scholarly journals Prediction of wheat and flour Zeleny sedimentation value using NIR technique.

2011 ◽  
Vol 21 (No. 3) ◽  
pp. 91-96 ◽  
Author(s):  
M. Hrušková ◽  
O. Faměra
Keyword(s):  
Protein Content ◽  
Quality Parameters ◽  
Analytical Quality ◽  
Independent Validation ◽  
Predicted Values ◽  
Accuracy Of Prediction ◽  
Calibration Equations ◽  
Pls Method ◽  
Sedimentation Value

Analytical quality parameters of wheat flour prepared from variety and commercial wheat samples (wheat harvest 1998, 1999, 2000 and 2001) were assessed by means of filter spectrograph Inframatic 8620 ASH (moisture and protein content) and Sedi-tester (Zeleny sedimentation value). The spectra of all samples were measured on spectrograph NIRSystem 6500. Calibration equations with cross and independent validation for all analytical characteristics were computed by NIR Software ISI Present WINISI II using MPLS and PLS method. The quality of prediction was evaluated by SEP and r parameters between the measured and the predicted values from cross and independent validation. In case of Inframatic 8620 ASH, validation was realised by NIRPRG software. A statistically significant dependence between the predicted and the measured values of protein content and Zeleny sedimentation (with probability P < 0.01) was determined in both variety and commercial flour sets in the case of cross and independent validation. Better accuracy of prediction was found with NIRSystem 6500. Both important parameters of wheat were successfully predicted by independent validation with nearly the same accuracy.  

scholarly journals Characteristics of fermented dough predicted by using the NIR technique

2011 ◽  
Vol 23 (No. 5) ◽  
pp. 184-189 ◽  
Author(s):  
O. Jirsa ◽  
M. Hrušková
Keyword(s):  
Correlation Coefficient ◽  
Cross Validation ◽  
Rheological Characteristics ◽  
Pls Regression ◽  
Independent Validation ◽  
Predicted Values ◽  
Accuracy Of Prediction ◽  
Gas Volume ◽  
Calibration Equations

Rheological characteristics of wheat doughs prepared from 179 variety and commercial wheat flour samples (crop years 1999, 2001, 2002, 2003 and 2004) were assessed with SJA fermentograph (Sweden). NIR spectra of the samples were measured on the spectrometer NIRSystem 6500. Calibration equations with cross and independent validations for all rheological characteristics were computed by NIR Software ISI Present WINISI II using mPLS/PLS regression and ANN. The quality of prediction was evaluated by means of coefficients of correlation between the measured and the predicted values from cross and independent validation. A statistically significant dependence (with probability higher than 99%) was determined in all mentioned rheological characteristics in the case of cross-validation. The results suggested the possibility of prediction particularly for the fermentation gas volume parameter, where a high correlation was achieved (r = 0.888). The accuracy of prediction by independent validation was not found on such a satisfactory level. For the sets of ten commercial flours, higher correlation coefficient was calculated for the final dough volume parameter.  

scholarly journals Bread features evaluation by NIR analysis

2008 ◽  
Vol 25 (No. 5) ◽  
pp. 243-248 ◽  
Author(s):  
O. Jirsa ◽  
M. Hrušková ◽  
I. Švec
Keyword(s):  
Cross Validation ◽  
Standard Errors ◽  
Loaf Volume ◽  
Rheological Characteristics ◽  
Average Cell ◽  
Independent Validation ◽  
Predicted Values ◽  
Spectrometer Calibration ◽  
Calibration Equations

Bakery characteristics of wheat dough and the final product and their predictability by NIR technique was investigated using 231 variety and commercial wheat samples (crop years 2003–2005). The behaviour of doughs was assessed with Brabender maturograph and OTG (Germany), the final product quality was evaluated by the baking test and image analysis. NIR spectra of flours were acquired on a NIRSystem 6500 spectrometer. Calibration equations for the selected rheological characteristics were computed by WINISI II using mPLS regression. The quality of prediction was evaluated by means of coefficients of correlation between measured and predicted values from cross and independent validation. A statistically significant dependence (with probability higher than 99%) was found with all rheological characteristics. The standard errors of cross-validation were achieved as follows: dough elasticity 16 BU, bread volume (11 min) 58 BU, specific loaf volume 34 cm<sup>3</sup>/100 g, bread cut area 2.6 cm<sup>2, penetration 4.1 mm, average cell area 0.4 mm<sup>2</sup> and cells per cm<sup>2 7.4.

