Monitoring In Brazil Research Articles

Bioassay tray for assessing susceptibility of Liriomyza sativae Blanchard (Diptera: Agromyzidae) to reduced-risk insecticides and resistance monitoring in Brazil

Bioassay tray for assessing susceptibility of Liriomyza sativae Blanchard (Diptera: Agromyzidae) to reduced-risk insecticides and resistance monitoring in Brazil

Cultural adaptation and validation of the Ghent global IAD monitoring tool (GLOBIAD-M) for Brazilian Portuguese

BackgroundIncontinence-associated dermatitis (IAD) poses a significant challenge for individuals experiencing incontinence, characterized by irritative contact dermatitis due to prolonged exposure to urine and/or faeces. ObjectiveThis study aimed to culturally adapt the Ghent Global IAD Monitoring Tool – GLOBIAD-M to Brazilian Portuguese and to assess the adapted version's measurement properties quality. MethodA clinimetric study was conducted, comprising cultural adaptation and psychometric assessment. Cultural adaptation followed international guidelines, while psychometric properties were evaluated for content validity, inter-rater reliability, and correlation with other variables (thermography). Inter-rater reliability was assessed through clinical and photographic evaluations. The study samples included linguists and, IAD specialists, nurses, and adult patients with IAD according to the cultural adaptation or psychometric evidence assessment. ResultThe process of cultural adaptation resulted in a cumulative coefficient of variation ratio (CVR) of 0.66. Subsequently, the study included 57 patients and 57 nurses for clinical assessments, totalling 166 evaluations of IAD. The inter-rater reliability among nurses was deemed satisfactory, with a Gwet coefficient of 0.77. Moreover, out of 215 photographic assessments conducted by 54 nurses, there was a 92.1 % concurrence in the categorization of IAD. Furthermore, thermography analysis revealed significant temperature differences between healthy individuals and those with IAD, particularly in patients categorized under IAD Cat. 1B, showing a difference of 1.90 °C. Conclusionand Impact on Clinical Practice: The results confirm the availability of the GLOBIAD-M in its Brazilian Portuguese version. This tool will allow health professionals to obtain a standardized IAD classification and monitoring in Brazil, enhancing its diagnostic accuracy and aiding clinical decision-making.

Use of Statistical Tools and Artificial Intelligence for Hydrosedimentological Analysis in Experimental Units in Semiarid Brazil

Objective: To compare statistical and artificial intelligence tools to assist in the analysis and influence of hydrosedimentological variables on runoff generation and sediment yield in experimental units in the Brazilian semiarid region. Theoretical framework: The increasing frequency of extreme weather events in areas prone to natural disasters has led to economic, social, and loss of life due to the lack of urban planning, disorderly occupation in densely populated areas, intensive use of natural resources, and difficulty in maintaining and conserving natural ecosystems (CARMO & LIMA, 2020). Continuous monitoring of hydrosedimentological processes is necessary for natural resource planning and management. There is a need for expanding long-term environmental monitoring in Brazil, which is not simple and costly. In hard-to-reach areas, investment in tools and variable analysis for secure estimation of flow and erosion is necessary (AIRES, 2022). Method: Data obtained from the São João do Cariri Experimental Basin - SJCEB (13.6 km²) were used through conventional rain gauges and automatic data collection platforms from three micro-watersheds (0.16 – 1.63 ha) and two experimental plots (100 m²) located in the semiarid region of Paraíba, Northeast Brazil. For the analyses, 147 rain events that generated surface runoff in at least one of the five experimental units of the SJCEB were used, with data on area (m²), vegetation cover (0 no cover and 1 with vegetation cover over the entire area), average slope (%), daily precipitation (mm), period without rainfall (days), runoff depth (mm), and sediment yield (kg.ha⁻¹), from 2001 to 2008. The statistical and artificial intelligence tools used in the analyses were: simple linear regression, Pearson correlation, and Self-Organizing Maps (SOM). The models were implemented in the R programming language. Results and conclusion: In the statistical summary of the studied variables, precipitation ranged from 2.2 mm to 133.0 mm, with a mean of 21.1 mm. The period without rainfall ranged from 0 to 240 days, with an average of 16.2 days. Slope varied from 3.40% to 7.50%, with a mean of 5.7%. The average vegetation cover was 0.44, with a median of 0.60. The Pearson correlation analysis revealed that precipitation showed a positive and significant correlation with surface runoff and sediment yield variables, ranging from moderate to strong. Simple linear regression was unable to provide satisfactory answers to assist in the analysis of runoff and sediment yield, therefore considered inefficient for hydrosedimentological regionalization. The unsupervised SOM network, by presenting complex relationships among the studied variables, detected that sediment yield is particularly influenced by the interactions with precipitation, vegetation cover, and slope. Thus, it can be inferred that models based on unsupervised neural networks are attractive alternatives, as they were able to extract complex and nonlinear relationships among the analyzed variables. When there are complex cause-and-effect relationships between variables of hydrosedimentological processes, the use of nonlinear and multivariate models, such as artificial neural networks. Implications of the research: Manipulations in experimental areas have favored the measurement of flow and quantification of sediment yield. However, the high costs to maintain physical structures and the presence of specialized personnel for monitoring, processing, and dissemination of collected data are factors that may make it impractical to maintain and expand environmental monitoring networks in Brazil. In ungauged areas, the prediction of flow and erosion is necessary, and can be performed through mathematical, statistical, or artificial intelligence tools that facilitate the identification of priority areas for intervention. Manipulations in experimental areas have favored the measurement of runoff and sediment yield, but the high costs of maintaining the physical structures and the presence of specialized personnel to monitor, process and disseminate the collected data are factors that make maintenance and the expansion environmental monitoring networks in Brazil. In non-instrumented areas, forecasting and analysis of runoff and erosion becomes necessary, using mathematical, statistical or artificial intelligence tools that favor the identification of priority areas for intervention. Originality/value: Use of different statistical and artificial intelligence tools for hydrosedimentological regionalization in small experimental units in the Brazilian semiarid region, with emphasis on the application of unsupervised learning neural networks (SOM).

