Breath Levels Research Articles

MOF nanoflowers-based flexible portable NO sensors for human airway inflammation detection

The concentration of nitric oxide (NO) in exhaled breath is linked to respiratory diseases, requiring precise detection. Traditional two-dimensional (2D) carbon-based materials used in chemiresistive gas sensors suffer from high detection limits due to a lack of functional sites, while metal oxide sensors are limited by poor selectivity and high operating temperatures, restricting their development. Recently, metal–organic frameworks (MOFs) have emerged as an effective material for NO monitoring due to their superior selectivity; however, their inherent insulating properties hinder practical use. In this study, we synthesized Ni, Co-MOF-74-Carbon Nanotube (CNT) heterostructured nanoflowers, leveraging their bimetallic active sites and large specific surface area to enhance NO adsorption. This composite material, integrated with breathable nanofibrous membranes through physical deposition, exhibits high selection to NO, achieving a linear response range of 30 to 1000 ppb at room temperature and a limit of detection (LOD) of 18.6 ppb. This sensor can accurately detect NO levels in the exhaled breath of both healthy and diseased individuals, confirming its potential for respiratory disease diagnosis. Additionally, we developed a portable device integrating the Ni, Co-MOF-74-CNT- polyacrylonitrile (PAN) membrane, a microcontroller unit (MCU), and a Bluetooth module for real-time NO detection. The systematic design and successful validation of this portable gas sensor pave the way for future home-based real-time monitoring of airway inflammation.

Long-lifespan, biodegradable, self-disinfecting, and gas-sensing electronic mask with a Janus-structured all-natural fiber network for personal healthcare

Conventional disposable surgical masks have become an integral part of our daily lives, however, present a limited filtration efficiency, brief operative lifespan, and inability to degrade naturally, bringing a heavy burden to the environment. Moreover, these masks cannot efficaciously eliminate bacteria, potentially causing secondary and cross infections among users, thereby failing to curb the spread of infectious diseases. Herein, a fire-new, long-lifespan, biodegradable, self-disinfecting, and gas-sensing electronic-mask is nano-engineered with a Janus-structured all-natural fiber network (SA-CPN) constructed from animal-collagen and plant-fibers. SA-CPN demonstrates exceptional filtration performance (99.9%) for PM2.5 and maintains outstanding filtration efficiency after 10 test-cycles or 32 h in high-humidity conditions. SA-CPN exhibits robust antibacterial origins for extended periods, with antibacterial rates of 98.30%, 99.36%, and 98.11% against P aeruginosa, S aureus, and E coli, respectively, and can effectively filter airborne bacterial aerosols. Moreover, SA-CPN achieves real-time detection of ammonia concentrations, effectively identifying ammonia levels in exhaled human breath and external environments, and monitoring the human respiratory rate, potentially identifying underlying health conditions. The directional water vapor transmission capability of SA-CPN improves comfort when wearing. Notably, SA-CPN can fully biodegrade within 5 h under enzyme action. The proposed multifunctional electronic mask, featuring biocompatibility, biodegradability, self-disinfection, and ammonia sensing capabilities, holds significant promise in personal medical protective equipment for health monitoring and disease prevention.

Low Pressure Heliox-based Rebreather System to Reduce Work of Breathing and Conserve Gas.

