Textural Analysis of Sea Lamprey Muscle From Guadiana and Mondego Rivers (Portugal) Using the Warner-Bratzler Shear Method

IF 2.5 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Journal of texture studies Pub Date : 2025-01-06 DOI:10.1111/jtxs.70002
Ana Cristina Agulheiro-Santos, Graça Machado, Teresa Eusébio, Maria João Lança
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Abstract

Assessment of sea lamprey texture from the Guadiana and Mondego River basins. Lamprey has served as food for centuries, and nowadays it is highly appreciated, mainly in southern European countries. Therefore, the quality requirements of the lamprey are closely scrutinized by consumers. The texture is commonly referred to as tenderness, and is one crucial sensory attribute valued by consumers. A deep search for scientific publications about texture evaluation of lamprey allows us to conclude that there is no work published. So, a wide review was carried out on methods for evaluating fish texture. This study aims: (i) to assess the texture of specimens caught in two Portuguese rivers, Guadiana, and Mondego and (ii) to validate the Warner-Bratzler shear method for assessing sea lamprey's texture. Our results on texture of sea lampreys caught in Guadiana and Mondego River basins revealed significant differences in texture parameters, obtained through the Warner Bratzler test. Sea lamprey from Guadiana River basin exhibited lower values of firmness (123.15 N) and energy indicating softer flesh, and lampreys from Mondego River basin displayed higher firmness values (147.37 N), indicating harder flesh. This study confirmed the adequacy of the Warner-Bratzler shear method for assessing sea lamprey texture due to its sensitivity and accuracy in measuring the texture parameters obtained through force deformation curve. This knowledge will allow future studies to use a consistent method to assess texture. The certification of regional food products increases fishing communities' income and gives consumers greater confidence in the quality of these delicatessen products.

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用Warner-Bratzler剪切法分析葡萄牙Guadiana河和Mondego河的七鳃鳗肌肉结构
瓜迪亚纳河和蒙台哥河流域海七鳃鳗结构的评价。七鳃鳗作为食物已经有几个世纪了,现在主要在南欧国家受到高度赞赏。因此,消费者会密切关注七鳃鳗的质量要求。质地通常被称为柔嫩,是消费者重视的一个关键感官属性。深入搜索有关七鳃鳗质地评价的科学出版物,我们可以得出结论,没有发表的工作。因此,对鱼类质地的评价方法进行了广泛的综述。本研究的目的是:(i)评估在葡萄牙两条河流Guadiana和Mondego捕获的样本的质地;(ii)验证用于评估海七鳃鳗质地的Warner-Bratzler剪切法。我们对Guadiana河和Mondego河流域捕获的七鳃鳗的纹理结果显示,通过Warner Bratzler测试获得的纹理参数存在显著差异。瓜迪亚纳河流域的七鳃鳗硬度值较低(123.15 N),能量较弱,肉质较软;蒙台戈河流域的七鳃鳗硬度值较高(147.37 N),肉质较硬。本研究证实了Warner-Bratzler剪切法在测量力变形曲线获得的纹理参数时的灵敏度和准确性,是评估七鳃鳗纹理的适当方法。这些知识将使未来的研究使用一致的方法来评估纹理。区域食品的认证增加了渔业社区的收入,并使消费者对这些熟食产品的质量更有信心。
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来源期刊
Journal of texture studies
Journal of texture studies 工程技术-食品科技
CiteScore
6.30
自引率
9.40%
发文量
78
审稿时长
>24 weeks
期刊介绍: The Journal of Texture Studies is a fully peer-reviewed international journal specialized in the physics, physiology, and psychology of food oral processing, with an emphasis on the food texture and structure, sensory perception and mouth-feel, food oral behaviour, food liking and preference. The journal was first published in 1969 and has been the primary source for disseminating advances in knowledge on all of the sciences that relate to food texture. In recent years, Journal of Texture Studies has expanded its coverage to a much broader range of texture research and continues to publish high quality original and innovative experimental-based (including numerical analysis and simulation) research concerned with all aspects of eating and food preference. Journal of Texture Studies welcomes research articles, research notes, reviews, discussion papers, and communications from contributors of all relevant disciplines. Some key coverage areas/topics include (but not limited to): • Physical, mechanical, and micro-structural principles of food texture • Oral physiology • Psychology and brain responses of eating and food sensory • Food texture design and modification for specific consumers • In vitro and in vivo studies of eating and swallowing • Novel technologies and methodologies for the assessment of sensory properties • Simulation and numerical analysis of eating and swallowing
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