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Nanomaterials-mediated electrochemical detection of neutrophil gelatinase-associated lipocalin for chronic kidney disease: Advances, challenges, and future prospects

Authors
Bhatt, PoornimaGour, ArslanKukkar, DeepakKim, Ki-Hyun
Issue Date
Jan-2026
Publisher
Elsevier BV
Keywords
Acute kidney injury; Chronic kidney disease; Electrochemical detection; End-stage renal disease; Nanomaterials; Neutrophil gelatinase associated lipocalin
Citation
Talanta, v.296, pp 1 - 15
Pages
15
Indexed
SCIE
SCOPUS
Journal Title
Talanta
Volume
296
Start Page
1
End Page
15
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208546
DOI
10.1016/j.talanta.2025.128473
ISSN
0039-9140
1873-3573
Abstract
Chronic kidney disease (CKD) is characterized by a gradual and permanent deterioration in kidney function, resulting in disruption of the body's internal balance. Traditional diagnostic methods based on serum metabolites often suffer from inaccuracy for CKD diagnosis due to interference from factors such as age, gender, and comorbidities. Neutrophil gelatinase-associated lipocalin (NGAL) is considered an effective clinical marker for early and reliable CKD diagnosis due to its rapid elevation in both serum and urine following renal tubular injury. Among various diagnostic strategies, electrochemical (EC) sensing stands out for its high sensitivity, reproducibility, and suitability for complex biological matrices. The integration of nanomaterials (NMs) with EC platforms further enhances detection performance, enabling precise, real-time monitoring of NGAL levels. This review systematically assesses recent progress in EC-based NGAL biosensors, compares NGAL with other CKD biomarkers, and highlights key design parameters, current limitations, and future opportunities for clinical translation. It specifically presents the unique relevance of NGAL for early CKD diagnosis, followed by a brief discussion on the distinctive advantages of NMs in enhancing EC sensing potentials. Various types of EC biosensors developed based upon potentiometric, amperometric, and conductometric principles are then examined in detail. The review concludes with insights into the current challenges hindering NGAL sensor development and prospective strategies for advancing their clinical applicability.
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