The use of a portable X-ray fluorescence spectrometer for measuring nickel in plants: sample preparation and validation.

X-ray fluorescence is a fast, cost-effective, and eco-friendly method for elemental analyses. Portable X-ray fluorescence spectrometers (pXRF) have proven instrumental in detecting metals across diverse matrices, including plants. However, sample preparation and measurement procedures need to be standardized for each instrument. This study examined sample preparation methods and predictive capabilities for nickel (Ni) concentrations in various plants using pXRF, employing empirical calibration based on inductively coupled plasma optical emission spectroscopy (ICP-OES) Ni data. The evaluation involved 300 plant samples of 14 species with variable of Ni accumulation. Various dwell times (30, 60, 90, 120, 300 s) and sample masses (0.5, 1.0, 1.5, 2.0 g) were tested. Calibration models were developed through empirical and correction factor approaches. The results showed that the use of 1.0 g of sample (0.14 g cm-2) and a dwell time of 60 s for the study conditions were appropriate for detection by pXRF. Ni concentrations determined by ICP-OES were highly correlated (R2 = 0.94) with those measured by the pXRF instrument. Therefore, pXRF can provide reliable detection of Ni in plant samples, avoiding the digestion of samples and reducing the decision-making time in environmental management.

Research on high performance combustible gas concentration sensor based on pyramid beam splitter matrix.

Combustible gas concentration detection faces challenges of increasing accuracy, and sensitivity, as well as high reliability in harsh using environments. The special design of the optical path structure of the sensitive element provides an opportunity to improve combustible gas concentration detection. In this study, the optical path structure of the sensitive element was newly designed based on the Pyramidal beam splitter matrix. The infrared light source was modulated by multi-frequency point signal superimposed modulation technology. At the same time, concentration detection results and confidence levels were calculated using the 4-channel combustible gas concentration detection algorithm based on spectral refinement. Through experiment, it is found that the sensor enables full-range measurement of CH4, at the lower explosive limit (LEL, CH4 LEL of 5%), the reliability level is 0.01 parts-per-million (PPM), and the sensor sensitivity is up to 0.5PPM. The sensor is still capable of achieving PPM-level detections, under extreme conditions in which the sensor's optical window is covered by 2/3, and humidity is 85% or dust concentration is 100mg/m3. Those improve the sensitivity, robustness, reliability, and accuracy of the sensor.

Development of a novel DGT passive sampler for measuring polycyclic aromatic hydrocarbons in aquatic systems.

Polycyclic aromatic hydrocarbons (PAHs) are priority pollutants and need to be measured reliably in waters and other media, to understand their sources, fate, behaviour and to meet regulatory monitoring requirements. Conventional water sampling requires large water volumes, time-consuming pre-concentration and clean-up and is prone to analyte loss or contamination. Here, for the first time, we developed and validated a novel diffusive gradients in thin-films (DGT) passive sampler for PAHs. Based on the well-known DGT principles, the sampler pre-concentrates PAHs with typical deployment times of days/weeks, with minimal sample handling. For the first time, DGT holding devices made of metal and suitable for sampling hydrophobic organic compounds were designed and tested. They minimize sorption and sampling lag times. Following tests on different binding layer resins, a MIP-DGT was preferred - the first time applying MIP for PAHs. It samples PAHs independent of pH (3.9 -8.1), ionic strength (0.01 -0.5 M) and dissolved organic matter < 20 mg L-1, making it suitable for applications across a wide range of environments. Field trials in river water and wastewater demonstrated that DGT is a convenient and reliable tool for monitoring labile PAHs, readily achieving quantitative detection of environmental levels (sub-ng and ng/L range) when coupled with conventional GC-MS or HPLC. ENVIRONMENTAL IMPLICATIONS: PAHs are carcinogenic and genotoxic compounds. They are environmentally ubiquitous and must be monitored in waters and other media. This study successfully developed a new DGT passive sampler for reliable in situ time-integrated measurements of PAHs in waters at the ng/L level. This is the first time to use passive samplers for accurate measurements of hydrophobic organic contaminants in aquatic systems without calibration, a big step forward in monitoring PAHs. The application of this new sampler will enhance our understanding of the sources, fate, behavior and ecotoxicology of PAHs, enabling improved environmental risk assessment and management of these compounds.

