Portable Monitoring System Research Articles

DNA adsorption monitoring with interdigital open-gate junction field effect transistor for DNA storage applications: MD modeling, design, and experimental results

This paper introduces a novel portable sensing platform designed to explore the intricate interaction between DNA molecules and silicon dioxide (SiO2) coated on a field effect transistor (FET), bearing profound implications for a spectrum of life science applications, particularly DNA storage. In-silico molecular dynamic (MD) simulations are employed to gain insights into the effects of DNA on the FET surface's potential under extreme conditions of dehydration of double-stranded DNA (dsDNA), verifying its capacity to generate surface charge when dehydrated due to the evaporation of droplets. The platform is comprised of a backgated interdigital open gate junction FET (ID-OGJFET) fabricated through an innovative electronic sensing platform foundry and accompanied by an electronic interface system incorporated with a fluidic sample holder that reads the surface charge on the sensor induced by negatively charged nucleotides in dsDNA and single-stranded DNA (ssDNA). This novel ID-OGJFET sensor coated with native SiO2 enables a direct-on-channel sensing area of >16 mm2 without top gate extension for the target application, working at low back gate voltage (<0.4 V) for adsorption analysis in the dry mode. Our study involves designing, synthesizing, and introducing DNA sequences onto the chip surface at various concentrations. This paper presents and discusses experimental results that align with MD simulations, elucidating the impact of DNA's intrinsic charge on the chip's surface under extreme dehydration conditions. These findings pave the way for developing a portable charge-sensitive DNA monitoring system, particularly in the emerging physical storage of DNA.

A Portable and Flexible On-Road Sensing System for Traffic Monitoring

A Portable and Flexible On-Road Sensing System for Traffic Monitoring

Non-Destructive Prediction of Rosmarinic Acid Content in Basil Plants Using a Portable Hyperspectral Imaging System and Ensemble Learning Algorithms

Rosmarinic acid (RA) is a phenolic antioxidant naturally occurring in the plants of the Lamiaceae family, including basil (Ocimum basilicum L.). Existing analytical methods for determining the RA content in leaves are time-consuming and destructive, posing limitations on quality assessment and control during cultivation. In this study, we aimed to develop non-destructive prediction models for the RA content in basil plants using a portable hyperspectral imaging (HSI) system and machine learning algorithms. The basil plants were grown in a vertical farm module with controlled environments, and the HSI of the whole plant was captured using a portable HSI camera in the range of 400–850 nm. The average spectra were extracted from the segmented regions of the plants. We employed several spectral data pre-processing methods and ensemble learning algorithms, such as Random Forest, AdaBoost, XGBoost, and LightGBM, to develop the RA prediction model and feature selection based on feature importance. The best RA prediction model was the LightGBM model with feature selection by the AdaBoost algorithm and spectral pre-processing through logarithmic transformation and second derivative. This model performed satisfactorily for practical screening with R2P = 0.81 and RMSEP = 3.92. From in-field HSI data, the developed model successfully estimated and visualized the RA distribution in basil plants growing in the greenhouse. Our findings demonstrate the potential use of a portable HSI system for monitoring and controlling pharmaceutical quality in medicinal plants during cultivation. This non-destructive and rapid method can provide a valuable tool for assessing the quality of RA in basil plants, thereby enhancing the efficiency and accuracy of quality control during the cultivation stage.

