M.A. Barrientos-Blanco, U. Arshad, S. Giannoukos, M.Z. Islam, C. Kunz, R. Peng, S.E. Räisänen, R. Zenobi, M. Niu

Separating Breath from Eructation: Advancing SESI-Based Breathomics in Dairy Cows
This study establishes a validated sampling method to distinguish true breath (BR) from ruminal eructation (RE) in dairy cows—an essential step for applying breathomics in ruminant metabolic research. Using a CH₄-based threshold and the GreenFeed system, researchers collected BR and RE samples from Holstein cows and analyzed them via SESI-HRMS and GC. CH₄ levels were 80% lower in BR, confirming successful separation. SESI-MS detected hundreds of VOC features, with distinct profiles between BR and RE. RE was enriched in VFAs like acetate and butyrate, while BR showed unique endogenous signals. This approach unlocks non-invasive, real-time breath metabolomics for metabolic phenotyping in ruminants, overcoming a long-standing barrier in the field.

J. Zeng, N. Stankovic, K. D. Singh, R. Steiner, U. Frey, T. Erb, P. Sinues

Breath Pharmacometabolomics of Propofol Anesthesia in Children
This pilot study demonstrates that on-site SESI-HRMS breath analysis can robustly track propofol and its metabolites in pediatric patients, with exhaled signals showing strong correlation to serum concentrations (R² ≥ 0.65). Beyond pharmacokinetics, SESI revealed surgery-induced metabolic responses, including elevated fatty aldehydes—markers of oxidative stress and lipid peroxidation. Conducted in children undergoing IV anesthesia, this work highlights real-time, non-invasive breath profiling as a promising tool for individualized anesthetic monitoring and metabolic assessment during surgery.

R. Bourgeois, K. Rohrbach, Y. Baumann, N. Perkins, E. Seidl, S. Micic, A. Moeller

Remote Breath Profiling of Preschool Asthma Using SESI-HRMS
This pioneering study demonstrates that SESI-HRMS combined with offline Nalophan-based breath collection can detect asthma-specific VOC markers in preschool children (ages 3–6). Out of 375 previously identified asthma-specific m/z features, 125 were re-detected, with 16 showing statistically significant differences between symptomatic patients and healthy controls. Several markers mapped to known metabolic pathways, and classification performance (AUC 0.77) confirms diagnostic potential. This is the first validation of SESI-based asthma diagnostics in young children using a remote, non-invasive method—a promising step toward early, accurate respiratory disease detection.

M. Z. Islam, S. E. Räisänen, A. Schudel, K. Wang, T. He, C. Kunz, Y. Li, X. Ma, A. M. Serviento, Z. Zeng, F. Wahl, R. Zenobi, S. Giannoukos, and M. Niu.

Previously, we used secondary electrospray ionization-mass spectrometry (SESI-MS) to investigate the diurnal patterns and signal intensities of exhaled (EX) volatile fatty acids (VFA) of dairy cows. The current study aimed to validate the potential of an exhalomics approach for evaluating rumen fermentation. The experiment was conducted in a switchback design, with 3 periods of 9 d each, including 7 d for adaptation and 2 d for sampling. Four rumen-cannulated original Swiss Brown (Braunvieh) cows were randomly assigned to 1 of 2 diet sequences (ABA or BAB): (A) low starch (LS; 6.31% starch on a dry matter basis) and (B) high starch (HS; 16.2% starch on a dry matter basis). Feeding was once per day at 0830 h. Exhalome (with the GreenFeed System), and rumen samples were collected 8 times to represent every 3 h of a day, and EX-VFA and ruminal (RM)-VFA were analyzed using SESI-MS and HPLC, respectively. Furthermore, the VFA concentration in the gas phase (HR-VFA) was predicted based on RMVFA and Henry’s Law (HR) constants….

Rosa A Sola-Martínez, Jiafa Zeng, Mo Awchi, Amanda Gisler, Kim Arnold, Kapil Dev Singh, Urs Frey, Manuel Cánovas Díaz, Teresa de Diego Puente, Pablo Sinues

Secondary electrospray ionization-high resolution mass spectrometry (SESI-HRMS) is an established technique in the field of breath analysis characterized by its short analysis time, as well as high levels of sensitivity and selectivity. Traditionally, SESI-HRMS has been used for real-time breath analysis, which requires subjects to be at the location of the analytical platform. Therefore, it limits the possibilities for an introduction of this methodology in day-to-day clinical practice. However, recent methodological developments have shown feasibility on the remote sampling of exhaled breath in Nalophan® bags prior to measurement using SESI-HRMS…

Mo Awchi, Kapil Dev Singh, Patricia E Dill, Urs Frey, Alexandre N Datta, and Pablo Sinues.

Therapeutic drug monitoring (TDM) of medications with a narrow therapeutic window is a common clinical practice to minimize toxic effects and maximize clinical outcomes. Routine analyses rely on the quantification of systemic blood concentrations of drugs. Alternative matrices such as exhaled breath are appealing because of their inherent non-invasive nature. This is especially the case for pediatric patients. We have recently

Cedric Wüthrich, Stamatios Giannoukos

The mass spectrometer used in this study was an Orbitrap Q-Exactive Plus (Thermo Scientific) operated with the manufacturer’s standard control software (ExactiveTune, version 2.9, Thermo Scientific) and Xcalibur (version 4.1. 31.9, Thermo Scientific). Mass calibration was done according to the instrument manual and was always more recent than seven days according to specifications.

Nora Kristina Nowak

Most physiological processes in humans are synchronized with their environment by socalled circadian clocks. These molecular time-keeping machineries are present in almost every cell. While light is the most important external stimulus to reset the circadian clocks, they can also be entrained by other stimuli, such as feeding or rest/activity cycles. Sleep is both, one of the major outputs of circadian clocks and also an independently regulated recuperative neurobiological process.

Martin Thomas Gaugg

Respiratory diseases are among the leading causes of death worldwide and pose a great financial burden on the health care system. During the last decades the medical community has started to recognize that a patient’s individual set of genes, along with environmental factors, are immensely important for the diagnosis and treatment of diseases. This has led to a strong drive towards further developments in personalized and evidencebased medicine. Understanding the underlying metabolic fundamentals of diseases is crucial to provide the appropriate patient care.One of the fastest methods to obtain new insights in this regard is to analyze metabolites in exhaled breath, which offers a non-invasive window into human metabolism, and which can be monitored in real time.

Lukas Christian Meier

It has been known for years that breath analysis has the potential of becoming a powerful tool to acquire information on the health status of individuals. Using mass spectrometry (MS) for breath analysis would allow for the detection of hundreds of compounds simultaneously and even render real time (online) monitoring of the individual’s health status possible. Unfortunately, the efficient transfer of breath into mass spectrometers is difficult to achieve. Therefore, only very volatile organic compounds (VOCs) being present in breath at high concentrations have been measured so far. The work presented in this thesis intends to extend the range of compounds being detected in breath towards higher masses, less volatile and less concentrated compounds…