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Browsing by Subject "texture"

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  • Rekola, Kristiina (2015)
    Chemical composition of oats and its suitability for baking were reviewed in the literature part. The special features of baking without gluten and possibilities to increase the quality of gluten-free bread were also discussed. The aim of the experimental research was to develop high protein gluten-free oat-based bread. The effect of different protein concentration on structural, textural and sensory properties of gluten-free oat bread was studied. Also the effect of processing method on bread quality was studied by using sourdough technology and straight dough technology. Gluten-free oat bread recipe and baking protocol as well as sourdough fermentation conditions were optimized on the basis of preliminary trials. Oat-based breads with varying protein content were baked by using straight dough and sourdough technologies. Reference sample was oat-based bread without added protein. Specific volume, moisture content, texture profile analysis (crumb hardness, chewiness and resilience) and starch retrogradation of gluten-free breads were analysed. For shelf life measurements, breads were stored in plastic bags at room temperature from 1 to 3 days. Sensory profile of bread samples were evaluated on the day of baking by a trained panel. Descriptive analysis method was used. Palatable high protein gluten-free oat-based bread was obtained in this study. Increasing amount of protein improved the crumb structure and shelf life of gluten-free breads. All of the protein supplemented breads had agreeable sensory profile. Sourdough did not further improve the quality of high protein gluten-free bread except for increased aroma intensity. Oats and its fractions can be successfully applied as an ingredient for gluten-free baking to enhance the nutritional quality.
  • Hujala, Teppo (2003)
    The use of remote sensing imagery as auxiliary data in forest inventory is based on the correlation between features extracted from the images and the ground truth. The bidirectional reflectance and radial displacement cause variation in image features located in different segments of the image but forest characteristics remaining the same. The variation has so far been diminished by different radiometric corrections. In this study the use of sun azimuth based converted image co-ordinates was examined to supplement auxiliary data extracted from digitised aerial photographs. The method was considered as an alternative for radiometric corrections. Additionally, the usefulness of multi-image interpretation of digitised aerial photographs in regression estimation of forest characteristics was studied. The state owned study area located in Leivonmäki, Central Finland and the study material consisted of five digitised and ortho-rectified colour-infrared (CIR) aerial photographs and field measurements of 388 plots, out of which 194 were relascope (Bitterlich) plots and 194 were concentric circular plots. Both the image data and the field measurements were from the year 1999. When examining the effect of the location of the image point on pixel values and texture features of Finnish forest plots in digitised CIR photographs the clearest differences were found between front-and back-lighted image halves. Inside the image half the differences between different blocks were clearly bigger on the front-lighted half than on the back-lighted half. The strength of the phenomenon varied by forest category. The differences between pixel values extracted from different image blocks were greatest in developed and mature stands and smallest in young stands. The differences between texture features were greatest in developing stands and smallest in young and mature stands. The logarithm of timber volume per hectare and the angular transformation of the proportion of broadleaved trees of the total volume were used as dependent variables in regression models. Five different converted image co-ordinates based trend surfaces were used in models in order to diminish the effect of the bidirectional reflectance. The reference model of total volume, in which the location of the image point had been ignored, resulted in RMSE of 1,268 calculated from test material. The best of the trend surfaces was the complete third order surface, which resulted in RMSE of 1,107. The reference model of the proportion of broadleaved trees resulted in RMSE of 0,4292 and the second order trend surface was the best, resulting in RMSE of 0,4270. The trend surface method is applicable, but it has to be applied by forest category and by variable. The usefulness of multi-image interpretation of digitised aerial photographs was studied by building comparable regression models using either the front-lighted image features, back-lighted image features or both. The two-image model turned out to be slightly better than the one-image models in total volume estimation. The best one-image model resulted in RMSE of 1,098 and the two-image model resulted in RMSE of 1,090. The homologous features did not improve the models of the proportion of broadleaved trees. The overall result gives motivation for further research of multi-image interpretation. The focus may be improving regression estimation and feature selection or examination of stratification used in two-phase sampling inventory techniques.
  • Debel, Ana Ebsa (2021)
    Sensory evaluation is necessary to understand the specific sensory characteristics of cheese and its influence on eating behavior. This study aimed to create a flavor profile for five cheese samples that were composed of the same ingredients and maturated in temperature-controlled chambers either in silence or in different types of soundscape frequencies for 4 months. Furthermore, the study examined the impact of soundscape ripening conditions on the sensory profile of the cheese samples. The Generic Descriptive Analysis (GDA) sensory profiling method was conducted with trained study participants, (n =10). The experimental phase covered training the panel, creation of lexicon, 4 training, and 3 evaluation sessions. Intensities of sensory properties were evaluated using a line-scale (0 = not at all to 10 = very strong). The quantitative data was collected based on ISO 8589 standard guiding procedure in the sensory laboratory and processed with various statistical methods. Data for each sensory property was analyzed with the one-way ANOVA using IBM SPSS Statistics. Flavor profiles altogether were analyzed with Principal Component Analysis (PCA) using Unscrambler software. The results of this study showed that the sensory profile of the cheese samples was rich in a total of 17 properties that included 6 senses of smell, 5 senses of touch, and 6 senses of taste attributes. The strongest sensory properties were fattiness perceived both via fingers and mouthfeel. The application of soundscape during cheese maturation processes had no significant impact on individual sensory properties. Based on the one-way ANOVA there were no significant differences between the five cheese samples. However, the principal component analysis indicated that cheese samples formed clusters when entire sensory profiles were taken into account. The effect of soundscape during the maturation period of cheese requires further research.
