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首页> 外文期刊>Journal of texture studies >Acoustic settings combination as a sensory crispness indicator of dry crispy food
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Acoustic settings combination as a sensory crispness indicator of dry crispy food

机译:声学设置组合可作为干脆食品的感官脆度指标

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摘要

Crispness is a critical attribute of quality for crispy products, which can be evaluated through both instrumental and sensory analyses. The aim of the study was to identify the best combination of settings of a device coupled to a texture analyzer for acoustic analysis in order to find strong correlations with the sensory texture. For that, nine commercial food products were submitted to force and acoustic (acoustic envelope detector) analyses, using two settings for acoustic data acquisition (gain 1 and gain 4), and two settings for acoustic data management (threshold 0.5 and 2.5). The products were also evaluated using texture descriptive sensory analysis. The gain changing from 1 to 4 (enhancing the test sensitivity) increased the number of acoustic peaks and reduced the sound pressure level. Changing the threshold from 0.5 to 2.5 (reducing the interference of background noise on the acquired data) reduced the number of acoustic peaks. The correlation between the instrumental and the sensory analysis showed gain 1 as the most adequate acoustic setting to obtain the acoustic parameters of products with different crispness intensities. Moreover, threshold 2.5 is the most appropriate for acoustic data collection. Therefore, sensory attributes and instrumental properties strong correlations indicate that texture analyzer in combination with the acoustic envelope detector is a good instrument to mimic human mastication and texture perception, through both force and sound stimuli. This study about dry crisp food may contribute to the literature and food industry, as well to future studies about wet crispy and crunchy foods.
机译:脆度是脆皮产品质量的关键属性,可以通过仪器和感官分析对其进行评估。这项研究的目的是确定与用于声音分析的纹理分析仪耦合的设备设置的最佳组合,以便找到与感官纹理的强相关性。为此,使用两种设置进行声学数据采集(增益1和增益4)和两种设置进行声学数据管理(阈值0.5和2.5),将9种商品食品进行了力和声学(声学包络线检测器)分析。还使用纹理描述感官分析评估了产品。从1到4的增益变化(提高测试灵敏度)增加了声峰的数量并降低了声压级。将阈值从0.5更改为2.5(可减少背景噪声对所采集数据的干扰)可减少声学峰的数量。仪器分析和感官分析之间的相关性表明,增益1是获得具有不同脆度的产品的声学参数的最适当的声学设置。此外,阈值2.5最适合于声学数据收集。因此,感官属性和仪器属性之间的强相关性表明,纹理分析仪与声学包络线检测器结合使用,是通过力和声音刺激来模仿人类咀嚼和纹理感知的良好工具。有关干脆性食品的这项研究可能有助于文学和食品工业,以及有关湿脆性和松脆食品的未来研究。

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