scholarly journals Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy

2011 ◽  
Vol 23 (No. 4) ◽  
pp. 145-151 ◽  
Author(s):  
J. Blažek ◽  
O. Jirsa ◽  
M. Hrušková
Keyword(s):  
Near Infrared ◽  
Prediction Models ◽  
Nir Spectroscopy ◽  
Milling Process ◽  
Near Infrared Reflectance ◽  
Independent Validation ◽  
Milling Characteristics ◽  
Predicted Values ◽  
Calibration Equations

The aim of this study was to explore the use of NIR spectroscopy of laboratory milled flour to predict the milling characteristics of wheat. Quantitative traits of the milling process of wheat were predicted by analyses of NIR spectra of six sets consisting of 94 samples. Reference data were obtained by grinding the samples on the laboratory mill Chopin CD1-auto (France), spectral data were measured on spectrograph NIRSystem 6500. Commercial spectral analysis software WINISI II was used to collect spectra, develop calibration equations and evaluate calibration performance. The quality of prediction was evaluated by coefficients of correlation between the measured and the predicted values from cross and independent validation. MPLS/PLS regression and ANN methods were used. A statistically significant dependence (at the probability level of 99%) was determined for all traits studied in the case of cross-validation. Satisfactory accuracy of the prediction models by independent validation was achieved only for semolina extraction rate, models for other characteristics did not show acceptable precision. &nbsp;

scholarly journals Wheat flour dough alveograph characteristics predicted by NIRSystems 6500

2011 ◽  
Vol 21 (No. 1) ◽  
pp. 28-33 ◽  
Author(s):  
M. Hrušková ◽  
P. Šmejda
Keyword(s):  
Wheat Flour ◽  
Cross Validation ◽  
Rheological Characteristics ◽  
Energy Characteristics ◽  
Coefficient Of Correlation ◽  
Flour Dough ◽  
Independent Validation ◽  
Predicted Values ◽  
Calibration Equations

Rheological quality of wheat dough prepared from 130 variety, stream, and commercial wheat flour samples (wheat harvest 1999, 2000 and 2001) was assessed with alveograph. Spectra of all samples were measured on spectrograph NIRSystems 6500. Calibration equations with cross and independent validation for all rheological characteristics were computed by NIR Software ISI Present WINISI II using MPLS and PLS methods. The quality of the prediction was evaluated by the coefficient of correlation between the measured and the predicted values from cross and independent validation. A statistically significant dependence between the predicted and the measured values (with probability P &lt; 0.01) was determined in P (elasticity) and W (energy) characteristics in the case of cross validation only in the commercial flour sets. P (with P &lt; 0.01) and W (with P &lt; 0.05) were successfully predicted by independent validation in the set of all samples. &nbsp;

scholarly journals Wheat flour dough rheological characteristics predicted by NIRSystems 6500

2013 ◽  
Vol 19 (No. 6) ◽  
pp. 213-218 ◽  
Author(s):  
M. Hrušková ◽  
M. Bednářová ◽  
F. Novotný
Keyword(s):  
Wheat Flour ◽  
Cross Validation ◽  
Rheological Characteristics ◽  
Absorption Time ◽  
Flour Dough ◽  
Independent Validation ◽  
Wheat Flour Dough ◽  
Predicted Values ◽  
Calibration Equations

Rheological quality of wheat dough prepared from 114 wheat flour samples (wheat harvest 1998 and 1999) was assessed by help of farinograph and extensigraph. Spectra of all samples were measured on spectrograph NIRSystems 6500 NIR. Calibration equations with cross and independent validation for all rheological characteristics were computed by NIR Software ISI Present WINISI II using mPLS and PLS methods. The quality of prediction was evaluated by coefficients of correlation between measured and predicted values from cross and independent validation. A statistically significant dependence between predicted and measured values (with probability higher than 99%) was determined in all mentioned rheological characteristics in the case of cross validation. Only farinograph absorption, time of dough development and mixing tolerance were successfully predicted by independent validation. Predictions of extensigraph characteristics were not found out statistically significant probably due to a small number of tested samples.

scholarly journals Procedures for Breadmaking Quality Assessment of Rye Wholemeal Flour

Foods ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 331
Author(s):  
Sylwia Stępniewska ◽  
Waleed H. Hassoon ◽  
Anna Szafrańska ◽  
Grażyna Cacak-Pietrzak ◽  
Dariusz Dziki
Keyword(s):  
Protein Content ◽  
Dry Mass ◽  
Quality Parameters ◽  
Water Soluble ◽  
Rye Bread ◽  
Low Protein ◽  
Rye Flour ◽  
Flour Properties ◽  
Lower Protein

The aim of this study was to evaluate the baking value of rye flours from industrial mills and to indicate which rye flour quality parameters are the most important predictors of wholemeal rye bread quality for commercially milled rye grains. Ten wholemeal rye flours, which were characterized by ash content ranging from 1.43% to 2.42% d.m. (dry mass), were used for the study. The parameters that characterize the flour properties and the baking test were assessed. The study revealed that for the analyzed commercial rye flours, the falling number test and the amylograph properties are insufficient parameters for predicting the quality of wholemeal rye bread. The manufacture of good quality wholemeal bread requires the use of rye flour with superior quality, such as fine granulation, low protein content, low total and insoluble pentosans content, and, in particular, a high percentage of water-soluble pentosans content. Breads with a higher volume were obtained from rye flours that were generally characterized by lower protein content, lower total and insoluble pentosans content, and higher water-soluble pentosans content. Flour granulation and the percentage of water-soluble pentosans content especially, had a significant impact on bread’s hardness of crumb and the hardness of crumb’s increase during bread storage.

scholarly journals Wheat and flour quality relations in a commercial mill

2013 ◽  
Vol 19 (No. 5) ◽  
pp. 189-195 ◽  
Author(s):  
M. Hrušková ◽  
K. Hanzlíková ◽  
P. Varáček
Keyword(s):  
Protein Content ◽  
Quality Parameters ◽  
Ash Content ◽  
Activity Measurement ◽  
Western Region ◽  
Falling Number ◽  
Bread Making ◽  
Gluten Index

The bread-making quality of forty commercial winter wheat samples, grown in the western region of the CzechRepublic, and their flours (white flours with ash content of about 0.5%) prepared in a commercial mill was studied. Standard analytical methods (ash and protein content, wet gluten), amylolytic activity measurement (falling number), rheological investigation (alveograph, gluten index), sedimentation test and laboratory baking test were used for characterization of wheats and flours. In addition NIR method was used to calculate ash, wet gluten, sedimentation value and protein content. Statistically significant correlations were found practically between all tested quality parameters of wheat and corresponding flour samples. However, the strongest correlation (r = 0.69&ndash;0.70) significant at 0.01 level exists between specific bread volume and protein and wet gluten content, determined both by standard or by NIR methods.&nbsp;

Effect of pectin coating on colour and quality of dehydrated pineapple during storage

2016 ◽  
Vol 35 (2) ◽  
Author(s):  
C. S. Saini ◽  
H. K. Sharma
Keyword(s):  
Colour Change ◽  
Quality Parameters ◽  
Colour Difference ◽  
Rehydration Ratio ◽  
Browning Index ◽  
Reaction Rate Constants ◽  
Evaluation Scores ◽  
Colour Parameters ◽  
Predicted Values

The effect of storage on the colour and quality parameters of uncoated and pectin coated dehydrated pineapple samples were studied during storage. The dehydrated pineapple samples were packed in aluminium foil pouches and stored at 30 ± 1°C and 75% RH. The colour change was determined using <italic>L*, a*, b*</italic>, hue, total colour difference and browning index values. The kinetics of changes in colour parameters was determined using zero-order and first-order reaction kinetics. Non-linear regression of experimental data was done to obtain the reaction rate constants. <italic>L*, b*</italic>, and hue values decreased, while <italic>a*</italic>, total colour difference and browning index increased during storage in both coated and uncoated samples. Both the models were found to describe the data of colour parameters adequately. The correlation coefficient value of most of the colour parameters was more than 0.95 indicating good agreement between experimental and model predicted values. The browning was more observed in uncoated samples than coated samples, which increased in the later stages of storage. Rehydration ratio decreased, while moisture content increased with storage. The sensory evaluation scores of coated samples remained acceptable for longer period than uncoated samples.

scholarly journals Influence of nitrogen, environment, and cultivars on the industrial quality of wheat