An Electrocardiogram Monitoring Device Based on STM32

Cardiovascular diseases remain the leading cause of morbidity and mortality, particularly in aging populations, with rising rates of heart-related incidents in middle-aged and even younger individuals. Currently available electrocardiogram (ECG) monitoring technologies, such as bedside monitors are bulky and cumbersome, limiting their potential accessibility for continuous, real-time monitoring. Therefore, we propose a portable digital ECG monitoring system that can accurately measure heart rate, analyze the ECG in real-time, and wirelessly send data to the cloud platform. The device comprises a custom-designed circuit to capture ECG signals, with analog-to-digital conversion and heart rate measurement performed by an STM32F429 microcontroller. In addition, real-time monitoring is achieved through the L610-4G module, which transmits data to Tencent Cloud, enabling users to access their ECG data remotely while being notified by instant alerts for abnormal heart rates. Moreover, healthcare professionals can view historic ECG data for further clinical analysis of patient progression and make evidence-based decisions. The proposed system features portability and accuracy, enabling the user to access extended ECG data easily. It provides the ability to minimize redundant clinical assessments, thus offering considerable advantages to patients and healthcare practitioners.

Development and Validation of a Portable EIT System for Real-Time Respiratory Monitoring.

This work contributes to the improvement of novel medical technologies for the prevention and treatment of diseases. Electrical impedance tomography (EIT) has gained attention as a valuable tool for non-invasive monitoring providing real-time insights. The purpose of this work is to develop and validate a novel portable EIT system with a small form factor for respiratory monitoring. The device uses a 16-electrode architecture with adjacent stimulation and measurement patterns, an integrated circuit current source and a single high-speed ADC operating with multiplexers to stimulate and measure across all electrodes. Tests were conducted on 25 healthy subjects who performed a pulmonary function test with a flowmeter while using the EIT device. The results showed a good performance of the device, which was able to recognize all respirations correctly, and from the EIT signals and images, correlations of 96.7% were obtained for instantaneous respiratory rate and 96.1% for tidal volume prediction. These results validate the preliminary technical feasibility of the EIT system and demonstrates its potential as a reliable tool for non-invasive respiratory assessment. The significance of this work lies in its potential to democratize advanced respiratory monitoring technologies, making them accessible to a wider population, including those in remote or underserved areas.

A-348 Portable aptamer-based home monitoring system for blood phenylalanine measurement

Abstract Background Aptatek BioSciences, Inc. has developed a home monitoring tool for blood phenylalanine (phe) levels. The Aptatek system integrates a proprietary aptamer assay approach with a user-friendly handheld, smartphone-enabled test platform. PKU (phenylketonuria), is an inborn error of phenylalanine (Phe) metabolism If undiagnosed or untreated, phe accumulates in all body tissues, including the blood and brain, where it is especially neurotoxic and when untreated it can cause significant cognitive impairment and neurological defects. PKU management targets maintaining blood Phe concentration within the therapeutic range (120-360uM) to avoid severe neurological sequelae, mainly through nutritional therapy. Methods PheCheck™ includes a portable hand-held reader, software accessible as a mobile phone application, and a disposable single-use lateral flow cassette, blood collection, cap, and buffer chamber. PheCheck™ detects phe by binding of the phe in a small blood sample using small molecule-specific DNA aptamers. A patient (or caregiver) collects 5μl of capillary blood using a lancet to lance the fingertip and use the collection cap to collect the specimen. Once collected, the specimen is placed into the buffer chamber where the blood is diluted and processed in preparation for a lateral flow assay. The buffer chamber is placed on top of a lateral flow cassette to release the solution into the cassette. The lateral flow cassette is inserted into a small electronic reader after specimen incubation. The reader will detect a fluorescent signal from the strip and report the quantitative Phe concentration present in the specimen to the integrated mobile phone application. The reader has a simple design with a single operating push button, USB data connection port, and replaceable battery compartment. The reader reads the output of the lateral flow cassette and reports the result to a Smartphone app. The app is designed to either display the quantitative results or store the results without displaying the quantitative value. Results Twelve patients were trained on the PheCheck system and observed using the system for self-testing. Patients also prepared dried blood spot cards for comparative testing using LC-mass spectrometry. Patients were asked to return to the clinic within two weeks to retest. The blood phenylalanine levels measured by the PheCheck system were within targeted standard deviation of the dried blood spots demonstrating the feasibility of portable home-based testing for routine monitoring of blood phenylalanine levels in phenylketonuria patients. Such a portable system would enable real time monitoring and adjustment of diet or therapy for chronic diseases such as PKU. Conclusions Aptatek has developed a DNA aptamer based portable monitor for measuring blood phenylalanine levels. The system quantitatively measures phenylalanine from a 5-microliter finger stick blood sampler. Aptamer-based detection of phenylalanine provides reliable quantitation across a wide clinical concentration range and encouraging performance relative to gold standard testing of venous blood draw or dried blood spots. Analysis of samples from patients on Palynziq indicate that the PheCheck system could provide more reliable testing than venous blood draws. The system shows strong promise for routine home monitoring of blood phe levels by patients.