Background: To test the ability of a low-pressure, low-flow, Heliox-based rebreathing system to reduce work of breathing and conserve gas while preserving CO2 concentration, temperature, and humidity at physiological levels in a bench study.Methods: We performed a bench study of a novel low-pressure, low-flow, noninvasive Heliox rebreathing system with CO2 scrubber that was connected to an artificial lung simulator with careful monitoring of flow, pressure, work of breathing, oxygen (O2), carbon-dioxide (CO2), temperature, and humidity levels. Multiple runs of breathing were performed while manipulating levels of resistance (5 - 30 cm H2O/L/sec), gas mixtures (room air, 79% Helium 21% O2, and 70% Helium and 30% O2), and leak levels (ultra-low, low, and high).Results: We found significant reductions in work of breathing (up to 64%) while conserving gas with estimates of up to 54-fold reduction in medical gas wastage (P<0.001). Specifically, at resistances of 5, 10, 20, and 30 cm H2O/L/sec we demonstrated 64%, 57%, 36%, and 7% reduction in work of breathing (P<0.0001). Gas wastage was reduced by 10- to 54-fold while the end-tidal CO2 concentration, humidity, and temperature were maintained by the device at physiological levels.Conclusions: In a bench-test, a low-pressure, low-flow, noninvasive Heliox rebreathing system with CO2 scrubber reduced work of breathing and conserved gas while preserving CO2 concentration, temperature, and humidity at physiological levels. Future studies in human subjects need to be performed to determine whether reduction of work of breathing and gas conservation can be achieved.

Gas Phase Aldehydes Detection in Exhaled Breath in Screening of Barrett's Esophagus

Aldehydes, e.g., acetaldehyde, have been classified as toxic and carcinogenic volatile organic compounds (VOCs) and are recognized as one determinant of upper aerodigestive tract cancer like Barrett's esophagus. Measuring aldehyde levels in breath provides information about the aldehydes released by abnormal cells, the level of aldehyde dehydrogenase (ALDH2) activity, and risks and diseases associated with high levels of acetaldehyde, which include liver disease and lung and upper digestive cancers. Devices currently available for breath analysis are state-of-the-art, high-resolution mass spectrometry instruments. These instruments have some drawbacks such as size, initial cost, and operational expense. Electrochemical sensors are capable of miniaturization and are available as portable and handheld breathalyzers. The non-invasive nature of breath analysis and its easy sampling makes smaller devices a more attractive alternative, particularly for continuous monitoring and point-of-care (POC) testing.1 However, the lack of an exchangeable/disposable sensing element, the resulting memory effect, and the need for frequent recalibration is the main drawback of currently available electrochemical breathalyzers.Herein we examine the feasibility of a POC testing device for aldehyde in exhaled breath to assess the medical application of such a device in noninvasive diagnostic testing for Barrett’s esophagus. To improve the selectivity of the method we harness the unique catalytic activity of the aminoxyl radical/oxoammonium redox couple toward aldehyde oxidation. The highly selective/sensitive device offers the capability for use in the detection of Barrett's esophagus, ideally at early stages, without the need for a high-cost screening test. Our functional sensing element consists of a screen-printed electrode (SPE) in which the graphene oxide-based is the working electrode. Exposing this electrode to simulated breath that contains aldehyde, while applying the required potential for oxidation of the aminoxyl radical (4-acetamido-TEMPO known as ACT), generates an electrocatalytic current proportional to the aldehyde concentration in the breath. These simple, sensitive, durable, and inexpensive electrodes may contribute to the development of a single-use reliable aldehyde sensor for personal or law enforcement applications.1. M. Mayer, M. Rafiee, Electrocatalytic Detection of Ethanol and Acetaldehyde by Aminoxyl Radicals: Utilizing Molecular Catalysis for Breath Analysis. Analyst 147, 2022, 3420 – 3423.

Determinants of COVID-19 severity and mortality in children: A retrospective and multicenter cohort study in Medan, Indonesia.

