Breaking the Bottlenecks in Nanozyme-Antibody Conjugates Preparation: Challenges, Optimization Strategies, and Applications of in Vitro Diagnostics

Abstract

Enzyme-labeled antibodies serve as the fundamental pillars of immunoassay-based biosensing, providing the necessary molecular recognition and signal amplification for the detection of trace analytes in complex matrices. As robust mimics of natural enzymes, nanozyme-antibody conjugates (NACs) represent a significant advancement in this field, offering superior physicochemical stability and cost-effectiveness. However, the practical transition of NACs from laboratory research to clinical and environmental commercialization is frequently hindered by critical preparation bottlenecks, particularly the loss of catalytic and biological activities, poor orientation control at the bio-nano interface, and significant batch-to-batch inconsistency. This review comprehensively details the advanced strategies developed to address these preparative challenges. The fundamental mechanisms governing signal attenuation and steric hindrance at the interface are systematically analyzed. The optimization strategies are highlighted, including the utilization of single-atom nanozymes for improved intrinsic activity and the implementation of site-specific conjugation methods to optimize antibody orientation. Furthermore, the review explores the diverse applications of optimized NACs across multiple platforms, achieving ultra-sensitive detection for oncology markers and pathogens. The discussion concludes with the requirements for clinical translation, emphasizing activity standardization and the development of integrated "sample-in-answer-out" point-of-care devices.

Article information

Article type
Critical Review
Submitted
05 Feb 2026
Accepted
12 Mar 2026
First published
31 Mar 2026

Anal. Methods, 2026, Accepted Manuscript

Breaking the Bottlenecks in Nanozyme-Antibody Conjugates Preparation: Challenges, Optimization Strategies, and Applications of in Vitro Diagnostics

K. Yu, M. Wang, H. Wu, M. Ma and Y. Zhang, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D6AY00209A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements