Determination of acetone in human breath by gas chromatography–mass spectrometry and solid-phase microextraction with on-fiber derivatization

Deng, Chunhui; Jie, Zhang; Yu, Xiaofeng; Zhang, Wei; Zhang, Xiangmin

doi:10.1016/j.jchromb.2004.08.013

Cited by 178 publications

(54 citation statements)

References 36 publications

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“…Previous studies have shown a close correlation between the concentrations of ketones released from the skin and blood levels [9]. Breath acetone concentration is also reported to be elevated in type 2 diabetes mellitus, and it can be used to diagnose the onset of diabetes [10]. We used the GC/MS method to detect exhaled acetone, which is capable of detecting over 200 constituents of exhaled breath and is highly sensitive to typical volatile organic compounds.…”

Section: Discussionmentioning

confidence: 99%

Breath Ketone Testing: A New Biomarker for Diagnosis and Therapeutic Monitoring of Diabetic Ketosis

Qiao

Gao

Liu

et al. 2014

BioMed Research International

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Background. Acetone, β-hydroxybutyric acid, and acetoacetic acid are three types of ketone body that may be found in the breath, blood, and urine. Detecting altered concentrations of ketones in the breath, blood, and urine is crucial for the diagnosis and treatment of diabetic ketosis. The aim of this study was to evaluate the advantages of different detection methods for ketones, and to establish whether detection of the concentration of ketones in the breath is an effective and practical technique. Methods. We measured the concentrations of acetone in the breath using gas chromatography-mass spectrometry and β-hydroxybutyrate in fingertip blood collected from 99 patients with diabetes assigned to groups 1 (−), 2 (±), 3 (+), 4 (++), or 5 (+++) according to urinary ketone concentrations. Results. There were strong relationships between fasting blood glucose, age, and diabetic ketosis. Exhaled acetone concentration significantly correlated with concentrations of fasting blood glucose, ketones in the blood and urine, LDL-C, creatinine, and blood urea nitrogen. Conclusions. Breath testing for ketones has a high sensitivity and specificity and appears to be a noninvasive, convenient, and repeatable method for the diagnosis and therapeutic monitoring of diabetic ketosis.

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Section: Discussionmentioning

confidence: 99%

Breath Ketone Testing: A New Biomarker for Diagnosis and Therapeutic Monitoring of Diabetic Ketosis

Qiao

Gao

Liu

et al. 2014

BioMed Research International

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“…2 Nearly 30 years later, using improved measurement equipment, Phillips et al stated that there were over 3000 different substances, mainly volatile organic compounds (VOCs), in an exhaled breath sample. 3 Parallel studies have shown that a small number of these exhaled substances can be linked to various human aliments, e.g., in asthma, 4 diabetes, 5,6 breast cancer, 7,8 colorectal cancer, 9 esophagogastric cancer, 10 and lung cancer. [11][12][13] Developing a breath analyzer can be divided into four broad stages: collection, purification/concentration, detection, and analysis.…”

Section: Introductionmentioning

confidence: 99%

A Raman cell based on hollow core photonic crystal fiber for human breath analysis

Chow

Short²,

Lam³

et al. 2014

Medical Physics

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The results of this study were compared to a previous study using HC-PCF to trap industrial gases and backward-scatter 514.5 nm light from them. The authors found that the method presented in this paper has an advantage to enhance the signal-to-noise ratio (SNR). This SNR advantage, coupled with the better transmission of HC-PCF in the near-IR than in the visible wavelengths led to an estimated seven times improvement in the detection sensitivity. The authors' prototype device also demonstrated a 100-fold improvement over a recently reported detection limit of a reflective capillary fiber-based Raman cell for breath analysis. Continued development is underway to increase the detection sensitivity further to reach practical clinical applications.

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“…The sampling techniques include direct sampling, partly using sample loops [41][42][43][44], Tedlar bags [45][46][47][48], SPME [4,5,[49][50][51] and different adsorbents [20,26,52]. In all cases mentioned, a non-invasive and easy method for early diagnosis or therapy monitoring should be developed by identifying diseasespecific biomarkers in the breath of patients.…”

Section: Introductionmentioning

confidence: 99%

One-year time series of investigations of analytes within human breath using ion mobility spectrometry

Bunkowski

Maddula

Davies

et al. 2010

Int. J. Ion Mobil. Spec.

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Ion mobility Spectrometry is used to detect volatile analytes within human breath directly. Many volatile organic compounds (VOC) show significant dayto-day variation in the signal height related to the concentration of the analyte, although the breath collection had been performed under the same conditions with respect to similar sampling procedure, similar dead volume, similar measurement time, and measurement conditions. Variations of 8 different analytes are investigated over a time period of 11 months in the exhaled breath of the same person in the same room environment. The individual variability is reported for Benzothiazole; D-Limonene; Eucalyptol; Decamethylcyclopentasiloxane; Decanal; 1-Hexanol, 2-ethyl-; Cyclohexanone, 5-methyl-2-(1-methylethyl) and Nonanal. The paper shows, that the individual variability must be taken into consideration to relate the findings to medical questions. Therefore, the room air concentration of VOCs must be taken into account, so that the difference between exhaled and inhaled air has to be used as indicator. Finally, starting with individual variabilities, the normal variation related to the specific analyte should be considered in addition.

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Determination of acetone in human breath by gas chromatography–mass spectrometry and solid-phase microextraction with on-fiber derivatization

Cited by 178 publications

References 36 publications

Breath Ketone Testing: A New Biomarker for Diagnosis and Therapeutic Monitoring of Diabetic Ketosis

Breath Ketone Testing: A New Biomarker for Diagnosis and Therapeutic Monitoring of Diabetic Ketosis

A Raman cell based on hollow core photonic crystal fiber for human breath analysis

One-year time series of investigations of analytes within human breath using ion mobility spectrometry

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