ACS Applied Materials and Interfaces, Volume 15, Issue 34, Pages 40141-40152 , 30/08/2023

Dual-Responsive Carbon Quantum Dots for the Simultaneous Detection of Cytosine and 5-Methylcytosine Interpreted by a Machine Learning-Assisted Smartphone

Janpen Thonghlueng, Sawinee Ngernpimai, Adulvit Chuaephon, Witthawat Phanchai, Theanchai Wiwasuku, Yupaporn Wanna, Kannika Wiratchawa, Thanapong Intharah, Raynoo Thanan, Chadamas Sakonsinsiri, Theerapong Puangmali

Abstract

DNA methylation is an epigenetic alteration that results in 5-methylcytosine (5-mC) through the addition of a methyl group to the fifth carbon of a cytosine (C) residue. The methylation level, the ratio of 5-mC to C, in urine might be related to the whole-body epigenetic status and the occurrence of common cancers. To date, never before have any nanomaterials been developed to simultaneously determine C and 5-mC in urine samples. Herein, a dual-responsive fluorescent sensor for the urinary detection of C and 5-mC has been developed. This assay relied on changes in the optical properties of nitrogen-doped carbon quantum dots (CQDs) prepared by microwave-assisted pyrolysis. In the presence of C, the blue-shifted fluorescence intensity of the CQDs increased. However, fluorescence quenching was observed upon the addition of 5-mC. This was primarily due to photoinduced electron transfer as confirmed by the density functional theory calculation. In urine samples, our sensitive fluorescent sensor had detection limits for C and 5-mC of 43.4 and 74.4 μM, respectively, and achieved satisfactory recoveries ranging from 103.5 to 115.8%. The simultaneous detection of C and 5-mC leads to effective methylation level detection, achieving recoveries in the range of 104.6-109.5%. Besides, a machine learning-enabled smartphone was also developed, which can be effectively applied to the determination of methylation levels (0-100%). These results demonstrate a simple but very effective approach for detecting the methylation level in urine, which could have significant implications for predicting the clinical prognosis.

Document Type

Article

Source Type

Journal

Keywords

5-methylcytosinecarbon quantum dotcytosinedensity functional theoryDNA methylationmachine learning

ASJC Subject Area

Materials Science : Materials Science (all)

Funding Agency

National Research Council of Thailand


Bibliography


Thonghlueng, J., Ngernpimai, S., Chuaephon, A., Phanchai, W., Wiwasuku, T., Wanna, Y., Wiratchawa, K., ... Puangmali, T. (2023). Dual-Responsive Carbon Quantum Dots for the Simultaneous Detection of Cytosine and 5-Methylcytosine Interpreted by a Machine Learning-Assisted Smartphone. ACS Applied Materials and Interfaces, 15(34) 40141-40152. doi:10.1021/acsami.3c00785

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