Beached seabirds as plastic biomonitors in Brazil from the Beach Monitoring Project of the Santos Basin (PMP-BS)

Bioindicator species are useful to monitor wildlife exposure to plastic pollution, and responses to plastic leakage and policy interventions. Here we explore the biomonitoring potential of different seabird and shorebirds species across six years of monitoring in Brazil. Using the necropsy stranding database of the Beach Monitoring Project of the Santos Basin (PMP-BS), we evaluated i) the frequency of birds-plastic interactions in Brazil; ii) whether plastic interactions have changed through time and in different coastal regions; and iii) potential bioindicators for monitoring the exposure of seabirds to plastic in the nearshore South Atlantic Ocean. We found 37 species that had ingested plastic, including ten new records, found that the rates of tube-nosed seabirds increased through time, and suggested two potential species. We discuss the potential for biomonitoring marine pollution in the South Atlantic Ocean using PMP-BS, providing a scheme for a better plastic pollution monitoring in Brazil.

Electronic Surveillance and Social Stigma: Perspectives on People Monitoring in Brazil

Electronic Surveillance and Social Stigma: Perspectives on People Monitoring in Brazil

Comparison between drone (UAV) and open satellite imagery for brazilian geographically isolated wetlands analysis

In Brazil, where approximately 20% of the territory is covered by wetlands, these environments serve various socio-environmental roles, such as water storage, aquifer recharge, and carbon sequestration. Despite their importance, wetland ecosystems have been adversely affected globally, primarily due to agricultural expansion. Small inland wetlands in the Paulista Peripheral Depression are numerous, characterized by a circular-oval shape, seasonal hydroperiods, and legal protection or proximity to agriculture, notably sugarcane fields. Addressing the challenge of managing small inland wetlands requires integrating long-term monitoring with qualitative and quantitative data at various spatial and temporal scales. This study employs non-invasive imaging techniques for surface characterization, emphasizing the importance of low-cost monitoring in Brazil. The study compares imaging of a small inland wetland in São Paulo's Peripheral Depression using different resolutions from the CBERS 04A satellite, Planet satellite, and UAV DJI Phantom 4 PRO V2. The comparison assesses the effectiveness of different resolutions in capturing wetland dynamics. The satellite data proves extremely effective for delimitation and identification studies of wetlands, while UAVs show excellent results for monitoring. This observation highlights the complementarity of these technologies in addressing environmental issues, where satellite data provides a comprehensive and stable view for analyzing large areas, while UAVs offer a more detailed and dynamic perspective in specific monitoring activities. The combined use of these platforms can enhance the ability to monitor and manage ecosystems like wetlands, enabling a more comprehensive understanding of their dynamics and contributing to conservation and sustainable management strategies.

