An overview of variable selection methods in multivariate analysis of near-infrared spectra

YH Yun, HD Li, BC Deng, DS Cao - TrAC Trends in Analytical Chemistry, 2019 - Elsevier
With the advances in innovative instrumentation and various valuable applications, near-
infrared (NIR) spectroscopy has become a mature analytical technique in various fields …

A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data

J Fu, HD Yu, Z Chen, YH Yun - Infrared Physics & Technology, 2022 - Elsevier
Wavelength (variable) selection is considered as a means of solving the curse of
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …

[HTML][HTML] Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken

X Li, M Cai, M Li, X Wei, Z Liu, J Wang, K Jia, Y Han - Food Control, 2023 - Elsevier
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are two important
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …

Rapid detection of chloramphenicol in food using SERS flexible sensor coupled artificial intelligent tools

H Li, W Geng, MM Hassan, M Zuo, W Wei, X Wu… - Food Control, 2021 - Elsevier
The abuse of antibiotics is causing gradually increases drug-resistant bacterial strains,
which pose a threat to economic development and human health around the world …

Hyperspectral imaging in combination with data fusion for rapid evaluation of tilapia fillet freshness

HD Yu, LW Qing, DT Yan, G Xia, C Zhang, YH Yun… - Food Chemistry, 2021 - Elsevier
The potential of two different hyperspectral imaging systems (visible near infrared
spectroscopy (Vis-NIR) and NIR) was investigated to determine TVB-N contents in tilapia …

Green analytical assay for the quality assessment of tea by using pocket-sized NIR spectrometer

Y Wang, M Li, L Li, J Ning, Z Zhang - Food Chemistry, 2021 - Elsevier
Rapid and low-cost testing tools provide new methods for the evaluation of tea quality. In this
study, a micro near-infrared (NIR) spectrometer was used for the qualitative and quantitative …

A hybrid variable selection strategy based on continuous shrinkage of variable space in multivariate calibration

YH Yun, J Bin, DL Liu, L Xu, TL Yan, DS Cao… - Analytica chimica …, 2019 - Elsevier
When analyzing high-dimensional near-infrared (NIR) spectral datasets, variable selection
is critical to improving models' predictive abilities. However, some methods have many …

A bootstrapping soft shrinkage approach for variable selection in chemical modeling

BC Deng, YH Yun, DS Cao, YL Yin, WT Wang… - Analytica chimica …, 2016 - Elsevier
In this study, a new variable selection method called bootstrapping soft shrinkage (BOSS)
method is developed. It is derived from the idea of weighted bootstrap sampling (WBS) and …

Hyperspectral imaging combined with convolutional neural network for accurately detecting adulteration in Atlantic salmon

P Li, S Tang, S Chen, X Tian, N Zhong - Food Control, 2023 - Elsevier
Fraud frequently occurs in Atlantic salmon market and is difficult or impossible to detect
through visual inspection. This study was implemented to investigate the potential of two …

Application of visible-near-infrared hyperspectral imaging technology coupled with wavelength selection algorithm for rapid determination of moisture content of …

Z Guo, J Zhang, C Ma, X Yin, Y Guo, X Sun… - Journal of Food …, 2023 - Elsevier
Moisture content is a crucial factor affecting the quality of soybean seeds. However, the
determination of moisture content of soybean seeds is time-consuming and expensive. In …