Recent Research on Biosensors for Biomarker Detection Related to Neurological Disorders Utilizing Surface Engineering Strategies

Surface engineering strategies have been widely used in various technological fields. Particularly, they have been widely utilized in the biosensing field, to improve interfacial properties and facilitate molecular recognition. Among the various targets of biosensors, in recent years are neurological disorders, which have become a major health challenge globally, increasing the demand for accurate and early detection of neural biomarkers. Despite significant advances in biosensors for the detection of neural biomarkers, traditional biosensors often suffer from low sensitivity and selectivity for the precise detection of neural biomarkers. In this regard, surface engineering strategies hold huge potential and utility to address above issues of biosensors. Therefore, a comprehensive understanding of surface engineering strategies and their impact on neural biosensing is essential for the diagnosis of neurological disorders. In this review, we present recent advances in the development of biosensors for neural biomarker detection that incorporate surface engineering strategies. We first discuss surface engineering strategies applicable in biosensors and their underlying mechanisms. Next, recent surface-engineered biosensors for neural biomarker detection are discussed, configured according to the environmental conditions of biomarkers. We anticipate that this review will provide valuable insights into the development of novel biosensors for the early diagnosis of neurological disorders.

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Publication Details

Journal
Biosensors
Published
2026-09-28
DOI
https://doi.org/10.3390/bios16100541
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00
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article

Recent Research on Biosensors for Biomarker Detection Related to Neurological Disorders Utilizing Surface Engineering Strategies

Hye Kyu Choi, 이예진, Minkyu Shin, Jinho Yoon et al.
Biosensors
Electrochemical sensors and biosensors
article

Recent Research on Biosensors for Biomarker Detection Related to Neurological Disorders Utilizing Surface Engineering Strategies

Hye Kyu Choi, 이예진, Minkyu Shin, Jinho Yoon, Minji Seo, Yumi Kim, Sengyeon Pyo
article en

Abstract

Surface engineering strategies have been widely used in various technological fields. Particularly, they have been widely utilized in the biosensing field, to improve interfacial properties and facilitate molecular recognition. Among the various targets of biosensors, in recent years are neurological disorders, which have become a major health challenge globally, increasing the demand for accurate and early detection of neural biomarkers. Despite significant advances in biosensors for the detection of neural biomarkers, traditional biosensors often suffer from low sensitivity and selectivity for the precise detection of neural biomarkers. In this regard, surface engineering strategies hold huge potential and utility to address above issues of biosensors. Therefore, a comprehensive understanding of surface engineering strategies and their impact on neural biosensing is essential for the diagnosis of neurological disorders. In this review, we present recent advances in the development of biosensors for neural biomarker detection that incorporate surface engineering strategies. We first discuss surface engineering strategies applicable in biosensors and their underlying mechanisms. Next, recent surface-engineered biosensors for neural biomarker detection are discussed, configured according to the environmental conditions of biomarkers. We anticipate that this review will provide valuable insights into the development of novel biosensors for the early diagnosis of neurological disorders.

BiosensorsVol. 16(10)
Rutgers, The State University of New Jersey (US), Hankyong National University (KR), The Catholic University of Korea Bucheon St. Mary's Hospital (KR), Catholic University of Korea (KR)
Openalex Percentile: Top 22%
Electrochemical sensors and biosensors
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