This study investigated indicators of the severity and mortality of COVID-19 in children in Medan, Sumatera Utara Province, Indonesia. The aim of this study was to identify determinants of severity and outcome of children with COVID-19 as the lesson learned from the COVID-19 pandemic, particularly the limited health facilities in Indonesia. This retrospective cohort study was conducted in 2020, 2021, and 2022 at multiple centers. Inpatient and outpatient children confirmed to be SARS-CoV-2 positive were randomly recruited in the selected hospitals. Baseline data (demographic, clinical, laboratory and radiological data) were collected, and outcomes were classified as recovered/deceased (for the inpatient group) or returned to the hospital (for the outpatient group). Severity status was identified based on the Indonesia COVID-19 guidelines. The laboratory data were categorized according to international standards and data were analyzed using univariate analyzes followed by multivariate logistic regression. A total of 303 inpatient and 114 outpatient children were included in the analysis. Out of the total inpatient cases, nine patients died, with 2.9 mortality rate. Our final multivariate indicated that the presence of shortness of breath (SOB), anemia, and abnormal C-reactive protein (CRP) levels were significantly associated with the severity or the presence of emergency signs, while the presence of SOB and comorbidities were significantly associated with mortality in inpatient children with COVID-19. The presence of fever, cough, SOB, muscle ache and diarrhea were the reasons why the children were returned to the hospital from self-isolation at home among outpatient COVID-19 cases; however, the cough was the only significant factor in the final multivariate mode. This study highlights important determinants of COVID-19 severity and mortality in children, which should be considered during clinical decision-making in low-resource settings of healthcare centers in Indonesia.

AZITHROMYCIN-INDUCED HYPERSENSITIVITY AND COVID-19: A CASE REPORT

An adverse drug reaction is called drug hypersensitivity syndrome. However, experts regard macrolide allergies to be infrequent. Moreover, this group of antibiotics is considered relatively safe. Although azithromycin is prescribed in COVID-19 patients due to the positive observed effects, hypersensitivity syndrome from this agent has rarely been reported. The case study discusses a 30-year-old man, who was diagnosed with coronavirus disease 2019 and exhibited fever (39.1°C), diffuse maculopapular rash, shortness of breath, wheezing, swelling, itching, pain, subconjunctival hemorrhage, eosinophilia (8.9% of 10.2×103/μL leukocytes), and elevated aminotransferase level following treatment with azithromycin. The Naranjo algorithm classified this case in the “definite” category. Therefore, due to the high prevalence of COVID-19 and increased administration of azithromycin, physicians should be made aware of the potential for unusual toxicity associated with azithromycin, which may become more prevalent as its use continues to expand in the future.

마스크 착용에 따른 흡연자의 주관적 구취 수준과 구강건강행태 현황

Objectives: This study aimed to examine the subjective changes in odor perception, oral health interest, and related behaviors among smokers before and after the widespread adoption of mask wearing. Methods: We analyzed a total of 207 responses from smokers aged 19 and older and conducted statistical analyses that included t-tests and chi-square tests. Results: The subjective perception of bad breath among smokers increased when the wearing of masks became a daily routine. In addition, smokers with an extended history of smoking reported higher subjective levels of bad breath and lower oral health compared to those with a shorter duration of smoking. Conclusions: Evidence-based educational and promotional materials should be developed to mitigate or prevent the levels of odor and oral dryness experienced by smokers before and after the regular use of masks.

Protocol for neonatal pain assessment and management: Application of the ALPS Neo scale in routine care

