Back

Solution Phase Protein Adsorption to ss(GT)15-DNA Wrapped Single Walled Carbon Nanotubes

Sanchez-Velazquez, G.; Porter, T. K.; Ospina, L.; Alizadehmojarad, A. A.; Yim, W.; Wang, X.; Strano, M.

2026-05-20 biophysics
10.64898/2026.05.18.725765 bioRxiv
Show abstract

Proteins in solution adsorb to the corona of nanoparticles such as single-walled carbon nanotubes (SWCNTs), but these interactions are difficult to predict and analyze due to ambiguities in the structure of the latter. In this work, we employ ss(GT)15-DNA wrapped SWCNTs, a commonly used fluorescent sensor construct, to examine protein adsorption by quantifying binding dissociation constants and characterizing the corresponding photophysical effects. A library of 20 proteins are used to evaluate adsorption-induced changes in photoluminescence (PL) intensity ({Delta}I/I0) and emission wavelength upon solution phase binding. We find that 15 proteins produce monotonic dose-response behavior well described using a single-site Langmuir model. Alternatively, five proteins exhibited more complex, non-monotonic behavior consistent with a two-step binding model representing protein-protein interactions coupled to adsorption. The study reveals that metalloproteins, which comprised 12 of the 20 proteins in the library, induced greater PL quenching compared with metal-free proteins for this system, with maximum binding-associated quenching ({Delta}I/I0) of 94% for metalloproteins versus 20% for metal-free proteins. For metalloproteins, we introduce a proximity-based quenching framework in which protein size provides a coarse proxy for cofactor-SWCNT separation, offering a mechanistic interpretation of the observed quenching variation across proteins. Together, these results establish the use of metal coordination sites, such as those in metalloproteins, to assist the transduction of certain nanoparticle fluorescent sensors, helping with sensor probe design and interpretation in biological environments.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nano Letters
63 papers in training set
Top 0.1%
18.3%
2
ACS Nano
99 papers in training set
Top 0.1%
18.3%
3
The Journal of Physical Chemistry B
158 papers in training set
Top 0.1%
9.9%
4
Nanoscale
39 papers in training set
Top 0.1%
8.3%
50% of probability mass above
5
Langmuir
31 papers in training set
Top 0.1%
3.9%
6
Journal of the American Chemical Society
199 papers in training set
Top 2%
3.2%
7
Chemical Communications
24 papers in training set
Top 0.2%
3.0%
8
Biophysical Reports
36 papers in training set
Top 0.2%
1.7%
9
Journal of Colloid and Interface Science
12 papers in training set
Top 0.2%
1.7%
10
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.9%
1.7%
11
Small
70 papers in training set
Top 0.5%
1.7%
12
Biophysical Journal
545 papers in training set
Top 3%
1.6%
13
ChemBioChem
50 papers in training set
Top 0.7%
1.5%
14
Advanced Functional Materials
41 papers in training set
Top 1%
1.5%
15
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.4%
1.3%
16
Nucleic Acids Research
1128 papers in training set
Top 14%
1.2%
17
ACS Central Science
66 papers in training set
Top 2%
1.2%
18
Nanoscale Advances
13 papers in training set
Top 0.4%
1.1%
19
ACS Sensors
45 papers in training set
Top 1%
0.9%
20
Physical Biology
43 papers in training set
Top 2%
0.9%
21
JACS Au
35 papers in training set
Top 1%
0.8%
22
Scientific Reports
3102 papers in training set
Top 75%
0.7%
23
Chemical Science
71 papers in training set
Top 2%
0.7%
24
Nature Communications
4913 papers in training set
Top 65%
0.7%
25
ACS Applied Materials & Interfaces
39 papers in training set
Top 1%
0.6%
26
Science Advances
1098 papers in training set
Top 34%
0.6%
27
Biochemistry
130 papers in training set
Top 2%
0.6%