STUDY ON GENETIC ALGORITHMS-BASED NIR WAVELENGTH SELECTION FOR DETERMINATION OF SOLUBLE SOLIDS CONTENT IN FUJI APPLES

2008 ◽  
Vol 31 (2) ◽  
pp. 232-249 ◽  
Author(s):  
BOLIN SHI ◽  
BAOPING JI ◽  
DAZHOU ZHU ◽  
ZHENHUA TU ◽  
ZHAOSHEN QING
Keyword(s):  
Genetic Algorithms ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Wavelength Selection ◽  
Selection For ◽  
Solids Content

Spectral Pretreatment and Wavelength Selection for Soluble Solids Content in Gannan Navel Orange

2010 ◽  
Vol 8 (1) ◽  
pp. 140-144 ◽  
Author(s):  
Xudong Sun ◽  
Hailiang Zhang ◽  
Zhiyuan Gong ◽  
Aiguo Ouyang ◽  
Jianmin Zhou ◽  
...  
Keyword(s):  
Soluble Solids ◽  
Navel Orange ◽  
Soluble Solids Content ◽  
Wavelength Selection ◽  
Selection For ◽  
Solids Content ◽  
Gannan Navel Orange

Comparison of Multivariate Calibrations for the Determination of Soluble Solids Content of Tea Beverage Using UV-VIS-NIR Spectroscopy

2012 ◽  
Vol 236-237 ◽  
pp. 83-88 ◽  
Author(s):  
Wei Qiang Luo ◽  
Hai Qing Yang ◽  
Wei Cheng Dai
Keyword(s):  
Least Squares ◽  
Multivariate Calibration ◽  
Fiber Type ◽  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Soluble Solids Content ◽  
Solids Content

Ultra-violet, visible and near infrared (UV-VIS-NIR) spectroscopy combined with chemometrics was investigated for fast determination of soluble solids content (SSC) of tea beverage. In this study, a total of 120 tea samples with SSC range of 4.0-9.5 ºBrix were tested. Samples were randomly divided for calibration (n=90) and independent validation (n=30). Spectra were collected by a mobile fiber-type UV-VIS-NIR spectrophotometer in transmission mode with recorded wavelength range of 203.64-1128.05 nm. Various calibration approaches, i.e., principal components analysis (PCA), partial least squares (PLS) regression, least squares support vector machine (LSSVM) and back propagation artificial neural network (BPANN), were investigated. The combinations of PCA-BPANN, PCA-LSSVM, PLS-BPANN and PLS-LSSVM were also investigated to build calibration models. Validation results indicated that all these investigated models achieved high prediction accuracy. Especially, PLS-LSSVM achieved best performance with mean coefficient of determination (R2) of 0.99, root-mean-square error of prediction (RMSEP) of 0.12 and residual prediction deviation (RPD) of 15.16. This experiment suggests that it is feasible to measure SSC of tea beverage using UV-VIS-NIR spectroscopy coupled with appropriate multivariate calibration, which may allow using the proposed method for off-line and on-line quality supervision in the production of soft drink.

scholarly journals Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Lin Zhang ◽  
Baohua Zhang ◽  
Jun Zhou ◽  
Baoxing Gu ◽  
Guangzhao Tian
Keyword(s):  
Fourier Transform ◽  
Least Squares ◽  
Near Infrared ◽  
Scatter Correction ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Biological Variability ◽  
Wavelength Selection ◽  
Calibration Models ◽  
Solids Content

Uninformative biological variability elimination methods were studied in the near-infrared calibration model for predicting the soluble solids content of apples. Four different preprocessing methods, namely, Savitzky-Golay smoothing, multiplicative scatter correction, standard normal variate, and mean normalization, as well as their combinations were conducted on raw Fourier transform near-infrared spectra to eliminate the uninformative biological variability. Subsequently, robust calibration models were established by using partial least squares regression analysis and wavelength selection algorithms. Results indicated that the partial least squares calibration models with characteristic variables selected by CARS method coupled with preprocessing of Savitzky-Golay smoothing and multiplicative scatter correction had a considerable potential for predicting apple soluble solids content regardless of the biological variability.

scholarly journals Determination of soluble solids content in Prunus avium by Vis/NIR equipment using linear and non-linear regression methods

2020 ◽  
Vol 17 (4) ◽  
pp. e0207
Author(s):  
Victoria Lafuente ◽  
Luis J. Herrera ◽  
Jesús Val ◽  
Razvan Ghinea ◽  
Angel I. Negueruela
Keyword(s):  
Prunus Avium ◽  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Regression Methods ◽  
Variable Selection Method ◽  
Different Seasons ◽  
Solids Content ◽  
Calibration Equations

Aim of study: Developing models to determine soluble solids content (SSC) in cherry trees by means of Vis/NIR spectroscopy.Area of study: The Spanish Autonomous Community of Aragón (Spain).Material and methods: Vis/NIR spectroscopy was applied to Prunus avium fruit ‘Chelan’ (n=360) to predict total SSC using a range 400-2420 nm. Linear (PLS) and nonlinear (LSSVM) regression methods were applied to establish prediction models.Main results: The two regression methods applied obtained similar results (Rcv2=0.97 and Rcv2=0.98 respectively). The range 700-1060 nm attained better results to predict SSC in different seasons. Forty variables selected according to the variable selection method achieved Rcv2 value, 0.97 similar than full range.Research highlights: The development of this methodology is of great interest to the fruit sector in the area, facilitating the harvest for future seasons. Further work is needed on the development of the NIRS methodology and on new calibration equations for other varieties of cherry and other species.

scholarly journals Postharvest durability of tomatoes with PVA covering

2020 ◽  
Vol 38 (2) ◽  
pp. 160-165
Author(s):  
Manuella Candéo ◽  
Maria Helene G Canteri ◽  
Dayana Carla de Macedo ◽  
Evaldo T Kubaski ◽  
Sergio M Tebcherani
Keyword(s):  
Mass Loss ◽  
Soluble Solids ◽  
Postharvest Quality ◽  
Soluble Solids Content ◽  
Total Soluble Solids ◽  
Red Color ◽  
Solids Content ◽  
Alternative Solutions

ABSTRACT Plastic packaging from petroleum derives used in the food industry represents serious environmental problems. Alternative solutions to these problems consist of the development of biodegradable packaging, such as films and edible coatings including the polyvinyl alcohol (PVA). In this research we evaluated the effect of the PVA application by two different techniques aiming to increase shelf life of ripe tomatoes, cultivar Carmen. The methodology of this study consisted in covering tomatoes with a PVA solution and also with PVA impregnated tracing paper. The different fruit lots were kept in polystyrene trays for 19 days on a laboratory bench at a controlled temperature of 25±3ºC. The fruit analyzes were compared to the control fruits without any treatment, being evaluated firmness, pH, titratable total acidity, mass loss, total soluble solids content, water activity and color determination of fruit surface. Among the different treatments, the PVA coating applied directly to the fruits contributed to control the firmness and the mass loss, as well as this treatment influenced the total soluble solids content, the luminosity and the red color of fruits with statistical difference compared to the control and covered with tracing paper (with or without PVA). The PVA coating solution applied directly on the fruits contributed to maintain the postharvest quality of the ripe tomatoes.

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