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Here, we analyze critical changes in environmental law enforcement in the Brazilian Amazon between 2000 and 2020. Based on a dataset of law enforcement indicators, we discuss how these changes explain recent Amazon deforestation dynamics. Our analysis also covers changes in the legal prosecution process and documents a militarization of enforcement between 2018 and 2022. From 2004 to 2018, 43.6 thousand land-use embargoes and 84.3 thousand fines were issued, targeting 3.3 million ha of land, and totaling USD 9.3 billion in penalties. Nevertheless, enforcement relaxed and became spatially more limited, signaling an increasing lack of commitment by the State to enforcing the law. The number of embargoes and asset confiscations dropped by 59% and 55% in 2019 and 2020, respectively. These changes were accompanied by a marked increase in enforcement expenditure, suggesting a massive efficiency loss. More importantly, the creation of so-called conciliation hearings and the centralization of legal processes in 2019 reduced the number of actual judgments and fines collected by 85% and decreased the ratio between lawsuits resulting in paid fines over filed ones from 17 to 5%. As Brazil gears up to crack-down on illegal deforestation once again, our assessment suggests urgent entry points for policy action.
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Aplicação da Lei , Controle Social Formal , Brasil , Gastos em Saúde , AudiçãoRESUMO
A reliable method using a QuEChERS approach and liquid chromatography coupled to Q-Orbitrap mass spectrometry was optimized and validated for the quantification of 20 growth promoters in bovine serum. The recoveries ranged from 91.4-114.1%, relative standard deviations varied between 0.3-4.0%, and CCα values were between 0.023-0.350 µg L-1. The developed method was applied in an in vivo study using steers, which were intramuscularly treated with commercial injections containing stanozolol. A rapid metabolization was observed, with a detection window ranging from 3 to 10 days. The stability of incurred stanozolol was confirmed after 240 days at -20 °C and also after 5 freeze-thaw cycles. To the best of our knowledge, this is the first work in which an in vivo study was performed to support the monitoring of stanozolol in bovine serum. In addition, the use of Q-Orbitrap high-resolution mass spectrometry allows for retrospective analysis from a surveillance perspective.
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Estanozolol , Cromatografia Líquida de Alta Pressão/métodos , Estudos Retrospectivos , Espectrometria de Massas/métodos , Cromatografia LíquidaRESUMO
This study evaluated collagen solubility and gene expression of biomarkers for intramuscular collagen (IMCT) deposition and remodeling in the Longissimus muscle of bulls and steers through the finishing phase. Thirty-six Nellore calves were used (18 bulls and 18 steers), and six of each sexual condition were randomly assigned to be harvested at 0, 100, or 200 days on feed (DOF) to evaluate collagen characteristics in different time points throughout the finishing phase. Bulls showed a greater collagen solubility than steers (P = 0.03). The gene expression of fibrogenic markers (TGFß1, COL1A1, and COL3A1) and IMCT remodeling mediators (MMPII, TIMPII, and LOX) were not affected by sexual condition or DOF (P > 0.05). Our data indicate that young Nellore bulls have a higher percentage of soluble intramuscular collagen, possibly due to higher collagen remodeling associated with a faster growth rate and muscle hypertrophy. Moreover, castration and DOF did not modify mRNA levels of fibrogenic and collagen remodeling markers.
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Demand for low lactose milk and milk products has been increasing worldwide due to the high number of people with lactose intolerance. These low lactose dairy foods require fast, low-cost and efficient methods for sugar quantification. However, available methods do not meet all these requirements. In this work, we propose the association of FTIR (Fourier Transform Infrared) spectroscopy with artificial intelligence to identify and quantify residual lactose and other sugars in milk. Convolutional neural networks (CNN) were built from the infrared spectra without preprocessing the data using hyperparameter adjustment and saliency map. For the quantitative prediction of the sugars in milk, a regression model was proposed, while for the qualitative assessment, a classification model was used. Raw, pasteurized and ultra-high temperature (UHT) milk was added with lactose, glucose, and galactose in six concentrations (0.1-7.0 mg mL-1) and, in total, 432 samples were submitted to convolutional neural network. Accuracy, precision, sensitivity, specificity, root mean square error, mean square error, mean absolute error, and coefficient of determination (R2) were used as evaluation parameters. The algorithms indicated a predictive capacity (accuracy) above 95% for classification, and R2 of 81%, 86%, and 92% for respectively, lactose, glucose, and galactose quantification. Our results showed that the association of FTIR spectra with artificial intelligence tools, such as CNN, is an efficient, quick, and low-cost methodology for quantifying lactose and other sugars in milk.
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An in vivo study was performed in order to evaluate the depletion time of stanozolol and its main metabolites using naturally incurred urine sample collected after the administration of intramuscular injections in 12 steers. A stability study was also carried out to investigate the influence of the storage period and the freeze-thaw cycles. A fast parent drug metabolization was observed, because within 6 h after drug administration, the signal of the metabolite 16ß-hydroxystanozolol was predominant. After the second drug administration, a detection window of 17 days was obtained. The stability was studied using ANOVA, in which a storage condition of -20 °C proved stable during 240 days, which was also confirmed after 5 freeze-thaw cycles.