Tyrosinase-based nanobiosensor for environmental monitoring of hormones in river water.

This study explores the application of a tyrosinase cantilever nanobiosensor for detecting 17ß-estradiol and estrone in typical water systems. The physical-chemical parameters of water were evaluated within the Tigre River micro-basin in Erechim, RS, to determine water potability for urban populations. Water clarity, conductivity, and pH levels were essential markers, adhering to recognized standards for water quality and human consumption. The cantilever nanobiosensor demonstrated strong sensitivity and a broad linear range, with a limit of detection (<0.00051 ppb) surpassing other enzymatic biosensors and covering a range of 0.0001-100 ppb. The real water sample quality investigated in relation to contamination with 17ß-estradiol and estrone by nanobiosensor showed values below the LOD for both compounds. Recovery studies demonstrated the reliability of the nanobiosensor. Selectivity tests indicated minimal interference from structurally similar substances. This study validates the nanobiosensor's potential for environmental monitoring and hormone detection, aligning with standard practices.

Detecção de flavivirus e alphavirus em mosquitos (diptera: culicidae) capturados em região próxima à Três Lagoas ­ Ms / Detection of flavivirus and alphavirus in mosquitoes (diptera: culicidae) captured in a region close to Tres Lagoas ­ Ms / Detección de flavivirus y alphavirus en mosquitos (diptera: culicidae) capturados en una región cercana a Tres Lagoas ­ Ms

Introdução: Arbovírus são causadores de doenças humanas, sendo que mudança ecológicas e aumento do contato humano-vetor aumenta a possibilidade de surtos. Objetivo: Detectar, identificar e caracterizar arbovírus presentes em mosquitos vetores capturados em regiões de mata próximas a Três Lagoas, MS. Metodologia: Mosquitos foram capturados utilizando armadilhas de luz em regiões de mata circunvizinha a Três Lagoas. Os mosquitos capturados foram classificados por gênero (chave morfológica) e agrupados em pools com até 20 espécimes, e utilizados através da reação de RT-PCR com posterior sequenciamento e análise filogenética. Resultados: Foram capturados 851 dos gêneros: Culex spp. (11 pools); Aedes spp. (13 pools); Haemagogus spp. (7 pools) e outros gêneros não identificados. Sequencias de vírus Dengue (DENV) foram amplificadas de 2/13 (15,38%) pools de Aedes spp. e uma sequência de vírus Mayaro (MAYV) 1/7 (7,7%) foi amplificada de pools de Haemagogus spp. As análises filogenéticas mostraram que as sequências de DENV agrupava-se no clado de DENV1 e DENV2. A sequência de MAYV agrupou-se junto a sequências de amostras de infecções humana por MAYV do grupo L. Conclusão: Estes resultados reforçam a circulação de DENV, que é causador de surtos anuais de doenças febris agudas no município, e detecção, por primeira vez na região, a circulação de MAYV, reforçando a necessidade de monitoramento viral constante nessa região.

Introduction: Arboviruses cause human diseases, and ecological changes and increased human-vector contact increase the possibility of outbreaks. Objective: To detect, identify and characterize arboviruses present in mosquito vectors captured in forest regions close to Tres Lagoas, MS. Methodology: Mosquitoes were captured using light traps in forest regions surrounding Tres Lagoas. The captured mosquitoes were classified by gender (morphological key) and grouped into pools with up to 20 specimens and used through the RT-PCR reaction with subsequent sequencing and phylogenetic analysis. Results: 851 of the genera were captured: Culex spp. (11 pools); Aedes spp. (13 pools); Haemagogus spp. (7 pools) and other unidentified genera. Dengue virus (DENV) sequences were amplified from 2/13 (15.38%) pools of Aedes spp. and a Mayaro virus (MAYV) sequence 1/7 (7.7%) were amplified from pools of Haemagogus spp. Phylogenetic analyzes showed that one of the DENV sequences clustered in the DENV1 and DENV2 clade. The MAYV sequence was grouped together with sequences from samples of human MAYV infections of the L group. Conclusion: These results reinforce the circulation of DENV, which causes annual outbreaks of acute febrile illnesses in the municipality, and detection, for the first time in the region, the circulation of MAYV, reinforcing the need for constant viral monitoring in this region.

