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Some of the next articles are maybe not open access.

Soluble solids content is positively correlated with phosphorus content in ripening strawberry fruits

Scientia Horticulturae, 2015
Abstract Soluble solids content (SSC) is one of the main parameters for evaluating the nutritive value of strawberry ( Fragaria  ×  ananassa ), which is affected by a number of factors including genetics, environmental conditions and cultivation practices.
Hongyan Dai, Zhihong Zhang
exaly   +2 more sources

Research Progress of Soluble Solids Content in Tomato

Molecular Plant Breeding, 2023
Hui Zhang   +7 more
openaire   +2 more sources

Non-destructive measurement of soluble solids content of three melon cultivars using portable visible/near infrared spectroscopy

Biosystems Engineering, 2019
In this study, a non-destructive method using visible/near infrared (Vis/NIR) spectroscopy was investigated to predict the soluble solids content (SSC) of intact melons (Cucumis melo L.) cv. ‘Manao’, ‘Jinhongbao’, ‘Xizhoumi’.
Donghai Han
exaly   +2 more sources

Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method

Postharvest Biology and Technology, 2019
The long-term performance of a near-infrared (NIR) calibration model for soluble solids content (SSC) prediction has been investigated using apples with biological variability collected from 2012 to 2018. The NIR spectrum in the range of 4000–10,000 cm−1
Shuxiang Fan, Jiangbo Li, Xi Tian
exaly   +2 more sources

Predicting pear (cv. Clara Frijs) dry matter and soluble solids content with near infrared spectroscopy

open access: yesLWT - Food Science and Technology, 2014
Regression models for predicting preharvest dry matter (DM) and soluble solids content (SSC), based on two spectral ranges (680-1000 nm and 1100-2350 nm), were compared. Models based on longer NIR spectra were more successful for both parameters (DM/SSC:
Sergey Kucheryavskiy
exaly   +2 more sources

Prediction of soluble solids content using near-infrared spectra and optical properties of intact apple and pulp applying PLSR and CNN.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2023
Soluble solids content (SSC) is one of the most important internal quality attributes of fruit and could be predicted using near-infrared (NIR) spectra and optical properties. Partial least squares regression (PLSR) is a conventional regression method in
Shuochong Zeng   +5 more
semanticscholar   +1 more source

Improving the prediction performance of soluble solids content (SSC) in kiwifruit by means of near-infrared spectroscopy using slope/bias correction and calibration updating.

Food Research International, 2023
Soluble solids content (SSC) is particularly important for kiwifruit, as it not only determines its flavor, but also helps assess its maturity. Visible/near-infrared (Vis/NIR) spectroscopy has been widely used to evaluate the SSC of kiwifruit. Still, the
S. Tian, Wei Liu, Huirong Xu
semanticscholar   +1 more source

Non-destructive and fast method of mapping the distribution of the soluble solids content and pH in kiwifruit using object rotation near-infrared hyperspectral imaging approach

, 2021
This work aimed to offer a non-destructive and fast approach to visualizing the soluble solids content (SSC) and acidity (pH) of the whole kiwifruit. Most of the visible-near-infrared spectral imaging techniques used in postharvest fruit and vegetables ...
Te Ma   +4 more
semanticscholar   +1 more source

Online detection of soluble solids content and maturity of tomatoes using Vis/NIR full transmittance spectra

, 2021
To meet the demand for high-quality tomatoes of different commercial purposes, the optimal models for predicting soluble solids content (SSC)and classifying maturities of tomatoes were developed simultaneously based on the Vis-NIR spectra collected by an
Yifeng Huang   +7 more
semanticscholar   +1 more source

Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy

, 2021
Visible–near infrared (Vis–NIR) spectroscopy is a rapid and nondestructive method used to characterize organic compounds in postharvest fruit and vegetable assessment.
Te Ma, Yu Xia, T. Inagaki, S. Tsuchikawa
semanticscholar   +1 more source

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