Background and objectives. Neonatal pain research has advanced, disproving earlier beliefs that neonates cannot feel pain due to immature nervous systems. Incomplete myelination slows but does not prevent pain conduction. Pain responses start around 7.5 weeks post-conception, with pain receptors throughout the body by 20 weeks. Pain pathways are established by 22 weeks, but full modulation develops by 32 weeks, making preterm infants more sensitive. Nociceptors detect pain through A-delta (sharp pain) and C-fibers (dull pain). Tissue damage releases chemicals that lower the pain threshold. Pain is classified as nociceptive, somatic, or visceral and can be acute or chronic. Early pain exposure affects later responses. Validated pain scales for neonates include COVERS, PIPP, NIPS, NFCS, and ALPS Neo. Current practice emphasizes preventing and treating pain to minimize stress. Materials and methods. This study at Life Memorial Hospital will analyze patients over 1 month and over 6 months, with ethical approval obtained beforehand. Inclusion criteria: neonates with a gestational age over 35 weeks, birth weight over 2000 grams, needing routine care. Exclusion criteria: neonates needing respiratory support/sedation or with abnormal neurological exams. We will use the ALPS Neo pain assessment scale for its reliability and ease of integration into daily care, aiming to reduce pain or stress duration. Patients will be scored on facial expression, breathing, extremity tone, hand/foot activity, and activity level. Scores of 3-5 will prompt non-pharmacological interventions. Scores above 5 will require frequent reassessments and possible pharmacological intervention. The medical team will be trained on the ALPS Neo scale and non-pharmacological pain reduction methods. Pain from procedures like vaccinations will be assessed during the first two days of life. Initially, control patients will be evaluated without interventions. Over the next 6 months, patients will receive non-pharmacological interventions, including non-nutritive sucking, sucrose, Kangaroo Mother Care, swaddling, and maternal milk or formula. Our group aims to establish an evidence-based protocol for pain assessment and management and to use it in prospective research in which the objectives would be to use a pain scale for more accurate pain data from procedures, identify and reduce the most painful procedures, evaluate and improve the effectiveness of pain management strategies. Conclusions. This observational study at Life Memorial Hospital will use the ALPS Neo pain assessment scale to improve neonatal pain management within the Kangaroo Mother Care program. By comparing a 1-month control group with a 6-month group, we aim to identify and reduce procedural pain. The ALPS Neo scale will enable precise pain assessment and targeted non-pharmacological interventions, potentially guiding future pain management strategies. The choice of ALPS Neo, which is familiar to our team, will ease training and implementation. Success may lead to exploring scales with objective measures, though ALPS Neo will initially drive our improvements in pain management.

Oxygen vacancy-mediated metal-organic gel-derived α-Fe2O3 for anomalous acetone sensing behavior

The development of acetone gas sensors with high sensitivity, low detection limits and scalability holds significant importance for industrial production safety and disease diagnosis. Herein, oxygen vacancies-enriched α-Fe2O3 nanoparticles (M-Fe2O3 NPs) were synthesized through a novel metal-organic gel template strategy. Gas sensing experiments revealed that the prepared M-Fe2O3 sensor displayed unique p-type semiconductor behavior, distinct from the n-type commercial α-Fe2O3 (C-Fe2O3) sensor. Moreover, the sensor demonstrated excellent acetone sensing performance, including high response (2.6 @ 20 ppm), low detection limit (0.5 ppm), remarkable repeatability and selectivity, even under 80% relative humidity (RH), displaying impressive response and recovery properties. The enhanced p-type sensing properties of the M-Fe2O3 sensor were attributed to oxygen vacancies facilitating inversion (hole) layer formation and accelerating chemical reactions on the sensing materials surface, as evidenced by gas sensing performance data and O2-TPD characterization. Finally, the feasibility of preliminary diabetes diagnosis was demonstrated by detecting acetone levels in human exhaled breath. This work not only presents a straightforward approach for designing oxygen vacancies-enriched metal oxides but also has potential applications in constructing high-performance acetone sensing systems for diabetes diagnosis.

Dispersion and migration characteristics of multisource respirable dust in development panels during tunnelling processes