Introducción: Los arbovirus causan enfermedades humanas, y los cambios ecológicos y el mayor contacto humano-vector aumentan la posibilidad de brotes. Objetivo: Detectar, identificar y caracterizar arbovirus presentes en mosquitos vectores capturados en regiones de selva próximas a Tres Lagoas, MS. Metodología: Los mosquitos fueron capturados utilizando trampas de luz en las regiones forestales que rodean Tres Lagoas. Los mosquitos capturados fueron clasificados por género (clave morfológica) y agrupados en pools de hasta 20 ejemplares, y utilizados mediante la reacción RT-PCR con posterior secuenciación y análisis filogenético. Resultados: Se capturaron 851 de los géneros: Culex spp. (11 pools); Aedes spp. (13 pools); Haemagogus spp. (7 pools) y otros géneros no identificados. Las secuencias del virus del dengue (DENV) se amplificaron a partir de 2/13 (15,38 %) grupos de Aedes spp. y una secuencia de virus Mayaro (MAYV) 1/7 (7,7%) de pools de Haemagogus spp. Los análisis filogenéticos mostraron que una de las secuencias de DENV se agrupaba en el clado DENV1 y DENV2. La secuencia de MAYV se agrupó con secuencias de muestras de infecciones humanas de MAYV del grupo L. Conclusión: Estos resultados refuerzan la circulación de DENV, causante de brotes anuales de enfermedades febriles agudas en el municipio, y la detección, por primera vez en la región, la circulación de MAYV, reforzando la necesidad de un monitoreo viral constante en esta región.

Identificação e condução de manifestação oftálmica de mpox pela vigilância epidemiológica: relato de experiência / Identification and management of ophthalmic manifestation of mpox by epidemiological surveillance: experience report / Identificación y manejo de la manifestación oftálmica del mpox mediante vigilancia epidemiológica: informe de una experiencia

Objetivo: descrever o processo de condução de um caso com manifestação oftálmica pela mpox, destacando o trabalho da enfermagem na prevenção de complicações da doença. Método: relato de experiência da condução de um caso de mpox ocorrido em setembro de 2022 com manifestação oftálmica. Resultados: a pronta identificação da complicação oftálmica, com a presença de conjuntivite e edema palpebral, apresentada por um paciente com suspeita de mpox pela equipe de enfermagem da vigilância epidemiológica durante as ações de monitoramento, e o envolvimento da equipe com outras equipes de diversos níveis da assistência à saúde permitiram a instituição precoce do tratamento com antiviral recomendado pelo Ministério da Saúde, o que contribuiu para um melhor desfecho. Conclusão: é importante que se dissemine o conhecimento sobre as manifestações oftálmicas associadas à mpox para que a equipe de enfermagem, que atua nos diversos níveis de atenção à saúde, esteja atenta para implementar, de forma precoce, medidas de prevenção, diagnóstico e tratamento adequados.

Objective: to describe the process of conducting a case with ophthalmic manifestation by mpox, highlighting the work of nursing in preventing complications of the disease. Method: experience report of managing a case of mpox that occurred in September 2022 with ophthalmic manifestation. Results: the prompt identification of the ophthalmic complication, with the presence of conjunctivitis and eyelid edema, presented by a patient with suspected mpox by the epidemiological surveillance nursing team during monitoring actions and the team's involvement with other teams from different levels of the health care allowed the early initiation of antiviral treatment recommended by the Ministry of Health, which contributed to a better outcome. Conclusion: it is important to disseminate knowledge about ophthalmic manifestations associated with mpox for the nursing team that works at different levels of health care to be attentive to implement preventive measures, diagnosis and adequate and early treatment.

