18 research outputs found

    Comparative study of white cabbage, traditional variety and hybrid intended for biological fermentation

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    Traditional Serbian variety of white cabbage, cultivar “Futoski” (33 samples) and hybrid “Bravo” (10 samples) were investigated in this study for their applicability to biological fermentation. Different chemical, physical, texture and sensory characteristics of raw cabbage heads were investigated. Obtained experimental results were analyzed using descriptive statistics, while correlation analysis showed the relations between different assays. Also, Principal Component Analysis (PCA) has been applied to classify and discriminate between different cultivars cabbage heads. Furthermore, standard score has been introduced to enable more comprehensive comparison between the investigated samples, in order to find the optimum sample, regarding observed chemical, physical, texture and sensory properties. PCA analysis showed that the best sample for cabbage cultivar “Futoski” was sample 9, while sample 34 was the best for hybrid “Bravo”, regarding their chemical, morphological and sensory characteristics.

    Quality of Root Vegetables during Prolonged Storage

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    The objective of this study was to develop postharvest techniques and technologies of the most important root vegetables: carrots, celeriac and parsnip. Investigations included the effect of harvest maturity (harvest at November or January) and postharvest washing treatments (hot water, H2O2 and NaOCl and non-washed-control) of carrots (Daucus carota ’Bolero F1’), parsnip (Pastinaca sativa ‘Banatski dugi’) and celeriac (Apium graveolens var. rapaceum ‘Mentor’) roots and effects on their quantitative and qualitative changes during different storage conditions (S-1; 0°C and 98% RH or S-2; 0-2°C and 85-92% RH). Water loss and quality changes in these vegetables roots were monitored after 120 and 180 days of storage period (SP). At the end of SP the percentage of water loss ranged from 3.20% (from first harvest inside the S-1 with H2O2 treatment) in carrot to 39.29% (from first harvest inside the S-2 in control) in celeriac root. The dry matter content (DM) increased during storage period. Total sugar content (TSC) in the roots depends on year and harvest time. During SP, total sugar content increased more in S-2 cooling room. The parsnip root was characterized by more hardness texture relative to the carrot and celeriac roots. During SP carrot root loses the flexibility. The most effective method of maintaining quality of root vegetables is optimal harvest time followed by prestorage washing treatments (H2O2 or NaOCl) and storage at optimum temperature (0 ºC) with a high relative humidity 98%

    Physicochemical Changes of the Gluten-Free Rice-Buckwheat Cookies during Storage – Artificial Neural Network Model

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    The influence of storage time, temperature, and packaging on some physicochemical characteristics of gluten-free rice-buckwheat cookies was studied. Shelf life markers, such as water activity (aw), hydroxymethylfurfural (HMF), firmness, and color parameters were modelled in relation to different storage conditions. Principal component analysis was applied to study the similarity among samples according to the observed parameters. The mathematical model in the form of an artificial neural network was developed to predict the physicochemical parameters of cookies during 6-month storage. The most evident differentiation among samples was observed for color coordinate a*, aw , and HMF. Regarding the methods for determination of the parameters, priority should be given to the instrumental determination of color as the most convenient method. The processing of experimental data allowed the creation of useful mathematical model to be used in predicting the behavior of physicochemical changes of cookies by different factor combinations during storage

    Veštačke neuronske mreže za predviđanje kvaliteta različitih genotipova paradajza

