Back

Rationally Anchored Geometry-Controlled DNA Tetrahedral Nanostructures for Attomolar Impedimetric IL-6 Detection

Parmar, B.; Bhatia, D. D.; Yadav, A. K.

2026-07-01 bioengineering
10.64898/2026.06.30.735725 bioRxiv
Show abstract

Interleukin-6 (IL-6) is a pleiotropic cytokine whose aberrant elevation drives life-threatening conditions, including sepsis, cytokine storm, and autoimmune disorders, yet existing clinical detection methods demand centralized laboratory infrastructure and multi-hour assay times incompatible with rapid point-of-care decision-making. Here, we report an impedimetric aptasensor built on a programmable tetrahedral DNA nanostructure (TDN) interface anchored to a disposable gold screen-printed electrode (Au-SPE) for the ultrasensitive, label-free detection of IL-6. By systematically varying the number of thiolated base vertices from zero to three, we establish a clear and previously unreported structure-function relationship between multipodal anchoring geometry and charge-transfer resistance modulation: tripodal thiolation yields the most rigid, upright, and electrochemically responsive interface, producing the steepest analytical signal gain upon IL-6 binding at the apex-localised aptamer. Under optimised conditions (pH 7.0, 0.05 uM TDN, MCH passivation), the aptasensor exhibits a linear dynamic range of 0.0001-0.001 pg/mL, a limit of detection of 55 ag/mL, and a sensitivity of 1.55x107 ohm (pg mL-1)-1. Selectivity evaluation against seven physiologically relevant interferents such as TNF-, BSA, glucose, urea, ascorbic acid, glycine, and cysteine confirms negligible cross-reactivity, with relative responses ranging from 0.57% to 14.35% of the IL-6 signal. Spike-recovery experiments in human serum yield recoveries of 74.0-87.6% (%RSD < 4.5%), and the sensor retains functional activity for at least 21 days under refrigerated storage. This work demonstrates that thiolated vertex number is a critical and tunable design parameter for TDN-based biosensors, offering a modular, disposable platform for sub-femtogram cytokine detection with direct applicability to early sepsis diagnosis and inflammatory disease monitoring.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Biosensors and Bioelectronics
57 papers in training set
Top 0.1%
12.4%
2
ACS Sensors
49 papers in training set
Top 0.1%
9.6%
3
ACS Nano
113 papers in training set
Top 0.3%
6.6%
4
Advanced Functional Materials
46 papers in training set
Top 0.2%
6.1%
5
Advanced Science
286 papers in training set
Top 1%
5.4%
6
Advanced Healthcare Materials
85 papers in training set
Top 0.4%
5.4%
7
Nature Communications
5641 papers in training set
Top 28%
5.4%
50% of probability mass above
8
Small
78 papers in training set
Top 0.2%
5.0%
9
Analytical Chemistry
218 papers in training set
Top 0.9%
3.9%
10
Science Advances
1243 papers in training set
Top 11%
3.1%
11
Advanced Materials
56 papers in training set
Top 0.4%
3.1%
12
Angewandte Chemie International Edition
93 papers in training set
Top 0.8%
2.4%
13
Nature Nanotechnology
32 papers in training set
Top 0.3%
2.1%
14
Nano Letters
71 papers in training set
Top 0.6%
2.1%
15
Scientific Reports
3612 papers in training set
Top 56%
1.7%
16
Lab on a Chip
96 papers in training set
Top 0.7%
1.6%
17
ACS Applied Bio Materials
24 papers in training set
Top 0.4%
1.6%
18
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.6%
1.3%
19
Nature Chemistry
42 papers in training set
Top 0.8%
1.1%
20
International Journal of Biological Macromolecules
76 papers in training set
Top 1%
1.1%
21
Advanced Materials Technologies
29 papers in training set
Top 0.5%
0.9%
22
ACS Central Science
71 papers in training set
Top 1%
0.9%
23
Nanoscale
42 papers in training set
Top 0.7%
0.8%
24
PLOS ONE
5266 papers in training set
Top 63%
0.8%
25
JACS Au
43 papers in training set
Top 0.9%
0.8%
26
Langmuir
36 papers in training set
Top 0.6%
0.8%
27
Nanoscale Advances
15 papers in training set
Top 0.4%
0.8%
28
ACS Omega
105 papers in training set
Top 4%
0.6%
29
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 46%
0.6%
30
Nature Biomedical Engineering
47 papers in training set
Top 2%
0.6%