Large‐Scale Groundwater Monitoring in Brazil Assisted With Satellite‐Based Artificial Intelligence Techniques

AbstractHere, we develop and test an artificial intelligence (AI)‐based approach to monitor major Brazilian aquifers. The approach combines Gravity Recovery and Climate Experiment (GRACE) data and ground‐based hydrogeological measurements from Brazil's Integrated Groundwater Monitoring Network at hundreds of wells distributed in 12 aquifers across the country. We tested model ensembles based on three AI approaches: Extreme Gradient Boost, Light Gradient Boosting Model and CatBoost, followed by a Linear Regression step. The approach is further boosted with wavelet and seasonal decomposition processes applied to GRACE data. To determine the AI‐based model's sensitivity to data availability, we propose four experiments combining hydrogeological measurements from different aquifers. Groundwater storage (GWS) estimates from the Global Land Data Assimilation System (GLDAS) are used as benchmark. A sensitivity analysis shows that the LR‐based model ensemble is the best suited and to reproduce GWS change in all studied Brazilian aquifers. Results show that the proposed approach outperforms GLDAS in all experiments, with an root mean square error (RMSE) value of 2.68 cm for the experiment that covers all monitored wells in Brazil. GLDAS resulted in RMSE = 6.76 cm. Using our AI model outputs, we quantified the GWS change of two major aquifers, Urucuia and Bauru‐Caiuá, over the past two decades: −31 and −6 km3, respectively. Water loss is driven by a prolonged drought across most of the country and intensification of groundwater pumping for irrigation. This study demonstrates that combining satellite data and AI can be a cost‐effective alternative to monitor poorly equipped aquifers at the continental scale, with possible global replicability.

The Importance of Entomo-Virological Investigation of Yellow Fever Virus to Strengthen Surveillance in Brazil.

The largest outbreak of sylvatic yellow fever virus (YFV) in eight decades was recorded in Brazil between 2016-2018. Besides human and NHP surveillance, the entomo-virological approach is considered as a complementary tool. For this study, a total of 2904 mosquitoes of the Aedes, Haemagogus and Sabethes genera were collected from six Brazilian states (Bahia, Goiás, Mato Grosso, Minas Gerais, Pará, and Tocantins) and grouped into 246 pools, which were tested for YFV using RT-qPCR. We detected 20 positive pools from Minas Gerais, 5 from Goiás, and 1 from Bahia, including 12 of Hg. janthinomys and 5 of Ae. albopictus. This is the first description of natural YFV infection in this species and warns of the likelihood of urban YFV re-emergence with Ae. albopictus as a potential bridge vector. Three YFV sequences from Hg. janthinomys from Goiás and one from Minas Gerais, as well as one from Ae. albopictus from Minas Gerais were clustered within the 2016-2018 outbreak clade, indicating YFV spread from Midwest and its infection in a main and likely novel bridging vector species. Entomo-virological surveillance is critical for YFV monitoring in Brazil, which could highlight the need to strengthen YFV surveillance, vaccination coverage, and vector control measures.

WCN23-1177 Practice patterns of Chronic Kidney Disease Screening and Monitoring in Brazil: A Nationwide Laboratory-based Analysis

WCN23-1177 Practice patterns of Chronic Kidney Disease Screening and Monitoring in Brazil: A Nationwide Laboratory-based Analysis

Trabalho a céu aberto: passado, presente e futuro sobre exposição ocupacional ao calor

Abstract Given the current climate change and high-temperature impact on human health, especially due to global warming, actions for heat prevention focused on outdoor workers are relevant. This essay presents the results of recent research and highlights technological innovations for heat monitoring in Brazil. Also, it reflects on the future of outdoor work given climate change. Outdoor work is generally characterized as heavy, leading to higher metabolic heat production. However, Occupational Safety and Health have made few efforts to find alternatives to minimize or eliminate heat impact on workers. Moreover, the worker’s protection alternatives are reduced. WBGT Monitor is presented as a technological innovation for remote heat monitoring in outdoor environments. Despite the control measures provided to workers subjected to heat, global warming demands innovative interventions and special exposure controls at outdoor workplaces. Thus, an increased commitment to knowledge production to elaborate or improve public policy is desirable.

