Suppr超能文献

利用太赫兹波的无损蛋壳厚度测量技术。

A Nondestructive Eggshell Thickness Measurement Technique Using Terahertz Waves.

机构信息

Laboratory of Bio-Sensing Engineering, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan.

Faculty of Agricultural Engineering and Technology, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.

出版信息

Sci Rep. 2020 Jan 23;10(1):1052. doi: 10.1038/s41598-020-57774-5.

Abstract

Eggshells play a number of important roles in the avian and reptile kingdom: protection of internal contents and as a major source of minerals for developing embryos. However, when researching these respective roles, eggshell thickness measurement remains a bottleneck due to the lack of a non-destructive measurement techniques. As a result, many avian and reptile research protocols omit consideration of eggshell thickness bias on egg or embryo growth and development. Here, we validate a non-destructive method to estimate eggshell thickness based on terahertz (THz) reflectance spectroscopy using chicken white coloured eggs. Since terahertz waves are reflected from outer air-eggshell interface, as well as the inner eggshell-membrane boundary, the resulting interference signals depend on eggshell thickness. Thus, it is possible to estimate shell thickness from the oscillation distance in frequency-domain. A linear regression-based prediction model for non-destructive eggshell thickness measurement was developed, which had a coefficient of determination (R) of 0.93, RMSEP of 0.009, RPD of 3.45 and RER 13.67. This model can estimate eggshell thickness to a resolution of less than 10 μm. This method has the potential to expand the protocols in the field of avian and reptile research, as well as be applied to industrial grading of eggs.

摘要

蛋壳在鸟类和爬行动物王国中发挥着许多重要作用

保护内部内容物和作为胚胎发育的主要矿物质来源。然而,在研究这些各自的角色时,由于缺乏非破坏性的测量技术,蛋壳厚度的测量仍然是一个瓶颈。因此,许多鸟类和爬行动物研究方案忽略了蛋壳厚度偏差对蛋或胚胎生长和发育的影响。在这里,我们使用白色鸡蛋验证了一种基于太赫兹(THz)反射光谱的非破坏性蛋壳厚度估计方法。由于太赫兹波从外壳-空气界面以及蛋壳-膜内界反射,因此产生的干涉信号取决于蛋壳厚度。因此,从频域中的振荡距离可以估计壳厚度。开发了一种基于线性回归的非破坏性蛋壳厚度测量预测模型,该模型的决定系数(R)为 0.93,RMSEP 为 0.009,RPD 为 3.45,RER 为 13.67。该模型可以估计蛋壳厚度的分辨率低于 10μm。该方法有可能扩展鸟类和爬行动物研究领域的方案,并应用于鸡蛋的工业分级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76fa/6978418/f532443c7a67/41598_2020_57774_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验