Objetivo: describir el proceso de manejo de un caso con manifestación of- talmológica por mpox, destacando la labor de enfermería en la prevención de complica- ciones de la enfermedad. Material y método: relato de experiencia de manejo de un caso de mpox ocurrido en septiembre de 2022 con manifestación oftálmica. Resultados: la rápida identificación de la complicación oftálmica, con la presencia de conjuntivitis y edema de párpados, presentada por un paciente con sospecha de mpox por el equipo de enfermería de vigilancia epidemiológica durante las acciones de monitoreo y la partici- pación del equipo con otros equipos de diferentes niveles de la asistencia sanitaria per- mitió el inicio precoz del tratamiento antiviral recomendado por el Ministerio de Salud, lo que contribuyó a un mejor resultado. Conclusión: es importante difundir el conoci- miento sobre las manifestaciones oftálmicas asociadas a la viruela del mono para que el equipo de enfermería que actúa en los diferentes niveles de atención a la salud esté atento a implementar medidas preventivas, diagnósticas y de tratamiento adecuado y precoz.

Addressed Combined Fiber-Optic Sensors as Key Element of Multisensor Greenhouse Gas Monitoring Systems.

The design and usage of the addressed combined fiber-optic sensors (ACFOSs) and the multisensory control systems of the greenhouse gas concentration on their basis are investigated herein. The main development trend of the combined fiber-optic sensors (CFOSs), which consists of the fiber Bragg grating (FBG) and the Fabry-Perot resonator (FPR), which are successively formed at the optical fiber end, is highlighted. The use of the addressed fiber Bragg structures (AFBSs) instead of the FBG in the CFOSs not only leads to the significant cheapening of the sensor system due to microwave photonics interrogating methods, but also increasing its metrological characteristics. The structural scheme of the multisensory gas concentration monitoring system is suggested. The suggested scheme allows detecting four types of greenhouse gases (CO2, NO2, CH4 and Ox) depending on the material and thickness of the polymer film, which is the FPR sensitive element. The usage of the Karhunen-Loève transform (KLT), which allows separating each component contribution to the reflected spectrum according to its efficiency, is proposed. In the future, this allows determining the gas concentration at the AFBS address frequencies. The estimations show that the ACFOS design in the multisensory system allows measuring the environment temperature in the range of -60…+300 °C with an accuracy of 0.1-0.01 °C, and the gas concentration in the range of 10…90% with an accuracy of 0.1-0.5%.

Metal-Organic Framework Based Gas Sensors.

The ever-increasing concerns over indoor/outdoor air quality, industrial gas leakage, food freshness, and medical diagnosis require miniaturized gas sensors with excellent sensitivity, selectivity, stability, low power consumption, cost-effectiveness, and long lifetime. Metal-organic frameworks (MOFs), featuring structural diversity, large specific surface area, controllable pore size/geometry, and host-guest interactions, hold great promises for fabricating various MOF-based devices for diverse applications including gas sensing. Tremendous progress has been made in the past decade on the fabrication of MOF-based sensors with elevated sensitivity and selectivity toward various analytes due to their preconcentrating and molecule-sieving effects. Although several reviews have recently summarized different aspects of this field, a comprehensive review focusing on MOF-based gas sensors is absent. In this review, the latest advance of MOF-based gas sensors relying on different transduction mechanisms, for example, chemiresistive, capacitive/impedimetric, field-effect transistor or Kelvin probe-based, mass-sensitive, and optical ones are comprehensively summarized. The latest progress for making large-area MOF films essential to the mass-production of relevant gas sensors is also included. The structural and compositional features of MOFs are intentionally correlated with the sensing performance. Challenges and opportunities for the further development and practical applications of MOF-based gas sensors are also given.

Application of HACCP for development of quality risk management in a water purification system

Abstract The present work reports the implementation of the Hazard Analysis Critical Control Point (HACCP) methodology to analyze the water purification system of a pharmaceutical site, in order to assure the system quality and prevent failures. As a matter of fact, the use of HACCP for development and implementation of Quality Risk Management (QRM) is not usual in pharmaceutical plants and it is applied here to improve the performance of the water purification system of a polymerization pilot plant used to manufacture pharmaceutical grade polymer microparticles. Critical Control Points (CCP) were determined with the aid of a decision tree and questions were made to characterize whether identified hazards constitute actual CCPs and should be monitored. When deviations were detected, corrective actions were performed and action plans were used for following-up and implementation of corrective actions. Finally, microbiological and physicochemical parameters were analyzed and the obtained results were regarded as appropriate. Therefore, it is shown that HACCP constitutes an effective tool for identification of hazards, establishment of corrective actions and monitoring of the critical control points that impact the process and the quality of the final pharmaceutical product most significantly.

