Evidence map›Paper›PMID 42211580›Full record

ArticleFood chemistry: X2026

Using comprehensive two-dimensional liquid chromatography to unveil and mitigate the bidirectional quantification biases of non-volatile compounds in Chinese black tea processing.

Shanbo Zhang, Kim-Huey Ee, Yunle Huang, Rui Min Vivian Goh, Lingyi Li, Lionel Jublot, Chee Sian Gan, Shao Quan Liu, Bin Yu

Abstract read
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Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shanbo ZhangDepartment of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, 117542, Singapore.
Kim-Huey EeMane SEA PTE LTD, 3 Biopolis Drive, #07-17/18/19 Synapse, 138623, Singapore.
Yunle HuangMane SEA PTE LTD, 3 Biopolis Drive, #07-17/18/19 Synapse, 138623, Singapore.
Rui Min Vivian GohMane SEA PTE LTD, 3 Biopolis Drive, #07-17/18/19 Synapse, 138623, Singapore.
Lingyi LiDepartment of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, 117542, Singapore.
Lionel JublotMane SEA PTE LTD, 3 Biopolis Drive, #07-17/18/19 Synapse, 138623, Singapore.
Chee Sian GanAgilent Technologies Singapore (Sales) PTE LTD, 1 Yishun Avenue 7, 768923, Singapore.
Shao Quan LiuDepartment of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, 117542, Singapore.
Bin YuMane SEA PTE LTD, 3 Biopolis Drive, #07-17/18/19 Synapse, 138623, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand Chinese black tea processing, the quantification of non-volatiles is essential, yet conventional one-dimensional liquid chromatography (1D-LC) struggles with increasing matrix complexity as fresh tea leaves undergo enzymatic oxidation and polymerization. This study evaluated comprehensive two-dimensional liquid chromatography (LC × LC) against 1D-LC for quantifying catechins and theaflavins across fresh tea leaves and four processing stages (withering, rolling, oxidation, and drying). Non-volatiles profiling with 1D-LC, revealed extensive co-elution across the chromatographic space, with unidentified features accumulating particularly in late-retention regions. The primary quantitative finding was that 1D-LC exhibited a severe bidirectional bias due to co-elution: catechins were overestimated (up to 4-fold), while theaflavins were underestimated (64%). Crucially, LC × LC mitigated these quantification errors by resolving theaflavins (TF3G and TF3'G) and minimizing matrix effects (ME), narrowing the ME range from 0.60 to 2.20 (1D-LC) to 0.75-1.25 (LC × LC). These results demonstrate LC × LC as a robust method for better quantification in complex food matrices.

Indexed as

CatechinsChinese black tea processingMatrix effectQuantification biasTwo-dimensional liquid chromatography

Identifiers

PMID42211580
PMCPMC13213778

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.