Underground miners in Australia are facing continued threats from dust-related diseases. To address these issues, improved knowledge of airflow migration patterns and respirable dust dispersion characteristics within a continuous-miner-driven heading under an exhausting ventilation system is required. Based on site-specific conditions of a development heading in New South Wales, a three-dimensional computational fluid dynamics (CFD) model was constructed and validated with onsite dust monitoring data, where a good agreement was achieved. Three scenarios of coal cutting at the middle, floor and roof positions were considered and simulated, with dust generated at four different sources. The simulation results indicated that the operators on the left-hand-side (LHS) with the extraction duct should be equipped with fit-for-purpose personal protective equipment and stay behind the ventilation duct inlet during coal cutting process, while miners standing at the right-hand-side (RHS) of the continuous miner for roof and rib bolting and machine operating should stay immediately behind the roof and rib bolting rig where dust concentration is relatively low. In addition, an increase in airflow rate through the exhausting ventilation duct or a reduction in the distance from the duct inlet to the heading face assisted in reducing dust levels within the heading, particularly at the LHS of the continuous miners. Finally, compared to the scenario of the current ventilation scheme, an on-board exhausting ventilation system could improve dust removal performance, with dust concentration at the breathing level reducing by approximately 43.6%. This modelling study can advance the understanding of multi-source dust diffusion characteristics in the heading face and provide guidance on dust mitigation, thus improving the health and safety of miners and creating a cleaner underground working environment.

Effect of Chronic Ethanol Consumption on Exogenous Glucose Metabolism in Rats Using [1-13C], [2-13C], and [3-13C]glucose Breath Tests.

The C3 carbon of glucose molecules becomes the C1 carbon of pyruvate molecules during glycolysis, and the C1 and C2 carbons of glucose molecules are metabolized in the tricarboxylic acid (TCA) cycle. Utilizing this position-dependent metabolism of C atoms in glucose molecules, [1-13C], [2-13C], and [3-13C]glucose breath tests are used to evaluate glucose metabolism. However, the effects of chronic ethanol consumption remain incompletely understood. Therefore, we evaluated glucose metabolism in ethanol-fed rats using [1-13C], [2-13C], and [3-13C]glucose breath tests. Ethanol-fed (ERs) and control rats (CRs) (n = 8 each) were used in this study, and ERs were prepared by replacing drinking water with a 16% ethanol solution. We administered 100 mg/kg of [1-13C], [2-13C], or [3-13C]glucose to rats and collected expired air (at 10-min intervals for 180 min). We compared the 13CO2 levels (Δ13CO2, ‰) of breath measured by IR isotope ratio spectrometry and area under the curve (AUC) values of the 13CO2 levels-time curve between ERs and CRs. 13CO2 levels and AUCs after administration of [1-13C]glucose and [2-13C]glucose were lower in ERs than in CRs. Conversely, the AUC for the [3-13C]glucose breath test showed no significant differences between ERs and CRs, although 13CO2 levels during the 110-120 min interval were significantly high in ERs. These findings indicate that chronic ethanol consumption diminishes glucose oxidation without concomitantly reducing glycolysis. Our study demonstrates the utility of 13C-labeled glucose breath tests as noninvasive and repeatable methods for evaluating glucose metabolism in various subjects, including those with alcoholism or diabetes.

Glucose breath test for the detection of small intestine bacterial overgrowth: Impact of diet prior to the test.

Glucose breath test (GBT) is used for the diagnosis of small intestine bacterial overgrowth. A restrictive diet without fibers and/or fermentable food is recommended on the day before the test. The aim of our retrospective study was to evaluate the impact of two different restrictive diets on the results of GBT. A change of the pretest restrictive diet was applied in our lab on September 1, 2020. The recommended diet was a fiber-free diet before this date, and a fiber-free diet plus restriction of all fermentable food afterward. We thus compared the results of GBT performed before (group A) and after (group B) this pretest diet modification. Demographics, reasons to perform GBT, digestive symptoms, and hydrogen and methane baseline values and variations after glucose ingestion were compared between the two groups. 269 patients underwent GBT in group A, and 316 patients in group B. The two groups were comparable in terms of demographics. Methane and hydrogen baseline values were significantly higher in group A (respectively 14 [18] vs. 8 [14] ppm, p < 0.01 and 11 [14] vs. 6 [8] ppm, p < 0.01). The percentage of positive tests was higher in group A for methane (43% vs. 28%, p < 0.05), and for hydrogen (18% vs. 12%, p = 0.03). This retrospective study suggests the importance of the restrictive diet prior to GBT. A strict limitation of fibers and fermentable food decreased hydrogen and methane baseline values, and the prevalence of positive GBT. Thus a strict restrictive diet should be recommended on the day before the test, in order to limit the impact of food on hydrogen and methane breath levels, and possibly improve the diagnosis quality of GBT.

