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ACS Nano · 2023 · IF 17.1

Leveraging DNA-Based Nanostructures for Advanced Error Detection and Correction in Data Communication

Ruru Gao,Xiu-Shen Wei,Zelin Chen,Aming Xie,Wei Dong

This study demonstrates the implementation of the Hamming code using DNA-based nanostructures for error detection and correction in communication systems. The designed DNA nanostructures conduct logical operations to compute check codes and identify and correct erroneous data based on fluorescence signals. The execution of intricate DNA logic operations requires individuals with specialized training. By interpretation of the fluorescence signals generated by the DNA nanostructures, binary language can be extracted, effectively protecting data security. The findings highlight the potential of DNA as a versatile platform for reliable data transmission.

CAS / MDL: 16961-25-4 68-04-2
研究领域: 生物信息学 · 分子生物学
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BIOSENSORS & BIOELECTRONICS · 2022 · IF 12.545

High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor

Yang Sun,Cheng Yang,Xiaolin Jiang,Pengbo Zhang,Shuo Chen,Fengxia Su,Hui Wang,Weiliang Liu,Xiaofei He,Lei Chen,Baoyuan Man,Zhengping Li

False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coupling with the stabilized graphene field-effect transistor, providing high-intensity vector signals for detecting SARS-CoV-2. In this collaborative system, SARS-CoV-2 RNA generates a “big subtraction” signal with a right-shifted feature, whereas any untargets cause the left-shifted characteristic signal. Thus, the false detection of SARS-CoV-2 is eliminated. High sensitivity with 0.15 copies/μL was obtained. In addition, the wide concerned instability of the graphene field-effect transistor for biosensing in solution environment was solved by the hydrophobic treatment to its substrate, which should be a milestone in advancing it's engineering application. This collaborative system characterized by the high-intensity vector signal and amazing stability significantly advances the accurate SARS-CoV-2 detection from the aspect of signal nature.

研究领域: 生物传感 · 纳米技术 · 分子生物学 · 电子学
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