Evidence map›Paper›PMID 42711970›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Non-Invasively Quantitative Raman Imaging for Calculation of Lymphatic Transport Kinetics of Micelles in Mice.

Yunlu Li, Hongzheng Lin, Sheng Yu, Yunhui Liao, Teng Huang, Zeyu Xiao, Wei Lu

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

7 authors.

Yunlu LiSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
Hongzheng LinSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
Sheng YuSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0006-1228-4516
Yunhui LiaoSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
Teng HuangSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
Zeyu XiaoDepartment of Pharmacology and Chemical Biology, Institute of Molecular Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-3457-5772
Wei LuSchool of Pharmaceutical Sciences, Minhang Hospital, Key Laboratory of Smart Drug Delivery Ministry of Education, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-1333-0274

Funding

National Natural Science Foundation of China 22595410National Natural Science Foundation of China 22595411National Natural Science Foundation of China 22595413National Natural Science Foundation of China 81991493
6 · The paper itself

Abstract

Raman spectroscopy based on surface enhanced Raman scattering (SERS) has received great interest in biological and medical applications owing to its high specificity and sensitivity. However, a reliable and quantitative SERS analysis in vivo is a great challenge since SERS is affected by the unevenly distributed field enhancement in hot spots of nanoparticle substrate and unpredictable nanoparticle aggregation in the complex biological environment. Here, we present non-invasively quantitative Raman imaging through stacking-induced intermolecular charge transfer-enhanced Raman scattering (SICTERS) without relying on substrate. Based on the Raman imaging with SICTERS micelles, a quantitative method is established to accurately calculate the concentration of micelles in draining lymph nodes (DLNs) following subcutaneous administration. A physiologically based pharmacokinetic model is generated to fit the concentration-time curve of the SICTERS micelles in DLNs (R

Indexed as

lymphatic transportnon‐invasive Raman imagingpharmacokinetic modelquantitative analysisvaccine

Identifiers

PMID42711970
PMCPMC13554503

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.