scholarly journals Pear quality characteristics by Vis / NIR spectroscopy

2012 ◽  
Vol 84 (3) ◽  
pp. 853-863 ◽  
Author(s):  
Nicácia P. Machado ◽  
José C. Fachinello ◽  
Simone P. Galarça ◽  
Débora L. Betemps ◽  
Mateus S. Pasa ◽  
...  
Keyword(s):  
Linear Regression ◽  
Nir Spectroscopy ◽  
Quality Characteristics ◽  
Soluble Solids ◽  
Non Destructive ◽  
Linear Regressions ◽  
Qualitative Characteristics ◽  
Calibration Equations ◽  
Non Destructive Techniques

Recently, non-destructive techniques such as the Vis / NIR spectroscopy have been used to evaluate the characteristics of maturation and quality of pears. The study aims to validate the readings by the Vis / NIR spectroscopy as a non-destructive way to assess the qualitative characteristics of pear cultivars 'Williams', 'Packams' and 'Carrick', produced according to Brazilian conditions. The experiment was conducted at the Pelotas Federal University, UFPel, in Pelotas / RS, and the instrument used to measure the fruit quality in a non-destructive way was the NIR- Case spectrophotometer (SACMI, Imola, Italy). To determine pears' soluble solids (SS) and pulp firmness (PF), it was established calibration equations for each variety studied, done from the evaluations obtained by a non-destructive method (NIR-Case) and a destructive method. Further on, it was tested the performance of these readings by linear regressions. The results were significant for the soluble solids parameter obtained by the Vis / NIR spectroscopy; however, it did not achieve satisfactory results for the pear pulp firmness of these cultivars. It is concluded that the Vis / NIR spectroscopy, using linear regression, allows providing reliable estimates of pears' quality levels, especially for soluble solids.

scholarly journals Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less

2015 ◽  
Vol 75 (1) ◽  
pp. 152-156 ◽  
Author(s):  
MC. Souza ◽  
CL. Amaral
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Leaf Development ◽  
Linear Equations ◽  
Accurate Estimate ◽  
Area Estimation ◽  
Leaf Dimensions ◽  
Non Destructive ◽  
Linear Regressions ◽  
Very High

Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high.

Non-destructive measurement of firmness and soluble solids content in bell pepper using NIR spectroscopy

2009 ◽  
Vol 94 (3-4) ◽  
pp. 267-273 ◽  
Author(s):  
Pathompong Penchaiya ◽  
Els Bobelyn ◽  
Bert E. Verlinden ◽  
Bart M. Nicolaï ◽  
Wouter Saeys
Keyword(s):  
Nir Spectroscopy ◽  
Bell Pepper ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Solids Content ◽  
Destructive Measurement ◽  
Non Destructive

Analysis of Black Wattle (Acacia mearnsii De Wild) Bark by Near Infrared Spectroscopy

Holzforschung ◽  
2003 ◽  
Vol 57 (5) ◽  
pp. 527-532 ◽  
Author(s):  
L. R. Schimleck ◽  
Y. Yazaki
Keyword(s):  
Near Infrared ◽  
Rapid Assessment ◽  
Nir Spectroscopy ◽  
Hot Water ◽  
Soluble Solids ◽  
Tannin Content ◽  
Acacia Mearnsii ◽  
Considerable Potential ◽  
Black Wattle

Summary The analysis of two sets of Acacia mearnsii De Wild (Black Wattle) samples by near infrared (NIR) spectroscopy is reported. Set 1 samples were characterised in terms of hot water extractives, Stiasny value and polyflavanoid content. Set 2 samples were characterised by nine different parameters, including tannin content. NIR spectra were obtained from the milled bark of all samples and calibrations developed for each parameter. Calibrations developed for hot water extractives and polyflavanoid content (set 1) gave very good coefficients of determination (R2) and performed well in prediction. Set 2 calibrations were generally good with total and soluble solids, tannin content, Stiasny value-2 and UV-2, all having R2 greater than 0.8. Owing to the small number of set 2 samples, no predictions were made using the calibrations. The strong relationships obtained for many parameters in this study indicates that NIR spectroscopy has considerable potential for the rapid assessment of the quality of extractives in A. mearnsii bark.

NON-DESTRUCTIVE MEASUREMENT OF ACIDITY, SOLUBLE SOLIDS, AND FIRMNESS OF JONAGOLD APPLES USING NIR-SPECTROSCOPY

1998 ◽  
Vol 41 (4) ◽  
pp. 1089-1094 ◽  
Author(s):  
J. Lammertyn ◽  
B. Nicolaï ◽  
K. Ooms ◽  
V. De Smedt ◽  
J. De Baerdemaeker
Keyword(s):  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Destructive Measurement ◽  
Non Destructive

Synchrotron Radiation and Neutron Diffraction Study of Hydroxyapatite in Bone at the Interface with Implant

