Lu Xu

ORCID: 0000-0003-4742-5623
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Advanced Chemical Sensor Technologies
  • Metabolomics and Mass Spectrometry Studies
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Water Quality Monitoring and Analysis
  • Identification and Quantification in Food
  • Computational Drug Discovery Methods
  • Meat and Animal Product Quality
  • Flowering Plant Growth and Cultivation
  • Phytochemicals and Antioxidant Activities
  • Fault Detection and Control Systems
  • Advanced Statistical Methods and Models
  • Analytical Chemistry and Chromatography
  • Machine Learning in Materials Science
  • Motor Control and Adaptation
  • Carbon and Quantum Dots Applications
  • Plant Diversity and Evolution
  • Traditional Chinese Medicine Analysis
  • Pesticide Residue Analysis and Safety
  • Electrochemical sensors and biosensors
  • Botanical Research and Applications
  • Protein Structure and Dynamics
  • Tea Polyphenols and Effects
  • Plant Gene Expression Analysis
  • Plant Physiology and Cultivation Studies

Tongren University
2015-2024

Hunan Agricultural University
2009-2023

Guizhou University
2023

Hunan University
2006-2020

Zhejiang University of Technology
2010-2019

Tiangong University
2019

BOE Technology Group (China)
2019

Institute of Software
2019

Beihang University
2019

Harbin University
2018

Contemporary landscape architecture studies have paid close attention to the interactions between public aesthetic preferences and environment. Scenic beauty has become an important evaluation indicator of quality. The quality plant color is factor affecting scenic beauty. Exploring relationship composition rules internal properties autumn landscapes in urban parks can provide new ideas for design community landscapes. Taking 12 Changsha City, Hunan Province, China, as study area 85...

10.3390/su15043119 article EN Sustainability 2023-02-08

In this paper, mid- and near-infrared spectroscopy fingerprints were combined to simultaneously discriminate 12 famous green teas quantitatively characterize their antioxidant activities using chemometrics. A supervised pattern recognition method based on partial least square discriminant analysis (PLSDA) was adopted classify the with different species quality grades, then optimized sample-weighted least-squares support vector machine (OSWLS-SVM) particle swarm optimization employed...

10.1155/2019/4372395 article EN cc-by Journal of Analytical Methods in Chemistry 2019-01-02

Untargeted detection of protein adulteration in Chinese yogurt was performed using near-infrared (NIR) spectroscopy and chemometrics class modelling techniques. sixty samples were prepared with pure fresh milk from local market, 197 adulterated by blending the objects different levels edible gelatin, industrial soy powder, which have been frequently used for adulteration. A recently proposed one-class partial least squares (OCPLS) model to NIR spectra analyze those future objects. To improve...

10.1155/2013/201873 article EN cc-by Journal of Analytical Methods in Chemistry 2013-01-01

Abstract This investigation was aimed at developing a rapid analysis method for authentication of Chinese sesame oils by FTIR spectrometry and chemometrics. Ninety‐five oil samples were collected from the six main producing areas China to include most if not all significant spectral variations likely be encountered in future authentic materials. Two class modeling techniques, soft independent analogy (SIMCA) partial least squares model (PLSCM) investigated data preprocessing techniques...

10.1007/s11746-011-2004-8 article EN Journal of the American Oil Chemists Society 2012-01-12

This paper focuses on a rapid and nondestructive way to discriminate the geographical origin of Anxi-Tieguanyin tea by near-infrared (NIR) spectroscopy chemometrics. 450 representative samples were collected from Anxi County, original producing area Tieguanyin tea, another 120 with similar appearance unprotected areas in China. All these measured NIR. The Stahel-Donoho estimates (SDE) outlyingness diagnosis was used remove outliers. Partial least squares discriminant analysis (PLSDA)...

10.1155/2014/704971 article EN cc-by Journal of Analytical Methods in Chemistry 2014-01-01

10.1016/j.chemolab.2006.06.001 article EN Chemometrics and Intelligent Laboratory Systems 2006-07-11

The Partial least squares class model (PLSCM) was recently proposed for multivariate quality control based on a partial (PLS) regression procedure. This paper presents case study of peanut oils mid‐infrared (MIR) spectroscopy and models, focusing mainly the following aspects: (i) to explain meanings PLSCM components make comparisons between soft independent modeling analogy (SIMCA); (ii) correct estimation original confidence interval by considering nonzero intercept term center estimation;...

10.1002/cem.1402 article EN Journal of Chemometrics 2011-10-01

10.1016/j.chemolab.2018.02.008 article EN Chemometrics and Intelligent Laboratory Systems 2018-02-20

This study aimed to provide comprehensive health beneficial profiles of fermented soy products and further reference values vitamin B2 B12 GABA enrichment products. High performance liquid chromatography (HPLC) analyses were applied systemically investigate the vitamins GABA. The highest content 6.06 μg g−1 was detected in "Wangzhihe" sufu. All natto samples showed relatively higher with an average value 3.35 compared other "Liubiju" dry yellow soybean paste 732.94 ng g−1. sufu presented...

10.1111/jfpp.13126 article EN Journal of Food Processing and Preservation 2016-09-21
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