Log in

Relevant bibliographies by topics / Volatile Biomarkers / Journal articles

Journal articles on the topic 'Volatile Biomarkers'

To see the other types of publications on this topic, follow the link: Volatile Biomarkers.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Volatile Biomarkers.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Zhang, Haipeng, Huan Wen, Jiajing Chen, Zhaoxin Peng, Meiyan Shi, Mengjun Chen, Ziyu Yuan, Yuan Liu, Hongyan Zhang, and Juan Xu. "Volatile Compounds in Fruit Peels as Novel Biomarkers for the Identification of Four Citrus Species." Molecules 24, no. 24 (December 12, 2019): 4550. http://dx.doi.org/10.3390/molecules24244550.

Full text

Abstract:

The aroma quality of citrus fruit is determined by volatile compounds, which bring about different notes to allow discrimination among different citrus species. However, the volatiles with various aromatic traits specific to different citrus species have not been identified. In this study, volatile profiles in the fruit peels of four citrus species collected from our previous studies were subjected to various analyses to mine volatile biomarkers. Principal component analysis results indicated that different citrus species could almost completely be separated. Thirty volatiles were identified as potential biomarkers in discriminating loose-skin mandarin, sweet orange, pomelo, and lemon, while 17 were identified as effective biomarkers in discriminating clementine mandarins from the other loose-skin mandarins and sweet oranges. Finally, 30 citrus germplasms were used to verify the classification based on β-elemene, valencene, nootkatone, and limettin as biomarkers. The accuracy values were 90.0%, 96.7%, 96.7%, and 100%, respectively. This research may provide a novel and effective alternative approach to identifying citrus genetic resources.

APA, Harvard, Vancouver, ISO, and other styles

2

Milanowski, Maciej, Paweł Pomastowski, Tomasz Ligor, and Bogusław Buszewski. "Saliva – Volatile Biomarkers and Profiles." Critical Reviews in Analytical Chemistry 47, no. 3 (January 12, 2017): 251–66. http://dx.doi.org/10.1080/10408347.2016.1266925.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Chai, Hwa Chia, and Kek Heng Chua. "The Potential Use of Volatile Biomarkers for Malaria Diagnosis." Diagnostics 11, no. 12 (November 30, 2021): 2244. http://dx.doi.org/10.3390/diagnostics11122244.

Full text

Abstract:

Pathogens may change the odor and odor-related biting behavior of the vector and host to enhance pathogen transmission. In recent years, volatile biomarker investigations have emerged to identify odors that are differentially and specifically released by pathogens and plants, or the pathogen-infected or even cancer patients. Several studies have reported odors or volatile biomarkers specifically detected from the breath and skin of malaria-infected individuals. This review will discuss the potential use of these odors or volatile biomarkers for the diagnosis of malaria. This approach not only allows for the non-invasive mean of sample collection but also opens up the opportunity to develop a biosensor for malaria diagnosis in low-resource settings.

APA, Harvard, Vancouver, ISO, and other styles

4

Kwak, Jae, Michelle Gallagher, Mehmet Hakan Ozdener, Charles J. Wysocki, Brett R. Goldsmith, Amaka Isamah, Adam Faranda, et al. "Volatile biomarkers from human melanoma cells." Journal of Chromatography B 931 (July 2013): 90–96. http://dx.doi.org/10.1016/j.jchromb.2013.05.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Jerković, Igor. "Volatile Benzene Derivatives as Honey Biomarkers." Synlett 24, no. 18 (August 12, 2013): 2331–34. http://dx.doi.org/10.1055/s-0033-1338972.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Issitt, Theo, Laura Wiggins, Martin Veysey, Sean T. Sweeney, William J. Brackenbury, and Kelly Redeker. "Volatile compounds in human breath: critical review and meta-analysis." Journal of Breath Research 16, no. 2 (February 23, 2022): 024001. http://dx.doi.org/10.1088/1752-7163/ac5230.

Full text

Abstract:

Abstract Volatile compounds contained in human breath reflect the inner workings of the body. A large number of studies have been published that link individual components of breath to disease, but diagnostic applications remain limited, in part due to inconsistent and conflicting identification of breath biomarkers. New approaches are therefore required to identify effective biomarker targets. Here, volatile organic compounds have been identified in the literature from four metabolically and physiologically distinct diseases and grouped into chemical functional groups (e.g. methylated hydrocarbons or aldehydes; based on known metabolic and enzymatic pathways) to support biomarker discovery and provide new insight on existing data. Using this functional grouping approach, principal component analysis doubled explanatory capacity from 19.1% to 38% relative to single individual compound approaches. Random forest and linear discriminant analysis reveal 93% classification accuracy for cancer. This review and meta-analysis provides insight for future research design by identifying volatile functional groups associated with disease. By incorporating our understanding of the complexities of the human body, along with accounting for variability in methodological and analytical approaches, this work demonstrates that a suite of targeted, functional volatile biomarkers, rather than individual biomarker compounds, will improve accuracy and success in diagnostic research and application.

APA, Harvard, Vancouver, ISO, and other styles

7

De Moraes, Consuelo M., Caroline Wanjiku, Nina M. Stanczyk, Hannier Pulido, James W. Sims, Heike S. Betz, Andrew F. Read, Baldwyn Torto, and Mark C. Mescher. "Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans." Proceedings of the National Academy of Sciences 115, no. 22 (May 14, 2018): 5780–85. http://dx.doi.org/10.1073/pnas.1801512115.

Full text

Abstract:

Malaria remains among the world’s deadliest diseases, and control efforts depend critically on the availability of effective diagnostic tools, particularly for the identification of asymptomatic infections, which play a key role in disease persistence and may account for most instances of transmission but often evade detection by current screening methods. Research on humans and in animal models has shown that infection by malaria parasites elicits changes in host odors that influence vector attraction, suggesting that such changes might yield robust biomarkers of infection status. Here we present findings based on extensive collections of skin volatiles from human populations with high rates of malaria infection in Kenya. We report broad and consistent effects of malaria infection on human volatile profiles, as well as significant divergence in the effects of symptomatic and asymptomatic infections. Furthermore, predictive models based on machine learning algorithms reliably determined infection status based on volatile biomarkers. Critically, our models identified asymptomatic infections with 100% sensitivity, even in the case of low-level infections not detectable by microscopy, far exceeding the performance of currently available rapid diagnostic tests in this regard. We also identified a set of individual compounds that emerged as consistently important predictors of infection status. These findings suggest that volatile biomarkers may have significant potential for the development of a robust, noninvasive screening method for detecting malaria infections under field conditions.

APA, Harvard, Vancouver, ISO, and other styles

8

Pinto, Joana, Ângela Carapito, Filipa Amaro, Ana Rita Lima, Carina Carvalho-Maia, Maria Conceição Martins, Carmen Jerónimo, Rui Henrique, Maria de Lourdes Bastos, and Paula Guedes de Pinho. "Discovery of Volatile Biomarkers for Bladder Cancer Detection and Staging through Urine Metabolomics." Metabolites 11, no. 4 (March 26, 2021): 199. http://dx.doi.org/10.3390/metabo11040199.

Full text

Abstract:

Timely diagnosis is crucial to improve the long-term survival of bladder cancer (BC) patients. The discovery of new BC biomarkers based in urine analysis is very attractive because this biofluid is in direct contact with the inner bladder layer, in which most of the neoplasms develop, and is non-invasively collected. Hence, this work aimed to unveil alterations in the urinary volatile profile of patients diagnosed with BC compared with cancer-free individuals, as well as differences among patients diagnosed at different tumor stages, to identify candidate biomarkers for non-invasive BC diagnosis and staging. Urine analysis was performed by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS). The results unveiled that BC patients have a distinct urinary volatile profile characterized by higher levels of several alkanes and aromatic compounds, and lower levels of aldehydes, ketones and monoterpenes. Seventeen significantly altered volatiles were used to evaluate the performance for overall BC detection, disclosing 70% sensitivity, 89% specificity and 80% accuracy. Moreover, distinct urinary volatile profiles were found among patients diagnosed at different tumor stages (Ta/Tis, T1 and ≥T2). This work identified distinct urinary volatile signatures of BC patients with potential for non-invasive detection and staging of bladder cancer.

APA, Harvard, Vancouver, ISO, and other styles

9

Wallace, Lance, Timothy Buckley, Edo Pellizzari, and Sydney Gordon. "Breath Measurements as Volatile Organic Compound Biomarkers." Environmental Health Perspectives 104 (October 1996): 861. http://dx.doi.org/10.2307/3433003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kwak, Jae, and George Preti. "Volatile Disease Biomarkers in Breath: A Critique." Current Pharmaceutical Biotechnology 12, no. 7 (July 1, 2011): 1067–74. http://dx.doi.org/10.2174/138920111795909050.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Wallace, L., T. Buckley, E. Pellizzari, and S. Gordon. "Breath measurements as volatile organic compound biomarkers." Environmental Health Perspectives 104, suppl 5 (October 1996): 861–69. http://dx.doi.org/10.1289/ehp.96104s5861.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Malheiro, Ricardo, Paula Guedes de Pinho, Sandra Soares, António César da Silva Ferreira, and Paula Baptista. "Volatile biomarkers for wild mushrooms species discrimination." Food Research International 54, no. 1 (November 2013): 186–94. http://dx.doi.org/10.1016/j.foodres.2013.06.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Mason, Howard J., Alison J. Stevenson, and Gordon M. Bell. "Biomarkers in Occupational Volatile Organic Chemical Exposure." Renal Failure 21, no. 3-4 (January 1, 1999): 413–17. http://dx.doi.org/10.3109/08860229909085106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Patel, Mitesh, Dawn Fowler, Jeremy Sizer, and Christopher Walton. "Faecal volatile biomarkers of Clostridium difficile infection." PLOS ONE 14, no. 4 (April 15, 2019): e0215256. http://dx.doi.org/10.1371/journal.pone.0215256.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Darwiche, Kaid, Joerg Ingo Baumbach, Urte Sommerwerck, Helmut Teschler, and Lutz Freitag. "Bronchoscopically Obtained Volatile Biomarkers in Lung Cancer." Lung 189, no. 6 (October 4, 2011): 445–52. http://dx.doi.org/10.1007/s00408-011-9324-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Mochalski, Paweł, Marcis Leja, Daria Ślefarska-Wolak, Linda Mezmale, Veronika Patsko, Clemens Ager, Agnieszka Królicka, Chris A. Mayhew, Gidi Shani, and Hossam Haick. "Identification of Key Volatile Organic Compounds Released by Gastric Tissues as Potential Non-Invasive Biomarkers for Gastric Cancer." Diagnostics 13, no. 3 (January 17, 2023): 335. http://dx.doi.org/10.3390/diagnostics13030335.