2010 ◽  
Vol 638-642 ◽  
pp. 748-753
Author(s):  
Abdelilah Benmarouane ◽  
Helene Citterio-Bigot ◽  
Guillaume Geandier ◽  
T. Hansen ◽  
Pierre Millet ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Synchrotron Radiation ◽  
Neutron Diffraction ◽  
Neutron Diffraction Study ◽  
Good Prediction ◽  
Direct Connection ◽  
Implant Surface ◽  
Non Destructive ◽  
Non Destructive Techniques

The quantitative evaluation of the preferential orientation of crystallites by the synchrotron and neutron diffraction techniques during regeneration at the interface with implant gives a good prediction of the mechanical properties of the bone. During the process of bone healing after implantation, the speed and quality of regeneration is affected by the nature of the implant surface. Titanium alloy (Ti-Al-4V) is currently coating with the hydroxyapatite (HAp), Ca10(PO4)6 (OH)2, in order to obtain a stable and functional direct connection between bone and implant. At the interface implant-bone, the new bone reconstituted after implantation must have the same mechanical properties of bone in order to accept the implant. Therefore, it is necessary to study by means of two non destructive techniques: neutron diffraction and synchrotron radiation, the crystal growth and texture of this new bone crystals reconstituted at the interface.

Non-Destructive Measurement of Soluble Solids Content and Vitamin C in Gannan Navel Oranges by Vis-NIR Spectroscopy

2011 ◽  
Vol 9 (3) ◽  
pp. 1133-1139 ◽  
Author(s):  
Yande Liu ◽  
Xudong Sun ◽  
Xiaoling Dong ◽  
Aiguo Ouyang ◽  
Rongjie Gao ◽  
...  
Keyword(s):  
Vitamin C ◽  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Solids Content ◽  
Destructive Measurement ◽  
Non Destructive

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 Pepino Dulce (Solanum muricatum Ait.) Quality Characteristics Respond to Nitrogen Nutrition and Salinity

1993 ◽  
Vol 118 (1) ◽  
pp. 86-91 ◽  
Author(s):  
D. Pluda ◽  
H.D. Rabinowitch ◽  
U. Kafkafi
Keyword(s):  
Ascorbic Acid ◽  
Fruit Quality ◽  
Nitrogen Nutrition ◽  
Fruit Size ◽  
Chloride Concentration ◽  
Fruit Shape ◽  
Quality Characteristics ◽  
Chloride Ions ◽  
Soluble Solids

The effect of fertigation with N-NO3 at 3, 6, or 12 mmol·liter-1, and 0, 3, or 6 dS·m-1 chloride ions on fruit quality of three pepino dulce selections was studied. Genotypes varied considerably in their response to mineral treatments in most quality characteristics. Variation in fruit size was greatly reduced when clusters were thinned to three fruit. Increasing chloride concentration in the nutrient soltuion reduced fruit size significantly and ascorbic acid concentration relative to the control, but fruit shape was not affected. Increases in NaCl salt, but not N concentration, resulted in significantly higher soluble solids concentration (SSC) and firmness in all three genotypes. Electrical conductivity, acidity, and pH were significantly affected by the two mineral treatments in the first trial, but remained unchanged in the second season. Fruit firmness, SSC, and acidity declined by 12% to 30%, whereas ascorbic acid content increased during 14 days storage at room temperature. These changes depended on genotype and environment during fruit growth and development. Organoleptic ratings were highest in salt-treated plants. Fruit quality of pepino dulce may be manipulated by crop management, thus improving its acceptability in Western markets.

scholarly journals Implementation of Non Destructive FTNIR Method for Quick Estimation of Peanut Quality Based on FFA and Peroxide Value

2021 ◽  
Author(s):  
Rakesh Kumar Kumar Raigar ◽  
Shubhangi Srivast ◽  
Hari Niwas Mishra
Keyword(s):  
Peroxide Value ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Model Building ◽  
Nir Spectroscopy ◽  
Quality Parameters ◽  
Calibration Model ◽  
Peanut Kernel ◽  
Non Destructive

Abstract The possibility of rapid estimation of moisture, protein, fat, free fatty acid (FFA), and peroxide value (PV) content in peanut kernel was studied by Fourier transform near-infrared spectroscopy (FTNIR) in the diffuse reflectance mode along with chemometric technic. The moisture, fat and protein of fresh and damaged seeds of peanuts ranging from 3 to 9 %, 45 to 57 % and 23 to 27 % respectively, were used for the calibration model building based on partial least squares (PLS) regression. The peanut samples had major peaks at wavenumbers 53.0853, 4954.98, 4464.03, 4070.85, 74.75.63, 8230.21, and 6178.13 in per cm. First and second derivate mathematical preprocessing was also applied in order to eliminate multiple baselines for different chemical quality parameters of peanut. The FFA had the lowest value of calibration and validation errors (0.579 and 0.738) followed by the protein (0.736 and 0.765). The quality of peanut seeds with lowest root mean square error of cross validation of 0.76 and maximum correlation coefficient (R2) of 96.8 was obtained. The comprehensive results signify that FT-NIR spectroscopy can be used for rapid, non-destructive quantification of quality parameters in peanuts.

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