Reflection about the hemodialysis water microbiological quality in Brazil

Abstract Dialysis has been widely used in the treatment of patients with chronic kidney diseases and is considered a global public health issue. This treatment, which has changed the prognosis and quality of life in patients with chronic renal failure, can lead to complications that are often fatal. For this reason, there is a need for validation of alternative tests that favor the monitoring of treated water for dialysis in real-time to promote and prevent injuries to patients submitted to this procedure.

Insight into the Sorption of 5-Fluorouracil and Methotrexate onto Soil-pH, Ionic Strength, and Co-Contaminant Influence.

Nowadays anticancer drugs (ADs), like other pharmaceuticals, are recognized as new emerging pollutants, meaning that they are not commonly monitored in the environment; however, they have great potential to enter the environment and cause adverse effects there. The current scientific literature highlights the problem of their presence in the aquatic environment by publishing more and more results on their analytics and ecotoxicological evaluation. In order to properly assess the risk associated with the presence of ADs in the environment, it is also necessary to investigate the processes that are important in understanding the environmental fate of these compounds. However, the state of knowledge on mobility of ADs in the environment is still very limited. Therefore, the main aim of our study was to investigate the sorption potential of two anticancer drugs, 5-fluorouracil (5-FU) and methotrexate (MTX), onto different soils. Special attention was paid to the determination of the influence of pH and ionic strength as well as presence of co-contaminants (cadmium (Cd2+) and another pharmaceutical-metoprolol (MET)) on the sorption of 5-FU and MTX onto soil. The obtained distribution coefficient values (Kd) ranged from 2.52 to 6.36 L·kg-1 and from 6.79 to 12.94 L·kg-1 for 5-FU and MTX, respectively. Investigated compounds may be classified as slightly or low mobile in the soil matrix (depending on soil). 5-FU may be recognized as more mobile in comparison to MET. It was proved that presence of other soil contaminants may strongly influence their mobility in soil structures. The investigated co-contaminant (MET) caused around 25-fold increased sorption of 5-FU, whereas diminished sorption of MTX. Moreover, the influence of environmental conditions such as pH and ionic strength on their sorption has been clearly demonstrated.

Passive sampling of toluene (and benzene) in indoor air using a semipermeable membrane device.

The distribution and concentration of organic compounds in the environment have attracted great interest mainly due to their capability of bioaccumulation, dispersion, and danger to living organisms. Factors such as urbanization, population growth, and the emergence of new technologies contribute to the increase in pollutant emissions, especially volatile organic compounds (VOCs), such as benzene, toluene, ethylbenzene, and xylenes (BTEX). These compounds are emitted by several sources, becoming more common in work environments, influencing indoor air quality (IAQ), which can cause health damage, in addition to increasing the likelihood of cancer development. In this context, we developed a semipermeable membrane device (SPMD), consisting of low density polyethylene membrane (8 cm long × 3 cm wide), filled with 3 mL of acetonitrile, for passive sampling of toluene (and benzene) in gas phase. With this configuration, the SPMD needed 24 h exposure to the indoor air in order to achieve equilibrium. The target compounds were quantified in the acceptor phase by HPLC-DAD. The optimized SPMD was tested for the collection of toluene and benzene in six chemistry laboratories at Fluminense Federal University and in five nail salons in the city of Niterói, in the state of Rio de Janeiro, Brazil. The developed sampling method was able to identify the analytes in the indoor air of the studied environments, and was easy to operate, with no need to clean up the extracts, allowing their direct injection into the chromatographic system.

Optimized workflow for unknown screening using gas chromatography high-resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers.