Full text

Abstract:

Background: Volatilomics is a powerful tool capable of providing novel biomarkers for medical diagnosis and therapy monitoring. The objective of this study is to identify potential volatile biomarkers of gastric cancer. Methods: The volatilomic signatures of gastric tissues obtained from two distinct populations were investigated using gas chromatography with mass spectrometric detection. Results: Amongst the volatiles emitted, nineteen showed differences in their headspace concentrations above the normal and cancer tissues in at least one population of patients. Headspace levels of seven compounds (hexanal, nonanal, cyclohexanone, 2-nonanone, pyrrole, pyridine, and phenol) were significantly higher above the cancer tissue, whereas eleven volatiles (ethyl acetate, acetoin, 2,3-butanedione, 3-methyl-1-butanol, 2-pentanone, γ-butyrolactone, DL-limonene, benzaldehyde, 2-methyl-1-propanol, benzonitrile, and 3-methyl-butanal) were higher above the non-cancerous tissue. One compound, isoprene, exhibited contradictory alterations in both cohorts. Five compounds, pyridine, ethyl acetate, acetoin, 2,3-butanedione, and 3-methyl-1-butanol, showed consistent cancer-related changes in both populations. Conclusions: Pyridine is found to be the most promising biomarker candidate for detecting gastric cancer. The difference in the volatilomic signatures can be explained by cancer-related changes in the activity of certain enzymes, or pathways. The results of this study confirm that the chemical fingerprint formed by volatiles in gastric tissue is altered by gastric cancer.

APA, Harvard, Vancouver, ISO, and other styles

17

Ligor, Tomasz, Przemysław Adamczyk, Tomasz Kowalkowski, Ileana Andreea Ratiu, Anna Wenda-Piesik, and Bogusław Buszewski. "Analysis of VOCs in Urine Samples Directed towards of Bladder Cancer Detection." Molecules 27, no. 15 (August 7, 2022): 5023. http://dx.doi.org/10.3390/molecules27155023.

Full text

Abstract:

Bladder cancer is one of most common types of cancer diagnosed in the genitourinary tract. Typical tests are costly and characterized by low sensitivity, which contributes to a growing interest in volatile biomarkers. Head space solid phase microextraction (SPME) was applied for the extraction of volatile organic compounds from urine samples, and gas chromatography time of flight mass spectrometry (GC×GC TOF MS) was used for the separation and detection of urinary volatiles. A cohort of 40 adult patients with bladder cancer and 57 healthy persons was recruited. Different VOC profiles were obtained for urine samples taken from each group. Twelvecompounds were found only in the samples from theBC group.The proposed candidate biomarkers are butyrolactone; 2-methoxyphenol; 3-methoxy-5-methylphenol; 1-(2,6,6-trimethylcyclohexa-1,3-dien-1-yl)-2-buten-1-one; nootkatone and 1-(2,6,6-trimethyl-1-cyclohexenyl)-2-buten-1-one.Since most of the studies published in the field are proving the potential of VOCs detected in urine samples for the screening and discrimination of patients with bladder cancer from healthy, but rarely presenting the identity of proposed biomarkers, our study represents a novel approach.

APA, Harvard, Vancouver, ISO, and other styles

18

Cozzolino, Rosaria, Matteo Stocchero, Rosa Perestrelo, and José S. Câmara. "Comprehensive Evaluation of the Volatomic Fingerprint of Saffron from Campania towards Its Authenticity and Quality." Foods 11, no. 3 (January 27, 2022): 366. http://dx.doi.org/10.3390/foods11030366.

Full text

Abstract:

The volatile profiles of eight saffron samples (seven cultivated and one spontaneous) grown in different geographical districts within the Campania region (southern Italy) were compared. Using headspace solid-phase microextraction coupled to gas chromatography–mass spectrometry (HS-SPME/GC-MS), overall, 80 volatiles were identified in the eight landraces. Among them, safranal and its isomers and other related compounds such as isophorones, which are not only key odorants but also pharmacologically active metabolites, have been detected in all the investigated samples. Principal Component Analysis performed on the volatiles’ compounds revealed that the spontaneous sample turned out to be an outlier. In particular, the volatile organic compounds (VOCs) profile of the spontaneous saffron presented four lilac aldehydes and four lilac alcohol isomers, which, to the authors’ knowledge, have never been identified in the volatile signature of this spice. The multivariate statistical analysis allowed the discrimination of the seven cultivate saffron ecotypes in four well-separated clusters according to variety. Moreover, 20 VOCs, able to differentiate the clusters in terms of single volatile metabolite, were discovered. Altogether, these results could contribute to identifying possible volatile signature metabolites (biomarkers) or patterns that discriminate saffron samples grown in Campania region on a molecular basis, encouraging future biodiversity programs to preserve saffron landraces revealing valuable genetic resources.

