2022
DOI: 10.1016/j.aca.2022.339571
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Non-doped and non-modified carbon dots with high quantum yield for the chemosensing of uric acid and living cell imaging

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Cited by 16 publications
(5 citation statements)
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“…Following this, urine samples were prepared using synthetic human urine without UA (Figure 5d). Uric acid concentrations in the urine of healthy individuals typically range from 160 to 320 µM [47]. Therefore, we prepared a sample reflecting normal conditions by dissolving 300 µM of uric acid, within the normal range, in artificial urine.…”
Section: Ua Detection In Real Sample: Human Serum and Urinementioning
confidence: 99%
“…Following this, urine samples were prepared using synthetic human urine without UA (Figure 5d). Uric acid concentrations in the urine of healthy individuals typically range from 160 to 320 µM [47]. Therefore, we prepared a sample reflecting normal conditions by dissolving 300 µM of uric acid, within the normal range, in artificial urine.…”
Section: Ua Detection In Real Sample: Human Serum and Urinementioning
confidence: 99%
“…13 The linear detection ranges and LOD obtained in the established sensor to detect UA were compared with those in the previously reported studies so as to reveal its performance (Table S2, ESI †). At present, most of the fluorescence detection methods of UA are still based on the indirect detection way in the presence of enzymes, [39][40][41] in contrast, this work realizes the enzyme-free detection. Of note, the data show that the linear detection ranges and LOD are better than or comparable to those of the other methods (Table S2, ESI †).…”
Section: Sensitive and Selective Detection Of Uric Acidmentioning
confidence: 99%
“…Therefore, an accurate, rapid, and sensitive method for the detection of uric acid is important for effective gout control, diagnosis, and therapy. Thus far, various methods such as electrochemical detection [7–9], enzymatic method [10, 11], chromatography [12–14], and fluorescence spectroscopy have been developed for uric acid detection [15, 16]. However, disadvantages such as complicated sample pretreatments, expensive instruments, and insufficient sensitivity and selectivity greatly limit their wide application in complex biological samples [17].…”
Section: Introductionmentioning
confidence: 99%