RATIONALE: Silicone wristbands have emerged as valuable passive samplers for monitoring of personal exposure to environmental contaminants in the rapidly developing field of exposomics. Once deployed, silicone wristbands collect and hold a wealth of chemical information that can be interrogated using high-resolution mass spectrometry (HRMS) to provide a broad coverage of chemical mixtures. METHODS: Gas chromatography coupled to Orbitrap™ mass spectrometry (GC/Orbitrap™ MS) was used to simultaneously perform suspect screening (using in-house database) and unknown screening (using vendor databases) of extracts from wristbands worn by volunteers. The goal of this study was to optimize a workflow that allows detection of low levels of priority pollutants, with high reliability. In this regard, a data processing workflow for GC/Orbitrap™ MS was developed using a mixture of 123 environmentally relevant standards consisting of pesticides, flame retardants, organophosphate esters, and polycyclic aromatic hydrocarbons as test compounds. RESULTS: The optimized unknown screening workflow using a search index threshold of 750 resulted in positive identification of 70 analytes in validation samples, and a reduction in the number of false positives by over 50%. An average of 26 compounds with high confidence identification, 7 level 1 compounds and 19 level 2 compounds, were observed in worn wristbands. The data were further analyzed via suspect screening and retrospective suspect screening to identify an additional 36 compounds. CONCLUSIONS: This study provides three important findings: (1) a clear evidence of the importance of sample cleanup in addressing complex sample matrices for unknown analysis, (2) a valuable workflow for the identification of unknown contaminants in silicone wristband samplers using electron ionization HRMS data, and (3) a novel application of GC/Orbitrap™ MS for the unknown analysis of organic contaminants that can be used in exposomics studies.

Concurrent assessment of personal, indoor, and outdoor PM2.5 and PM1 levels and source contributions using novel low-cost sensing devices.

The intensity, frequency, duration, and contribution of distinct PM2.5 sources in Asian households have seldom been assessed; these are evaluated in this work with concurrent personal, indoor, and outdoor PM2.5 and PM1 monitoring using novel low-cost sensing (LCS) devices, AS-LUNG. GRIMM-comparable observations were acquired by the corrected AS-LUNG readings, with R2 up to 0.998. Twenty-six non-smoking healthy adults were recruited in Taiwan in 2018 for 7-day personal, home indoor, and home outdoor PM monitoring. The results showed 5-min PM2.5 and PM1 exposures of 11.2 ± 10.9 and 10.5 ± 9.8 µg/m3 , respectively. Cooking occurred most frequently; cooking with and without solid fuel contributed to high PM2.5 increments of 76.5 and 183.8 µg/m3 (1 min), respectively. Incense burning had the highest mean PM2.5 indoor/outdoor (1.44 ± 1.44) ratios at home and on average the highest 5-min PM2.5 increments (15.0 µg/m3 ) to indoor levels, among all single sources. Certain events accounted for 14.0%-39.6% of subjects' daily exposures. With the high resolution of AS-LUNG data and detailed time-activity diaries, the impacts of sources and ventilations were assessed in detail.

Potentially pathogenic bacteria isolated from neglected air and surfaces in hospitals

Hospital infections (HI) are a serious public health problem in many countries. Several studies have identified strains correlating to surgical site infections, many with multi-resistance. The goals of this study was to quantify, to identify and to verify the resistance profile of microorganisms collected at two hospitals settings, and to alert health professionals how environmental contamination can influence hospital infection rates. For air sampling in operating rooms, intensive care unit and materials sterilization center, the impaction method (Spin Air, IUL®) and passive sedimentation were used. For the isolation of bacteria on surfaces and uniforms contact plates (RODAC®) were used. Identification of the microorganisms was performed using Vitek® 2 Systems. The antibiograms were conducted according to the disk diffusion method recommended by CLSI. The surgical center of hospital B presented more than 500 CFU/m3 in aerial microbial load. In the aerial microbiota of the sampled areas of both hospitals, M. luteus, S. haemolyticus and S. hominis spp hominis were the prevalent microorganisms, with a percentage greater than 30%. On the surfaces and uniforms there was a prevalence of M. luteus (40%) and S. hominis spp hominis (20%) among others, and some of the resistant strains were isolated from environments with microbial load within the recommended limits.