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Estanozolol , Animais , Bovinos , Cromatografia Líquida de Alta Pressão , Injeções Intramusculares , Estanozolol/urinaRESUMO
Spectrofluorimetry combined with multiway chemometric tools were applied to discriminate pure Aroeira honey samples from samples adulterated with corn syrup, sugar cane molasses and polyfloral honey. Excitation emission spectra were acquired for 232 honey samples by recording excitation from 250 to 500 nm and emission from 270 to 640 nm. Parallel factor analysis (PARAFAC), partial least squares discriminant analysis (PLS-DA), unfolded PLS-DA (UPLS-DA) and multilinear PLS-DA (NPLS-DA) methods were used to decompose the spectral data and build classification models. PLS-DA models presented poor classification rates, demonstrating the limitation of the traditional two-way methods for this dataset, and leading to the development of three-way classification models. Overall, UPLS-DA provided the best classification results with misclassification rates of 4% and 8% for the training and test sets, respectively. These results showed the potential of the proposed method for routine laboratory analysis as a simple, reliable, and affordable tool.
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Mel , Análise Discriminante , Contaminação de Medicamentos , Análise Fatorial , Contaminação de Alimentos/análise , Mel/análise , Análise dos Mínimos QuadradosRESUMO
In this work multivariate strategies were employed in order to highlight new potential biomarkers of interest to detect the exogenous treatment of steers intramuscularly treated with boldenone undecylenate. Serum samples collected from treated (n = 4) and control (n = 8) crossbred animals of varying ages and weights were extracted using a simple sample preparation procedure based on salt assisted liquid-liquid extraction. Data acquisition was performed using liquid chromatography and Q-Exactive™ Orbitrap mass spectrometry. Data processing and treatment were performed using two non-targeted workflows: (1) Compound Discoverer software and (2) XCMS package on the open-source R software combined with MetaboAnalyst. Three potential biomarkers were highlighted taking into account the chromatographic shapes, the feature location on the generated s-plots, the fold change, the adjusted p values, the coefficient of variation in the QC samples and the area under the ROC curves. Predicted formulas based on mass accuracy, structural composition and spectra similarity were proposed. A robust statistical model to predict the boldenone treatment was further developed based on the weighted abundances of the selected biomarkers. The requirements for screening methods were successfully fulfilled, together with a wider detection window in comparison with the monitoring of the deconjugated metabolite boldenone, although biomarker identification studies are still ongoing.
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Cromatografia Líquida de Alta Pressão , Animais , Biomarcadores , Bovinos , Cromatografia Líquida , Espectrometria de Massas , Testosterona/análogos & derivadosRESUMO
SUMMARY Introduction: Honey is a natural substance produced by bees mainly from flower nectar with high nutritional value. However, many commercialized samples are adulterated or falsified. Method: We bought twelve honey samples in markets in the city of Betim (Brazil) and analyzed their acidity, pH, electrical conductivity, insoluble matter, ashes, moisture content, presence of mesophile bacteria, molds, yeasts, total coliforms, Salmonella spp. and the presence of pollen grains. Results: Considering all honey samples, the average pH was 3.8 ± 0.5 and the average free acidity was 29.8 ± 6.6 mEq/kg. Considering acidity, we found the average of lactonic acidity 6.4 ± 2.4 mEq/kg and a total average acidity of 36.2 ± 6.9 mEq/kg. The average moisture content was 19.4 ± 1.0 %, the average electrical conductivity was 391.6 ± 168.6 μS/ cm, the average amount of ashes was 0.5 ± 0.8 % and the average insoluble matter was 0.08 ± 0.02 %. Only the moisture was significantly different between the two groups and ten honey samples had pollen grains. Conclusions: The quality parameters of the labeled and unlabeled samples were not significantly different, although two samples of unlabeled honey were fraudulent, mainly due to the absence of pollen grains. Identifying the presence or absence of pollen in the samples is a safe, economical, and reliable first step for verifying the authenticity of the honey.
