RTO care

Sift-MS

관련기술2016.06.26 12:05

현존하는 최고의 가스 분석기가 아닌가 합니다.

   

   

   

   

- 실시간 분석(5초), 캘리브레이션이 필요없고, ppq, ppt 농도까지.....

   

- 질량검출 1~300Da 내, 약 900여종의 라이브러리....

   

- 입안 냄새를 SIFT-MS를 이용하여 무슨 암에 걸렸는지 ......까지도 현재 이용되고 있다합니다.

   

   

   

   

   

   

   

이제는 분석에 소요되는 필요없는 시간이 혁신적으로 줄어들고,

   

   

   

   

분석된 데이터 처리, 활용에 고민할 시대가 온듯 하네요.

   

   

   

   

개인적으로. 한 대 있으면...좋겠습니다. ^^ ㅋㅋ

   

   

   

   

정보 : http://www.atfrontier.com/product/productView.do?goodsSeq=110&gubun=sol&cateSeq=4&currentPage=2

   

   

   

   

   

   

   

   

   

   

SIFT-MS Selected Ion Flow Tube Mass Spectrometry

   

   

환경테라스 : 네이버 카페

http://cafe.naver.com/jjackhaps

2014-12-06 오후 8:14 - 화면 캡처

   

   

   

   

Selected ion flow tube mass spectrometry, SIFT-MS, is a technique for real-time measurement of concentrations of trace gases and vapours of volatile compounds in humid air including exhaled breath. It is based on chemical ionization using H3O+, NO+, and O2+ precursor (reagent) ions via ion/molecule reactions proceeding during an accurately defined time. Absolute concentrations of trace gases can be calculated from the ratios of ion count rates using the know reaction rate constants with a limit of detection being typically 1 parts-per-billion, ppb. SIFT-MS is used in several areas of research including non-invasive breath analysis for clinical diagnosis and for therapeutic monitoring, environmental research and security related research. Flowing afterglow mass spectrometry, FA-MS is a related simpler technique dedicated to rapid precise and accurate determination of deuterium abundance in exhaled breath and liquid headspace used in particular to study body composition and transport of water in relation to dialysis treatment of renal failure.

   

   

   

   

 

   

Overview of research and applications

   

History of SIFT-MS begins with the conception and development of the selected ion flow tube, SIFT, technique, for the study of ion-molecule reactions in the gas phase at thermal energies [1]. SIFT has provided rate coefficients and product ion distributions for thousands of ion molecule reactions [2] including those leading to the observed interstellar molecules. Thus, the idea of absolute measurement is very much embedded in the flow tube approach to the study of ionic reactions. In the SIFT technique, rate coefficients are determined by observing the decay rate of a swarm of mass selected reactant ions, which are being convected along a flow tube by fast flowing helium carrier gas, with reactant molecules that are introduced at a controlled flow rate into the carrier gas. A downstream analytical mass spectrometer/ ion counting system detect both reactant and product ions. SIFT-MS essentially inverts this procedure exploiting the knowledge of rate coefficients of the reactions of the reagent (precursor) ions with the molecules of analytes to determine their concentrations. Reaction times in SIFT-MS are about a millisecond and this allows the real time analysis for example of single breath exhalations.

   

   

   

Chemical ionization in SIFT-MS

   

SIFT-MS is based on chemical ionisation (CI) using selected reagent ions, H3O+, NO+ and O2+, coupled with fast flow tube technology and quantitative mass spectrometry. The reagent ions are chosen so that they do not react rapidly with the major components of air: N2, O2 and Ar, and also CO2 and water vapour, but do react rapidly with trace gases and vapours that are of interest in medical, biological and environmental research. A crucial difference between SIFT-MS and other CI techniques such as proton transfer reaction mass spectrometry, PTR-MS, that exploit only one reagent ion specie, typically H3O+ ions, is that all three reagent ion species can be used to analyse a given sample. Use of several reagent ions allows positive identification of a compound. For example, reaction of acetone with H3O+ proceeds via proton transfer producing CH3COCH3.H+ at an m/z value of 59, with NO+, the resulting product ion is NO+.CH3COCH3 at m/z 88 and with O2+, charge transfer with partial dissociation results in CH3COCH3+ (m/z 43) and CH3CO+ (m/z 58) and 43 respectively. Isobaric compounds can thus be distinguished by their different reactivity. For example, H3O+ reactions with isobaric compounds acetone and propanal both result in product ions at m/z 59 but NO+ reacts very differently with propanal via hydride ion extraction producing (M-H)+ (m/z 57) O2+ is also a valuable reagent ion that charge transfers with some compounds with which neither H3O+ nor NO+ react, a good examples being nitric oxide, NO, and nitrogen dioxide, NO2. O2+ also reacts with ammonia to produce NH3+, which gives a very valuable check on ammonia quantification obtained using H3O+ reagent ions. The ion chemistry together with its applications in various research fields has been reviewed in [3].

