Guotao Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Guotao Yang has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Anzhuo Fan
College of Engineering, China Agricultural University, Beijing 100083, China
1 shared publication - Changwen Ye
Zhengzhou Tobacco Research Institute, China National Tobacco Corporation
1 shared publication - Chen He
Zhengzhou Tobacco Research Institute of China National Tobacco Corporation, Zhengzhou 450001, China
1 shared publication - Kang Ma
National Institute of Metrology of China, Beijing 100029, China
1 shared publication Mingjia Ma
College of Engineering, China Agricultural University
1 shared publication- Mingjia Ma
College of Engineering, China Agricultural University, Beijing 100083, China
1 shared publication
Latest Publications
- 31 August 2026
- Published by Taylor & Francis in Applied Spectroscopy Reviews
- p. 1-45
Application of vibrational spectroscopy in lung cancer diagnosis and treatment: Current status and future directions
1. 1.1. According to the latest global cancer statistics released by the International Agency for Research on Cancer (IARC), there are nearly 20 million new cancer cases and 9.7 million cancer deat...
- 31 August 2026
- Published by Taylor & Francis in Applied Spectroscopy Reviews
- p. 1-45
Application of vibrational spectroscopy in lung cancer diagnosis and treatment: Current status and future directions
1. 1.1. According to the latest global cancer statistics released by the International Agency for Research on Cancer (IARC), there are nearly 20 million new cancer cases and 9.7 million cancer deat...
- Open Access
- 11 August 2026
- Published by MDPI AG in AI Chemistry
- Vol. 1 (3) , 13
Visible–Near-Infrared Hyperspectral Imaging for Rapid Quantitative Detection and Visualization of Complex Multicomponent Adulteration in Beef
Multicomponent beef adulteration is challenging to detect rapidly due to high concealment, complex composition, and overlapping spectral features. This study employed visible–near-infrared hyperspectral imaging (400–1000 nm) combined with a Deep Feature-Enhanced Partial Least Squares Regression (DF-PLSR) model for quantitative detection and visualization of adulteration in beef. A total of 2322 samples were prepared across seven adulteration systems—single (chicken, duck, pork), binary, and ternary—with adulteration ratios from 5% to 50%. The DF-PLSR model outperformed traditional PLSR in all systems, achieving the best performance for chicken adulteration (R2p = 0.9942, RMSEP = 1.31%), with RPD > 5 for all systems. CARS and SPA reduced spectral dimensionality by 85.9% while maintaining R2p > 0.93. Pixel-level visualization achieved prediction errors < 3%, enabling intuitive identification of adulterant spatial distribution. This method provides a rapid, non-destructive, and accurate approach for detecting complex adulteration in beef, with strong potential for food safety monitoring.
- 11 August 2026
- Published by MDPI AG in AI Chemistry
- Vol. 1 (3) , 13
Open AccessVisible–Near-Infrared Hyperspectral Imaging for Rapid Quantitative Detection and Visualization of Complex Multicomponent Adulteration in Beef
Multicomponent beef adulteration is challenging to detect rapidly due to high concealment, complex composition, and overlapping spectral features. This study employed visible–near-infrared hyperspectral imaging (400–1000 nm) combined with a Deep Feature-Enhanced Partial Least Squares Regression (DF-PLSR) model for quantitative detection and visualization of adulteration in beef. A total of 2322 samples were prepared across seven adulteration systems—single (chicken, duck, pork), binary, and ternary—with adulteration ratios from 5% to 50%. The DF-PLSR model outperformed traditional PLSR in all systems, achieving the best performance for chicken adulteration (R2p = 0.9942, RMSEP = 1.31%), with RPD > 5 for all systems. CARS and SPA reduced spectral dimensionality by 85.9% while maintaining R2p > 0.93. Pixel-level visualization achieved prediction errors < 3%, enabling intuitive identification of adulterant spatial distribution. This method provides a rapid, non-destructive, and accurate approach for detecting complex adulteration in beef, with strong potential for food safety monitoring.
- Open Access
Development of a Purity Certified Reference Material for Vinyl Acetate
Vinyl acetate is a restricted substance in food products. The quantification of the organic impurities in vinyl acetate is a major problem due to its activity, instability, and volatility. In this paper, while using the mass balance method to determine the purity of vinyl acetate, an improved method was established for the determination of the content of three impurities in vinyl acetate reference material, and the GC-FID peak area normalization for vinyl acetate was calibrated. The three trace organic impurities were identified by gas chromatography tandem high-resolution mass spectrometry to be methyl acetate, ethyl acetate, and vinyl propionate. The content and relative correction factors for the three organic impurities were measured. The purity of vinyl acetate determined by the mass balance method was 99.90% with an expanded uncertainty of 0.30%, and the total content of organic impurities was 0.08% with a relative correction factor of 1.23%. The vinyl acetate reference material has been approved as a national certified reference material in China as GBW (E) 062710.
Open AccessDevelopment of a Purity Certified Reference Material for Vinyl Acetate
Vinyl acetate is a restricted substance in food products. The quantification of the organic impurities in vinyl acetate is a major problem due to its activity, instability, and volatility. In this paper, while using the mass balance method to determine the purity of vinyl acetate, an improved method was established for the determination of the content of three impurities in vinyl acetate reference material, and the GC-FID peak area normalization for vinyl acetate was calibrated. The three trace organic impurities were identified by gas chromatography tandem high-resolution mass spectrometry to be methyl acetate, ethyl acetate, and vinyl propionate. The content and relative correction factors for the three organic impurities were measured. The purity of vinyl acetate determined by the mass balance method was 99.90% with an expanded uncertainty of 0.30%, and the total content of organic impurities was 0.08% with a relative correction factor of 1.23%. The vinyl acetate reference material has been approved as a national certified reference material in China as GBW (E) 062710.