The Global Matcha Research Library

Evaluation of matcha tea quality index using portable NIR spectroscopy coupled with chemometric algorithms.

… derivative (1 st D) tests. The data were then subjected to full spectral partial least squares (PLS) and four variable selection algorithms, such as random frog partial least square (RF‐PLS), synergy interval partial least square …

Intelligent evaluation of taste constituents and polyphenols-to-amino acids ratio in matcha tea powder using near infrared spectroscopy.

… simulated annealing (SA) were subsequently developed from the synergy interval partial least squares (SiPLS). The overall results revealed that SiPLS-SPA and SiPLS-SA models combined with NIR exhibited higher predictive capabilities for …

Quantitative prediction and visualization of matcha color physicochemical indicators using hyperspectral microscope imaging technology

Synchronous fluorescence spectroscopy combined with chemometrics for determination of total phenolic content and antioxidant activity in different tea types.

… (DPPH) assay and Folin–Ciocalteu methods as reference methods, respectively. Partial least square (PLS) method was used for correlation between reference methods and SFS method. RESULTS Results showed that SFS combined with chemometrics …

Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology

… the results showed that exceptional prediction performance was achieved by the partial least squares regression (PLSR) algorithm combined with the feature band algorithm of competitive adaptive reweighting (CARS), and the Rp2 values of …

Comprehensive assessment of matcha qualities and visualization of constituents using hyperspectral imaging technology.

… reached 98.10 %. After feature selection using the random forest (RF) method, partial least squares regression (PLSR) was built to predicted the quality of matcha, which showed high prediction accuracy (test set Rp2 > 0.95). The model …

Monitoring chlorophyll changes during Tencha processing using portable near-infrared spectroscopy.

… adaptive reweighted sampling (CARS) were used to optimize and build partial least square (PLS) models. The CARS-PLS models achieved the best predictive accuracy, with correlation coefficients of prediction (Rp) = 0.9204 for …

Application of visible-near infrared spectroscopy in tandem with multivariate analysis for the rapid evaluation of matcha physicochemical indicators.

… for selecting the characteristic wavelengths from Vis-NIR spectra to build partial least squares (PLS) models. Results indicated that the ICPA-CARS-PLS models achieved satisfactory performance for the evaluation of matcha particle …

Simultaneous quantification of chemical constituents in matcha with visible-near infrared hyperspectral imaging technology.

… shrinkage (BOSS) were used to optimize the models. They were built based on partial least squares (PLS), creating two models referred to as CARS-PLS and BOSS-PLS. The BOSS-PLS models achieved best predictive accuracy, with coefficients …

Fast nondestructive identification of steamed green tea powder adulterations in matcha by visible spectroscopy combined with chemometrics

… of class analogy model in the qualitative classification as well as the partial least squares model in the quantitative analysis performed well with the accuracy of 100% and R2 of 0.9815 in their corresponding prediction sets. …

The application of untargeted metabolomics coupled with chemometrics for the analysis of agitation effects on the sensory profiles of matcha tea.

… rates and time were analyzed by gas chromatography-mass spectrometry and partial least square-discriminate analysis (PLS-DA), which were further verified by the triangle test. Thereinto, 2,4-decadienal associated with the sweet, …

Grade classification and protein content determination in matcha based on vis/nir

… The spectral data was processed by chemometrics which was integrated with partial least squares (PLS), principal component analysis (PCA) and back propagation neural network (BPNN) models. 180 samples (60 with each brand) were …

Variations of main quality components of matcha from different regions in the Chinese market.

… aroma characteristics. Hierarchical cluster analysis (HCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) showed that 11 samples of matcha were well clustered according to different components. Japanese matcha …

Detection and classification of microplastics in green tea using SERS with gold nanoparticle substrates integrating chemometrics and deep learning.

… range. To classify the samples, we compared two chemometric techniques—Partial Least Squares Discriminant Analysis (PLS-DA) and Support Vector Machine (SVM)—with a deep learning approach namely one-dimensional convolutional neural …

Effect of three milling processes (cyclone-, bead- and stone-millings) on the quality of matcha: Physical properties, taste and aroma.

… between chemical composition and sensory evaluation data was carried out using partial least square regression. In conclusion, milling processes clearly affected the physical, chemical and sensory qualities of matcha.

The Path to Matcha Repurchase: Ritual Attractiveness, Self-Congruence, and Preference

… were proposed and study by collecting and analyzing empirical data using the Partial Least Squares Structural Equation Modeling (PLS-SEM) bootstrapping route analysis. The results of the empirical analysis reveal that the product …

Rapid determination of free amino acids and caffeine in matcha using near-infrared spectroscopy: A comparison of portable and benchtop systems

… soft shrinkage (BOSS). Results in the current work showed that BOSS-PLS (BOSS-partial least squares) models yielded satisfactory results for both NIR spectroscopy types. In addition, the portable NIR-IS system has a prediction ability …

Monitoring of carotenoids changes during the matcha drying process using a portable developed spectral analytical system

… (VISSA) were employed to select the characteristic variables and establish the partial least square (PLS) calibration models. The BOSS-PLS model achieved optimum performance, with a correlation coefficient (Rₚ) of 0.9592 and residual …