Related references
Note: Only part of the references are listed.Non-destructive determination of four tea polyphenols in fresh tea using visible and near-infrared spectroscopy
Wei Luo et al.
INFRARED PHYSICS & TECHNOLOGY (2022)
Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach
Maxime Ryckewaert et al.
BIOSYSTEMS ENGINEERING (2022)
Near-infrared spectroscopy and machine learning-based technique to predict quality-related parameters in instant tea
Xiaoli Bai et al.
SCIENTIFIC REPORTS (2022)
Electronic Sensor Technologies in Monitoring Quality of Tea: A Review
Seyed Mohammad Taghi Gharibzahedi et al.
BIOSENSORS-BASEL (2022)
Citrus Huanglongbing detection and semi-quantification of the carbohydrate concentration based on micro-FTIR spectroscopy
Biyun Yang et al.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2022)
Effect of variable selection and rapid determination of total tea polyphenols contents in Fuzhuan tea by near-infrared spectroscopy
Jing-Xue Liu et al.
CYTA-JOURNAL OF FOOD (2022)
Intelligent evaluation of free amino acid and crude protein content in raw peanut seed kernels using NIR spectroscopy paired with multivariable calibration
Suleiman A. Haruna et al.
ANALYTICAL METHODS (2022)
Prediction of tea theanine content using near-infrared spectroscopy and flower pollination algorithm
Pauline Ong et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2021)
Optimized adaptive Savitzky-Golay filtering algorithm based on deep learning network for absorption spectroscopy
Guosheng Zhang et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2021)
EGCG, a green tea polyphenol, inhibits human coronavirus replication in vitro
Minsu Jang et al.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2021)
Tea moisture content detection with multispectral and depth images
Yuzhen Wei et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Assessing black tea quality based on visible ? near infrared spectra and kernel-based methods
Guangxin Ren et al.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS (2021)
Special Issue Application of Spectroscopy in Food Analysis
Alessandra Biancolillo et al.
APPLIED SCIENCES-BASEL (2021)
Fermentation quality evaluation of tea by estimating total catechins and theanine using near-infrared spectroscopy
Suming Chen et al.
VIBRATIONAL SPECTROSCOPY (2021)
Polyphenol Nanoparticles from Commonly Consumed Tea for Scavenging Free Radicals, Stabilizing Pickering Emulsions, and Inhibiting Cancer Cells
Guangcan Chen et al.
ACS APPLIED NANO MATERIALS (2021)
Comparison of three second-order multivariate calibration methods for the rapid identification and quantitative analysis of tea polyphenols in Chinese teas using high-performance liquid chromatography
Xiao-Hua Zhang et al.
JOURNAL OF CHROMATOGRAPHY A (2020)
Simultaneous determination of antioxidant properties and total phenolic content of Siraitia grosvenorii by near infrared spectroscopy
Jun Yan et al.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION (2020)
Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy
Yifeng Huang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves
Yu-Jie Wang et al.
INFRARED PHYSICS & TECHNOLOGY (2020)
Nondestructive monitoring of polyphenols and caffeine during green tea processing using Vis-NIR spectroscopy
Alireza Sanaeifar et al.
FOOD SCIENCE & NUTRITION (2020)
Quantitative structure-property relationship of standard enthalpies of nitrogen oxides based on a MSR and LS-SVR algorithm predictions
Zhongyu Wan
JOURNAL OF MOLECULAR STRUCTURE (2020)
An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression
M. Steiner et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Simultaneous determination of six main types of lipid-soluble pigments in green tea by visible and near-infrared spectroscopy
Xiaoli Li et al.
FOOD CHEMISTRY (2019)
Rapid and non-destructive discrimination of special-grade flat green tea using Near-infrared spectroscopy
Chunlin Li et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2019)
Real-time inspection of pork quality attributes using dual-band spectroscopy
Wenxiu Wang et al.
JOURNAL OF FOOD ENGINEERING (2018)
Experimental methods in chemical engineering: Ultraviolet visible spectroscopy-UV-Vis
Fellipy S. Rocha et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2018)
Quality assessment of fresh tea leaves by estimating total polyphenols using near infrared spectroscopy
Ajanto Kumar Hazarika et al.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE (2018)
DETERMINATION OF CATECHINS AND CAFFEINE CONTENT IN TEA (CAMELLIA SINENSIS L.) LEAVES AT DIFFERENT POSITIONS BY FOURIER-TRANSFORM INFRARED SPECTROSCOPY
R. Q. Zhou et al.
TRANSACTIONS OF THE ASABE (2018)
IMPROVEMENT OF PREDICTION MODELS FOR NONDESTRUCTIVE DETECTION OF TVB-N USING DUAL-BAND VIS/NIR SPECTROSCOPIC TECHNIQUE
W. Wang et al.
TRANSACTIONS OF THE ASABE (2017)
Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging
Mohammed Kamruzzaman et al.
FOOD CHEMISTRY (2016)
An assessment of model averaging to improve predictive power of portable vis-NIR and XRF for the determination of agronomic soil properties
S. M. O'Rourke et al.
GEODERMA (2016)
Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques
Xiaoli Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)
Non-destructive determination of total polyphenols content and classification of storage periods of Iron Buddha tea using multispectral imaging system
Chuanwu Xiong et al.
FOOD CHEMISTRY (2015)
Portable optical fiber coupled low cost visible spectrometer
Raul Neto et al.
CONFERENCE ON ELECTRONICS, TELECOMMUNICATIONS AND COMPUTERS - CETC 2013 (2014)
Optimizing Savitzky-Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy
Boris Zimmermann et al.
APPLIED SPECTROSCOPY (2013)
Total polyphenols, catechin profiles and antioxidant activity of tea products from purple leaf coloured tea cultivars
L. C. Kerio et al.
FOOD CHEMISTRY (2013)
Predicting foliar biochemistry of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels
Meng Bian et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Comparison of Visible and Near-Infrared Reflectance Spectroscopy to Authenticate Fresh and Frozen-Thawed Swordfish (Xiphias gladius L)
Luca Fasolato et al.
JOURNAL OF AQUATIC FOOD PRODUCT TECHNOLOGY (2012)
Simultaneous analysis of main catechins contents in green tea (Camellia sinensis (L.)) by Fourier transform near infrared reflectance (FT-NIR) spectroscopy
Quansheng Chen et al.
FOOD CHEMISTRY (2009)
Reconstruction of reflectance data using an interpolation technique
Farhad Moghareh Abed et al.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION (2009)
Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms
Quansheng Chen et al.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS (2008)
Outlier detection in near-infrared spectroscopic analysis by using Monte Carlo cross-validation
Liu ZhiChao et al.
SCIENCE IN CHINA SERIES B-CHEMISTRY (2008)
Tea polyphenols for health promotion
Naghma Khan et al.
LIFE SCIENCES (2007)
New vegetation indices for remote measurement of chlorophylls based on leaf directional reflectance spectra
A Maccioni et al.
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY (2001)
Flavonoids and other polyphenols in consumer brews of tea and other caffeinated beverages
C Lakenbrink et al.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2000)
Share Paper
