2014
DOI: 10.1016/j.snb.2014.04.015
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Highly sensitive and selective acetone sensor based on C-doped WO3 for potential diagnosis of diabetes mellitus

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Cited by 160 publications
(73 citation statements)
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“…The slight difference was attributed to the doping effect of cellulose as reported previously by Xiao et al [4].…”
Section: Materials Characterizationsupporting
confidence: 64%
See 1 more Smart Citation
“…The slight difference was attributed to the doping effect of cellulose as reported previously by Xiao et al [4].…”
Section: Materials Characterizationsupporting
confidence: 64%
“…Acetone derivatives have also been proposed as a potential biomarker present in human breath for clinical analysis of diseases such as Diabetes Mellitus (DM). The concentration of acetone in human breath has been reported within 300-900 ppbv for healthy subjects and 1800 ppbv for diabetic subjects [4,5]. Even though detection of acetone is of practical relevance, the complexity of current techniques available for analysis of gaseous samples such as gas chromatography and ion flow tube mass spectrometry avoids an effective monitoring of acetone.…”
Section: Introductionmentioning
confidence: 99%
“…The most representative sensor materials such as SnO 2 [1], ZnO [2], [3][4][5], Fe 2 O 3 [6], Co 3 O 4 [7], TiO 2 [8], WO 3 [9] and so on, show excellent gas-sensing properties to reducing or oxidizing gases. SnO 2 as a type of wide-band gap semiconductor has been proven to be a kind of excellent gas-sensing material with high sensitivity to ppm (parts per million) level and sometimes even better [10].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the medical reports show that a large amount of acetone is generated and acetone concentration is found to elevate by about two degrees of magnitude in the plasma of diabetic patients [5][6][7]. Hence, acetone is generally regarded as an important biomarker of diabetes or accessorial tool for diabetes diagnosis [8][9][10][11][12][13][14][15][16]. The commonly analytical techniques for determining acetone for diabetes diagnosis are based on derivatization techniques or mass spectrometry (MS) in conjunction with separation techniques, such as highperformance liquid chromatography (HPLC), gas chromatography (GC) [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the various types of acetone sensors based on different sensing principles have been fabricated due to their simplicity, precision and convenience. However, the reported acetone sensors are either poorly selective or inadequately sensitive [12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%