X
Xuan Zhang
Researcher at East China University of Science and Technology
Publications - 11
Citations - 156
Xuan Zhang is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Analyte & Partial least squares regression. The author has an hindex of 5, co-authored 11 publications receiving 137 citations.
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Improvement of near infrared spectroscopic (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS).
TL;DR: The results provided by the high-quality calibration model revealed the feasibility of N IR spectroscopy for at-line application to predict the caffeine content of unknown roasted coffee samples, thanks to the short analysis time of a few seconds and non-destructive advantages of NIRS.
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Calibration transfer of near‐infrared spectra for extraction of informative components from spectra with canonical correlation analysis
TL;DR: In this paper, a new calibration transfer method that applies canonical correlation analysis (CCA) to transfer the informative components extracted from a spectral dataset is proposed to reduce the interference of noise, background and non-predicted properties.
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Pretreating near infrared spectra with fractional order Savitzky–Golay differentiation (FOSGD)
TL;DR: In this paper, fractional order Savitzky-Golay differentiation (FOSGD) is calculated and applied to pretreat near infrared (NIR) spectra in order to improve the performance of multivariate calibrations.
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Development of on-line spectroscopic determination approach of dispersive liquid–liquid microextraction based on an effective device
TL;DR: A novel, rapid, simple, and low-cost on-line determination approach of dispersive liquid-liquid microextraction with low-density solvents was developed with the support of a specially designed effective homemade device and was successfully employed to quantify rhodamine B in three real samples.
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Geographical classification of Nanfeng mandarin by near infrared spectroscopy coupled with chemometrics methods
TL;DR: In this article, a reduced-spectrum classification model for determining the geographical origins of Nanfeng mandarins has been developed using near infrared spectroscopy (NIRS) and principal component analysis (PCA).