Shibo Gao

Identification of antioxidants in edible oil by two-dimensional correlation spectroscopy combined with deep learning

Xijun Wu, Yudong Niu, Shibo Gao, 2022, LWT.

Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil.

Xijun Wu, Yudong Niu, Shibo Gao, 2020, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil.

Xijun Wu, Yudong Niu, Shibo Gao, 2020, Food chemistry.

Disposal and resource utilization of waste masks: a review

Ning Li, Shibo Gao, Guanyi Chen, 2023, Environmental Science and Pollution Research.

Quantitative analysis of blended corn-olive oil based on Raman spectroscopy and one-dimensional convolutional neural network.

Xijun Wu, Yudong Niu, Shibo Gao, 2022, Food chemistry.

Botanical origin identification and adulteration quantification of honey based on Raman spectroscopy combined with convolutional neural network

Xijun Wu, Yudong Niu, Shibo Gao, 2022, Vibrational Spectroscopy.

Identification and quantification of adulterated honey by Raman spectroscopy combined with convolutional neural network and chemometrics.

Xijun Wu, Yudong Niu, Shibo Gao, 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Identification of olive oil in vegetable blend oil by one-dimensional convolutional neural network combined with Raman spectroscopy

Xijun Wu, Yudong Niu, Shibo Gao, 2022, Journal of Food Composition and Analysis.

Detection of antioxidants in edible oil by two-dimensional correlation spectroscopy combined with convolutional neural network

Xijun Wu, Yudong Niu, Shibo Gao, 2023, Journal of Food Composition and Analysis.