MatchaDB

Research

The Global Matcha Research Library

641 papers, trials, theses and preprints that study matcha, gathered from PubMed, OpenAlex and Europe PMC, tagged by study type and topic, and linked back to every source. We keep abstracts and citations; the full text stays with its publisher.

Tip: use "quotes" for an exact phrase, OR between alternatives, and a minus to leave a word out, for example fluoride OR pesticide. Related words are matched too, so “EGCG” also finds “epigallocatechin.”

6 studies match for “Variable selection”

2023Journal article

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

Liu L, Zareef M, Wang Z, et al. — Food chemistry

… preprocessed using various preprocessing techniques. Subsequently, iteratively variable subset optimization (IVSO), bootstrapping soft shrinkage (BOSS), and competitive adaptive reweighted sampling (CARS) were used to optimize and build …

Chemical / analyticalCultivation and shadingProcessing, milling and qualityAuthenticity and analytical methodsCited 91×
2023Journal article

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

Wu J, Zareef M, Chen Q, et al. — Food chemistry

… of tea polyphenols to free amino acids (P/F ratio) of matcha. The multivariate selection algorithms such as synergy interval (Si), variable combination population analysis (VCPA), competitive adaptive reweighted sampling (CARS), and …

Observational (human)Metabolism and weightAntioxidants and polyphenolsL-theanine and caffeineCited 56×
2021Journal article

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

Ouyang Q, Wang L, Park B, et al. — Food chemistry

This study aimed to assess the feasibility of identifying multiple chemical constituents in matcha using visible-near infrared hyperspectral imaging (VNIR-HSI) technology. Regions of interest (ROIs) were first defined in order to calculate…

Chemical / analyticalAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 77×
2019Journal article

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

Wang J, Zareef M, He P, et al. — Journal of the science of food and agriculture

… 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 (Si‐PLS), genetic algorithm‐partial …

Randomized controlled trialAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 114×
2021Journal article

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

Guo Z, Barimah AO, Yin L, et al. — Food chemistry

… flavor and efficacy. Near-infrared spectroscopy (NIR) in combination with variable selection algorithms was proposed as a fast and non-destructive method for the quality evaluation of matcha tea. Total polyphenols (TP), free amino …

Chemical / analyticalAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 117×
2024Journal article

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

Ouyang Q, Liu L, Wang L, et al. — Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems

… (FT-NIR) spectroscopy system. The prediction models were built using multi-variable selection algorithms such as synergy interval (Si), competitive adaptive reweighted sampling (CARS), and bootstrapping soft shrinkage (BOSS). Results …

Chemical / analyticalL-theanine and caffeineAuthenticity and analytical methodsMetabolism and weight

How this library is built

Every record comes from three open scholarly indexes — PubMed, OpenAlex and Europe PMC — searched for the word “matcha.” Records are merged by DOI and PubMed ID so each study appears once. A paper is kept only if matcha appears in its title, abstract, author keywords or subject terms and the text is about tea or food, which filters out the surname Matcha, software called Matcha, and the Scandinavian verb “matcha” (to match).

Study type and topic tags are assigned automatically from each paper's own title, abstract and subject terms using fixed keyword rules — no guesses, and papers without an abstract are marked as unclassified. Automatic tagging is imperfect, so treat tags as a way to narrow a search, not as a verdict on a paper's quality. A study being listed here is not an endorsement of its findings.

Coverage: this is every indexed paper that names matcha, not every study of green tea or its compounds (those are far more numerous). Papers that mention matcha only in passing are hidden by default. Work that never uses the word “matcha,” and publications outside these indexes, are not included. The library was last rebuilt October 20, 2026.

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