   

   

   

Absolute quantification

   

Absolute concentrations of trace gases and vapours in air, including volatile organic compounds and water vapour, can be calculated in real time using SIFT-MS, by considering the flow tube geometry, ionic reaction time, measured flow rates and pressure and ion-molecule reaction rate coefficients [4]. A combination of SIFT-MS with GC-MS is also showing some promise for absolute quantification of vapours after their separation in the GC column [5].

   

Case studies

   

SIFT-MS has wide-ranging applications in many areas of research including environmental science, animal an human physiology, medicine and cell biology. Outlines of the results obtained from several studies are outlined below to illustrate research carried out using SIFT-MS.

   

   

   

   

Breath analysis

   

Distribution in the healthy population.

   

In order to recognise abnormal levels of breath metabolites that may be indicative of disease [6], it is important to know their levels in the breath of the healthy population. The initial SIFT-MS 30-day study provided distributions of concentrations of the common breath metabolites ammonia, acetone, isoprene, ethanol and acetaldehyde in 5 healthy volunteers [7]. More extensive longitudinal study has been carried out of the breath of 30 healthy volunteers over a 6-month period [8, 9, 10] confirmed the general results of the initial study, but the larger amount of data allowed a better description of the distributions as log normal with a geometric standard deviation of typically 1.6. The median concentrations were found as ammonia 833 parts-per-billion, ppb, acetone 477 ppb, methanol 461 ppb, ethanol 112 ppb and isoprene 106 ppb [11]. Recently breath of more diverse volunteer cohorts in the age range from 4 to 83 years was analyzed [12, 13] with a special focus on determining the breath levels of HCN in population. Of great importance is also understanding of the origin of breath compounds, some are truly systemic released in the alveolae, and some are generated predominantly in the oral cavity [14].

   

   

   

Kinetics after ingestion of nutrients

   

A valuable feature of SIFT-MS is that analyses can be obtained in real time on time scales of seconds. Thus, it is possible to follow rapid changes in the level of volatile breath compounds and single breath exhalations can be analysed for several compounds simultaneously allowing relationships between compounds to be explored. To illustrate this, a study of the kinetics of ethanol metabolism and the production of acetaldehyde has been carried out following the ingestion of a small amount of ethanol (typically 5 ml in 500 ml of tap water) [15]. Similarly, time evolution of concentrations of breath acetone and ammonia after ingestion of carbohydrate and protein meals was studied [3]

   

   

   

Monitoring of breath during haemodialysis for patients with end-stage renal failure.

   

An early SIFT-MS study was to carried out to measure the levels of common breath metabolites in the breath of several patients before and during haemodialysis sessions [16]. Levels of breath ammonia prior to dialysis were found to often exceed10 parts-per-million, ppm, as compared to a typical value for the healthy population. Acetone levels in the breath of the diabetics were about ten times greater than those of the healthy population. The levels of both these metabolites decreased toward normal levels during dialysis, but in some cases the breath isoprene levels actually increased.

   

   

   

   

Hydrogen cyanide in breath of children with cystic fibrosis.

   

One of the serious complications in cystic fibrosis, CF, is infection by Psedomonas aeruginosa. Volatile emissions from bacterial cultures grown from cough swabs from children with CF have been investigated [17] with the startling result that HCN is seen to be emitted specifically from Pseudomonas aeruginosa, PA. Very recently SIFT-MS demonstrated that HCN is indeed elevated in breath of children with CF and a use of this breath test could greatly assist treatment.

   

   

   

   

Volatile compounds in headspace of urine and cell cultures

   

Volatile markers of infection and tumours in urinary headspace.

   

Trace gas analysis has a potential to assist in the early detection of tumours. Formaldehyde was found to be significantly increased in urine from patients with prostate and bladder cancer in comparison with the headspace of urine from healthy controls [18]. It was also observed that nitric oxide gas were present above the acidified urine from some patients with urinary bacterial infection [19]. Recently SIFT-MS methodology and ion chemistry was advanced to allow quantification of trace levels of the potential cancer biomarkers formaldehyde, acetaldehyde and propanol at much lower levels [20].

   

   

   

   

Acetaldehyde released by cancer cells in-vitro.