RESUMEN Introducción: La miel es una sustancia natural producida por las abejas, principalmente, a partir del néctar de flores con alto valor nutricional. Sin embargo, muchas muestras comercializadas están adulteradas o falsificadas. Método: Compramos doce mieles en mercados de la ciudad de Betim (Brasil) y analizamos su acidez, pH, conductividad eléctrica, materia insoluble, cenizas, contenido de humedad, presencia de bacterias mesófilas, mohos, levaduras, coliformes totales, Salmonella spp. y la presencia de granos de polen. Resultados: Considerando todas las muestras de miel, el pH promedio fue de 3,8 ± 0,5 y la acidez libre promedio fue de 29,8 ± 6,6 mEq/kg. Considerando la acidez, encontramos el promedio de acidez lactónica 6,4 ± 2,4 mEq/kg y una acidez promedio total de 36,2 ± 6,9 mEq/kg. El contenido de humedad promedio fue 19,4 ± 1,0 %, la conductividad eléctrica promedio fue 391,6 ± 168,6 μS/crn, la cantidad promedio de cenizas fue 0,5 ± 0,8 % y la materia insoluble promedio fue 0,08 ± 0,02 %. Sólo la humedad fue significativamente diferente entre los dos grupos y diez de las muestras de miel tenían granos de polen. Conclusiones: Los parámetros de calidad de las muestras etiquetadas y no etiquetadas no fueron significativamente diferentes, aunque dos muestras de miel no etiquetadas fueron fraudulentas, debido a la ausencia de granos de polen. Identificar la presencia o ausencia de polen en las muestras es un primer paso seguro, económico y confiable para verificar la autenticidad de la miel.
RESUMO Introdução: O mel é uma substância natural produzida pelas abelhas principalmente a partir do néctar da flor com alto valor nutritivo. No entanto, muitas amostras comercializadas são adulteradas ou falsificadas. Método: Compramos doze méis em mercados da cidade de Betim (Brasil) e analisamos sua acidez, pH, condutividade elétrica, sólidos insolúveis, cinzas, teor de umidade, presença de bactérias mesófilas, bolores, leveduras, coliformes totais, Salmonella spp. e a presença de grãos de pólen. Resultados: Considerando todas as amostras de mel, o pH médio foi de 3,8 ± 0,5 e a acidez livre média foi de 29,8 ± 6,6 mEq/kg. Considerando a acidez, encontramos a média de acidez lactô-nica de 6,4 ± 2,4 mEq/kg e uma acidez média total de 36,2 ± 6,9 mEq/kg. O teor de umidade médio foi de 19,4 ± 1,0 %, a condutividade elétrica média foi 391,6 ± 168,6 μS/cm, a quantidade média de cinzas foi 0,5 ± 0,8 % e a matéria insolúvel média foi 0,08 ± 0,02 %. Apenas a umidade foi significativamente diferente entre os dois grupos e dez das amostras de mel apresentaram grãos de pólen. Conclusões: Os parâmetros de qualidade das amostras rotuladas e não rotuladas não foram diferentes, embora duas amostras de mel não rotulado fossem fraudulentas, principalmente devido à ausência de grãos de pólen. Identificar a presença ou ausência de pólen nas amostras é um primeiro passo seguro, económico e confiável para verificar a autenticidade do mel.
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This work involved a systematic comparison between serum and urine for the monitoring of anabolic androgenic steroids in livestock. Incurred samples were collected over 120 days from crossbred steers treated with intramuscular injections containing boldenone undecylenate. Independent high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) methods were used for the assessment of the respective detection windows, which were larger for serum samples. Both matrices presented adequate performance in terms of long-term stability, assessed using an isochronous approach during 196 days at -20 °C and for five freeze-thaw cycles. The effectiveness of the enzymatic hydrolysis reaction using Helix pomatia juice was also compared. The calculated concentrations in serum samples were not statistically influenced by the deconjugation reaction. On the other hand, urine hydrolysis conditions were studied using a 33 Box-Behnken Design, in which a central point condition led to a satisfactory deconjugation performance. It could be observed that serum exhibited equivalent or better performance than urine for most of the evaluated criteria; thus, its inclusion in the regulatory analysis of boldenone in cattle is supported.
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Anabolizantes , Espectrometria de Massas em Tandem , Animais , Bovinos , Cromatografia Líquida de Alta Pressão , Hidrólise , Testosterona/análogos & derivadosRESUMO
The emergence of antibiotic-resistant bacteria, especially carbapenem-resistant Acinetobacter baumannii (CRAB), together with relative stagnation in the development of effective antibiotics, has led to enormous health and economic problems. In this study, we aimed to describe the antibacterial spectrum of LyeTx I mnΔK, a short synthetic peptide based on LyeTx I from Lycosa erythrognatha venom, against CRAB. LyeTx I mnΔK showed considerable antibacterial activity against extensively resistant A. baumannii, with minimum inhibitory and bactericidal concentrations ranging from 1 to 16 µM and 2 to 32 µM, respectively. This peptide significantly increased the release of 260 nm-absorbing intracellular material from CRAB, suggesting bacteriolysis. LyeTx I mnΔK was shown to act synergistically with meropenem and colistin against CRAB. The cytotoxic concentration of LyeTx I mnΔK against Vero cells (CC50 = 55.31 ± 5.00 µM) and its hemolytic activity (HC50 = 77.07 ± 4.00 µM) were considerably low; however, its antibacterial activity was significantly reduced in the presence of human and animal serum and trypsin. Nevertheless, the inhalation of this peptide was effective in reducing pulmonary bacterial load in a mouse model of CRAB infection. Altogether, these results demonstrate that the peptide LyeTx I mnΔK is a potential prototype for the development of new effective and safe antibacterial agents against CRAB.