Portable Monitoring System for Assessing Therapeutic Efficacy in HER2‐Overexpressing Breast Cancer: One‐Step Simultaneous Detection of Cancer‐Derived Exosomal Proteins and mRNA in Urine

AbstractPoint‐of‐care (POC) monitoring of patient condition is crucial for effective cancer treatment and prognosis. This can be achieved non‐invasively by analyzing exosomes in body fluids. However, the heterogeneity of exosomes and non‐standardized quantification methods may interfere with clearly determining the patient's condition. Therefore, there is a need for technology that can precisely analyze both tumor‐derived exosomes and normal exosomes. Herein, this study presents the exosome multiple‐separation for simultaneous detection (EXO‐MUSSID) platform, which simultaneously isolates different exosomes based on their magnetization properties and monitors therapeutic efficacy of drugs. Using immunoaffinity magnetophoresis technology, HER2‐overexpressing and normal exosomes are collected separately, enabling real‐time monitoring of HER2 (also known as ERBB2) expression by analyzing the mRNA of each exosome based on a catalytic hairpin assembly (CHA) reaction. A portable fluorescence reader customized for the EXO‐MUSSID platform is developed for POC monitoring of HER2‐overexpressing breast cancer (HER2+ BC). The performance of the EXO‐MUSSID platform is validated using urine samples from HER2+ BC mouse models, confirming the progression of HER2+ BC and the changes in HER2 expression due to trastuzumab treatment. It is expected to serve as a valuable tool for exosome‐based liquid biopsy in disease monitoring.

Nanostructured NiS2-based flexible smart sensors for human respiration monitoring.

The growing demand for wearable healthcare devices has led to an urgent need for cost-effective, wireless and portable breath monitoring systems. However, it is essential to explore novel nanomaterials that combine state-of-the-art flexible sensors with high performance and sensing capabilities along with scalability and industrially acceptable processing. In this study, we demonstrate a highly efficient NiS2-based flexible capacitive sensor fabricated via a solution-processible route using a novel single-source precursor [Ni{S2P(OPr)2}2]. The developed sensor could precisely detect the human respiration rate and exhibit rapid responsiveness, exceptional sensitivity and selectivity at ambient temperatures, with an ultra-fast response and recovery. The device effectively differentiates the exhaled breath patterns including slow, fast, oral and nasal breath, as well as post-exercise breath rates. Moreover, the sensor shows outstanding bending stability, repeatability, reliable and robust sensing performance and is capable of contactless sensing. The sensor was further employed with a user-friendly wireless interface to facilitate smartphone-enabled real-time breath monitoring systems. This work opens up numerous avenues for cost-effective, sustainable and versatile sensors with potential applications for Internet of Things-based flexible and wearable electronics.This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.

Introducing PLEMS: the application of a low-cost, portable monitoring system in environmental walks.

