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.”

5 studies match for “feature selection”

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×
2022Journal article

Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality.

Wu J, Ouyang Q, Park B, et al. — Food chemistry

… twenty-four physicochemical indicators based on least absolute shrinkage and selection operator (LASSO) for the establishment of the PCA comprehensive evaluation model. The results demonstrated that the PCA comprehensive evaluation …

Observational (human)Processing, milling and qualityAroma, flavor and sensoryCited 75×
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

… 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 least square …

Randomized controlled trialAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 114×
2024Journal article

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

Hu Y, Yu H, Song X, et al. — Food research international (Ottawa, Ont.)

… in modelling the classification of matcha grades 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 …

Randomized controlled trialAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 17×

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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