   

As an extension to the search for volatile biomarkers of tumours, SIFT-MS studies have been carried out on the emissions from lung cancer cell lines [21]. These were grown in calf serum and the headspace concentrations of several volatiles were measured for varying numbers of cells in the medium. A wide range of organic species were seen to be present in the headspace, including methanol, ethanol and acetone, but the important observation was that acetaldehyde was present at a concentration in close proportion to the number of cells in the medium. The number of acetaldehyde molecules generated was of order of 106 per cell per minute. The next phase of this work (and that reported in 3.7) is to search for these aldehydes and other compounds in the exhaled breath of patients suffering from lung cancer using on line SIFT-MS breath analysis.

   

   

   

   

Ovulation.

   

Volatile compounds in the headspace of urine from a normally ovulating volunteer were studied over three complete menstrual periods and concurrent with the time of ovulation a 3-12 fold increase in the urine headspace acetone was observed [22]. This phenomenon has subsequently been observed in seven normally ovulating volunteers; significantly, it is not seen in post-menopausal volunteers [23].

   

   

   

   

Aldehydes and other compounds in exhaust gases.

   

SIFT-MS was used to research concentrations of compounds in petrol and diesel engine exhaust gases relevant to health and safety concerns [24, 25]. SIFT-MS was connected on line to analyse exhaust a large diesel engine using three types of fuel, viz. ultra-low sulphur diesel, rapeseed methyl ester and gas oil. Compounds detected and quantified included aldehydes that are know respiratory irritants causing asthma and also aliphatic and aromatic hydrocarbons, alcohols and others. The combined use of H3O+ and NO+ was essential to distinguish between isobaric compounds, especially to positively identify of various aldehydes including acrolein. The O2+ reagent ions were used to quantifying NO and NO2 present.

   

   

   

Volatile compounds in rumen gas.

   

This research was carried out in collaboration with a group concerned with the welfare of diary cows [26]. Samples were taken into bags from the headspace of the rumen liquor of three lactating cows prepared with rumen vistulae. H2S, (CH3)2S, CH3SH, ammonia and volatile fatty acids were the dominant compounds analysed using SIFT-MS as a function of the period after feeding. Relatively large amounts of sulphur containing compounds released by cattle may be a significant contribution to atmospheric burden when considering the chemistry of global climate change.

   

   

   

Detection of explosives and products of explosions

   

Resent results demonstrating use of SIFT-MS to analyse industrial explosives and the byproducts of their explosion are detailed in a contribution by Kseniya Dryahina at this meeting.

   

   

   

   

Thermal decomposition and combustion products of disposable polyethylene terephthalate (PET)

   

   

Samples of PET material were combusted by free burning and also in a standardized furnace at controlled temperatures of 500C, 800C. The gaseous products were then analysed using three different analytical methods: high resolution Fourier transform infrared spectroscopy (FTIR), selected ion flow tube mass spectrometry (SIFT-MS) and gas chromatography mass spectrometry (GC-MS). [27]

   

   

   

   

Flowing afterglow mass spectrometry FA-MS for quantification of deuterium in water vapour and the measurement of total body water, TBW.

   

An important development that stemmed from SIFT-MS is flowing afterglow mass spectrometry, FA-MS [28], which is exploited for the on-line, real time analysis of the deuterium content of breath water vapour and the headspace of aqueous liquids. This technique relies on the accurate measurement of the of the water cluster ions signal ratio H3O+(H2O)2HDO/H3O+(H2O)2H218O as generated in an afterglow plasma from H3O+ precursor ions and the mixture of H2O and HDO molecules present in a breath/headspace introduced into the plasma. Thus, following a known dose of D2O, the deuterium disperses as HDO throughout the TBW and, at equilibrium, a measurement of the deuterium content of single breath exhalations provides a measure of the TBW, a parameter so important in body composition and renal studies [29, 30].

   

Concluding remarks

   

   

SIFT-MS has already been used with success in various interdisciplinary fields. However, it is also been continuously improved both from the point of view of sensitivity and performance, where the fundamental understanding of the processes in the plasma of the microwave discharge ion source is vital [31] and from the point of view of understanding the fine details of ion chemistry relevant to analysis at sub ppb levels [32].

   

   

   

   

References

   

[1] N.G. Adams, D. Smith, Int J Mass Spectrom Ion Physics 21 (1976) 349.

   

[2] V.G. Anicich, An index of the literature for bimolecular gas phase cation-molecule reaction kinetics, JPL Publication 03a€"19. NASA, <st1:place w:st="on"><st1:city w:st="on">Pasadena</st1:city></st1:place>, 2003.