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    Sensory analysis is the best mean to precisely describe the eating quality of fresh foods. However, it is expensive and time-consuming method which cannot be used for measuring quality properties in real time. The aim of this paper was to contribute to the study of the relationship between sensory and instrumental data, and to define a proper model for predicting sensory properties of fresh tomato through the determination of the physicochemical properties. Principal Component Analysis (PCA) was applied to the experimental data to characterize and differentiate among the observed genotypes, explaining 73.52% of the total variance, using the first three principal components. Artificial neural network (ANN) model was used for the prediction of sensory properties based on the results obtained by basic chemical and instrumental determinations. The developed ANN model predicts the sensory properties with high adequacy, with the overall coefficient of determination of 0.859.Senzorska analiza predstavlja najbolje sredstvo za precizno opisivanje kvaliteta svežih namirnica. Međutim,to je skupa i dugotrajna metoda koja se ne može koristiti za merenje pokazatelja kvaliteta u realnom vremenu. Cilj ovog rada bio je da doprinese proučavanju odnosa između podataka dobijenih primenom senzorske analize i instrumentalnih metoda i da definiše odgovarajući model za predviđanje senzorskih svojstava svežeg paradajza pomoću određivanja fizičko-hemijskih svojstava. Analiza glavnih komponenti (RSA) primenjena je na eksperimentalne podatke da bi se okarakterisali i diferencirali posmatrani genotipovi, objašnjavajući 73,52% od ukupne varijanse, koristeći prve tri glavne komponente. Model veštačke neuronske mreže (ANN) korišćen je za predviđanje senzorskih svojstava na osnovu rezultata dobijenih osnovnim hemijskim i instrumentalnim određivanjima. Razvijeni ANN model predviđa senzorska svojstva sa visokom adekvatnošću, sa ukupnim koeficijentom determinacije od 0,859

    Brašno - Kruh '15

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    Proceedings contains 28 original research articles presented at 8th International Congress Flour – Bread ’15 and 10th Croatian Congress of Cereal Technologists Brašno – Kruh ’1

    The influence of plant protein on the properties of dough and the quality of wholemeal spelt bread

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    The paper presents the effect of a soy protein concentrate (protein content 65%) as a substituent (substituting 20% wholegrain spelt flour) and a pea protein isolate (protein concentration 90%) as a substituent (substituting 5% and 10% wholegrain spelt flour) on the rheological characteristics of spelt dough and on the physical and sensory characteristics of spelt bread enriched with proteins. The stability of dough supplemented with a soy protein concentrate has turned out to be higher than the stability of dough supplemented with pea protein isolates. It is probably the result of different protein behaviour in soybeans and peas. The applied ingredients have manifested different effects on the specific bread volume. In comparison to the control bread, the specific volume of bread samples have been reduced significantly with addition of a 20% soy protein concentrate and a 10% pea protein isolate (from 1.83 ml/g to 1.39 and 1.38 respectively). On the other hand, addition of a 5% pea protein isolate has not brought to a significant decline in the specific bread volume. Addition of a 10% pea protein isolate has increased the chewiness while this parameter has not changed significantly in relation to the control bread with addition of 5% pea protein and 20% soy protein. Spelt bread with 5% pea isolated protein is the most acceptable according to the overall sensory acceptance among all the analysed samples

    Application of the SHS-GC-FID method and HPLC-DAD method in the prediction of the shelf-life of gluten-free cookies

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    The aim of this study was to compare the sensitivity of two analytical methods for the prediction of the shelf-life of unpacked and packed gluten-free rice–buckwheat cookies kept at ambient (23±1°C) and elevated (40±1°C) temperature during storage, namely the static headspace gas chromatographic method with flame ionisation detection (SHS-GC-FID) for volatile saturated aldehydes (propanal (C3), pentanal (C5), hexanal (C6), heptanal (C7) and octanal (C8)) and the HPLC method for malondialdehyde (MDA) determination. Both methods resulted in obtaining the same end-points of cookie shelf-life, i.e., 3 and 5 months for unpacked and packed cookies kept at elevated temperature, respectively, and 11 and 14 months for unpacked and packed cookies kept at ambient temperature, respectively. Two computational approaches, i.e., the second order polynomial (SOP) and artificial neural network (ANN) models, were used accordingly. The calculations of the contents of aldehydes and MDA could be predicted with an overall coefficient of determination of 0.722 using the ANN model compared to 0.312–0.773 for SOP models. According to sensitivity analysis, it might be suggested that the relevant parameter for the prediction of the end-point of cookie shelf-life is the MDA rather than the C3, C5, C6, C7 and C8 content. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR-31029

