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1.
This study compared two instrumental methods, namely uniaxial compression and texture profile analysis (TPA), with sensory evaluation in describing the textural properties of cooked sweetpotatoes. The steamed cooked samples (1.35 × 2.2 cm cylinder) of four cultivars and six selections were subjected to a trained texture profile panel for sensory ratings and the two instrumental methods for determination of the mechanical properties. Factor analysis indicated that the 15 sensory variables were grouped into 3 main factors, namely moistness-firmness (factor 1), particles (factor 2), and fiber (factor 3). Among the instrumental parameters, shear stress of compression and fracturability, hardness, and gumminess of TPA correlated highly (R = 0.73–0.95) with both the mouthfeel and mechanical-type sensory notes. These parameters of the two instrumental methods were linearly related (R2≥ 0.95) and could be converted from one to another with a high degree of reliability. Regression equations based on shear stress significantly explained (R2= 0.71–0.91) eight of the sensory notes. These instrumental parameters can be good predictors of cooked sweetpotato texture.  相似文献   

2.
BOOK REVIEW     
Ratings by a trained texture profile panel were compared with the mechanical properties (shear stress at structural failure, normal strain to failure and apparent elastic modulus) determined in torsion and uniaxial compression for apple, melon and Irish potato flesh. Results indicated that, for melon and potato flesh, the structural failure stress levels were more frequent and significant indicators of sensory note magnitudes than the modulus values. The reverse was true for apple flesh. Of the sensory notes, moisture release correlated most consistently with the mechanical properties. Melon flesh failed in uniaxial compression by widespread crushing rather than along a failure plane. Correlation of the mechanical failure stress with the first bite sensory notes dominated in this case. The structural failure of potato flesh in uniaxial compression generally occurred along a single plane of maximum shear stress which left two essentially intact pieces of specimen. First bite and mastication sensory notes for potato flesh correlated with shear stress at failure about equally well. The structural failure of apple tissue in uniaxial compression was caused by general compression failure with many fragmented pieces of tissue remaining. Apple flesh produced the most frequent correlations of both first bite and mastication texture notes with the instrumental modulus and failure values.  相似文献   

3.
Over 100 heat coagulated fish pastes with widely varying sensory texture properties were prepared and evaluated. Variations in species, geographical source of fish, cooking procedure and other variables provided a wide range in material properties. Small strain material properties were evaluated instrumentally using uniaxial sinusoidally varying force at a frequency of 2 Hz and recording stress, strain and the phase angle between the two. A multiblade shear/compression cell mounted in an Instron Universal Testing machine was used to measure the shear/compression failure force. The products were also evaluated by a trained texture profile panel using 13 character notes. The maximum shear/compression cell force was a good predictor of sensory springiness, firmness, cohesiveness, and gel strength for the heat coagulated fish pastes tested. These four sensory notes were good predictors of each other so that a panel rating of any one could be used to rate the other three with numerical ratings for all four being very similar. Gumminess and adhesiveness ratings were also very similar and varied inversely with the shear/compression cell force and with the above four panel notes. These two notes were directly proportional to the loss tangent of the product, which correlated with them about as well as did the shearlcompression cell force. The relationships developed between panel notes support the modification of the General Foods Texture profile suggested by Sherman (1969). Statistically developed equations giving sensory texture notes as functions of instrumental material properties are given and their implications discussed.  相似文献   

4.
The objectives of this research were to investigate the applicability of using an alginate-calcium gelling system to produce a French fry-type product using high beta-carotene sweetpotato puree as the main ingredient and to compare four instrumental methods of texture measurement for this product type in relation to sensory textural properties. Sweetpotato puree made with Jewel cultivar sweetpotatoes was restructured using optimized alginate-calcium concentrations. A consumer panel scored sweetpotato fries containing 0.35 g alginate/100 g and 0.5 g CaSO4/100 g highest for appearance, texture, flavor, and overall acceptability. A trained texture profile panel described the product with 15 texture notes. Of these attributes, nine sensory notes describing hardness, mastication shear, cohesiveness, springiness, moistness, and oiliness were highly correlated with some instrumental parameters (r=0.79-0.92) for measuring textural properties. The instrumental methods evaluated were instrumental texture profile analysis, three-point bending force, Kramer shear force, and puncture force. Among these instrumental methods, Kramer shear appeared to be the method of choice because of method's simplicity and high precision (coefficient of variation ≤10%).  相似文献   