Monitoramento da pesca no Brasil: como cumprir a agenda 2030 sem estatísticas da pesca?

Abstract Every activity that involves exploitation of natural resources, such as fishing, needs to be organized and conducted based on information from monitoring programs to allow continuous evaluation. With the increasing fishing pressure in Brazil, the understanding of the importance of fisheries monitoring programs and how they can inform and assist in conservation decision-making remains limited. Based on the literature on fisheries and participatory conservation, we call attention to the need to generate information on the national fisheries sector in order to improve fisheries in the country. Given the context of the need to generate information on fishing stocks under exploitation, as well as to identify potential alternative fisheries and carry out various sectoral analyses in compliance with the 2030 Agenda for Sustainable Development, we present and discuss in the present paper the lack of a system of continuous fishing monitoring in Brazil and its effects on the fisheries sustainability in the country.

Environmental impacts on marine energy: collision risks for marine animals and priority species for monitoring in Brazil

ABSTRACT Brazil has great potential for the development of technologies for the conversion of marine energy from waves and tides, which raises the discussion about the possible environmental impacts of these projects. This article seeks to synthesize knowledge about the risks of collision of marine animals, such as mammals, fish and birds, with marine renewable energy (MRE) devices, as well as to identify priority species for environmental monitoring along the Brazilian coast. The risk of marine mammals colliding with MRE devices is influenced by regional and behavioral factors. The risk of collision in a fish community is influenced by the avoidance behavior, the distribution of fish in the MRE sites and the stages of the enterprise (installation, operation and maintenance). Seabird collision risk is influenced by species behavior (geographical distribution, seasonal habitat use, diving time and depth) and the location of MRE structures (surface and/or water column). The survey of priority species for monitoring the risk of collision with MRE devices in Brazil consisted of 5 species of marine mammals, 13 taxa of seabirds, 5 species of endangered sea turtles and 18 species or groups of species of fish of economic importance to the country. The research review did not record the occurrence of collisions with marine animals. However, this does not mean that they did not occur, but that they may not have been observed due to monitoring challenges. The study concluded that research on the interaction of marine animals with MRE devices should be encouraged, even in prototypes and non-commercial projects, in order to reduce knowledge gaps and support the development of MRE in an environmentally sound manner. Keywords: Marine renewable energy, Collision risk, Species, Marine animals.

Participatory assessment to define indicators for monitoring water-based payment of ecosystem services programs in Brazil

The cascade model is a commonly applied framework to evaluate ecosystem services provision, highlighting their benefits to society and assigning non-monetary and monetary values to these services. Adapting this model, we present a methodology to establish the most suitable indicators for monitoring Payment for Ecosystem Services (PES) programs related to water resources in Brazil. Through a participatory process, a set of ecosystem functions indicators were assigned for each ecosystem service (ES) considered in the study. The indicators were then classified following these criteria: clarity, viability, sensitivity, and relevance. The indicators were organized by their final score according to each evaluated criterion. The results demonstrated that “clarity” and “relevance” criteria were those most important for the experts to choose an indicator. In general, we could also observe a preference for analytical and well-established indicators in the literature for all ES evaluated. The indicators list presented can support the PES program monitoring in Brazil. Additionally, the methodology developed can be easily applied in other areas and provide the definition of the most suitable indicators to monitor water-based PES in different Brazilian contexts.
 Keywords:cascade model, ecosystem functions, ecosystem service indicators, tropical areas.

Occurrence of Pharmaceuticals and Endocrine Disrupting Compounds in Brazilian Water and the Risks They May Represent to Human Health.

