Evidence map›Paper›PMID 42374387›Full record

ArticleJournal of nanobiotechnology2026

Machine learning-assisted nanozyme nanosensor for instantaneous quantitative analysis of antitubercular drugs.

Chendi Qin, Xuehong Min, Linjian Fang, Xiaoqing Yang, Xian Zhao, Yixin Xiao, Yansong Yang, Xiaoqing Yi, Liyu Zheng, Jinyan Chen and 2 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 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

12 authors.

Chendi QinKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Key Laboratory of Pharmacology of Traditional Chinese Medicine, College of Pharmacy, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
Xuehong MinHubei Provincial Engineering Research Center of Racing Horse Detection and Application Transformation, School of International Equestrian, Wuhan Business University, Wuhan, 430056, P.R. China. mxh201270267@163.com.
Linjian FangKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Key Laboratory of Pharmacology of Traditional Chinese Medicine, College of Pharmacy, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
Xiaoqing YangKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Key Laboratory of Pharmacology of Traditional Chinese Medicine, College of Pharmacy, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
Xian ZhaoNational Biotech Group (CNBG), National Vaccine & Serum Institute (NVSI), Sinopharm Group, Beijing, 101111, China.
Yixin XiaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Gannan Medical University, The First Clinical Medical College of Gannan Medical University, Ganzhou, 341000, China.
Yansong YangSchool of Finance and Business, Shangrao Vocational Technical College, Shangrao, 334000, China.
Xiaoqing YiKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Key Laboratory of Pharmacology of Traditional Chinese Medicine, College of Pharmacy, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
Liyu ZhengSchool of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, 110168, People's Republic of China.
Jinyan ChenNational Biotech Group (CNBG), National Vaccine & Serum Institute (NVSI), Sinopharm Group, Beijing, 101111, China. 1185475124@qq.com.
Leiying ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Gannan Medical University, The First Clinical Medical College of Gannan Medical University, Ganzhou, 341000, China. zhangleiying@gmu.edu.cn.
Man ZhouKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Key Laboratory of Pharmacology of Traditional Chinese Medicine, College of Pharmacy, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China. baiyuwawa-zhouman@163.com.

Funding

National Natural Science Foundation of China 22364004Natural Science Foundation of Hubei Province 2024AFB870Natural Science Foundation of Jiangxi Province 20252BAC240287PhD Research Fund Project of Wuhan Business University 2023KB009Research and development of testing standards for prohibited substances in sports horses 2024TD021Talents' Start-up Fund of Gannan Medical University QD202303
6 · The paper itself

Abstract

The dynamic concentration of drugs in the blood reflect pharmacokinetic characteristics and serves as crucial indicators of therapeutic efficacy and medication safety. This underscores the necessity of real-time monitoring to guide individualized dosing and reduce adverse effects, thus requiring rapid and accurate therapeutic drug monitoring (TDM) to optimize patient outcomes and minimize side effects. To this end, a colorimetric nanozyme-based nanosensor was constructed for the detection of isoniazid (INH). In the presence of INH, ·O

Indexed as

Antitubercular AgentsBiosensing TechniquesIsoniazidMachine LearningAnimalsColorimetryDrug MonitoringHumansLimit of DetectionSmartphoneSpectrophotometry, UltravioletAntitubercular AgentsIsoniazidColorimetric nanosensorIsoniazid (INH)Machine learningNanozymeTherapeutic drug monitoring (TDM)

Identifiers

PMID42374387
PMCPMC13576141

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.