Breathing, postural stability, and psychological health: a study to explore triangular links.

This study aims to test the hypothesis that breathing can be directly linked to postural stability and psychological health. A protocol enabling the simultaneous analysis of breathing, posture, and emotional levels in university students is presented. This aims to verify the possibility of defining a triangular link and to test the adequacy of various measurement techniques. Twenty-three subjects (9 females and 14 males), aged between 18 and 23years, were recruited. The experiment consisted of four conditions, each lasting 3minutes: Standard quiet standing with open eyes 1), with closed eyes 2), and relaxed quiet standing while attempting deep abdominal breathing with open eyes 3) and with closed eyes 4). These latter two acquisitions were performed after subjects were instructed to maintain a relaxed state. All subjects underwent postural and stability analysis in a motion capture laboratory. The presented protocol enabled the extraction of 4 sets of variables: Stabilometric data, based on the displacement of the center of pressure and acceleration, derived respectively from force plate and wearable sensors. Postural variables: angles of each joint of the body were measured using a stereophotogrammetric system, implementing the Helen Hayes protocol. Breathing compartment: optoelectronic plethysmography allowed the measurement of the percentage of use of each chest compartment. Emotional state was evaluated using both psychometric data and physiological signals. A multivariate analysis was proposed. A holistic protocol was presented and tested. Emotional levels were found to be related to posture and the varied use of breathing compartments. Abdominal breathing proved to be a challenging task for most subjects, especially females, who were unable to control their breathing patterns. In males, the abdominal breathing pattern was associated with increased stability and reduced anxiety. In conclusion, difficulties in performing deep abdominal breathing were associated with elevated anxiety scores and decreased stability. This depicts a circular self-sustaining relationship that may reduce the quality of life, undermine learning, and contribute to muscular co-contraction and the development of musculoskeletal disorders. The presented protocol can be utilized to quantitatively and holistically assess the healthy and/or pathological condition of subjects.

Seasonal analysis of particulate matter and its exposure on urban bikers in Nashik city, India

Introduction: Exposure to Particulate Matter (PM) can cause ill health effects such as coughing, allergies, decreased lung function, chest discomfort and pain. The current study aims to monitor particulate matter concentrations on the highways in Nashik, India and to estimate its exposure to the bikers in the form of Respiratory Deposition Doses (RDDs) with its seasonal variation.&#x0D; Materials and methods: Low-cost air quality monitor was mounted on the bike to measure Particulate Matter (PM1, PM2.5 and PM10) concentrations at breathing level. Extensive mobile monitoring was performed on seven highway stretches passing through city limits at morning and evening peak hours for all the weekdays for three seasons.&#x0D; Results: The PM concentrations differed on each route seasonally as well as at peak hours in morning and evening. The maximum PM1, PM 2.5 and PM10 concentrations monitored were 119.84 μg/m3, 218.85 μg/m3 and 239.25 μg/m3 respectively on Route R3 in Winter morning. The maximum RDDHD exposure on R5 and R3 in Winter mornings was due to PM10. While maximum RDDTB and RDDAL exposure on R5 in Winter morning and evening was due to PM2.5. Also, the seasonal and particle size effect on RDD has been studied which exhibits higher rise in exposure in Winter mornings due to PM2.5.&#x0D; Conclusion: This study reveals that maximum exposure was observed during Winter mornings. The results recommend that seasons have a substantial effect on PM concentrations and their exposure. The minimum exposure was observed in monsoon, followed by summer and the maximum exposure was seen in winters.&#x0D; &#x0D;

Effect of Education on Symptom Management and Control in Cancer Patients Receiving Palliative Care