The risks of pharmaceuticals and endocrine disrupting compounds (P&EDC) to the environment and human health are a current topic of interest. Hundreds of P&EDC may reach the environment, hence, there is a need to rank the level of concern of human exposure to these compounds. Thus, this work aimed at setting a priority list of P&EDC in Brazil, by studying their occurrence in raw and drinking water, calculating health guideline values (GV), and estimating the risks of population exposure to water intake. Data on the Brazilian pharmaceutical market as well as published data of the monitoring of Brazilian natural and drinking water have been collected by means of an exhaustive literature review. Furthermore, many foreign data were also collected to enable a comparison of the values found in Brazilian studies. A list of 55 P&EDC that have the potential to be found in Brazilian water is proposed, and for 41 of these a risk assessment was performed by estimating their margin of exposure (ME), by considering their occurrence in drinking water, and guideline values estimated from reported acceptable daily intake (ADI) data. For seven compounds the risk was deemed high (three estrogens and four anti-inflammatories), whereas for another seven compounds, it was regarded as an ‘alert’ situation. Although such risk analysis is conservative, since it has been calculated based on the highest reported P&EDC concentration in drinking water, it highlights the need to enhance their monitoring in Brazil to strengthen the database and support decision makers. An analysis of the occurrence of antimicrobial resistance agents (antibiotics, resistant bacteria, and resistance genes) in surface waters was also carried out and confirmed that such agents are present in water sources throughout Brazil, which deserves the attention of policy makers and health agents to prevent dissemination of antimicrobial resistance through water use.

Accruals mispricing versus risk: Analyzing the influence of external monitoring in Brazil

AbstractIn this paper, we examine the role of external monitoring as an alternative mechanism of corporate governance pertaining to the risk and mispricing of accruals in the Brazilian market. The results provide evidence of the accruals anomaly for companies with low external monitoring and evidence that is stronger when evaluating the discretionary component of accruals. Our analysis does not support the conclusion that total and discretionary accruals represent price risk factors, which suggests that the evidence of anomaly results from mispricing. Our evidence contributes to the growing literature on accruals pricing in emerging markets, by adding elements such as the influence of external monitoring and the level of investor sophistication, hereby represented by market analysts and institutional investors. Our study provides additional evidence that the presence of these intermediary agents creates an external layer of control capable of contributing positively to the process of disclosure and pricing of financial information. Thus, the role of such intermediaries as external monitors in emerging markets can be potentially significant for correctly pricing accruals. While Brazil has its own unique institutional characteristics, our findings confirm the evidence obtained for other countries.

Análise de séries temporais de focos de calor em biomas brasileiros utilizando o Grafo de Visibilidade Horizontal

As queimadas são processos complexos que podem ter causas naturais ou serem resultado da interferência humana. O efeito do fogo em um ecossistema varia de acordo com sua sensibilidade, mas a recorrência do fogo pode afetar o equilibrio ambiental e a saúde humana. Buscando reduzir os efeitos negativos das queimadas, faz-se necessário monitorar sua ocorrência e compreender sua dinâmica. No Brasil, o monitoramento é realizado via satélite, com que se detectam os focos de calor. Esse processo é realizado pelo Instituto Nacional de Pesquisas Espaciais (INPE), que disponibiliza os dados utilizados neste trabalho. Com o objetivo de estudar a variabilidade temporal das queimadas nos biomas Amazônia, Cerrado, Caatinga e Mata Atlântica, utiliza-se neste trabalho o método Grafo de Visibilidade Horizontal, com que se transformam as séries temporais de focos de calor desses biomas em redes complexas. Delas, extraem-se as medidas topológicas com as quais é possível avaliar se a dinâmica que governa cada rede gerada representa um processo estocástico ou caótico. Tais medidas são: o Coeficiente λ da distribuição de grau do nó, o Coeficiente de Agrupamento e o Comprimento Médio do Caminho. Os resultados obtidos mostraram que as propriedades topológicas das redes variam de acordo com o número de focos de calor e com a relação (n° de focos de calor)/(área do bioma). A dinâmica de queimadas apresentou características de um processo estocástico correlacionado para os biomas Amazônia, Cerrado e Mata Atlântica, e um processo caótico para o bioma Caatinga.

Fine particles as a public health indicator in Brazil: from monitoring to modeling

The study of fine particles (PM2.5) and its relationship with health has not been much explored in Brazil. Only with Resolution CONAMA 491/2018 that PM2.5 was nationally considered a pollutant of interest, while the World Health Organization brings guidelines for its environmental concentration since 2006. PM2.5 monitoring in Brazil is still restricted to few Southeast municipalities. From Brazilian time series epidemiological studies that studied PM2.5 and its relationship with health, mainly due to respiratory causes, air quality modeling was mostly employed. This paper aims to survey epidemiological studies already carried out for PM2.5 in Brazil, discussing the use of monitored and modeled data for this purpose. The use of relative risks to estimate excess mortality and morbidity is also evidenced as a direct measure to quantify the benefits associated with air quality improvement, and an estimate for Brazilian municipalities is performed. Finally, the importance of well-designed emission control strategies is emphasized so that the health benefits of improving air quality are indeed significant.

