Evidence map›Paper›PMID 42819827›Full record

ArticleACS omega2026

Investigating the Interaction between a Lipophilic Bioactive Compound and Digestive Enzymes via Interference Effects in Colloidal Crystal Films.

Haixin Bian, Xiaonan Cao, Tong Zhang, Lele Zhou

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Haixin BianYantai Key Laboratory of Marine Traditional Chinese Medicine Quality Assessment, School of Pharmacy, Shandong Medical and Pharmaceutical University, Yantai 264003, China.
Xiaonan CaoYantai Key Laboratory of Marine Traditional Chinese Medicine Quality Assessment, School of Pharmacy, Shandong Medical and Pharmaceutical University, Yantai 264003, China.
Tong ZhangYantai Key Laboratory of Marine Traditional Chinese Medicine Quality Assessment, School of Pharmacy, Shandong Medical and Pharmaceutical University, Yantai 264003, China.
Lele ZhouYantai Key Laboratory of Marine Traditional Chinese Medicine Quality Assessment, School of Pharmacy, Shandong Medical and Pharmaceutical University, Yantai 264003, China.ORCID https://orcid.org/0009-0003-1177-5223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Curcumin, as an example of a lipophilic bioactive compound, is typically ingested orally for absorption into the human body. However, dynamically tracking the interaction between lipophilic bioactive compounds and digestive enzymes remains a significant challenge in the study of lipophilic bioactive compounds' absorption, translocation, and metabolism within the gastrointestinal tract. The interaction between curcumin and lipase or trypsin was monitored in real time using an ordered porous layer interference (OPLI) system based on silica colloidal crystal (SCC) films. The trypsin or lipase layers were obtained by adsorbing trypsin or lipase onto the SCC films. The optical thickness (OT) received by the OPLI system was used to monitor the interaction between curcumin and digestive enzymes in real time. By comparing the interaction processes of curcumin on trypsin layers at different pH values, it was determined that the structure of curcumin under varying pH conditions influenced its interaction with trypsin. The results for changes in optical thickness (ΔOT) showed that the ΔOT of curcumin was greater in the trypsin (24.79 ± 4.94 nm) than in the lipase (2.49 ± 0.84 nm). The combination or dissociation rate constant (

Identifiers

PMID42819827
PMCPMC13625102

What OpenQuestion holds

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Registered trials

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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.