Immunobiology for Aquaculture Group, Department of Cell Biology and Histology, Faculty of Biology, University of Murcia, Campus Regional de Excelencia Internacional "Campus Mare Nostrum", 30100, Murcia, Spain.
Preclinical Imaging Unit, Laboratory Animal Service, Core Facilities University of Murcia, 30120, Murcia, Spain.
Sci Rep. 2020 Jun 29;10(1):10527. doi: 10.1038/s41598-020-67435-2.
In fish, the fat content contributes to promoting the nutritional and organoleptic characteristics of the flesh, which is crucial for consumer acceptance. Methods to predict the fat in fish are important in nutritional and physiological research, where body content is traditionally determined by dissection followed by chemical analysis. However, X-ray micro-computed tomography (micro-CT) provides three-dimensional information in a non-destructive way. This work aims to characterize radiologically the fat, in situ, in a widely cultivated marine species, gilthead seabream (Sparus aurata). To validate the method changes in fat content in a control group (fed) and another group (unfed for 60 days) were assessed. Fish images were acquired on an Albira SPECT/PET/CT preclinical-scanner. Image analysis and measurements were performed using the Carestream Molecular Imaging Albira CT system in conjunction with Pmod and Amide packages. By micro-CT analysis the density values were determined for the whole fish body (- 1,000 to + 2,500 HU, Hounsfield units), and density ranges for the fat in S. aurata were established from - 115 to + 50 HU. As expected, significant differences were found between fed and starved groups at 60 days. The present study confirms the usefulness of high-resolution morphological analysis for evaluating the presence and distribution of fat in this important fish species.
在鱼类中,脂肪含量有助于促进肉质的营养价值和感官特性,这对消费者的接受度至关重要。预测鱼类脂肪的方法在营养和生理研究中很重要,传统上通过解剖后进行化学分析来确定体内脂肪含量。然而,X 射线微计算机断层扫描(micro-CT)以非破坏性的方式提供了三维信息。本研究旨在对广泛养殖的海水鱼品种——真鲷(Sparus aurata)的脂肪进行原位放射学特征描述。为了验证该方法,我们评估了对照组(喂食组)和另一组(禁食 60 天组)的脂肪含量变化。使用 Albira SPECT/PET/CT 临床前扫描仪采集鱼类图像。使用 Carestream Molecular Imaging Albira CT 系统结合 Pmod 和 Amide 软件包进行图像分析和测量。通过 micro-CT 分析,确定了整个鱼体的密度值(-1000 至+2500 HU,亨氏单位),并确定了真鲷脂肪的密度范围为-115 至+50 HU。正如预期的那样,在 60 天时,喂食组和禁食组之间存在显著差异。本研究证实了高分辨率形态分析在评估这种重要鱼类中脂肪的存在和分布方面的有用性。