    Sour Cherry Pomace Valorization as a Bakery Fruit Filling: Chemical Composition, Bioactivity, Quality and Sensory Properties

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    Sour cherry pomace filling (SCPF) and commercial sour cherry filling (CSCF) produced on a semi-industrial scale were tested and compared in terms of food safety, chemical composition, bioactivity, quality, sensory properties and thermal stability. Both samples were safe for human consumption, thermally stable and there was a lack of syneresis. SCPF had a significantly higher fiber concentration (3.79 g/100 g) due to higher skin fraction and is considered a “source of fibers”. The higher skin fraction in SCPF also resulted in a higher mineral quantity (Fe—3.83 mg/kg fw) in comparison to CSCF (Fe—2.87 mg/kg fw). Anthocyanins concentration was lower in SCPF (7.58 mg CGE/100 g fw), suggesting that a significant amount of anthocyanins was removed from SC skin during juice extraction. However, there was a lack of statistical differences in antioxidant activity between the two fillings. CSCF was more spreadable, not as firm and less sticky, with lower storage and loss modulus values than SCPF. However, both fillings exhibited acceptable rheological and textural behaviour for fruit fillings. According to the consumer pastry test, 28 participants preferred each pastry; thus, there was a lack of preference toward any of the tested samples. SCP could be used as a raw material for the bakery fruit fillings industry, which leads to the valorization of food industry by-products

    Effect of processing and cooking on mineral and phytic acid content of buckwheat-enriched tagliatelle

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    Two types of buckwheat flour - non-treated (NBF) and autoclaved (TBF) were used for the enrichment of whole wheat tagliatelle (control sample) at the level of 10-30% and the produced tagliatelle samples (dry and cooked) were examined in terms of mineral and phytic acid (PA) content. Both NBF and TBF possessed significantly higher (p < 0.05) content of all investigated minerals compared to whole wheat flour (WWF), but significantly lower (p < 0.05) PA content. Cooked NBF-containing tagliatelle possessed significantly higher (p < 0.05) content of Mg, Zn, Mn and Fe compared to the cooked control sample, while mineral content of cooked TBF-containing tagliatelle samples was not significantly different from the control. Autoclaving significantly reduced (p < 0.05) PA content of cooked TBF-containing tagliatelle samples compared to cooked NBF-containing tagliatelle samples and the control sample. The mineral bioavailability defined through molar ratio of mineral to phytate was slightly improved in buckwheat-containing tagliatelle samples, but it still remains at low level. Regarding all results, the enrichment of whole wheat tagliatelle with NBF at higher levels of substitution (20-30%) resulted in significant increase in mineral content and bioavailability

    Partial replacement of fat with wheat bran in formulation of biscuits enriched with herbal blend

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    The effects of replacing fat with finely ground wheat bran, at different levels (30, 40, 50%), in biscuit formulation were investigated with respect to dough texture and final biscuit characteristics and nutritional quality. Fat reduction using wheat bran increased dough hardness but decreased adhesiveness, cohesiveness, and springiness. Biscuit hardness increased and fracturability decreased with increasing fat replacement level. Changes in biscuit colour were detectable; lightness increased whereas yellow tone decreased. Increasing bran level contributed to higher content of protein, fibres and minerals. The achieved calorie reduction spanned over 14.5-16.2%. The dietary fibre content increased 2.1-2.8 times in comparison to the control. Over 30% fat replacement, low sensory scores were obtained. It could be concluded that fat may be replaced in biscuit formulation, up to 30% with wheat bran. These “reduced fat” biscuits had acceptable sensory properties and additional nutritional improvement due to higher fibres and minerals and fewer calories. [Projekat Ministarstva nauke Republike Srbije, br. TR31029
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