APA, Harvard, Vancouver, ISO, and other styles

19

Zhao, Cai, Jinkui Sun, Xilei Pu, Xuewei Shi, Weidong Cheng, and Bin Wang. "Volatile Compounds Analysis and Biomarkers Identification of Four Native Apricot (Prunus armeniaca L.) Cultivars Grown in Xinjiang Region of China." Foods 11, no. 15 (August 1, 2022): 2297. http://dx.doi.org/10.3390/foods11152297.

Full text

Abstract:

Flavor (odor and taste) have a significant role in the consumer’s acceptance, and volatile compounds are responsible for the odor of apricots. In the present work, headspace solid-phase microextraction with gas chromatography coupled to tandem mass spectrometry (HS-SPME-GC-MS/MS) together with multivariate analysis, i.e., partial least square discrimination analysis (PLS-DA), were applied to construct the volatile fingerprints and biomarkers of apricots in Xinjiang, China. As a result, a total of 63 volatile substances were identified in the fruits of four apricot cultivars, seven of which were considered to serve as volatile biomarkers, which are damascenone for Dabaiyou apricots; acetophenone, myrcenol and 7-hexadecenal for Luopuhongdaike apricots; 2,4-dimethyl-cyclohexanol for You apricots; eucalyptol and salicylaldehyde for Xiaobai apricots. Moreover, Xiaobai apricots were richer in soluble sugars, organic acids and total phenolic and total flavonoid content than the other three apricot varieties. This work helps to characterize the volatile profiles and biomarkers of different apricot cultivars while providing theoretical guidance for developing apricot-flavored foods in practical production.

APA, Harvard, Vancouver, ISO, and other styles

20

Wang, Changsong, Peng Li, Ailing Lian, Bo Sun, Xiaoyang Wang, Lei Guo, Chunjie Chi, et al. "Blood volatile compounds as biomarkers for colorectal cancer." Cancer Biology & Therapy 15, no. 2 (November 2013): 200–206. http://dx.doi.org/10.4161/cbt.26723.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Vishinkin, Rotem, Rami Busool, Elias Mansour, Falk Fish, Ali Esmail, Parveen Kumar, Alaa Gharaa, et al. "Profiles of Volatile Biomarkers Detect Tuberculosis from Skin." Advanced Science 8, no. 15 (June 2, 2021): 2100235. http://dx.doi.org/10.1002/advs.202100235.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Bazemore, R. A., Jason Feng, Leland Cseke, and G. K. Podila. "Biomedically important pathogenic fungi detection with volatile biomarkers." Journal of Breath Research 6, no. 1 (January 10, 2012): 016002. http://dx.doi.org/10.1088/1752-7155/6/1/016002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Goerl, Tina, Sabine Kischkel, Annika Sawacki, Patricia Fuchs, Wolfram Miekisch, and Jochen K. Schubert. "Volatile breath biomarkers for patient monitoring during haemodialysis." Journal of Breath Research 7, no. 1 (February 27, 2013): 017116. http://dx.doi.org/10.1088/1752-7155/7/1/017116.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Phillips, Michael, Renee N. Cataneo, Rany Condos, Gerald A. Ring Erickson, Joel Greenberg, Vincent La Bombardi, Muhammad I. Munawar, and Olaf Tietje. "Volatile biomarkers of pulmonary tuberculosis in the breath." Tuberculosis 87, no. 1 (January 2007): 44–52. http://dx.doi.org/10.1016/j.tube.2006.03.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

HANAI, Yosuke, Ken SHIMONO, Koichi MATSUMURA, Anil VACHANI, Steven ALBELDA, Kunio YAMAZAKI, Gary K. BEAUCHAMP, and Hiroaki OKA. "Urinary Volatile Compounds as Biomarkers for Lung Cancer." Bioscience, Biotechnology, and Biochemistry 76, no. 4 (April 23, 2012): 679–84. http://dx.doi.org/10.1271/bbb.110760.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Baker, J., P. Aggarwal, E. Chapman, and C. Probert. "Chronic pancreatitis biomarkers from urinary volatile organic compounds." Pancreatology 20 (November 2020): S91. http://dx.doi.org/10.1016/j.pan.2020.07.150.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Fijten, R., A. Smolinska, A. Boots, J. Dallinga, and F. J. van Schooten. "Volatile biomarkers of cisplatin-induced toxicity in vitro." Toxicology Letters 238, no. 2 (October 2015): S233. http://dx.doi.org/10.1016/j.toxlet.2015.08.687.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Cao, Wenhao, Stephen S. Hecht, Sharon E. Murphy, Haitao Chu, Neal L. Benowitz, Eric C. Donny, Dorothy K. Hatsukami, and Xianghua Luo. "Analysis of Multiple Biomarkers Using Structural Equation Modeling." Tobacco Regulatory Science 6, no. 4 (July 1, 2020): 266–78. http://dx.doi.org/10.18001/trs.6.4.4.

