• 제목/요약/키워드: Breath Analysis

검색결과 168건 처리시간 0.02초

Delayed Analysis of Hydrogen-Methane Breath Samples

  • Willemsen, Marjolein;Van De Maele, Kristel;Vandenplas, Yvan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제25권1호
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    • pp.13-20
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    • 2022
  • Purpose: Hydrogen-methane breath tests are used to diagnose carbohydrate malabsorption and small intestinal bacterial overgrowth. The COVID-19 pandemic has driven the modification of procedures as breath tests are potentially aerosol-generating procedures. We assessed the effect of delayed analysis of breath samples, facilitating the at-home performance of breath testing. Methods: Children provided two breath samples at every step of the lactose breath test. The samples were brought back to the clinic, and one set of samples was analyzed immediately. The second set was stored at room temperature and analyzed 1-4 days later. Results: Out of the 73 "double" lactose breath tests performed at home, 33 (45.8%) were positive. The second samples were analyzed 20 to 117 hours after the first samples (41.7±24.3 hours). There was no significant difference in the hydrogen concentration between the first and second sets (Z=0.49, p=0.62). This was not the case for methane, which had a significantly higher concentration in the second breath samples (Z=7.6). Conclusion: Expired hydrogen levels remain stable in plastic syringes if preserved at room temperature for several days. On the other hand, the delayed analysis of methane appeared to be less reliable. Further research is needed to examine the impact of delayed analysis on methane and hydrogen concentrations.

영양소와 열량측정법의 발달과정 및 간접 열량 측정법 (Historical Development of Nutrient and Calorimetry and Expired Gas Analysis Indirect Calorimetry)

  • 윤병곤;김종원;김도연
    • 생명과학회지
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    • 제20권8호
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    • pp.1159-1165
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    • 2010
  • 간접 열량측정법은 호흡 시의 산소 소모량이나 이산화탄소나 질소의 배출량을 측정해 에너지 소모량을 측정하고, 산화작용의 열 방출량(칼로리소비)을 산출하여 측정한다. 지난 20년 내에 간접 열량측정법에서 사용된 laboratory와 computerized 시스템은 현저하게 발전되었으며, 특히 매 호흡의 변인의 산출을 가능하게 해주는 호흡당 시스템의 사용이 증가되었다. 많은 이전의 연구에서 호흡당 시스템은 간접 열량측정도구로 타당도와 신뢰도가 높아 실험에 적합하다고 평가 하였다. 본 연구는 간접 열량측정법의 가장 적합한 호흡당 시스템을 분석하고자 한다. 하지만 다른 모든 호흡당 간접열량측정계의 타당도와 신뢰도의 효과를 검증한 연구가 많지 않다는 문제점이 있다. 그러므로, 앞으로 연구에서는 호흡당 간접열량측정계의 가장 타당도와 신뢰도가 높은 적합한 측정도구가 필요하다고 사료된다.

언어 수행에서의 호흡과 기억 -호흡 단위와 휴지 단위의 양적 분석 결과를 바탕으로- (Breath and Memory in Speech based on Quantitative Analysis of Breath Groups and Pause Units in Korean)

  • 신지영
    • 한국어학
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    • 제79권
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    • pp.91-116
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    • 2018
  • This paper aims at proposing issues of breath and memory in speech based on the quantitative analysis of breath groups and pause units in Korean. As a human being, we have two kinds of limitations on continuing speech; breath and memory. The prosodic structure and temporal structure of spontaneous speech data from six speakers were closely examined. One of the main findings of the present study is that the prosodic structure and temporal structure of Korean appears to reflect the breath and memory problems in speech.

Analysis of Acetone Absorption Spectra Using Off-axis Integrated Cavity Output Spectroscopy for a Real-time Breath Test

  • Lim Lee;Yonghee Kim;Byung Jae Chun;Taek-Soo Kim;Seung-Kyu Park;Kwang-Hoon Ko;Ki-Hee Song;Hyunmin Park
    • Current Optics and Photonics
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    • 제7권6호
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    • pp.761-765
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    • 2023
  • We analyzed the absorption spectra of acetone in the 3.37 ㎛ mid-infrared range using the off-axis integrated cavity output spectroscopy technique to develop a real-time, in-line breath analysis device. The linear relationship between acetone concentration and absorption increase was confirmed as 0.32%/ppm, indicating that the developed device allows for a quantitative analysis of acetone concentration in exhaled breath. To further confirm the feasibility of using our device for breath analysis, we measured the acetone concentration of human breath samples at the sub-ppm level.

산화물 반도체를 이용한 최신 호기센서 기술 동향 (Recent Developments in Metal Oxide Gas Sensors for Breath Analysis)

  • 윤지욱;이종흔
    • 세라미스트
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    • 제22권1호
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    • pp.70-81
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    • 2019
  • Breath analysis is rapidly evolving as a non-invasive disease recognition and diagnosis method. Metal oxide gas sensors are one of the most ideal platforms for realizing portable, hand-held breath analysis devices in the near future. This paper reviewed the recent developments in metal oxide gas sensors detecting exhaled biomarker gases such as nitric oxides, acetone, ammonia, hydrogen sulfide, and hydrocarbons. Emphasis was placed on strategies to tailor sensing materials/films capable of highly selective and sensitive detection of biomarker gases with negligible cross-response to ethanol, the major interfering breath gas. Specific examples were given to highlight the validity of the strategies, which include optimization of sensing temperature, doping additives, utilizing acid-base interaction, loading catalysts, and controlling gas reforming reaction. In addition, we briefly discussed the design and optimization method of gas sensor arrays for implementing the simultaneous assessment of multiple diseases. Breath analysis using high-performance metal oxide gas sensors/arrays will open new roads for point-of-care diagnosis of diseases such as asthma, diabetes, kidney dysfunction, halitosis, and lung cancer.

