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.”

11 studies match for “Algorithms”

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

… a portable near infrared (NIR) spectroscopy system coupled with chemometric algorithms for prediction of tea polyphenols and amino acids in order to index matcha tea quality. RESULTS Spectral data were preprocessed by standard normal …

Randomized controlled trialAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 114×
2023Journal article

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

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

Monitoring chlorophyll during Tencha (the raw ingredient for matcha) processing is critical for determining the matcha's color and quality. The purpose of this study is to explore the mechanism of chlorophyll changes during Tencha…

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

… 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 interval …

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

… 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 acids (FAA), and …

Chemical / analyticalAntioxidants and polyphenolsL-theanine and caffeineProcessing, milling and qualityCited 117×
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×
2021Journal articleFree to read

Research Status and Prospect of Matcha Blending Based on Intelligent Algorithm

Bing Yang, Jie Yu, Kai Chen, et al. — E3S Web of Conferences

Matcha green tea, a Japanese specialty, is commonly thought to have health advantages. Tea quality will improve taste which results in increased sales. Polypeptide, methionine acids (mostly additive), and cappuccino all contribute to the…

ReviewAntioxidants and polyphenolsCultivation and shadingProcessing, milling and quality
2026Journal articleFree to read

Identification of the Geographical Origins of Matcha Using Three Spectroscopic Methods and Machine Learning

Meryem Taskaya, Rikuto Akiyama, Mai Kanetsuna, et al. — AgriEngineering

… transform infrared (FT-IR) spectroscopy, were combined with machine learning algorithms to accurately identify the origin of Japanese matcha. FF data were analyzed using convolutional neural networks (CNNs), whereas NIR and FT-IR …

Randomized controlled trialAntioxidants and polyphenolsL-theanine and caffeineAuthenticity and analytical methodsCited 3×
2024Journal articleFree to read

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

Qinghai He, Zhiyuan Liu, Xiaoli Li, et al. — Agriculture

… use of hyperspectral imaging technology (HSI), combined with machine learning algorithms, to detect chlorophyll a, chlorophyll b, and carotenoids in stacked matcha tea during processing. Firstly, a quantitative relationship between HSI …

Chemical / analyticalProcessing, milling and qualityAuthenticity and analytical methodsMetabolism and weightCited 4×
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

… 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 in the current work …

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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