Full text

Abstract:

Objectives: When examining the relationship between smoking intensity and toxicant exposure biomarkers, to understand the potential risk for smoking-related disease, individual biomarkers may not be strongly associated with smoking intensity because of the inherent variability in biomarkers. Structural equation modeling (SEM) offers a powerful solution by modeling the relationship between smoking intensity and multiple biomarkers through a latent variable. Methods: We used baseline data from a randomized trial (N = 1250) to estimate the relationship between smoking intensity and a latent toxicant exposure variable summarizing 5 volatile organic compound biomarkers. We analyzed 2 variables of smoking intensity: the self-report cigarettes smoked per day and total nicotine equivalents in urine. SEM was compared with linear regression with each biomarker analyzed individually or with the sum score of the 5 biomarkers. Results: SEM models showed strong relationships between smoking intensity and the latent toxicant exposure variable, and the relationship was stronger than its counterparts in linear regression with each biomarker analyzed separately or with the sum score. Conclusions: SEM is a powerful multivariate statistical method for studying multiple biomarkers assessing the same class of harmful constituents. This method could be used to evaluate exposure from different combusted tobacco products.

APA, Harvard, Vancouver, ISO, and other styles

29

Dima, Augustin Catalin, Daniel Vasile Balaban, and Alina Dima. "Diagnostic Application of Volatile Organic Compounds as Potential Biomarkers for Detecting Digestive Neoplasia: A Systematic Review." Diagnostics 11, no. 12 (December 9, 2021): 2317. http://dx.doi.org/10.3390/diagnostics11122317.

Full text

Abstract:

Volatile organic compounds (VOCs) are part of the exhaled breath that were proposed as non-invasive breath biomarkers via different human discharge products like saliva, breath, urine, blood, or tissues. Particularly, due to the non-invasive approach, VOCs were considered as potential biomarkers for non-invasive early cancer detection. We herein aimed to review the data over VOCs utility in digestive neoplasia as early diagnosis or monitoring biomarkers. A systematic literature search was done using MEDLINE via PubMed, Cochrane Library, and Thomson Reuters’ Web of Science Core Collection. We identified sixteen articles that were included in the final analysis. Based on the current knowledge, we cannot identify a single VOC as a specific non-invasive biomarker for digestive neoplasia. Several combinations of up to twelve VOCs seem promising for accurately detecting some neoplasia types. A combination of different VOCs breath expression are promising tools for digestive neoplasia screening.

APA, Harvard, Vancouver, ISO, and other styles

30

Furina, R. R., N. N. Mitrakova, V. L. Ryzhkov, and I. K. Safiullin. "Metabolomic research in medicine." Kazan medical journal 95, no. 1 (February 15, 2014): 1–6. http://dx.doi.org/10.17816/kmj1445.

Full text

Abstract:

The paper covers the questions of metabolomic research in medicine. The central idea of metabolomics is to identify the specific biomarkers in biological samples for diagnosis of a number of conditions. The biomarkers include volatile organic compounds - metabolites isolated from various tissues and biological fluids (blood, urine, sputum, exhaled air). Main methods of separation and identification of volatile organic compounds (gas chromatography, mass spectrometry, nuclear magnetic resonance spectroscopy) applied in metabolomics, are reviewed. Mass spectrometry and nuclear magnetic resonance spectroscopy are compared as the main methods of volatile metabolites detection. The method of solid phase microextraction, used for sample preparation, is described. The paper reviews laboratory research results aimed at the detection of cancer, chronic infections and inherited diseases biomarkers. The qualitative characteristics of biological sample metabolome taken from patients with different diseases are discussed. Besides, special attention is paid to the possible use of metabolomics in experimental medicine. The results of volatile metabolome changes in cell culture in vitro depending on the additives to nutrient media, β-carotene volatile decomposition products as suspected carcinogens, volatile organic compounds emitted at vertebrates decay are described. In addition, the method of two-dimensional gas chromatography aimed to increase the sensitivity and specificity of metabolomics tests is portrayed. The presented approach adds to early diagnosis of a number of diseases.

APA, Harvard, Vancouver, ISO, and other styles

31

Kaeslin, Jérôme, Srdjan Micic, Ronja Weber, Simona Müller, Nathan Perkins, Christoph Berger, Renato Zenobi, Tobias Bruderer, and Alexander Moeller. "Differentiation of Cystic Fibrosis-Related Pathogens by Volatile Organic Compound Analysis with Secondary Electrospray Ionization Mass Spectrometry." Metabolites 11, no. 11 (November 11, 2021): 773. http://dx.doi.org/10.3390/metabo11110773.

Full text

Abstract:

Identifying and differentiating bacteria based on their emitted volatile organic compounds (VOCs) opens vast opportunities for rapid diagnostics. Secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS) is an ideal technique for VOC-biomarker discovery because of its speed, sensitivity towards polar molecules and compound characterization possibilities. Here, an in vitro SESI-HRMS workflow to find biomarkers for cystic fibrosis (CF)-related pathogens P. aeruginosa, S. pneumoniae, S. aureus, H. influenzae, E. coli and S. maltophilia is described. From 180 headspace samples, the six pathogens are distinguishable in the first three principal components and predictive analysis with a support vector machine algorithm using leave-one-out cross-validation exhibited perfect accuracy scores for the differentiation between the groups. Additionally, 94 distinctive features were found by recursive feature elimination and further characterized by SESI-MS/MS, which yielded 33 putatively identified biomarkers. In conclusion, the six pathogens can be distinguished in vitro based on their VOC profiles as well as the herein reported putative biomarkers. In the future, these putative biomarkers might be helpful for pathogen detection in vivo based on breath samples from patients with CF.

