Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 755

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

Nanozymes Inspired by Natural Enzymes

Zhang, Ruofei, Yan, Xiyun, Fan, Kelong·2021·Accounts of Materials Research

Abstract

Conspectus Nanozymes, nanomaterials with enzyme-like activities with high structural stability, adjustable catalytic activity, functional diversity, recyclability, and feasibility in large-scale preparation, have become a hot spot in the field of artificial enzymes in recent years and are expected to become potential surrogates and competitors for natural enzymes in practical applications. With the development of in-depth research and a wide range of application requirements, creating nanozymes with catalytic performance comparable to or even surpassing that of natural enzymes has been the key research topic in this field. Most of the nanozymes reported in the past were obtained based on random synthesis and screening, for which the catalytic efficiency is far inferior to that of natural enzymes. Natural enzymes that have evolved over hundreds of millions of years have developed a lot of high-efficiency catalysis know-how hidden in their structural features. To create highly active nanozymes, we assumed that there is a general structure–activity relationship between nanozymes and natural enzymes and proposed the nanozyme optimization strategy by grafting the catalytic principles of natural enzymes into the rational design of nanozymes. On the basis of this bioinspired strategy, a series of nanozymes that exhibit similar catalytic activities that are closer to or even beyond those of natural enzymes have been successfully synthesized. By now, rationally designed high-activity bioinspired nanozymes have become a hot topic in the current research on nanozymes. In this Account, we focus on recent representative research progress in the systemic design and construction of bioinspired nanozymes and are devoted to introducing strategic concepts in the bioinspired optimization of nanozymes. We show that the de novo design of nanozymes by simulating the amino acid microenvironment and using metal-free architecture and the coordination structure of metal active sites in natural enzymes is an effective strategy for significantly improving the catalytic performance of nanozymes. A future perspective of the challenges and countermeasures of bioinspired nanozymes is proposed on the basis of these achievements. We hope that the biologically inspired perception will arouse widespread interest in fundamental research and practical applications as well as provide inspiration for the rational design of nanozymes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/accountsmr.1c00074

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 67 references

Cited by

See all 755

Metadata

Authors
Zhang, R., Yan, X., & Fan, K.
Venue
Accounts of Materials Research
Published
2021-06-24
Volume
2
Issue
7
Pages
534-547
ISSN
2643-6728 (ISSN-L)
OpenAlex
W3174128215
Cited by
755
References
67
FWCI
31.68
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Nanozymes Inspired by Natural Enzymes. https://app.cochat.ai/papers/10.1021/accountsmr.1c00074
The paper
Zhang, R., Yan, X., & Fan, K. (2021). Nanozymes Inspired by Natural Enzymes. Accounts of Materials Research. https://doi.org/10.1021/accountsmr.1c00074

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.