This study aims to investigate the effect of an educational intervention on cancer patients receiving palliative care and their caregivers concerning symptom management and family needs. This study involved 120 participants-60 cancer patients and their respective caregivers-divided into intervention and control groups. Over a 2-week period, the intervention group received a comprehensive educational program focusing on symptom management, while the control group did not receive any educational intervention. The Edmonton Symptom Assessment System (ESAS) and Palliative Performance Scale (PPS) were used to assess patients' symptoms, their intensity, and performance, while the Family Need Scale (FNS) was utilized to evaluate caregivers' needs. These assessments were conducted at the beginning and end of the study. Primary outcomes focused on symptom assessment using ESAS and PPS, along with evaluating caregivers' needs through FNS. Secondary outcomes involved assessing participant satisfaction with the intervention. At the end of the study, comparing initial and second evaluations, both ESAS and PPS scores significantly increased in the intervention and control groups (p = .003, p = .002, respectively). Additionally, a statistically significant decrease in the severity of symptoms, except for lethargy/hypokinesis, was observed in the intervention group compared to the control group. The FNS scale indicated that family needs satisfaction was higher in the intervention group compared to the control group. The data obtained demonstrated that there was a reduction the pain, fatigue, depression, anxiety, drowsiness, and shortness of breath levels in the intervention group compared to the control group, but there was no significant difference other than these symptoms. The educational intervention positively impacted symptom management and family needs. Optimizing symptom control would greatly benefit palliative care patients and their caregivers.

К ВОПРОСУ МОДЕЛИРОВАНИЯ ЧРЕЗВЫЧАЙНО ОПАСНОГО ВОЗДЕЙСТВИЯ ВЗВЕШЕННЫХ ЧАСТИЦ ОТ АВТОМАГИСТРАЛИ С УЧЕТОМ ИХ ХИМИЧЕСКОГО СОСТАВА

The issues of physical and mathematical modeling of the processes of distribution, accumulation and extremely dangerous impact of suspended particles from highways on the environment and the health of the urban population under adverse meteorological and special transport conditions during peak hours are considered. The results of a critical analysis of modern domestic and foreign physical-analytical approaches are presented, which are recommended to be used for the physical-mathematical description of the specific processes of emission, propagation and accumulation in the stratified atmosphere in the vicinity of a motorway of solid particles of various origins and, consequently, different levels of negative sanitary hygienic impact, estimated by the maximum permissible concentrations at the level of human breathing. The areas of application of the models and recommended measures to reduce extremely dangerous air pollution with suspended particles of various origins on the highway are analyzed. In conclusion, summarizing conclusions are given on the improvement of the physical and mathematical models analyzed in the work, aimed at improving the accuracy of the results by taking into account relevant factors in order to effectively manage urban air quality.

Determination of Ozone Concentration Levels in Urban Environments Using a Laser Spectroscopy System

In urban areas, there has been a recent rise in ground-level ozone. Given its toxicity to both humans and the environment, the investigation of ozone pollution demands attention and should not be overlooked. Therefore, we conducted a study on ozone concentration in three distinct locations within the city of Magurele, Romania. This investigation considered variations in both structure and location during the spring and summer seasons, specifically at a breathing level of 1.5 m above the ground. Our analysis aimed to explore the impact of different locations and meteorological variables on ozone levels. The three measurement points were strategically positioned in diverse settings: within the city, in a forest, and within an industrial area. For these measurements, we used a laser spectroscopy system to determine the system’s sensitivity and selectivity and the influence of humidity in the detection of ozone in ambient air, which is a mixture of trace gases and water vapor. During the March–August campaign, the mean values in the three measuring points were 24.45 ± 16.44 ppb, 11.96 ± 3.80 ppb, and 95.01 ± 37.11 ppb. The peak concentrations of ozone were observed during the summer season. A diurnal analysis revealed that the atmospheric ozone levels were higher in the latter part of the day compared to the earlier part. These measurements suggest that the atmospheric temperature plays a significant role in tropospheric ozone production. Additionally, meteorological variables such as wind speed and direction were found to influence the ozone concentration. Remarkably, despite substantial traffic, the ozone levels remained consistently low throughout the entire period within the forested area. This observation may suggest the remarkable ability of trees to mitigate pollution levels.