APA, Harvard, Vancouver, ISO, and other styles

32

Hamow, Kamirán Áron, Zsuzsanna Ambrózy, Katalin Puskás, Imre Majláth, Mónika Cséplő, Réka Mátyus, Katalin Posta, Péter Lukács, and László Sági. "Emission of novel volatile biomarkers for wheat powdery mildew." Science of The Total Environment 781 (August 2021): 146767. http://dx.doi.org/10.1016/j.scitotenv.2021.146767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Phillips, Michael, Nasser Altorki, John H. M. Austin, Robert B. Cameron, Renee N. Cataneo, Joel Greenberg, Robert Kloss, et al. "Prediction of lung cancer using volatile biomarkers in breath1." Cancer Biomarkers 3, no. 2 (April 25, 2007): 95–109. http://dx.doi.org/10.3233/cbm-2007-3204.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Mazzone, Peter J. "Exhaled breath volatile organic compound biomarkers in lung cancer." Journal of Breath Research 6, no. 2 (May 23, 2012): 027106. http://dx.doi.org/10.1088/1752-7155/6/2/027106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Phillips, Michael, Richard Byrnes, Renee N. Cataneo, Anirudh Chaturvedi, Peter D. Kaplan, Mark Libardoni, Vivek Mehta, et al. "Detection of volatile biomarkers of therapeutic radiation in breath." Journal of Breath Research 7, no. 3 (June 24, 2013): 036002. http://dx.doi.org/10.1088/1752-7155/7/3/036002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Danaher, Patrick, Michael Phillips, Peter Schmitt, Stephanie Richard, Gene Millar, Brian White, Jason Okulicz, Christian L. Coles, and Timothy Burgess. "1229. Volatile Biomarkers of Influenza Infection in the Breath." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S634—S635. http://dx.doi.org/10.1093/ofid/ofaa439.1414.

Full text

Abstract:

Abstract Background Annual influenza epidemics cause significant morbidity and mortality. New, emerging strains threaten to cause catastrophic pandemics. Assay of exhaled breath for volatile organic compounds (VOCs) via gas chromatography-mass spectroscopy (GC-MS) is an emerging diagnostic modality ideally suited to fill the gap in influenza diagnostics. Methods Patients with influenza like illness (ILI) presenting to the Troop Medical Clinic on JBSA Fort Sam Houston, TX, from 3/2017 to 3/2019 submitted a 2-minute breath sample in addition to a nasopharyngeal swab collected for polymerase chain reaction (PCR) assay for influenza virus. ILI was defined as temperature > 100.40F AND respiratory symptoms like cough, sputum production, chest pain and/or sore throat. Breath VOCs were assayed with GC-MS and data were analyzed in order to identify the significant breath VOC biomarkers that discriminated between ILI patients with and without a PCR assay positive for influenza with greater than random accuracy. Results Demographic, clinical, PCR and breath data were available for 237 episodes of ILI. PCR was positive for influenza for 32 episodes (30 influenza A and 2 B). The median age of participants was 21 (IQR 19, 23) and 69% were male. There were no differences in age, gender, education, race, or smoking, between the influenza positive and negative groups. Likewise, there was no difference in days of limited activity or missed work, or symptoms at presentation between the groups. The algorithm achieved near maximal predictive accuracy of 78% with four biomarkers (74% sensitivity and 70% specificity). Based on their mass spectra, these biomarker VOCs were tentatively identified as 2-amino-1-propanol, 2-butanamine, n-nitro, 3-methyl-hexanal, and heptane, which are consistent with products of oxidative stress. Figure. Accuracy, Sensitivity, and Specificity of Influenza Breath Test. Receiver operating characteristic (ROC) of the breath test (sensitivity versus 1-specificity). The accuracy of the breath test was 78%. With a cutoff point at the “shoulder” of the ROC curve, the test had 74% sensitivity and 70% specificity. Conclusion Our findings bolster available benchtop and clinical data suggesting that breath testing may be a useful diagnostic modality for influenza infection. The next step will be to study the predictive algorithm developed in this protocol in a blinded validation cohort. If the predictive algorithm performs well in a validation study, adaptation for its use in a portable, tabletop GC would be warranted to allow for a rapid, accurate, universal point-of-care influenza diagnostic test. Disclosures Michael Phillips, MD, Menssana Research, Inc (Grant/Research Support)