The application of innovative systems using low-cost microcontrollers in human biometeorology studies is a promising alternative to conventional monitoring devices, which are usually cost-intensive and provide measurements at specific points, as in stationary meteorological stations. A Portable Low-cost Environmental Monitoring System (PLEMS) aimed at the pedestrian scale is introduced. The backpack-type equipment consists of a microcontroller with attached sensors that assess environmental conditions in a broad sense, integrating measurements of air quality, lighting and noise levels alongside variables typically measured at meteorological stations. The application of the system took place in altogether 12 environmental walks carried out with questionnaire-surveys with concurrent environmental monitoring with the PLEMS in Curitiba, Brazil, a subtropical location characterized by a Cfb climate type. Results allowed us to test the equipment and method of data gathering within a limited period (approximately 50 min) and for a short walking circuit of 800 m. The equipment was successfully able to capture even slightest differences in environmental conditions among points of interest, whereas subjective responses (n= 3843 responses to a total of 11 questions) showed consistency with measured data. From a multi-domain perspective, relevant insights could be obtained for the measured variables.

Technologies for retrospective radiation dosimetry.

Radiation dosimetry is an important task for assessing the biological damages created in human being due to ionising radiation exposure. Ionising radiation being invisible and beyond the perception of human natural sensors, the dosimetry equipments/systems are the utmost requirement for its measurement. Retrospective measurement of radiation doses is a challenging task as conventional radiation dosemeters are not available at the exposure site. The material/s in close proximity of exposed individual or individuals' biological samples may be used as retrospective radiation sensor for dosimetry purpose. Environment materials such as sand, bricks, ceramics, sand stones, quartz, feldspar, glasses and electronic chips have been utilised using TL (Thermoluminescence) techniques for retrospective gamma dose (min 10cGy) measurement. Electron Spin Resonance techniques have been employed to human biological samples such as tooth enamel, bones, nails, hair, etc. and reported for dosimetry for ~20cGymin dose measurement. Some commercial glasses have been found sensitive enough to measure the minimum gamma doses of the order of 100cGy using TL techniques. For internal retrospective dosimetry, the radioactivity contamination assessment in food items, water, other edible product and ambient air are the prerequisites. The radioactivity concentration vis-à-vis their consumption rate may help in controlling the internal contamination and estimation of dose absorption in human body. Defence Laboratory, Jodhpur has been working extensively on the dosimetry techniques for external dose measurement using environmental material and developed portable contamination monitoring systems for food and water radioactivity measurement in the range of 50Bq kg-1 to 1000kBq kg-1 in 60s measurement time. The recent research and development in the methodologies, equipments and systems undertaken towards capacity building and self-reliance in retrospective radiation dosimetry is reported in this paper.

Multilayer Fluorine-Free MoBTx MBene with Hydrophilic Structural-Modulating for the Fabrication of a Low-Resistance and High-Resolution Humidity Sensor.

2D transition metal borides (MBenes) with abundant surface terminals hold great promise in molecular sensing applications. However, MBenes from etching with fluorine-containing reagents present inert -fluorine groups on the surface, which hinders their sensing capability. Herein, the multilayer fluorine-free MoBTx MBene (where Tx represents O, OH, and Cl) with hydrophilic structure is prepared by a hydrothermal-assisted hydrochloric acid etching strategy based on guidance from the first-principle calculations. Significantly, the fluorine-free MoBTx-based humidity sensor is fabricated and demonstrates low resistance and excellent humidity performance, achieving a response of 90% to 98%RH and a high resolution of 1%RH at room temperature. By combining the experimental results with the first-principles calculations, the interactions between MoBTx and H2O, including the adsorption and intercalation of H2O, are understood first in depth. Finally, the portable humidity early warning system for real-time monitoring and early warning of infant enuresis and back sweating illustrates its potential for humidity sensing applications. This work not only provides guidance for preparation of fluorine-free MBenes, but also contributes to advancing their exploration in sensing applications.

