Estimation of the sensory properties of black tea samples using non-destructive near-infrared spectroscopy sensors

Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and chemometrics

(2022) Maria Lucimar da Silva Medeiros et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Non-destructive determination of fatty acid composition of in-shell and shelled almonds using handheld NIRS sensors

(2021) Miguel Vega-Castellote et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Intelligent evaluation of black tea fermentation degree by FT-NIR and computer vision based on data fusion strategy

(2020) Ge Jin et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Probabilistic classification models for the in situ authentication of Iberian pig carcasses using Near Infrared Spectroscopy

(2020) Dolores Pérez-Marín et al.   TALANTA

Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer

(2020) Luqing Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

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

(2020) Yujie Wang 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

Monitoring quality and safety assessment of summer squashes along the food supply chain using near infrared sensors

(2019) Irina Torres et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Comparing the qualitative performances of handheld NIR and Raman spectrophotometers for the detection of falsified pharmaceutical products

(2019) P.H. Ciza et al.   TALANTA

Simultaneous detection of quality and safety in spinach plants using a new generation of NIRS sensors

(2019) José-Antonio Entrenas et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins

(2018) Ana Garrido-Varo et al.   APPLIED 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

Intelligent evaluation of color sensory quality of black tea by visible-near infrared spectroscopy technology: A comparison of spectra and color data information

(2017) Qin Ouyang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms

(2017) Cristina Malegori et al.   TALANTA

Nondestructive determination of cocoa bean quality using FT-NIR spectroscopy

(2016) S. Sunoj et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using UV–Vis spectroscopy for simultaneous geographical and varietal classification of tea infusions simulating a home-made tea cup

(2016) Paulo Henrique Gonçalves Dias Diniz et al.   FOOD CHEMISTRY

Using FTIR spectra and pattern recognition for discrimination of tea varieties

(2015) Jian-xiong Cai et al.   INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

Chemometric Models for the Quantitative Descriptive Sensory Properties of Green Tea (Camellia sinensis L.) Using Fourier Transform Near Infrared (FT-NIR) Spectroscopy

(2014) Hui Jiang et al.   Food Analytical Methods

The characterization of caffeine and nine individual catechins in the leaves of green tea (Camellia sinensis L.) by near-infrared reflectance spectroscopy

(2014) Min-Seuk Lee et al.   FOOD CHEMISTRY

Real-time monitoring of total polyphenols content in tea using a developed optical sensors system

(2014) Shuai Qi et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Using a simple digital camera and SPA-LDA modeling to screen teas

(2012) Paulo H. G. D. Diniz et al.   Analytical Methods

Classification of tea grains based upon image texture feature analysis under different illumination conditions

(2012) Amit Laddi et al.   JOURNAL OF FOOD ENGINEERING

Differentiation of tea varieties using UV–Vis spectra and pattern recognition techniques

(2012) Ana Palacios-Morillo et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Integrating satellite images and spectroscopy to measuring green and black tea quality

(2011) R. Dutta et al.   FOOD CHEMISTRY

Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals

(2009) Huichun Yu et al.   SENSORS

Quality grade identification of green tea using the eigenvalues of PCA based on the E-nose signals

(2009) Huichun Yu et al.   SENSORS AND ACTUATORS B-CHEMICAL

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A chemometric study of chromatograms of tea extracts by correlation optimization warping in conjunction with PCA, support vector machines and random forest data modeling

(2008) L. Zheng et al.   ANALYTICA CHIMICA ACTA

A Backward Variable Selection method for PLS regression (BVSPLS)

(2008) Juan Antonio Fernández Pierna et al.   ANALYTICA CHIMICA ACTA