BreathFinder: A Method for Non-Invasive Isolation of Respiratory Cycles Utilizing the Thoracic Respiratory Inductance Plethysmography Signal.

The field of automatic respiratory analysis focuses mainly on breath detection on signals such as audio recordings, or nasal flow measurement, which suffer from issues with background noise and other disturbances. Here we introduce a novel algorithm designed to isolate individual respiratory cycles on a thoracic respiratory inductance plethysmography signal using the non-invasive signal of the respiratory inductance plethysmography belts. The algorithm locates breaths using signal processing and statistical methods on the thoracic respiratory inductance plethysmography belt and enables the analysis of sleep data on an individual breath level. The algorithm was evaluated against a cohort of 31 participants, both healthy and diagnosed with obstructive sleep apnea. The dataset consisted of 13 female and 18 male participants between the ages of 20 and 69. The algorithm was evaluated on 7.3 hours of hand-annotated data from the cohort, or 8782 individual breaths in total. The algorithm was specifically evaluated on a dataset containing many sleep-disordered breathing events to confirm that it did not suffer in terms of accuracy when detecting breaths in the presence of sleep-disordered breathing. The algorithm was also evaluated across many participants, and we found that its accuracy was consistent across people. Source code for the algorithm was made public via an open-source Python library. The proposed algorithm achieved an estimated 94% accuracy when detecting breaths in respiratory signals while producing false positives that amount to only 5% of the total number of detections. The accuracy was not affected by the presence of respiratory related events, such as obstructive apneas or snoring. This work presents an automatic respiratory cycle algorithm suitable for use as an analytical tool for research based on individual breaths in sleep recordings that include respiratory inductance plethysmography.

A Novel Acetone Sensor for Body Fluids.

Ketones are well-known biomarkers of fat oxidation produced in the liver as a result of lipolysis. These biomarkers include acetoacetic acid and β-hydroxybutyric acid in the blood/urine and acetone in our breath and skin. Monitoring ketone production in the body is essential for people who use caloric intake deficit to reduce body weight or use ketogenic diets for wellness or therapeutic treatments. Current methods to monitor ketones include urine dipsticks, capillary blood monitors, and breath analyzers. However, these existing methods have certain disadvantages that preclude them from being used more widely. In this work, we introduce a novel acetone sensor device that can detect acetone levels in breath and overcome the drawbacks of existing sensing approaches. The critical element of the device is a robust sensor with the capability to measure acetone using a complementary metal oxide semiconductor (CMOS) chip and convenient data analysis from a red, green, and blue deconvolution imaging approach. The acetone sensor device demonstrated sensitivity of detection in the micromolar-concentration range, selectivity for detection of acetone in breath, and a lifetime stability of at least one month. The sensor device utility was probed with real tests on breath samples using an established blood ketone reference method.

A case of hepatosplenic sarcoidosis accompanied by hypercalcemia.

We present a case diagnosed with hepatosplenic sarcoidosis with hypercalcemia. Elevated liver enzymes and hypercalcemia were detected in the patient who was admitted to the hospital with abdominal pain and dyspnea. Abdominal dynamic magnetic resonance imaging (MRI) showed diffuse, multiple, nodular hyperintense lesions on T2 weighted. Multinuclear giant cells and lymphocytic portal inflammation were seen in the patient's liver biopsy, whose angiotensin-converting enzyme level was high, and hepatosplenic sarcoidosis was diagnosed. Shortness of breath, abdominal pain, and calcium level improved with methylprednisolone treatment.