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

被引:8
|
作者
Thonghlueng, Janpen [1 ]
Ngernpimai, Sawinee [1 ]
Chuaephon, Adulvit [1 ]
Phanchai, Witthawat [1 ]
Wiwasuku, Theanchai [2 ]
Wanna, Yupaporn [3 ]
Wiratchawa, Kannika [3 ]
Intharah, Thanapong [3 ]
Thanan, Raynoo [4 ]
Sakonsinsiri, Chadamas [4 ]
Puangmali, Theerapong [1 ]
机构
[1] Univ Khon Kaen, Fac Sci, Dept Phys, Khon Kaen 40002, Thailand
[2] Walailak Univ, Funct Mat & Nanotechnol Ctr Excellence, Sch Sci, Nakhon Si Thammarat 80160, Thailand
[3] Kaen Univ, Fac Sci, Dept Stat, Khon Kaen 40002, Thailand
[4] Kaen Univ, Fac Med, Dept Biochem, Khon Kaen 40002, Thailand
关键词
DNA methylation; cytosine; 5-methylcytosine; carbon quantum dot; density functional theory; machine learning; MOLECULAR-ORBITAL METHODS; GAUSSIAN-TYPE BASIS; DNA; METHYLATION; ACID; RESOLUTION; OXIDATION; EMISSION; SENSOR; BLOOD;
D O I
10.1021/acsami.3c00785
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
DNA methylation is an epigenetic alteration that resultsin 5-methylcytosine(5-mC) through the addition of a methyl group to the fifth carbonof a cytosine (C) residue. The methylation level, the ratio of 5-mCto C, in urine might be related to the whole-body epigenetic statusand the occurrence of common cancers. To date, never before have anynanomaterials been developed to simultaneously determine C and 5-mCin urine samples. Herein, a dual-responsive fluorescent sensor forthe urinary detection of C and 5-mC has been developed. This assayrelied on changes in the optical properties of nitrogen-doped carbonquantum dots (CQDs) prepared by microwave-assisted pyrolysis. In thepresence of C, the blue-shifted fluorescence intensity of the CQDsincreased. However, fluorescence quenching was observed upon the additionof 5-mC. This was primarily due to photoinduced electron transferas confirmed by the density functional theory calculation. In urinesamples, our sensitive fluorescent sensor had detection limits forC and 5-mC of 43.4 and 74.4 & mu;M, respectively, and achieved satisfactoryrecoveries ranging from 103.5 to 115.8%. The simultaneous detectionof C and 5-mC leads to effective methylation level detection, achievingrecoveries in the range of 104.6-109.5%. Besides, a machinelearning-enabled smartphone was also developed, which can be effectivelyapplied to the determination of methylation levels (0-100%).These results demonstrate a simple but very effective approach fordetecting the methylation level in urine, which could have significantimplications for predicting the clinical prognosis.
引用
收藏
页码:40141 / 40152
页数:12
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