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hybrid · semantic + lexical · 1 datasets ranked · 4.75s

Structurecomposite1
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Sourcezenodo1
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1-1 of 1sortrelevancemeasured firstqualitysize
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Stimuli-Responsive Silsesquioxane Nanozymes for Organocatalysis in Water and Prodrug Activation in Cells

0.00

Zahid, R · Lázaro, A · Moreno‐Alcántar, G · et al.

1 files · 82 KB · tar

Synthetic nanozymes have emerged as promising alternatives to natural enzymes for catalytic and therapeutic applications, yet their limited stability, aqueous compatibility, and catalytic scope impede broader utilization. Here, we report a mild, one-step sol-gel synthesis that yields ultrasmall, water-stable octa-amino silsesquioxanes functioning as metal-free nanozymes. These minimalistic nanostructures exhibit aldolase-like organocatalytic activity in water and enable dynamic, stimuli-responsive modulation of catalysis through reversible supramolecular aggregation and disaggregation triggered by specific chemical inputs, thus forming a multifunctional platform for tunable catalysis and biomedical applications. Structural simplicity, stability, and functional versatility together permit tunable, enzyme-like catalysis in water without auxiliary surfactants or phase-transfer additives. Furthermore, the nanozymes display high biocompatibility and efficient cellular internalization, enabling their use in living cells, for instance, as intracellular prodrug activators via retro-aldol activation of a doxorubicin prodrug in human glioblastoma and metastatic melanoma cells, resulting in selective cytotoxicity. This system provides a cost-effective, sustainable, and scalable platform for water-compatible, metal-free organocatalysis that bridges abiotic catalysis and biological function. These findings demonstrate how rationally designed silsesquioxane frameworks can emulate natural enzyme reactivity while integrating adaptive, stimuli-responsive behavior, broadening the applicability of synthetic nanozymes to catalytic and therapeutic contexts.

open·CC0-1.0·Zenodo·completeSource
closeopen full
tabular · zenodo

2024-04-08 Partial Solar Eclipse ESID#204

Winter, Henry · Severino, MaryKay · Volunteer Scientist

measured·open·16 files
Measuredstructure observed by touching the bytes
topology
tabular
records
7
sampled
full dataset
null rate
59.7%
duplicate rate
0.0%
size
985 B
profiler
tabular:stdlib/v1

Measured the full file.

Columns (11)
columntypenullsdistribution
Variable Namecategorical string0%7 distinct · File Name · File Type · Description
Descriptioncategorical string0%7 distinct · Name of the file. · Format of the file. · Short description of the file.
Data Typecategorical string0%3 distinct · String · Float · Hexadecimal String
Unitscategorical string86%1 distinct · kilobytes
Size KB
categorical string
100%
0 distinct
Sourcecategorical string0%3 distinct · Manual Entry · Calculated by the Python 3 routine os.path.getsize · Calculated by the compute_sha_512_hash.py function using the SHA-512 algorithm.
Code Meaningcategorical string71%1 distinct · NA- Not Available or Not Applicable
Notes 1categorical string100%0 distinct
Notes 2categorical string100%0 distinct
Notes 3categorical string100%0 distinct
Notes 4categorical string100%0 distinct
Columns by kind
Columns with missing values