2019 ◽  
Vol 40 (6) ◽  
pp. 2571 ◽  
Author(s):  
Raphael Rossi Silva ◽  
Claudemir Zucareli ◽  
Inês Cristina de Batista Fonseca ◽  
Diego Gazola ◽  
Carlos Roberto Riede
Keyword(s):  
Protein Content ◽  
Ammonium Sulfate ◽  
Nitrogen Fertilization ◽  
Block Design ◽  
Sodium Dodecyl ◽  
Quality Parameters ◽  
Randomized Complete Block Design ◽  
Sedimentation Volume ◽  
The Stability

The quality of wheat is a pre-eminent factor in the criteria for commercialization of this cereal, and several parameters contribute to the evaluation of wheat quality. The objective of this study was to verify the effects of nitrogen fertilization on the cover and the environment for wheat cultivars and the effects on the industrial quality of the grain. Furthermore, we sought to identify correlations between the parameters of industrial quality. Experiments were conducted in Londrina for 2 years, in two distinct environments (A1 and A2). The experimental design was a randomized complete block design with four replications. The cultivars IPR Catuara TM, BRS Gaivota, Quartzo, and CD 120 were evaluated with different forms of nitrogen management: N1, without N in coverage; N2, 60 kg ha-1 of N in the form of urea at the beginning of tillering; N3, 80 kg ha-1 of N in urea formulation (60 kg ha-1 in tillering and 20 kg ha-1 in booting); N4, 100 kg ha-1 of N in the form of urea (60 kg ha-1 in tillering and 40 kg ha-1 in booting); N5, 80 kg ha-1 of N (60 kg ha-1 of N in the form of urea at the beginning of tillering, and 20 kg ha-1 of N in the form of ammonium sulfate in booting); N6, 100 kg ha-1 of N (60 kg ha-1 of N in the form of urea at the beginning of tillering, and 40 kg ha-1 of N in the form of ammonium sulfate in booting). Further, we evaluated grain yield, protein content, sedimentation volume with sodium dodecyl sulfate, and parameters of alveograph and farinograph. Nitrogen fertilization did not influence industrial quality parameters. The stability of the mass was influenced by the isolated effects of cultivars and the environment. The interaction of cultivars and environments influenced the parameters of alveograph and water absorption of the mass. The higher the protein content, the lower the stability of the mass, independent of the cultivar.

scholarly journals Effect of nutrient levels and schedule of nutrient application on the grain quality of upland rice intercropped in coconut

2018 ◽  
Vol 10 (3) ◽  
pp. 910-914
Author(s):  
Sheeja K Raj ◽  
B.M. Suman ◽  
K. Prathapan
Keyword(s):  
Protein Content ◽  
Crude Protein ◽  
Upland Rice ◽  
Starch Content ◽  
Quality Parameters ◽  
Sodium Borate ◽  
Nutrient Level ◽  
Nutrient Levels ◽  
Initiation Stage

Field experiment was conducted at Coconut Research Balaramapuram, during Kharif 2017 to study the effect of nutrient levels and schedule of application on the quality parameters of upland rice intercropped in coconut. The experiment was conducted in randomized block design (RBD) with four different nutrient levels and four different schedules of nutrient application. Quality parameters like crude protein and starch content were significantly influenced by nutrient levels. The crude protein content was found to increase with increase in N level, however starch content was found to increase up to 70 kg N and 35 kg K ha-1 and after that a decline in trend was observed.  The highest crude protein content (8.38 per cent) was recorded with highest nutrient level, NPK @ 120:30:60 kg ha-1.  However, lower nutrient level, NPK @ 70:30:35 kg ha-1 recorded higher starch content (85.03 per cent).  Among the schedule of nutrient application, N applied in three equal splits (15 days after sowing (DAS), active tillering and panicle initiation stage), P as basal and K in two equal splits (15 DAS and panicle initiation stage) along with foliar application of 0.2 per cent zinc sulphate and 0.04 per cent sodium borate at 45 DAS recorded the highest crude protein (7.50 per cent) and starch content (84.17 per cent). The study clearly indicated that the increased level of N and K increased the protein content due to the active role of N and K in protein synthesis. However, high rate of N application decreased the starch content. In addition to the application of NPK, foliar nutrition of zinc sulphate and sodium borate at 45 DAS considerably improved the quality of grain by increasing the starch and protein content.

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