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

5-methylcytosine DNA methylation carbon quantum dot cytosine density functional theory machine learning

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
30 Aug 2023
Historique:
medline: 1 9 2023
pubmed: 16 8 2023
entrez: 16 8 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37585565
doi: 10.1021/acsami.3c00785
doi:

Substances chimiques

5-Methylcytosine 6R795CQT4H
Cytosine 8J337D1HZY
Carbon 7440-44-0
Nitrogen N762921K75
Fluorescent Dyes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

40141-40152

Auteurs

Janpen Thonghlueng (J)

Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Sawinee Ngernpimai (S)

Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Adulvit Chuaephon (A)

Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Witthawat Phanchai (W)

Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Theanchai Wiwasuku (T)

Functional Materials and Nanotechnology Center of Excellence, School of Science, Walailak University, Nakhon Si Thammarat 80160, Thailand.

Yupaporn Wanna (Y)

Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Kannika Wiratchawa (K)

Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Thanapong Intharah (T)

Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Raynoo Thanan (R)

Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.

Chadamas Sakonsinsiri (C)

Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.

Theerapong Puangmali (T)

Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Humans Australia Female Male Adult
1.00
Humans Pilot Projects Female Male Smartphone
Humans Smartphone Blood Pressure Determination Oscillometry Male

Classifications MeSH