APA, Harvard, Vancouver, ISO, and other styles

37

Trivedi, Drupad K., Eleanor Sinclair, Yun Xu, Depanjan Sarkar, Caitlin Walton-Doyle, Camilla Liscio, Phine Banks, et al. "Discovery of Volatile Biomarkers of Parkinson’s Disease from Sebum." ACS Central Science 5, no. 4 (March 20, 2019): 599–606. http://dx.doi.org/10.1021/acscentsci.8b00879.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Sivadier, Guilhem, Jérémy Ratel, and Erwan Engel. "Persistence of pasture feeding volatile biomarkers in lamb fats." Food Chemistry 118, no. 2 (January 2010): 418–25. http://dx.doi.org/10.1016/j.foodchem.2009.02.088.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Phillips, M., N. Altorki, J. H. M. Austin, R. B. Cameron, R. N. Cataneo, J. Greenberg, R. Kloss, et al. "Prediction of lung cancer using volatile biomarkers in breath." Journal of Clinical Oncology 23, no. 16_suppl (June 2005): 9510. http://dx.doi.org/10.1200/jco.2005.23.16_suppl.9510.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Amaro, Filipa, Joana Pinto, Sílvia Rocha, Ana Margarida Araújo, Vera Miranda-Gonçalves, Carmen Jerónimo, Rui Henrique, Maria de Lourdes Bastos, Márcia Carvalho, and Paula Guedes de Pinho. "Volatilomics Reveals Potential Biomarkers for Identification of Renal Cell Carcinoma: An In Vitro Approach." Metabolites 10, no. 5 (April 27, 2020): 174. http://dx.doi.org/10.3390/metabo10050174.

Full text

Abstract:

The identification of noninvasive biomarkers able to detect renal cell carcinoma (RCC) at an early stage remains an unmet clinical need. The recognition that altered metabolism is a core hallmark of cancer boosted metabolomic studies focused in the search for cancer biomarkers. The present work aims to evaluate the performance of the volatile metabolites present in the extracellular medium to discriminate RCC cell lines with distinct histological subtypes (clear cell and papillary) and metastatic potential from non-tumorigenic renal cells. Hence, volatile organic compounds (VOCs) and volatile carbonyl compounds (VCCs) were extracted by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography–mass spectrometry (GC–MS). Multivariate and univariate analysis unveiled a panel of metabolites responsible for the separation between groups, mostly belonging to ketones, alcohols, alkanes and aldehydes classes. Some metabolites were found similarly altered for all RCC cell lines compared to non-tumorigenic cells, namely 2-ethylhexanol, tetradecane, formaldehyde, acetone (increased) and cyclohexanone and acetaldehyde (decreased). Furthermore, significantly altered levels of cyclohexanol, decanal, decane, dodecane and 4-methylbenzaldehyde were observed in all metastatic RCC cell lines when compared with the non-metastatic ones. Moreover, some alterations in the volatile composition were also observed between RCC histological subtypes. Overall, our results demonstrate the potential of volatile profiling for identification of noninvasive candidate biomarkers for early RCC diagnosis.

APA, Harvard, Vancouver, ISO, and other styles

41

Davis, Cristina E., Michael J. Bogan, Shankar Sankaran, Mary A. Molina, Bryan R. Loyola, Weixiang Zhao, W. Henry Benner, et al. "Analysis of Volatile and Non-Volatile Biomarkers in Human Breath Using Differential Mobility Spectrometry (DMS)." IEEE Sensors Journal 10, no. 1 (January 2010): 114–22. http://dx.doi.org/10.1109/jsen.2009.2033562.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Soprani, Zambotti, Gobbi, and Ponzoni. "Application of a Micro-Machined Electronic Nose to Detect Escherichia Coli in Human Urine Samples." Proceedings 14, no. 1 (June 18, 2019): 3. http://dx.doi.org/10.3390/proceedings2019014003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Selvaraj, Ramya, Nilesh J. Vasa, S. M. Shiva Nagendra, and Boris Mizaikoff. "Advances in Mid-Infrared Spectroscopy-Based Sensing Techniques for Exhaled Breath Diagnostics." Molecules 25, no. 9 (May 9, 2020): 2227. http://dx.doi.org/10.3390/molecules25092227.

Full text

Abstract:

Human exhaled breath consists of more than 3000 volatile organic compounds, many of which are relevant biomarkers for various diseases. Although gas chromatography has been the gold standard for volatile organic compound (VOC) detection in exhaled breath, recent developments in mid-infrared (MIR) laser spectroscopy have led to the promise of compact point-of-care (POC) optical instruments enabling even single breath diagnostics. In this review, we discuss the evolution of MIR sensing technologies with a special focus on photoacoustic spectroscopy, and its application in exhaled breath biomarker detection. While mid-infrared point-of-care instrumentation promises high sensitivity and inherent molecular selectivity, the lack of standardization of the various techniques has to be overcome for translating these techniques into more widespread real-time clinical use.

APA, Harvard, Vancouver, ISO, and other styles

44

Tománková, J., J. Bořilová, I. Steinhauserová, and L. Gallas. " Volatile organic compounds as biomarkers of the freshness of poultry meat packaged in a modified atmosphere." Czech Journal of Food Sciences 30, No. 5 (July 25, 2012): 395–403. http://dx.doi.org/10.17221/408/2011-cjfs.

