Design of smartphone-based spectrometer to assess fresh meat color

Design of smartphone-based spectrometer to assess fresh meat color
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基于智能手机的光谱仪评估鲜肉颜色的设计

DOI:
10.1117/12.2253414
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发表时间:
2017
影响因子:
5.2
通讯作者:
E. Bae
E. Bae
中科院分区:
生物学2区
文献类型:
--
作者:
Youngkee Jung;Hyun;Y. H. Kim;E. Bae

文献摘要

被引文献

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基于其集成摄像头、新的光学附件和固有的计算能力,我们提出了一种仪器设计和验证,有可能提供一种客观、准确的方法,使用基于智能手机的光谱仪确定表面肉颜色变化和肌红蛋白氧化还原形式。系统设计用作反射光谱仪,模仿通常用于肉类颜色评估的传统光谱测定法。我们利用 3D 打印技术制造光学支架,其中包含用于光收集、准直、色散的所有光学组件和合适的腔室。反射样品的光进入针孔,随后被凸透镜准直。衍射光栅将波长分散到相机的像素上,以显示高分辨率的光谱。通过三个不同波长的激光笔转换智能手机图像中的像素值来校准波长值; 405、532、650 纳米。使用内部应用程序,相机图像根据外部光源转换为可见波长范围内的光谱。进行了模拟肉类冷藏和货架的对照实验,结果表明能够以定量和光谱方式准确测量颜色变化。我们期望该技术能够适用于任何智能手机,并用于进行可现场部署的色谱分析,作为各种食品行业更实用的应用工具。
Based on its integrated camera, new optical attachment, and inherent computing power, we propose an instrument design and validation that can potentially provide an objective and accurate method to determine surface meat color change and myoglobin redox forms using a smartphone-based spectrometer. System is designed to be used as a reflection spectrometer which mimics the conventional spectrometry commonly used for meat color assessment. We utilize a 3D printing technique to make an optical cradle which holds all of the optical components for light collection, collimation, dispersion, and a suitable chamber. A light, which reflects a sample, enters a pinhole and is subsequently collimated by a convex lens. A diffraction grating spreads the wavelength over the camera’s pixels to display a high resolution of spectrum. Pixel values in the smartphone image are translated to calibrate the wavelength values through three laser pointers which have different wavelength; 405, 532, 650 nm. Using an in-house app, the camera images are converted into a spectrum in the visible wavelength range based on the exterior light source. A controlled experiment simulating the refrigeration and shelving of the meat has been conducted and the results showed the capability to accurately measure the color change in quantitative and spectroscopic manner. We expect that this technology can be adapted to any smartphone and used to conduct a field-deployable color spectrum assay as a more practical application tool for various food sectors.