a large number of research reports have been accumulated. NIR spectroscopy is widely used in various fields of food, such as cereals and tubers (Aykas et al, 2020;Chadalavada et al, 2022;Su et al, 2020;Tilahun et al, 2020), animal foods (Diaz-Olivares et al, 2020;Lin et al, 2010;Rahim & Ghazali, 2012), legumes and their products (Natcha & Panmanas, 2014;Plans et al, 2014;Szigedi et al, 2013), vegetables and fruits (Malvandi et al, 2022;Minas et al, 2021;Sirisomboon, 2018), and beverages (Wang et al, 2022) etc. Zhenzhen Xia (Xia et al, 2020) and others have verified the feasibility of NIR spectroscopy technology for the prediction of sesamin and sesamolin in sesame seeds.…”