A novel polymer coated magnetic porous carbon nanocomposite derived from a metal-organic framework for multi-target environmental pollutants preconcentration.

This study describes the synthesis of a novel polymer (polypyrrole-polythiophene) coated magnetic porous carbon (MPC) composite derived from magnetic metal-organic framework (MOF) and its utilization in multi-target environmental pollutants preconcentration. In this regards, Fe3O4 nanoparticles (NPs) was used as magnetic core and Co-MOF-71 was coated on the surface of the NPs. Afterwards, magnetic MOF (MMOF) was carbonized under nitrogen atmosphere and finally MNC was coated with a polymer layer of the type polypyrrole-polythiophene to obtain the nanocomposite (MPC@PPy-PTh). Magnetic property, structure and morphology of MPC@PPy-PTh were explored via various characterization techniques. Applicability of MPC@PPy-PTh nanoadsorbent was investigated in multi-target environmental pollutants preconcentration using 4-chlorophenol 2-naphtol, 1-amino-2-naphthol, 2,4-dichloroaniline, 3,4-dichloroaniline, benzothiophene and naphthalene as the model analytes. Effect of experimental factors on the preconcentration of target pollutants was explored and optimized systematically. Under the optimized condition, LODs were obtained in the range of 0.06-0.18 µg L-1. The proposed method exhibited linearity within the range of 0.25-500 µg L-1. Repeatability of the new method based on the relative standard deviations (n = 5) was in the range of 3.4-9.0%. Finally, the analytical applicability of the optimized method was investigated in seawater and wastewater samples and satisfactory results were achieved.

Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure.

(1) Background: Small, lightweight, low-cost optical particulate matter (PM) monitors are becoming popular in the field of occupational exposure monitoring, because these devices allow for real-time static measurements to be collected at multiple locations throughout a work site as well as being used as wearables providing personal exposure estimates. Prior to deployment, devices should be evaluated to optimize and quantify measurement accuracy. However, this can turn out to be difficult, as no standardized methods are yet available and different deployments may require different evaluation procedures. To gain insight in the relevance of different variables that may affect the monitor readings, six PM monitors were selected based on current availability and evaluated in the laboratory; (2) Methods: Existing strategies that were judged appropriate for the evaluation of PM monitors were reviewed and seven evaluation variables were selected, namely the type of dust, within- and between-device variations, nature of the power supply, temperature, relative humidity, and exposure pattern (peak and constant). Each variable was tested and analyzed individually and, if found to affect the readings significantly, included in a final correction model specific to each monitor. Finally, the accuracy for each monitor after correction was calculated; (3) Results: The reference materials and exposure patterns were found to be main factors needing correction for most monitors. One PM monitor was found to be sufficiently accurate at concentrations up to 2000 µg/m3 PM2.5, with other monitors appropriate at lower concentrations. The average accuracy increased by up to three-fold compared to when the correction model did not include evaluation variables; (4) Conclusions: Laboratory evaluation and readings correction can greatly increase the accuracy of PM monitors and set boundaries for appropriate use. However, this requires identifying the relevant evaluation variables, which are heavily reliant on how the monitors are used in the workplace. This, together with the lack of current consensus on standardized procedures, shows the need for harmonized PM monitor evaluation methods for occupational exposure monitoring.

Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model.

The real-time detection of pine cones in Korean pine forests is not only the data basis for the mechanized picking of pine cones, but also one of the important methods for evaluating the yield of Korean pine forests. In recent years, there has been a certain number of detection accuracy for image processing of fruits in trees using deep-learning methods, but the overall performance of these methods has not been satisfactory, and they have never been used in the detection of pine cones. In this paper, a pine cone detection method based on Boundary Equilibrium Generative Adversarial Networks (BEGAN) and You Only Look Once (YOLO) v3 mode is proposed to solve the problems of insufficient data set, inaccurate detection result and slow detection speed. First, we use traditional image augmentation technology and generative adversarial network BEGAN to implement data augmentation. Second, we introduced a densely connected network (DenseNet) structure in the backbone network of YOLOv3. Third, we expanded the detection scale of YOLOv3, and optimized the loss function of YOLOv3 using the Distance-IoU (DIoU) algorithm. Finally, we conducted a comparative experiment. The experimental results show that the performance of the model can be effectively improved by using BEGAN for data augmentation. Under same conditions, the improved YOLOv3 model is better than the Single Shot MultiBox Detector (SSD), the faster-regions with convolutional neural network (Faster R-CNN) and the original YOLOv3 model. The detection accuracy reaches 95.3%, and the detection efficiency is 37.8% higher than that of the original YOLOv3.