Outcomes of endovascular therapy for Stanford type B aortic dissection in patients with sleep apnea syndrome

ObjectiveThis study aimed to determine the influences of varying severity of sleep apnea syndrome (SAS) on the outcomes after thoracic endovascular aorta repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD). MethodsThis observational study focused on individuals with TBAD plus SAS who received TEVAR between January 2018 and December 2022. Patients were divided into groups according to the results of the portable sleep-breathing monitoring systems: mild SAS (MSAS) and moderate-to-severe SAS (MSSAS). Clinical profiles were collected and analyzed. ResultsA total of 121 cases with TBAD plus SAS who underwent TEVAR were enrolled in this study. Two groups were formed by stratifying these cases: MSAS (74 cases) and MSSAS (47 cases). The MSSAS cases were found to be older relative to MSAS cases (51.7 ± 8.3 years vs 57.1 ± 12.8 years; P = .012) and had a higher body mass index (BMI; 25.7 ± 2.3 kg/m2vs 27.0 ± 2.3 kg/m2; P = .038). The investigation did not find any appreciable differences between the MSAS and MSSAS groups in terms of complications (endoleak, P = .403; stent-induced new entry, P >.999; and stent displacement: P >.999). However, the MSSAS group exhibited a significantly higher overall mortality rate compared with the MSAS group (log-rank P = .027). The tendency continued when examining cases with Marfan syndrome combined with MSSAS, where the overall mortality rate was significantly greater compared with Marfan syndrome cases with MSAS (log-rank P = .037). The absence of a significant difference was noteworthy in the freedom from reintervention between the MSAS and MSSAS groups (log-rank P = .278). The overall mortality rate was significantly higher in MSSAS group even after adjusting for varying potential confounders in the multivariate cox regression analysis (hazard ratio [HR], 1.875; 95% confidence interval [CI], 1.238-2.586; P = .012). A markedly higher rate of distal stent dilation in the MSSAS group was also observed compared with the MSAS group (HR, 2.5 mm/year [95% CI, 2-3 mm/year] vs HR, 4 mm/year [95% CI, 2.0-5.5 mm/year]; P = .029). ConclusionsMSSAS is associated with a significantly higher risk of overall mortality and dilation rate of the distal stent after TEVAR for TBAD patients. Hence, aggressive efforts to reverse the severity of SAS in time in these individuals seem to be necessary.

A phosphorylated guanidine chitosan and UiO-66-NH2 modified magnetic nanoparticle platform for enrichment and detection of multiple bacteria

Wastewater-based epidemiology (WBE) is a powerful tool for early warning of infectious disease outbreaks. Hence, a rapid and portable pathogen monitoring system is urgent needed for on-site detection. In this work, we first reported synthesis of an artificial modulated wide-spectrum bacteria capture nanoparticle (Arg-CSP@UiO@Fe3O4). Arginine-modified phosphorylated chitosan (Arg-CSP) coating could provide strongly positive charged guanidinium group for pathogen interaction by electrostatic attraction, and UiO-66-NH2 layer could help Arg-CSP graft onto Fe3O4 magnetic particles. The capture efficiency of Arg-CSP@UiO@Fe3O4 reached 92.2 % and 97.3 % for Escherichia coli (E.coli) and Staphylococcus epidermidis (S.epidermidis)within 40 min, in 10 mL sample. To prevent pathogen degradation in sewage, a portable nucleic acid extraction-free method was also developed. UiO-66-NH2 could disintegrate in buffer with high concentration of PO43− for bacterium desorption, and then nucleic acid of the bacteria was released by heating. The DNA template concentration obtained by this method was 779.28 times higher than that of the direct thermal lysis product and 8.63 times higher than that of the commercial kit. Afterwards, multiple detection of bacteria was realized by loop-mediated isothermal amplification (LAMP). Artificial regulated pathogen desorption could prevent non-specific adsorption of nucleic acid by nanoparticles. The detection limit of Arg-CSP@UiO@Fe3O4-LAMP method was 80 cfu/mL for E.coli and 300 cfu/mL for S.epidermidis. The accuracy and reliability of the method was validated by spiked sewage samples. In conclusion, this bio-monitoring system was able to detect multiple bacteria in environment conveniently and have good potential to become an alternative solution for rapid on-site pathogen detection.

