Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases

Qian Zhang; Hui’e Jiang; Zhijian Li; Lijuan Chen; Fengqian Yang; Jiamin Zhang; Bo Zhang; Xinhua Liu

doi:10.1016/j.jobab.2025.06.002

Volume 10 Issue 3

Aug. 2025

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Article Navigation > Journal of Bioresources and Bioproducts > 2025 > 10(3): 397-409

Qian Zhang, Hui’e Jiang, Zhijian Li, Lijuan Chen, Fengqian Yang, Jiamin Zhang, Bo Zhang, Xinhua Liu. Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases[J]. Journal of Bioresources and Bioproducts, 2025, 10(3): 397-409. doi: 10.1016/j.jobab.2025.06.002

Citation:

Qian Zhang, Hui’e Jiang, Zhijian Li, Lijuan Chen, Fengqian Yang, Jiamin Zhang, Bo Zhang, Xinhua Liu. Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases[J]. Journal of Bioresources and Bioproducts, 2025, 10(3): 397-409. doi: 10.1016/j.jobab.2025.06.002

Citation:

Qian Zhang, Hui’e Jiang, Zhijian Li, Lijuan Chen, Fengqian Yang, Jiamin Zhang, Bo Zhang, Xinhua Liu. Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases[J]. Journal of Bioresources and Bioproducts, 2025, 10(3): 397-409. doi: 10.1016/j.jobab.2025.06.002

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Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases

doi: 10.1016/j.jobab.2025.06.002

Qian Zhang^a,
Hui’e Jiang^{a, b
,
,},
Zhijian Li^{a, b
,
,},
Lijuan Chen^a,
Fengqian Yang^a,
Jiamin Zhang^a,
Bo Zhang^c,
Xinhua Liu^{a, b
,
,}

a.
College of Bioresources Chemistry and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi’an 710021, China
b.
Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science and Technology, Xi’an 710021, China
c.
Xunyi County Animal Disease Prevention and Control Center, Xianyang 712000, China

More Information

Corresponding author: E-mail address: jianghuie@sust.edu.cn (H. Jiang); E-mail address: lizj@sust.edu.cn (Z. Li); E-mail address: liuxinhua@sust.edu.cn (X. Liu)
Received Date: 2025-03-10
Accepted Date: 2025-06-17
Rev Recd Date: 2025-05-06

Available Online: 2025-06-30

Publish Date: 2025-08-01

Abstract

Abstract

Uric acid (UA) level is a pivotal clinical human-health biomarker providing predictive feedback for multitudinous well-known kidney, cardiovascular and metabolic syndrome diseases. Off-the-shelf UA detection methods clinically rely on uricase suffer from limitations such as high costs, longstanding result acquisition, circumscribed testing locations, rigorous expertise requirements, and difficulty in home-detecting due to serum testing systems. Here, inspired by the pH-paper, a scaleable, rapid, non-invasive/-enzymatic/-serodiagnostic, and home-detecting “abnormal UA alarm” platform for UA detection in saliva was developed by strategically integrating the proposed paper-based fluorescent sensing-materials (NIFP-SM) with a user-orientated intelligent red-green-blue (RGB) analysis device. Therefore, NIFP-SM is nano-engineered through straightforward interfacial interactions of functional building blocks of on-demand naphthyl imide-derived fluorescent self-assembled micro-particles (NIFS) with lamellar structure and commercially-used filter paper. The NIFS possesses dominantly wide detection range (0–5 000 µmol/L) and high sensitivity (limit of detection = 0.91 µmol/L). Surprisingly, NIFS exhibited outstanding identifiability for uric acid even in the presence of 34 interferents, substantiating accurate detection-capability in intricate environments. Thus NIFP-SM equipped with NIFS resoundingly achieved efficient, rapid, and on-site visual detection of UA in saliva, urine-simulants, and foods. Further, the NIFP-SM-based automatic analysis platform integrated with an intelligent RGB analysis device was manufactured and enabled accurate quantitative, low-cost, non-invasive/-enzymatic/-serodiagnostic, rapid, home-detecting for UA, eliminating the need for costly equipment and specialized personnel and thereby facilitating early-warning detection of abnormal UA-levels associated diseases.
- Paper-based materials,
- Saliva,
- Non-enzymatic,
- Uric acid,
- Intelligent RGB analysis

Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Supplementary materials
Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.jobab.2025.06.002.
Peer review under the responsibility of Editorial Office of Journal of Bioresources and Bioproducts.

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References(53)

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