Intelligent Electronic Nose System for Detection of VOCs in Exhaled Breath

  • Byun, Hyung-Gi;Yu, Joon-Bu
    • 센서학회지
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    • 제28권1호
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    • pp.7-12
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    • 2019
  • Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

정상 성인 화자와 음성장애 성인 화자의 문단낭독 시 호흡단락에 대한 비교 연구: 예비연구 (A Comparison Study of Breath Groups during Reading Paragraph Tasks in Normal Adults and Adult Patients with Voice Disorders: A Preliminary Study)

  • 표화영;김소연;백승국
    • 말소리와 음성과학
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    • 제6권4호
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    • pp.181-187
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    • 2014
  • The present study was performed to investigate the characteristics of breath groups while reading paragraph in normal adults and adult patients with voice disorders. 10 normal females(avr. 20.6 yrs.), 10 young voice disorder females(avr. 33.5 yrs., P1 group), and 10 old voice disorder females(avr. 56.3 yrs., P2 group) read a paragraph of 210 syllables. By using the 'Running Speech' program of the Phonatory Aerodynamic System(PAS), total duration, numbers of breath groups, duration per breath group, and numbers of syllables per breath group were measured, and their correlations with aerodynamic measurement results of reading were analyzed. As a result, in total duration, numbers of breath groups, normals scored highest and P2 group speakers, lowest. Normals showed the longest duration per breath group which was not significant. P2 group speakers showed the highest numbers of syllables per breath group. Correlation analysis showed significantly high correlation scores of total duration and expiratory airflow; numbers of breath groups and inspiratory volume.

Sensor array optimization techniques for exhaled breath analysis to discriminate diabetics using an electronic nose

  • Jeon, Jin-Young;Choi, Jang-Sik;Yu, Joon-Boo;Lee, Hae-Ryong;Jang, Byoung Kuk;Byun, Hyung-Gi
    • ETRI Journal
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    • 제40권6호
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    • pp.802-812
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    • 2018
  • Disease discrimination using an electronic nose is achieved by measuring the presence of a specific gas contained in the exhaled breath of patients. Many studies have reported the presence of acetone in the breath of diabetic patients. These studies suggest that acetone can be used as a biomarker of diabetes, enabling diagnoses to be made by measuring acetone levels in exhaled breath. In this study, we perform a chemical sensor array optimization to improve the performance of an electronic nose system using Wilks' lambda, sensor selection based on a principal component (B4), and a stepwise elimination (SE) technique to detect the presence of acetone gas in human breath. By applying five different temperatures to four sensors fabricated from different synthetic materials, a total of 20 sensing combinations are created, and three sensing combinations are selected for the sensor array using optimization techniques. The measurements and analyses of the exhaled breath using the electronic nose system together with the optimized sensor array show that diabetic patients and control groups can be easily differentiated. The results are confirmed using principal component analysis (PCA).

Exhaled breath Analysis for Body Burden Estimates of Aromatic Volatile Organic Compounds

  • Jo, Wan-Kuen;Song, Ki-Bum;Nam, Chang-Mo
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제4권1호
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    • pp.25-29
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    • 2000
  • The present study evaluated the body burden of aromatic VOCs in roadside and underground storekeepers. The Method Detection Limit(MDL) of the analytical system ranged from 0.2 to 0.4$\mu\textrm{g}$/m3 for the target VOCs. The recovery of the sampling system for the compounds was above 80%. For all the target compounds, the breath concentrations of the smokes were similar to or slightly higher than those of the nonsmokers for both the roadside and underground storekeepers. For Ethylbenzene, p-Xylene, and o-Xylene, the breath concentrations of the underground storekeepers were somewhat higher than those of the roadside storekeepers. In contrast, the breath m-xylene concentration of underground storekeepers was similar to that of roadside storekeepers. For both the roadside and underground storekeepers, the breath concentrations prior to and after work were not significantly different.

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호흡변이도와 POMS(profile of mood states)의 상관성 연구 (Correlation Analysis of Respiratory variability and POMS factors)

  • 김동원;박영재;허영;박영배
    • 대한한의진단학회지
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    • 제12권2호
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    • pp.84-95
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    • 2008
  • Background and purpose: Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. The aim of this study is to analyze Correlation Analysis of 10 respiratory indices(include breath to breath variability) and K-POMS factors score. Method: Respiratory data were measured during 15 minutes and transferred to text file. We calculated 10 respiratory parameters in use of MATLAB7.1. After then do correlation analysis of 10 respiratory indices and K-POMS factors score. Result and conclusion: Respiratory variability is showed significant correlation with vigor factor. Respiratory rate is showed significant correlation with depression factor.

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