Secure and portable health monitoring system for cyber physical systems in internet of things

The incorporation of Internet of Things (IoT) technology into healthcare has introduced vulnerabilities within medical devices, thereby posing noteworthy risks to both patient safety and the inclusive integrity of healthcare systems. This contribution addresses the security concern of health care monitoring system. The STM32BL-475E IoT node along with its sensors provides a greener way to monitor health remotely with data privacy, along with this many such applications can be containerized to enable multiuser application in virtual set up. This paper proposes a methodology of dynamic key generation highlighting the potential for transformative healthcare advancements. The proposed work provides an improved avalanche effect of 51.6%, minimal RAM utilization of 3.49% and a randomness of 2^128 times which is very unpredictable to detect. This paper aims to integrate these technologies to create a resilient health monitoring framework with greater data indemnity. The integration of artificial intelligence with the proposed design is reserved as future work.

Health monitoring system using ECG and PPG techniques

The demand for portable health monitoring systems has grown rapidly in recent years due to the increasing prevalence of chronic diseases and the need for continuous health monitoring. This article introduces the development and implementation of a portable health monitoring system using photo plethysmography (PPG) and electrocardiogram (ECG) technologies. The system integrates the Node MCU ESP8266 microcontroller, AD8232 ECG sensor, and MAX30100 sensor to measure vital signs such as heart rate and blood oxygen saturation level. The proposed system provides a cost-effective and efficient solution for real-time health monitoring, enabling early detection of abnormalities and timely intervention. The feasibility and performance of the system were proven through experimental tests.

Validation of a Portable Respiratory Monitoring System for the Diagnosis of Obstructive Sleep Apnea in Patients with Chronic Obstructive Pulmonary Disease: A Crossectional Study.

Introduction Portable respiratory monitoring (PM) has been used to diagnose obstructive sleep apnea (OSA) in the general population. However, its validation in patients with both OSA and chronic obstructive pulmonary disease (COPD), remains unclear. Objective The aim of the study was to validate PM for the diagnosis of OSA in patients with COPD. Materials and Methods In this crossectional study, COPD patients were submitted simultaneously to polysomnography (PSG) and PM. Moreover, the risk for OSA was verified by the Berlin, NoSAS, and STOP-BANG questionnaires. Sensitivity, specificity, positive predictive value, and negative predictive value for PM were calculated for the cutoff points of the hypopnea apnea index (AHI) of 5, 15, and 30 events/hour, as well as for the questionnaires. The Bland-Altman test and correlation analyses between the AHI of the PSG and PM were performed. Results A total of 103 patients were evaluated (age 67.5 ± 9.9 years, 60% men). The STOP-BANG questionnaire had the highest sensitivity for OSA diagnosis, at 94.4% (72.7-99.9%). The sensitivity of PM decreased (87.0, 66.7, and 44.4%), and the specificity increased 40.0, 78.6, and 100.0%) as the AHI cutoff point increased from 5, 15, and 30. The Bland-Altman test indicated good limits of agreement (AHI = 5.5 ± 11.7 events/hour). Therefore, the AHI results of the PM showed a strong and positive correlation with those of the PSG (r = 0.70, p < 0.0001). Conclusion The PM test can be a useful tool for OSA diagnosis in patients with COPD.

A Multimodal Feature Fusion Brain Fatigue Recognition System Based on Bayes-gcForest.

