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Food Analytical Methods

, Volume 12, Issue 10, pp 2205–2215 | Cite as

Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef

  • Hongzhe Jiang
  • Wei WangEmail author
  • Hong Zhuang
  • Seung-Chul Yoon
  • Yi Yang
  • Xin Zhao
Article

Abstract

Hyperspectral imaging (HSI) was investigated to detect and visualize beef adulteration with duck meat. Minced beef was adulterated with duck meat in range of 0–100% (w/w) at 10% increments. Visible and near-infrared (VNIR) hyperspectral images were acquired, and extracted spectra were analyzed with preprocessing methods. Partial least squares regression (PLSR) and principal component regression (PCR) modeling methods were individually utilized, and the PLSR model based on full raw spectra performed best. To make the preferred model practical, optimal wavelengths were individually selected using two-dimensional correlation spectroscopy (2D-COS) and PC loadings. The model based on competent wavelengths selected from PC loadings resulted in good performance of Rp2 = 0.96, RMSEP = 6.58%, and RPD = 4.86 with limit of detection (LOD) of 7.59%. Finally, spatially distributed visualization was achieved using the simplified model, and adulteration levels were readily discernible. Known distributed samples were also successfully visualized, and the validity of visualization was thus proved. Results demonstrated the potential of the HSI to detect minced beef adulteration with duck meat.

Keywords

Hyperspectral imaging Near-infrared Beef adulteration Duck meat Two-dimensional correlation spectroscopy Visualization 

Notes

Funding Information

This work was supported by the National Natural Science Foundation of China (Grant NO. 31772062).

Compliance with Ethical Standards

Conflict of Interest

Hongzhe Jiang declares that he has no conflict of interest. Wei Wang declares that he has no conflict of interest. Hong Zhuang declares that he has no conflict of interest. Seung-Chul Yoon declares that he has no conflict of interest. Yi Yang declares that he has no conflict of interest. Xin Zhao declares that she has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Not applicable.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of EngineeringChina Agricultural UniversityBeijingChina
  2. 2.Quality & Safety Assessment Research UnitU. S. National Poultry Research Center, USDA-ARSAthensUSA

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