Applying a pan-flavivirus RT-qPCR assay in Brazilian public health surveillance.

The aim of this study was to improve flavivirus field monitoring in Brazil using a reliable probe-based RT-qPCR assay. Standard flavivirus strains were employed to evaluate the performance of the assay, and its applicability was evaluated using 235 stored pools of Culicidae samples collected between 1993 and 1997 and in 2016. Flavivirus species were identified by sequencing. Sixteen (6.8%) samples tested positive: Ilheus virus, Iguape virus, and Saint Louis encephalitis virus were identified in historical specimens from 1993-1994, while insect-specific flaviviruses were detected in the samples from 2016. This approach was demonstrated to be accurate for flavivirus detection and characterization, and it can be successfully applied for vector surveillance and for monitoring and discovery of insect specific flaviviruses.

Dry Sand Quality: The Case Study of a Touristic Beach from Rio de Janeiro, Brazil

Coastal contamination became a growing public health concern. Enteric illness outbreaks, and the occurrence of dermatitis and mycoses during the summer season in leisure areas, were usually related to seawater pollution. Pathogenic microorganisms can reach coastal areas through sewage discharges, compromising marine water, and beach quality. Although sand transmission of enteric illness is still unclear, there is an expressed concern that sand may act as reservoirs or vectors for humans infection. In this context, the main hypotheses of this study were: (i) fecal coliforms density changes within beach compartments; (ii) dry sand is the most contaminated beach compartment; (ii) fecal coliforms densities are within international standard limits for sand. Therefore, this case study quantified and compared within three months total fecal bacteria (TC) and thermotolerant coliforms (TEC) densities in seawater, wet, and dry sand of a chosen touristic beach from Rio de Janeiro, Brazil. Furthermore, to contribute to coastal beach management, sand contamination data surveyed were compared with the standard limits ruling worldwide until April 2018 to check suitableness. Vermelha beach should be considered as a reference beach for sand monitoring in Brazil. Despite being a buffer zone from the MONA Pão Açucar conservation unit, it is subjected to intense touristic pressure. Even though, fecal bacteria densities quantified in Vermelha beach were within the standards of “excellent” quality sand and water according to current legislation/guidelines. However, dry sand was the most contaminated compartment, followed by seawater and wet sand. The bacterial density in dry sand was up to 4,600 times higher than wet sand. Except for Rio de Janeiro city, recreational guidelines for beach quality is exclusive for seawater contamination. There are no established parameters for recreational beach sand classification, only recommendations, including Portugal. Monitoring recreational beach dry sand is critical to reducing the risk of beachgoer exposure to pathogens.

Characterization of an extrapolation chamber in beta radiation beams and Monte Carlo modelling

At the Calibration Laboratory (LCI) of the IPEN/CNEN, studies are in development on the establishment of a standard composed by the beta radiation sources for the dosimetry and calibration for personal monitoring in Brazil. For this purpose is used the Böhm extrapolation chamber (PTW model 23392). This chamber was already characterized at LCI in 90Sr/90Y beams using two different entrance windows: one of aluminized Mylar and another of PET (polyethylene terephthalate) known as Hostaphan. In this work, this extrapolation chamber was characterized in 85Kr and 147Pm beams. All tests were carried out with the reference 90Sr /90Y source, for comparison purposes. The Monte Carlo code MCNP5 code was used to obtain an extrapolation chamber and the BSS2 system sources computational model, based on the determination of the absorbed dose rate. Saturation curves, ion collection efficiency, ion recombination, polarity effect, stability of response, null depth, linearity of response, variation of response as a function of source-detector distance, extrapolation curves, correction factors and absorbed dose rates were obtained. The difference between the experimental absorbed dose rates and those obtained using the Monte Carlo model, compared to those from the calibration certificates, was less than 1.9% for the 108 histories for each BSS2 system source. All results of the performed tests are within the limits of the international recommendations. The results for the 90Sr/90Y source were in good agreement with previous works performed at LCI. These results are suitable for the establishment of a standard instrument for the dosimetry and calibration of beta radiation sources and detectors in the LCI/IPEN. This standard will allow the calibration of detectors in beta radiation beams in dosimetry services in Brazil.