Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases
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...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-08-01
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| Series: | Journal of Bioresources and Bioproducts |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2369969825000398 |
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| author | Qian Zhang Hui’e Jiang Zhijian Li Lijuan Chen Fengqian Yang Jiamin Zhang Bo Zhang Xinhua Liu |
| author_facet | Qian Zhang Hui’e Jiang Zhijian Li Lijuan Chen Fengqian Yang Jiamin Zhang Bo Zhang Xinhua Liu |
| author_sort | Qian Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4ea8bc9c772f47efa53cb2ba24e43a18 |
| institution | Kabale University |
| issn | 2369-9698 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Bioresources and Bioproducts |
| spelling | doaj-art-4ea8bc9c772f47efa53cb2ba24e43a182025-08-20T03:45:03ZengKeAi Communications Co., Ltd.Journal of Bioresources and Bioproducts2369-96982025-08-0110339740910.1016/j.jobab.2025.06.002Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseasesQian Zhang0Hui’e Jiang1Zhijian Li2Lijuan Chen3Fengqian Yang4Jiamin Zhang5Bo Zhang6Xinhua Liu7College of Bioresources Chemistry and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi’an 710021, ChinaCollege 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; Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science and Technology, Xi’an 710021, China; Corresponding authors.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; Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science and Technology, Xi’an 710021, China; Corresponding authors.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, ChinaCollege of Bioresources Chemistry and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi’an 710021, ChinaCollege of Bioresources Chemistry and Materials Engineering, National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science and Technology, Xi’an 710021, ChinaXunyi County Animal Disease Prevention and Control Center, Xianyang 712000, ChinaCollege 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; Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry, Ministry of Education, Shaanxi University of Science and Technology, Xi’an 710021, China; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S2369969825000398Paper-based materialsSalivaNon-enzymaticUric acidIntelligent RGB analysis |
| spellingShingle | 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 Journal of Bioresources and Bioproducts Paper-based materials Saliva Non-enzymatic Uric acid Intelligent RGB analysis |
| title | Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases |
| title_full | Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases |
| title_fullStr | Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases |
| title_full_unstemmed | Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases |
| title_short | Non-invasive, non-enzymatic, non-serodiagnostic, and home-detecting paper-based “abnormal UA alarm” for early diagnosis of UA associated diseases |
| title_sort | non invasive non enzymatic non serodiagnostic and home detecting paper based abnormal ua alarm for early diagnosis of ua associated diseases |
| topic | Paper-based materials Saliva Non-enzymatic Uric acid Intelligent RGB analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2369969825000398 |
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