Full text

Abstract:

The volatile organic compounds (VOCs) in the packing of chicken meat in a modified atmosphere was qualitatively and quantitatively evaluated. The total number of 72 samples of chicken hindquarters were stored under two different modified atmospheres (70% O<sub>2</sub>, 30% CO<sub>2</sub>, and 70% argon, 30% CO<sub>2</sub>) for 20 days. Analyses were performed on Days 0, 4, 8, 12, 16, and 20. VOCs in the headspace samples were detected and quantified by gas chromatography/mass spectrometry (GC/MS) every fourth day of storage. Pentamethylheptane, dimethylsulphide, dimethyl disulphide, dimethyl trisulphide, dimethyl tetrasulphide, hydrogen sulphide and ammonia were detected. Pentamethylheptane and ammonia had similar values for both modified atmospheres (MA). The other compounds were found only in argon MA from the Day 16 of storage with a subsequent increase of values. The measured values for dimethylsulphide were 10.7 and 13.8 mg/l, for dimethyl disulphide they were 1.9 and 10.7 mg/l, dimethyl trisulphide levels were 15.7 and 19.3 mg/l and dimethyl tetrasulphide levels were 93.2 and 418.3 mg/l for Day 16 and 20. The hydrogen sulphide level was detected from 80 to 370 mg/l after the 8<sup>th</sup> day of storage. We showed that the argon MA is less suitable for packaging raw chicken parts than the oxygen MA in view of the increased amount of microflora and unpleasant odour as assessed by sensory analysis. Oxygen prolonged the shelf life by about four days in comparison with argon. Sensory evaluation was similar for both atmospheres after air exhaustion. The argon MA did not extend the shelf life as compared to the oxygen MA.  

APA, Harvard, Vancouver, ISO, and other styles

45

Lawal, Oluwasola, Hugo Knobel, Hans Weda, Lieuwe D. Bos, Tamara M. E. Nijsen, Royston Goodacre, and Stephen J. Fowler. "Volatile organic compound signature from co-culture of lung epithelial cell line with Pseudomonas aeruginosa." Analyst 143, no. 13 (2018): 3148–55. http://dx.doi.org/10.1039/c8an00759d.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Xueqin, Yanyan Wu, Huanhuan Zhu, Hongyan Zhang, Juan Xu, Qiang Fu, Manzhu Bao, and Jie Zhang. "Headspace Volatiles and Endogenous Extracts of Prunus mume Cultivars with Different Aroma Types." Molecules 26, no. 23 (November 30, 2021): 7256. http://dx.doi.org/10.3390/molecules26237256.

Full text

Abstract:

Prunus mume is a traditional ornamental plant, which owed a unique floral scent. However, the diversity of the floral scent in P. mume cultivars with different aroma types was not identified. In this study, the floral scent of eight P. mume cultivars was studied using headspace solid-phase microextraction (HS-SPME) and organic solvent extraction (OSE), combined with gas chromatography-mass spectrometry (GC-MS). In total, 66 headspace volatiles and 74 endogenous extracts were putatively identified, of which phenylpropanoids/benzenoids were the main volatile organic compounds categories. As a result of GC-MS analysis, benzyl acetate (1.55–61.26%), eugenol (0.87–6.03%), benzaldehyde (5.34–46.46%), benzyl alcohol (5.13–57.13%), chavicol (0–5.46%), and cinnamyl alcohol (0–6.49%) were considered to be the main components in most varieties. However, the volatilization rate of these main components was different. Based on the variable importance in projection (VIP) values in the orthogonal partial least-squares discriminate analysis (OPLS-DA), differential components of four aroma types were identified as biomarkers, and 10 volatile and 12 endogenous biomarkers were screened out, respectively. The odor activity value (OAV) revealed that several biomarkers, including (Z)-2-hexen-1-ol, pentyl acetate, (E)-cinnamaldehyde, methyl salicylate, cinnamyl alcohol, and benzoyl cyanide, contributed greatly to the strong-scented, fresh-scented, sweet-scented, and light-scented types of P. mume cultivars. This study provided a theoretical basis for the floral scent evaluation and breeding of P. mume cultivars.

APA, Harvard, Vancouver, ISO, and other styles

47

Phillips, Michael, Renee N. Cataneo, Christobel Saunders, Peter Hope, Peter Schmitt, and James Wai. "Volatile biomarkers in the breath of women with breast cancer." Journal of Breath Research 4, no. 2 (March 2, 2010): 026003. http://dx.doi.org/10.1088/1752-7155/4/2/026003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Sivadier, Guilhem, Jérémy Ratel, and Erwan Engel. "Latency and Persistence of Diet Volatile Biomarkers in Lamb Fats." Journal of Agricultural and Food Chemistry 57, no. 2 (January 28, 2009): 645–52. http://dx.doi.org/10.1021/jf802467q.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Tripathi, K. M., A. Sachan, M. Castro, V. Choudhary, S. K. Sonkar, and J. F. Feller. "Green carbon nanostructured quantum resistive sensors to detect volatile biomarkers." Sustainable Materials and Technologies 16 (July 2018): 1–11. http://dx.doi.org/10.1016/j.susmat.2018.01.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Phillips, Michael, Renee N. Cataneo, Beth Ann Ditkoff, Peter Fisher, Joel Greenberg, Ratnasiri Gunawardena, C. Stephan Kwon, Olaf Tietje, and Cynthia Wong. "Prediction of breast cancer using volatile biomarkers in the breath." Breast Cancer Research and Treatment 99, no. 1 (February 24, 2006): 19–21. http://dx.doi.org/10.1007/s10549-006-9176-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!