5.
Instrumental and sensory textural characteristics of frozen blue squat lobster (Cervimunida johni) tails stored at ?22C for 0, 15 and 60 days were evaluated. The influence of fishing area (north or south) was also studied. Instrumental texture was evaluated by shear and compression testing using a Warner–Bratzler blade for firmness and a flat plunger with two‐cycle compression for texture profile analysis (TPA) testing. A trained panel was utilized to evaluate textural attributes using the score method. Results showed that fishing area and frozen storage did not affect the textural quality of blue squat lobster tails. However, a strong correlation (r > 0.9) between sensory and instrumental texture parameters was observed. Instrumental chewiness (r = 0.91), cohesiveness (r = 0.96) and sensory hardness (r > 0.84) obtained the strongest correlations. In this way, the use of instrumental analysis may be useful as an alternative to sensory analyses to evaluate the textural characteristics of blue squat lobster tails.  相似文献   

6.
Relationships among sensory texture profile parameters, among values for textural parameters obtained through different methods of interpreting instrumental texture profile analysis (TPA) curves obtained with an Instron, and between sensory and instrumental TPA values were examined for beef and beef-soy loaves. The only singificant relationship among sensory parameters was between cohesiveness and springiness. Although a number of significant relationships existed between the various methods of interpreting instrumental parameters, a number of these were associated with secondary parameters having common primary parameters. A strong relationship was found between sensory springiness and adjusted downstroke cohesiveness. Sensory cohesiveness was related both to this instrumental parameter and to downstroke cohesiveness. Chewiness values calculated for these two methods for obtaining cohesiveness values showed strong negative associations with sensory fracturability scores.  相似文献   

7.
Torsion gelometry, a fundamental rheological test in which specimens are twisted until they fracture, was applied to several different cheese varieties to determine its suitability for measuring their textural properties. Fresh and aged Brick, Cheddar, Colby, Gouda, Havarti, Mozzarella, and Romano cheeses were subjected to torsion analysis, and the results were compared with those from small amplitude oscillatory shear (SAOS) tests and texture profile analysis (TPA). Strong relationships (correlation coefficients > 0.8) were found between torsion shear stress and TPA hardness, and between torsion shear strain and TPA cohesiveness. SAOS, which measures rheological properties of intact samples, did not correlate well with torsion or TPA. A map showing trends during aging toward brittle, mushy, rubbery, and tough texture was drawn using the torsion data. The findings show that torsion gelometry provides fundamental rheological data on cheese at the fracture point. The information can be used to compare textural qualities of cheese samples as they are being cut.  相似文献   

8.
The relationship between instrumental (vane method, texture profile analysis (TPA), uniaxial compression) and sensory texture measurements of Cheddar cheeses was investigated. A Haake VT 550 viscotester equipped with a four-bladed vane rotor was used for the vane test. Instrumental TPA was performed with a TA.XT2 Texture Analyser, and compression variables were calculated from TPA data. Vane parameters were significantly correlated with respective variables of compression and TPA (r=0.56-0.91), and sensory tests (r=0.54-0.88). Multivariate analysis indicated that seven sensory attributes of ten commercial Cheddar cheeses were satisfactorily predicted (calibration regression coefficient,Rcal >0.62) by variables of the vane, uniaxial compression and TPA tests. In particular, cheese firmness and cohesiveness evaluated by sensory panel were well described by vane stress and apparent strain. The results validate the vane method as an alternative to the existing cheese testing methods for rapid evaluation of cheese texture.  相似文献   