  • Debel, Ana Ebsa (2021)
    Sensory evaluation is necessary to understand the specific sensory characteristics of cheese and its influence on eating behavior. This study aimed to create a flavor profile for five cheese samples that were composed of the same ingredients and maturated in temperature-controlled chambers either in silence or in different types of soundscape frequencies for 4 months. Furthermore, the study examined the impact of soundscape ripening conditions on the sensory profile of the cheese samples. The Generic Descriptive Analysis (GDA) sensory profiling method was conducted with trained study participants, (n =10). The experimental phase covered training the panel, creation of lexicon, 4 training, and 3 evaluation sessions. Intensities of sensory properties were evaluated using a line-scale (0 = not at all to 10 = very strong). The quantitative data was collected based on ISO 8589 standard guiding procedure in the sensory laboratory and processed with various statistical methods. Data for each sensory property was analyzed with the one-way ANOVA using IBM SPSS Statistics. Flavor profiles altogether were analyzed with Principal Component Analysis (PCA) using Unscrambler software. The results of this study showed that the sensory profile of the cheese samples was rich in a total of 17 properties that included 6 senses of smell, 5 senses of touch, and 6 senses of taste attributes. The strongest sensory properties were fattiness perceived both via fingers and mouthfeel. The application of soundscape during cheese maturation processes had no significant impact on individual sensory properties. Based on the one-way ANOVA there were no significant differences between the five cheese samples. However, the principal component analysis indicated that cheese samples formed clusters when entire sensory profiles were taken into account. The effect of soundscape during the maturation period of cheese requires further research.
  • Helminen, Pirjo (2014)
    Thesis literature review deals with composition of cow´s milk, yogurt manufacturing, composition and process attributes affecting textural properties of yogurt and measuring textural properties of yogurt. Plain, stirred yogurts (kg) were manufactured at Valio Riihimäki and Oulu Dairies. The aim of the research was to find out attributes that affect yogurt quality. First milk base composition was determined and, yogurt textural properties were determined (viscosity, graininess, syneresis) using different techniques. Finally yogurt statistical relationships or Pearson correlations and statistical significance between yogurt textural properties and milk base composition and manufacturing process were determined. Additional objective was to determine common specification limits to yogurt textural properties. Statistical analysis; pearson correlation coefficients, p-value and specification limits were carried out using MINITAB®16 statistical software. Good yogurt texture is viscous, free from grains and syneresis. This study showed that yogurt textural properties (viscosity, graininess and syneresis) were affected significantly by yogurt manufacturing plant. There were a lot of fluctuations in yogurt textural properties. Consequently yogurt viscosity fluctuated over 50%, graininess approx. 25% and syneresis approx. 30%. According to this study, yogurts standing a long time before packaging, were less viscose or watery compared to those with shorter standing time prior to packaging. Graininess and evaporating process were found to correlate positively. Yogurts were with more grains when manufacturing process`s evaporating temperature and evaporating rate (l/h) were higher. The higher milk base fat and dry matter content (%) were found to correlate lesser whey separation in yogurt. In addition the higher evaporating rate was in the yogurt manufacturing process, the lesser whey separation was observed. Results from this research are useful for developing dairy processes concerning yogurt manufacturing.
  • Mustanoja, Ella (2014)
    The literature review was concerned with colourful vegetables and the most common pigments in vegetables: carotenoids, anthocyanins, betalaines and chlorophyll. In addition, how thermal treatments affect these pigments and the structure of vegetable was reviewed. The aim of the experimental work was to investigate the effect of thermal treatments on the colour, pigments and texture of carrots and beet-roots. Seven coloured carrot cultivars and four coloured beet-root cultivars were examined. Three different kinds of thermal treatments were applied to the samples: blanching, boiling and steaming. Orange and purple carrots contained the highest amounts of carotenoids. The total carotenoid content of the carrots increased due to the thermal treatments. Purple carrots were the only carrots which contained anthocyanins. Anthocyanin stability is pH dependent: boiling in slightly acidic water had a minor impact on anthocyanin content than boiling in pure water. Red beet was the most betalain-rich beet-root. Other cultivars contained remarkably less betalaines. Betalain content decreased due to the thermal treatments. Betalain degradation due to the thermal treatments was detected as the pigment content and colour changed. Thermal treatments softened the vegetable structure. Thermal treatment improves the extraction of the pigments from the vegetable structure, which was detected as the increase in pigment concentration, leading to an enhancement of bioavailability of pigments. However, long thermal treatments cause pigment degradation and reduce the nutritional value of the vegetables.
