Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-variable selection strategy based on near-infrared spectra for the rapid description of dianhong black tea quality
Authors
Keywords
Black tea, Quality description, Near-infrared spectra, Multi-variable selection
Journal
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Volume 245, Issue -, Pages 118918
Publisher
Elsevier BV
Online
2020-09-06
DOI
10.1016/j.saa.2020.118918
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Rapid Sensing of Key Quality Components in Black Tea Fermentation Using Electrical Characteristics Coupled to Variables Selection Algorithms
- (2020) Chunwang Dong et al. Scientific Reports
- Evaluation of machine learning methods for organic apple authentication based on diffraction grating and image processing
- (2020) Weiran Song et al. JOURNAL OF FOOD COMPOSITION AND ANALYSIS
- Intelligent assessment of tea quality employing visible-near infrared spectra combined with a hybrid variable selection strategy
- (2020) Guangxin Ren et al. MICROCHEMICAL JOURNAL
- Determination of soluble solids content in oranges using visible and near infrared full transmittance hyperspectral imaging with comparative analysis of models
- (2020) Hailiang Zhang et al. POSTHARVEST BIOLOGY AND TECHNOLOGY
- Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection
- (2020) Guangxin Ren et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality
- (2020) Guangxin Ren et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Recent developments in vibrational spectroscopic techniques for tea quality and safety analyses
- (2020) Xiaohui Lin et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Identification of Chinese teas by a colorimetric sensor array based on tea polyphenol induced indicator displacement assay
- (2020) Mingyan Jia et al. FOOD CHEMISTRY
- The Quality Control of Tea by Near-Infrared Reflectance (NIR) Spectroscopy and Chemometrics
- (2019) Ming-Zhi Zhu et al. Journal of Spectroscopy
- Mountain railway alignment optimization using stepwise & hybrid particle swarm optimization incorporating genetic operators
- (2019) Hao Pu et al. APPLIED SOFT COMPUTING
- Rapid screening of phenolic compounds in congou black tea ( Camellia sinensis ) during in vitro fermentation process using portable spectral analytical system coupled chemometrics
- (2019) Muhammad Zareef et al. JOURNAL OF FOOD PROCESSING AND PRESERVATION
- Comparison of algorithms for wavelength variables selection from near-infrared (NIR) spectra for quantitative monitoring of yeast (Saccharomyces cerevisiae) cultivations
- (2019) Hui Jiang et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Chemistry and Biological Activities of Processed Camellia sinensis Teas: A Comprehensive Review
- (2019) Liang Zhang et al. COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
- Tea aroma formation from six model manufacturing processes
- (2019) Zhihui Feng et al. FOOD CHEMISTRY
- Determination of Adulteration Content in Extra Virgin Olive Oil Using FT-NIR Spectroscopy Combined with the BOSS–PLS Algorithm
- (2019) Hui Jiang et al. MOLECULES
- Innovative and rapid analysis for rice authenticity using hand-held NIR spectrometry and chemometrics
- (2019) Ernest Teye et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- NIR spectroscopy-multivariate analysis for discrimination and bioactive compounds prediction of different Citrus species peels
- (2019) Eman Shawky et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Multivariate effects of Chinese keemun black tea grades (Camellia sinensis var. sinensis) on the phenolic composition, antioxidant, antihemolytic and cytotoxic/cytoprotection activities
- (2019) Liang Zhang et al. FOOD RESEARCH INTERNATIONAL
- Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics
- (2019) Yu‐Jie Wang et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Applicability of multifunctional preprocessing device for simultaneous estimation of spreading of green tea, withering of black tea and shaking of oolong tea
- (2019) Guangxin Ren et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Quantitative analysis of yeast fermentation process using Raman spectroscopy: Comparison of CARS and VCPA for variable selection
- (2019) Hui Jiang et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices
- (2019) Patrizia Firmani et al. FOOD CHEMISTRY
- Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies
- (2019) Kizito Kene Ejeahalaka et al. FOOD CHEMISTRY
- Characterization of the orchid-like aroma contributors in selected premium tea leaves
- (2019) Zhihui Feng et al. FOOD RESEARCH INTERNATIONAL
- Evaluating aroma quality of black tea by an olfactory visualization system: Selection of feature sensor using particle swarm optimization
- (2019) Hui Jiang et al. FOOD RESEARCH INTERNATIONAL
- Use of near-infrared hyperspectral (NIR-HS) imaging to visualize and model the maturity of long-ripening hard cheeses
- (2019) Hasitha Priyashantha et al. JOURNAL OF FOOD ENGINEERING
- Application of machine learning algorithms in quality assurance of fermentation process of black tea-- based on electrical properties
- (2019) Hongkai Zhu et al. JOURNAL OF FOOD ENGINEERING
- Non-destructive determination of taste-related compounds in tomato using NIR spectra
- (2019) Ginés Ibáñez et al. JOURNAL OF FOOD ENGINEERING
- High precision qualitative identification of yeast growth phases using molecular fusion spectra
- (2019) Hui Jiang et al. MICROCHEMICAL JOURNAL
- Linear and nonlinear classification models for tea grade identification based on the elemental profile
- (2019) Liuwei Meng et al. MICROCHEMICAL JOURNAL
- Recognition of polycyclic aromatic hydrocarbons using fluorescence spectrometry combined with bird swarm algorithm optimization support vector machine
- (2019) Shutao Wang et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds
- (2019) Liu Zhang et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Prediction of amino acids, caffeine, theaflavins and water extract in black tea using FT-NIR spectroscopy coupled chemometrics algorithms
- (2018) Muhammad Zareef et al. Analytical Methods
- Rapid determination by near infrared spectroscopy of theaflavins-to-thearubigins ratio during Congou black tea fermentation process
- (2018) Chunwang Dong et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Application of FT-NIR spectroscopy for simultaneous estimation of taste quality and taste-related compounds content of black tea
- (2018) Quansheng Chen et al. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
- Evaluating green tea quality based on multisensor data fusion combining hyperspectral imaging and olfactory visualization systems
- (2018) Luqing Li et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Prediction of Congou Black Tea Fermentation Quality Indices from Color Features Using Non-Linear Regression Methods
- (2018) Chunwang Dong et al. Scientific Reports
- Feature selection based on artificial bee colony and gradient boosting decision tree
- (2018) Haidi Rao et al. APPLIED SOFT COMPUTING
- Determination of insect infestation on stored rice by near infrared (NIR) spectroscopy
- (2018) Alessandra Biancolillo et al. MICROCHEMICAL JOURNAL
- Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines
- (2018) Fudong Zhang et al. INFRARED PHYSICS & TECHNOLOGY
- Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
- (2017) Torgyn Shaikhina et al. Biomedical Signal Processing and Control
- Using iSPA-PLS and NIR spectroscopy for the determination of total polyphenols and moisture in commercial tea samples
- (2015) P. H. G. D. Diniz et al. Analytical Methods
- Detection and Quantification of Sugar and Glucose Syrup in Roasted Green Tea Using near Infrared Spectroscopy
- (2015) Li Luqing et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Back Propagation-Artificial Neural Network Model for Prediction of the Quality of Tea Shoots through Selection of Relevant Near Infrared Spectral Data via Synergy Interval Partial Least Squares
- (2012) Shengpeng Wang et al. ANALYTICAL LETTERS
- Quantitative analysis and geographical traceability of black tea using Fourier transform near-infrared spectroscopy (FT-NIRS)
- (2012) Guangxin Ren et al. FOOD RESEARCH INTERNATIONAL
- Exploring nonlinear relationships in chemical data using kernel-based methods
- (2011) Dong-Sheng Cao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A decision tree method for building energy demand modeling
- (2010) Zhun Yu et al. ENERGY AND BUILDINGS
- Principles of Proper Validation: use and abuse of re-sampling for validation
- (2010) Kim H. Esbensen et al. JOURNAL OF CHEMOMETRICS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started