9.
The effects of heating rate and sugar type and concentration on the values of frankfurter textural parameters at structural failure were evaluated by a torsion test and a two cycle uniaxial compression test. Structural failure tests indicated that heating rate and sugar concentration had major effects on shear stress; in addition to minor effects on true shear strain. In general, heating rate had a greater effect on stresses and strains than sugar. Torsion and compression tests yielded different values, however, trends due to treatment were similar. The method used for interpretation of texture profile analysis parameters from Instron force-deformation curves had an effect on the statistical analysis results. A thermal scanning rheology monitor nondestructively measured rheological changes during thermal processing. During thermal processing, the major modulus of rigidity increase started at 58°C and the major decrease in energy loss occurred in the 40–60°C range. Unlike structural failure rheological properties, rigidity at 70°C was not affected by heating rate.  相似文献   

10.
Multivariate analysis techniques were used to seek correlations between texture sensory attributes assessed by a trained professional panel and instrumental measurements (compression, puncture and penetration) carried out on various types of cheeses. Twenty-nine cheeses were assessed by the panel and instruments. Correlation was sought using Partial Least Squares regression. Hardness (R=0.87), springiness (R=0.98) and cohesiveness of mass (R=0.89) were best predicted by instrumental data from a cone penetration test. The prediction of cohesiveness was acceptable using any of the three instrumental tests performed (0.76相似文献   

11.
酸菜自然发酵过程中的质地变化   总被引:1,自引:0,他引:1  
以自然发酵酸菜为研究对象,应用质构仪质地多面分析(Texture Profile Analysis,TPA)法对自然发酵过程中酸菜质地变化进行分析,探讨了质构仪各项参数之间的相关性及自然发酵过程中各参数的变化规律。结果表明,大多数的质构参数之间呈现显著相关性,酸菜的硬度1、脆度、回复性、凝聚性及咀嚼性随着发酵时间的延长整体呈现下降的趋势,且发酵40~60 d时是食用酸菜品质最佳的时期。  相似文献   

12.
Objective tests for frankfurter textural properties were investigated by varying formulations and processing parameters and then correlating nine sensory textural attributes with eleven instrumental methods. The most discriminative instrumental parameters were compressive force at failure, compressive force at 50% deformation without failure, and maximum shear force. High correlations (r > 0.80) were found between compressive forces or shear force and sensory elasticity, firmness, and chewiness; stress relaxation and elasticity; total expressible fluid and juiciness; and expressible moisture and wateriness. Elastic recovery did not correlate with any sensory characteristic.  相似文献   

13.
14.
Rotational rheometers and texture analysers are commonly used to test liquid and solid samples, respectively. This paper explores data provided by a texture analyser and a rheometer compared with that provided by a trained taste panel for semi-solid food.Associations are shown to exist for four different types of cream cheese with respect to the findings of a taste panel, rotational rheometry and texture profile analysis (TPA). Hardness, cohesiveness and adhesiveness are discussed for both taste panel and TPA. Good relationships were found between these techniques for hardness and adhesiveness, cohesiveness exhibited a less satisfactory correlation. In the case of the rheometer, yield stress, complex viscosity and viscoelastic moduli were measured. Yield stress was found to relate to hardness and adhesiveness, and complex viscosity and viscous modulus had relevance for cohesiveness. Elastic modulus, measured by the rheometer, and TPA elastic quality also correlated well. The relationships between textural measurements and microstructural engineering of the products have been discussed. The presence of vegetable gums, in particular addition of guar in instances where fat content is low can reduce the textural impact of the fat removal. The effects of high levels of calcium in spreadable products can be reduced by the addition of citric acid, which has been shown in the past to solubilise colloidal calcium phosphate.Combining instrumental techniques with a taste panel can increase the efficiency product quality assurance and design.  相似文献   

15.
豆沙质地特性的感官评定与仪器分析   总被引:1,自引:0,他引:1  
用质构仪对豆沙进行穿孔、剪切、全质构分析(TPA)以研究其质地特性。分析各质构参数之间的相关性,探索豆沙感官评价和仪器测定参数之间的关系,得出了感官评定指标以仪器测定参数为变量的多元线性回归模型。结果表明:除TPA测试的弹性、凝聚性外,质构仪测试的其他指标如硬度、黏着性、剪切力等均与感官指标有很好的相关性。除感官凝聚性外,穿孔、剪切、全质构分析3种质地测试方法结合使用可以对其余各感官指标进行预测,且各预测模型都有很高的显著性。  相似文献   