Embedded systems and the Internet of Things: Can low-cost gas sensors be used in risk assessment of occupational exposure?

The Internet of Things (IoT) explores new perspectives and possible improvements in risk assessment practices and shows potential to measure long-term and real-time occupational exposure. This may be of value when monitoring gases with short-term maximum levels and for time-weighted average (TWA) concentrations used in standard measuring practices. A functional embedded system was designed using low-cost carbon monoxide (CO) electrochemical sensors and long-range-wide-area-network radio communication technology (LoRaWAN) was used to enable internet connectivity. This system was utilized to monitor gas levels continuously in the working atmosphere of an incineration plant over a 2-month period. The results show that stable and long-term continuous data transfer was enabled by LoRaWAN, which proved useful for detecting rapid changes in gas levels. However, it was observed that raw data from the low-cost sensors did not meet the NIOSH accuracy criteria of ± 25% of the estimated true concentration based on field data from a co-located gas detector that met the NIOSH accuracy criteria. The new IoT technologies and CO sensor networks shows potential for remote monitoring of exposure in order to: (1) detect rapid changes in CO and other possible hazardous airborne gases; and (2) show the dynamic range of real-time data that may be hazardous for workers in the sampled areas. While the IoT low-cost sensors appear to be useful as a sentinel for monitoring hazardous atmospheres containing CO, the more useful finding may be showing real-time changes and the dynamic range of exposures, thus shedding light on the transient and toxic nature of airborne hazards. More importantly, the low-cost CO sensors are not a clear substitute for the more costly real-time gas detectors that perform within the NIOSH accuracy criteria.

The application of novel field measurement and field evaluation protocols for assessing health care workers' exposure risk to antineoplastic drugs.

Contamination of multiple antineoplastic drugs (ADs) on work surfaces presents an exposure concern for health care workers. Surface wipe sampling is a recognized method to evaluate the degree of contamination present. Our research team has previously reported on wipe sampling and analytical methods to simultaneously detect 10 commonly used ADs from a single wipe. Our objectives here were: to field test a protocol consisting of the wipe sampling method and an accompanying wipe sample collection tool kit and confirm this protocol can be effectively used by health care workers to assess drug contamination levels in their facilities; and, to confirm the potential for simultaneous exposure to multiple antineoplastic drugs. Three facilities within one health authority in British Columbia, Canada participated in this field study. In collaboration with the site health and safety advisors, up to 25 surfaces within each facility were considered for sampling. Collected wipe samples were analyzed using HPLC-MS/MS to quantify the 10 analyte, resulting in 750 potential analyses. Following the sampling, each of the three facilities' safety advisors provided feedback regarding the usability of the protocols. Among the 72 wipe samples actually collected (or 720 analyses conducted), detectable levels and simultaneous contamination of work surfaces of five of the 10 analytes were found at all three participating sites: 5-fluorouracil, cyclophosphamide, vincristine, paclitaxel, and methotrexate; (range < LoD to 33.0 ng/cm2) with 5-fluorouracil having the highest concentration in every instance. Drug contamination was found on a variety of different work surfaces in pharmacies and patient care areas among all three sites. Users of the sampling protocols were generally satisfied with the wipe sample collection toolkit with some minor suggestions for improvement. Our findings support the hypothesis that health care workers may be simultaneously at risk of exposure to several ADs. Our toolkit was found to be user-friendly and manageable by those who were not experienced in collecting wipe samples to monitor contamination of ADs on the work surfaces in their facilities.