AIEgen-Based and Smartphone-Assisted On-Site Quantitation of Cystatin C for Monitoring of Chronic Kidney Disease

Shuqi Xia , Xue Zhu , Shiqiong Niu , Wanqing Zhang , Jinyi Gong , Zhaofan Luo , Meijin Li , Changqing Yi

Aggregate ›› 2025, Vol. 6 ›› Issue (10) : e70127

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Aggregate ›› 2025, Vol. 6 ›› Issue (10) : e70127 DOI: 10.1002/agt2.70127
RESEARCH ARTICLE

AIEgen-Based and Smartphone-Assisted On-Site Quantitation of Cystatin C for Monitoring of Chronic Kidney Disease

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Abstract

The development of affordable and user-friendly diagnostic tools for early warning and monitoring progression of chronic kidney disease (CKD) is crucial to reducing CKD-related morbidity and mortality. This study reports on (1) a protein-templated AIEgen, Ir@BSA, which emits intense green phosphorescence with a quantum yield up to 69.40% and a lifetime up to 1839.40 ns in aqueous solution; (2) a straightforward protocol for Cys C quantitation, which employs Ir@BSA as the phosphorescent signal indicator and papain as the biomolecular recognition element, respectively; and (3) a smartphone-based portable phosphorescence reader (termed as SAPD), which can stably excite and accurately collect phosphorescence signals from the paper-based arrays. Quantitation of Cys C in clinical serum samples using SAPD integrated with the paper-based arrays highlights its remarkable advantages including high sensitivity (0.36 µg mL−1) and specificity, cost-effectiveness (∼$67.5 per set), portability (∼450 g), good precision (RSD ≤ 8.25 %), good accuracy (comparable to clinical standard latex immune-turbidimetric method), and high throughput (16 samples per experiment). More importantly, this study reveals the significant potential of Cys C as an early warning marker of CKD progression. The reported method enables Cys C quantitation anywhere, anytime, by anyone, and is ideally suited for mass screening for CKD and home monitoring of CKD progression, facilitating early diagnosis and proactive management of CKD.

Keywords

bovine serum albumin / Ir complex / papain / paper-based arrays / phosphorescence sensors / portable device

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Shuqi Xia, Xue Zhu, Shiqiong Niu, Wanqing Zhang, Jinyi Gong, Zhaofan Luo, Meijin Li, Changqing Yi. AIEgen-Based and Smartphone-Assisted On-Site Quantitation of Cystatin C for Monitoring of Chronic Kidney Disease. Aggregate, 2025, 6(10): e70127 DOI:10.1002/agt2.70127

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2025 The Author(s). Aggregate published by SCUT, AIEI, and John Wiley & Sons Australia, Ltd.

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