16.
17.
以实验室制作的5种手工空心面为研究对象,用质构仪和色差仪分别测定面条的质构指标和色泽指标分析了空心面质构指标、色泽指标与感官指标之间的相关关系,建立了质构、色泽指标与感官指标的逐步回归模型。结果表明:质构仪的9个测量指标最大剪切力、韧性、硬度、黏附性、内聚性、胶着性、咀嚼性、回复性以及色差仪的3个测量指标亮度参数L*、红绿参数A*、黄蓝参数B*与感官评价所有6个单项指标以及总分都存在着极显著的相关关系。逐步回归分析发现,可以仅使用黏附性、内聚性、亮度L*和黄蓝参数B*这2个仪器测量值来代替感官评价总分。  相似文献   

18.
The texture of pecans was determined as affected by initial moisture content before freezing (3 vs 5%), thawing rate (IX, 1.2X, 2.7X, 5.6X), and multiple freeze‐thaw cycles (0, 1X, 3X, 6X, 9X, 12X). Texture was determined by instrumental Texture Profile Analysis (TPA) and sensory evaluation. Initial moisture content before freezing had a significant effect on all of the sensory evaluation parameters (hardness, fracturability, cohesiveness, and denseness) and most of the instrumental TPA texture parameters (hardness, fracturability, springiness, resilience, and chewiness). Thawing rate only affected TPA hardness and resilience. TPA fracturability correlated best with sensory fracturability. The sensory panel could not detect any differences between the different thawing rates. The slowest thawing rate affected more parameters than the medium and faster rates. More freeze/thaw cycles significantly decreased most TPA texture values, especially for pecans at higher moisture content.  相似文献   

19.
目的研究鱼肉质构特性及其仪器测定和感官结果的相关性。方法选用不同腌制时间的加州鲈样品进行仪器质地剖面分析(texture profile analysis,TPA)和感官评价。结果主成分分析实验中,鲈鱼腌制品TPA指标和感官评价指标分别得出2个主成分,累计方差贡献率分别达87.39%和82.17%;腌制时间为2 h时,TPA指标值和感官评价较优。相关性分析结果表明,感官粘聚性与TPA咀嚼性、TPA胶黏性具有显著负相关性(P0.05,r=-0.713;P0.01,r=-0.834),感官胶黏性与TPA硬度显著正相关(P0.05,r=0.805)。结论选取感官指标为因变量,TPA指标为自变量进行逐步回归分析,得到具有统计学意义的感官粘聚性和胶黏性的预测方程,为鲈鱼腌制品在品质评价上的预测提供了依据。  相似文献   

20.
Although innovative at the time of their inception, all the historic and extant instrumental texture profile analysis (TPA) versions have serious methodological flaws. Their measured and calculated parameters, for example, “hardness,” “brittleness,” and “cohesiveness,” bear only a remote relationship to the same properties as understood in material science and other disciplines. The TPA parameters are supposedly objective measures of the tested food's textural attributes. But because they are all specimen size‐dependent, they cannot be considered intensive material properties. Also, because the arbitrary test conditions, notably the specimen and probe's geometries and the set deformation level significantly affect the TPA parameters' magnitudes, assigning them textural term leads to logical inconsistencies, making their relationship to the food's actual properties even more difficult to establish. It is doubtful that the instrumental TPA parameters indeed describe the same properties in different foods and sometimes even within the same food, as in ripening juicy fruits and certain soft cheeses. It is proposed that the TPA parameters currently in use be replaced by a list of mechanical and other physical properties determined by testing methods recognized by material scientists, such as “yield stress,” “strain at failure,” “stiffness,” and “toughness,” perhaps supplemented by a quantitative measure of “juiciness” and/or the acoustic signature's features, especially developed for the particular food. It is also proposed that instead of correlating such intensive material properties with sensory evaluations described by a predetermined sensory vocabulary, they should be used to study the distribution or spectrum of humans' verbal responses, expressed in their own chosen terms.  相似文献   

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