Modern society increasingly recognizes brain fatigue as a critical factor affecting human health and productivity. This study introduces a novel, portable, cost-effective, and user-friendly system for real-time collection, monitoring, and analysis of physiological signals aimed at enhancing the precision and efficiency of brain fatigue recognition and broadening its application scope. Utilizing raw physiological data, this study constructed a compact dataset that incorporated EEG and ECG data from 20 subjects to index fatigue characteristics. By employing a Bayesian-optimized multi-granularity cascade forest (Bayes-gcForest) for fatigue state recognition, this study achieved recognition rates of 95.71% and 96.13% on the DROZY public dataset and constructed dataset, respectively. These results highlight the effectiveness of the multi-modal feature fusion model in brain fatigue recognition, providing a viable solution for cost-effective and efficient fatigue monitoring. Furthermore, this approach offers theoretical support for designing rest systems for researchers.

Portable ECG monitoring system with IOT analysis

This system is designed to calculate the heart rate of patients and transmit the data in beats per minute (bpm) to a cloud database. By using this system, doctors can analyze critical parameters remotely. The project involves interfacing the AD8232 ECG Sensor with the NodeMCU ESP8266 Board to monitor ECG waveforms on a Serial Plotter Screen and transmit the data to an IoT cloud platform for real-time monitoring. This innovation allows for remote monitoring of heart activity, reducing the need for hospital stays. Utilizing the Blynk IoT platform, the system ensures online access via PC or Smartphone, representing a significant advancement in patient health monitoring. This approach aims to improve early detection and prevention of heart diseases, enhancing patient care and reducing fatalities.

Development of an IoT-Based Automatic Remote Health Monitoring System

A well-planned health monitoring system is essential for the modern health center, and a portable remote health monitoring system with many intellectual features is becoming a great improvement in healthcare arrangements. The proposed system includes various micro-electronics medical devices and applications that come through network-connected devices and help to monitor patients' real-time medical data. In this paper, the patient's health condition has been monitored by using the four types of major health parameters temperature sensor, heart pulse rate sensor, blood pressure sensor module, and blood oxygen (SpO2) sensor. All the sensor nodes are connected to the Raspberry Pi-based embedded system. The real-time health data are recorded, stored, and transmitted to the doctor via the internet with the help of a Raspberry Pi-based embedded system and IoT server. The system will benefit the patient from remote areas with quick diagnosis, remote observation, home observation, and a medical data storage system. Journal of Engineering Science 14(2), 2023, 21-30

Health risk analysis of air pollutant exposure on children’s lung function in industrial area of Bandung Regency

Industrial areas are considered to have a higher risk of air pollution impact, especially for children living close to the industry, as children breathe in more air per body weight unit than adults. This study aims to analyse the risk of exposure to ambient pollutants (PM2.5, PM10, NO2, CO, SO2, and O3) in children and factors that affect lung function disorders. This study was based in the Dayeuhkolot sub-district of Bandung Regency. A cross-sectional study was conducted on school-aged children (9-12 years old) living in an industrial close to Bandung Regency. Parents or guardians were asked to complete a questionnaire on respiratory symptoms to estimate the exposure to ambient air pollutants risk. Air pollutants (PM2.5, PM10, NO2, CO, SO2, and O3) were measured using a portable Air Quality Monitoring System (AQMS), the lung function was measured by Spirometer MSA99, and non-cancer risk (HQ) was determined using the human health risk assessment model. The average results of ambient air pollutants measurement concentration are PM2.5 (45,59 ± 15,48 µg/m3), PM10 (75,56 ±25,93 µg/m3), SO2 (9,39 ± 6,27 µg/m3), CO (17,38±6,35 µg/m3), O3 (12,58 ± 3,12 µg/m3) and NO2 (15,86 ± 3,39 µg/m3). All pollutants concentrations are still below ambient air quality standards of PP NO.22/2021. With an average non-carcinogen Health Index (HI) of 0,48 ± 0,29. A lung function of total of 35 children were collected, with an average FVC: 1,59 L and FEV1.0: 1,42 L; there were 17 children with restrictive, 5 children with obstructive, and 1 combined lung disorder. The most significant factors of respiratory disorders were gender, height, respiratory complaint, and passive smoking symptoms (p &lt; 0.05).