   

[3] D. Smith, P. A panel, Mass Spectrom Reviews 24 (2005) 661.

   

   

   

[4] P. Spanel, K. Dryahina, D. Smith, Int. J. Mass Spectrom 249/250 (2006) 230.

   

   

   

   

[5] J. Kubista, P. Spanel, K. Dryahina, C. Workmanm, D. Smith, Rapid Commun Mass Spectrom 20 (2006) 563.

   

   

   

   

[6] A. Amman, D. Smith, Breath Analysis for Clinical Diagnosis and Therapeutic Monitoring, World Scientific, Singapore, 2005.

   

   

   

   

[7] A.M. Diskin, P. A panel, D. Smith, Physiol Meas 24 (2003) 107.

   

   

   

   

[8] C. Turner, P. A panel, D. Smith, Physiol Meas 27 (2006) 637.

   

   

   

   

[9] C. Turner, P. A panel P, D. Smith , Physiol Meas 27 (2006) 321.

   

   

   

   

[10] C. Turner, P. A panel P, D. Smith , Rapid Commun Mass Spectrom, 20 (2006) 61.

   

   

   

   

[11] C. Turner, P. A panel P, D. Smith , Physiol. Meas, 27 (2006) 13.

   

   

   

   

[12] P. A panel, K. Dryahina, D. Smith, J. Breath Res. 1 (2007) 011001.

   

[13] P. A panel, K. Dryahina, D. Smith, J. Breath Res. 1 (2007) 026001.

   

[14] A Pysanenko, P A panel, D Smith J. Breath Res. 2 (2008) 046004 (13pp)

   

[15] D. Smith, T.S. Wang and P. A panel, Physiol. Meas 23 (2002) 477-489.

   

   

   

   

[16] S. Davies, P. A panel, D. Smith, Kidney Int, 52 (1997) 223.

   

   

   

   

[17] W. Carroll, W. Lenney, T.S. Wang, P. A panel, A. Alcock, D. Smith, Pediatric Pulmonology, 39 (2005) 452.

   

[18] P. A panel, D. Smith, T.A. Holland, W. Al Singary, J.B. Elder, Rapid Commun Mass Spectrom, 13 (1999) 1354.

   

   

   

   

[19] D. Smith, P. A panel, T.A. Holland, W. Al Singari and J.B. Elder, Rapid Commun Mass Spectrom, 13 (1999) 724.

   

   

   

   

[20] P. Spanel, D. Smith, J. Breath Res. 2 (2008) 046003

   

   

   

   

[21] D. Smith, T.S. Wang, J. Sule-Suso, P. A panel, A. El Haj Rapid Commun Mass Spectrom, 17(2003) 845.

   

[22] A.M. Diskin, P. A panel, D. Smith Physiol Meas 24 (2003) 191.

   

   

   

   

[23] D. Smith, K.M.K. Ismail, A.M. Diskin, G. Chapman, J.L. Magnay, P.A panel, S. Oa€™brien, Acta Obstetricia et Gynecologica 85 (2006) 1008.

   

   

   

   

[24] D. Smith, P. Cheng, P. A panel, Rapid Comm Mass Spectrom 16, (2002), 1124.

   

   

   

[25] D. Smith, P. A panel, D. Dabill, J. Cocker, B. Rajan, Rapid Comm Mass Spectrom 18 (2004) 2830.

   

   

   

   

[26] R.J. Dewhurst, R.T. Evans, P. A panel, D. Smith, Dairy Sci 84 (2001) 1438.

   

   

   

   

[27] K. Sovova et al. Mol. Phys. 106 (2008) 1205.

   

[28] D. Smith and P. A panel, Rapid Commun Mass Spectrom15 (2001) 25.

   

   

   

[29] R.B. Asghar, A.M. Diskin, P. A panel, D. Smith, S. Davies Kidney Int 64 (2003) 1911.

   

   

   

   

[30] P. A panel, T.S. Wang, D. Smith, Physiol Meas 26 (2005) 447.

   

   

   

   

[31] P. A panel, K. Dryahina, D. Smith Int. J. Mass Spectrom. 267 (2007) 117-124.

   

   

   

   

   

   

[32] P. A panel, D. Smith Influence of weakly bound adduct ions on breath trace gas analysis by selected ion flow tube mass spectrometry (SIFT-MS) Int. J. Mass Spectrom. (2009) in press, corrected proof.

   

[출처] 현존하는 최고의 가스 분석기가 아닌가 합니다. - SIFT-MS (환경테라스) |작성자 해피트리

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