  • Ilvesniemi, Saara (2009)
    The purpose of this study was to investigate the usability of aerial images and Landsat TM in estimating Scots pine defoliation. Estimation methods tested were unsupervised classification, maximum likelihood method, mixed model and linear regression model. Image features for needle loss detection were selected with stepwise linear regression and mixed model technique. As a part of the study the relationship between needle loss and leaf area index (LAI) was examined. The relationship between image features, needle loss and leaf area index was also examined. Numerical aerial images and Landsat TM satellite images were used. Textural features were calculated from aerial images and spectral vegetation indices from the satellite image. The study site was located in Ilomantsi, Finland. 71 field sample plots were measured and located with GPS. Field plots were circular plots. Trees with diameter brest height (dbh) over 13,9 cm were measured from 13 meter radius and trees with dbh 5,0 - 13,8 cm were measured from 7 meter radius. Needle loss of all pines was estimated. Needle loss for the plot was calculated as an average weighted by tree height. Four different class combinations were tested in classification. Plots were divided in 2, 3, 4 and 9 classes depending on their needle loss. Different image feature combinations and classification methods were tested. Classification was done by cross validation. Classification results were compared with original classes. The reliability of the classification was tested using accuracy matrix and kappa value. A mixed model was also used for aerial image features. The best image feature combination with all classification methods was the aerial image feature combination selected with stepwise selection method. Both spectral and textural features were included in the stepwise selection result. Classification accuracy varied between 38,0 % (9 classes) and 88,7 % (2 classes). The best explanatory variable for needle loss was the aerial image NIR channel maximum radiation (r2=0,69). However, unsupervised and supervised classification might have produced too positive results because of correlation in the data. Mixed model technique was used to select the variables for the linear model. Mixed model was used to reduce the effects of the correlation. The model classification accuracy varied between 35,2 % (9classes) and 87,3 % (2classes). According to mixed model selection result no textural features were significant predictors for needle loss. Classification results with Landsat image features were slightly poorer than with the best aerial image feature set (accuracy between 25,4 % and 88,7 %). The relationship between needle loss and LAI was poor (r2=0,27). Needle loss and LAI also correlated with different image features. LAI correlated slightly better with textural features than needle loss. Spectral vegetation indices calculated from Landsat TM correlated moderately with both needle loss and LAI. Indices VI3 (r2=0,56), MIR/NIR (r2=0,51) and RSR (r2=0,44) had the strongest connection to needle loss. Spectral vegetation indices could be a potential way for large area needle loss detection.
  • Kumpulainen, Juuso (2022)
    The end point chopping temperature influences different properties of the sausage batter and consequently the properties of the final product. If the end point chopping temperature of the sausage batter is either too high or too low the properties of the final product, especially texture, colour, sensory properties, and water-holding capacity (in this context cooking loss) will be affected. However, in the industrial scale, the end point chopping temperatures are hard to alter due to the continuous nature of the processes. The aim of the thesis was to study could marked differences be found from sausage batches that had been chopped to opposite extreme end point chopping temperatures that had been reported by the sausage factory staff. The study was carried out by using following three different meat choppers: standard bowl chopper, two different continuous choppers. Two separate, identically composed preblended meat masses were prepared in such way that their initial temperatures were approximately 0 and 10 °C. The preblended mass with lower initial temperature was made from non-frozen and frozen thawed meat assortments (50 % and 50 %), whereas the other mass was produced from non-frozen meat only. In turn, the chosen values for end point chopping temperatures were 13 and 23 °C. Texture properties, colour and cooking loss were determined from the cooked sausages and the differences were compared statistically.
  • Kumpulainen, Juuso (2022)
    The end point chopping temperature influences different properties of the sausage batter and consequently the properties of the final product. If the end point chopping temperature of the sausage batter is either too high or too low the properties of the final product, especially texture, colour, sensory properties, and water-holding capacity (in this context cooking loss) will be affected. However, in the industrial scale, the end point chopping temperatures are hard to alter due to the continuous nature of the processes. The aim of the thesis was to study could marked differences be found from sausage batches that had been chopped to opposite extreme end point chopping temperatures that had been reported by the sausage factory staff. The study was carried out by using following three different meat choppers: standard bowl chopper, two different continuous choppers. Two separate, identically composed preblended meat masses were prepared in such way that their initial temperatures were approximately 0 and 10 °C. The preblended mass with lower initial temperature was made from non-frozen and frozen thawed meat assortments (50 % and 50 %), whereas the other mass was produced from non-frozen meat only. In turn, the chosen values for end point chopping temperatures were 13 and 23 °C. Texture properties, colour and cooking loss were determined from the cooked sausages and the differences were compared statistically.