Multi-product calibration model for soluble solids and water content quantification in Cucurbitaceae family, using visible/near-infrared spectroscopy

Abstract

Latest studies on Vis/NIR research mostly focused on particular products. Developing a model for a specific product is costly and laborious. This study utilized visible/near-infrared (Vis/NIR) spectroscopy to evaluate the quality attributes of six products of the Cucurbitaceae family, with a single estimation model, rather than individually. The study made use of six intact products, zucchini, bitter gourd, ridge gourd, melon, chayote, and cucumber. Subsequently, the multi-product models for soluble solids content (SSC) and water content were created using partial least squares regression (PLSR) method. The PLSR modeling produced satisfactory results, the coefficient of determination in calibration set (R 2 c) was discovered to be 0.95 and 0.92, while the root mean squares error of calibration (RMSEC) was found to be 0.41 and 0.61, for SSC and water content, respectively. These models were able to accurately predict the unknown samples with coefficient of determination in prediction set (R 2 p) of 0.96 and 0.92, as well as root mean squares error of prediction (RMSEP) of 0.32 and 0.58, while the ratio of prediction to deviation (RPD) was found to be 5.68 and 3.69 for SSC and water content, respectively. This shows Vis/NIR spectroscopy was able to quantify the SSC and water content of six products of Cucurbitaceae family, using a single model.

Enhanced visible/near-infrared spectroscopic data for prediction of quality attributes in Cucurbitaceae commodities

“…Absorbance spectra (raw) usually contain noise which can reduce the accuracy of the interpretation of the spectra data. Therefore, spectra preprocessing is needed to improve the spectra data prior to the development stage of the calibration model [ 5 ]. The use of preprocessing spectra such as the second derivative savitzky-golay is effective in clarifying peaks and valleys in the original (raw) spectra.…”

Determination of green and red spinach microgreen chlorophyll content using visible spectroscopy and wavelength selection

“…The wavelength reveals that visible blue light absorbs primarily by chlorophyll b. According to [29], the Soret band maxima for chlorophyll a are 428 nm, 409 nm, 379 nm, and 326 nm, while chlorophyll b has a maxima Soret band on the wavelength of 453 nm and 429 nm. This phenomenon is precisely what causes the effect of chlorophyll b to be so prominent in measurements of total chlorophyll.…”

Effect of red dragon fruit (Hylocereus polyrhizus) peel and pulp on jelly candy chemical composition and acceptance

“…As reported in other study [25] that heating affects sugar content. The presence of heating will cause the breakdown of glycosidic bonds which causes non-reducing sugars to be broken down into reducing sugar [26] 3.4. Organoleptic Test Organoleptic testing of jelly candy with essential ingredients from the pulp and peel of dragon fruit is one of the methods to determine the level of panelist acceptance of the jelly candy products produced.…”