DSpace Coleção: Artigo em periódico indexado (CPAA)

Addition of Lippia sidoides essential oil to tilapia diet: performance analysis, blood parameters, and challenges of air exposure and experimental infection.

Thu, 01 Jan 2026 00:00:00 GMT

Título: Addition of Lippia sidoides essential oil to tilapia diet: performance analysis, blood parameters, and challenges of air exposure and experimental infection. Autoria: ANDRADE, J. I. A. de; FERREIRA, G. B.; KOPITSKI, P.; SILVA, E. da; MARTINS, M. L.; CHAVES, F. C. M.; MENDES, R. E.; JATOBÁ, A. Conteúdo: This study evaluated the effects of Lippia sidoides essential oil (LSEO) as a growth and health promoter for juvenile tilapia subjected to stress induced by air exposure and experimental infection with Aeromonas hydrophila. Juvenile were allocated to 15 tanks (in triplicate) and fed diets containing 0.0% (Control), 0.05%, 0.1%, 0.2%, or 0.4% LSEO for 33 days. For the air exposure challenge, five fish from each tank were exposed to air for five minutes after the feeding period. Blood samples were collected for hematological analysis. For the infection challenge, six fish from each tank were intraperitoneally inoculated with 100 µL of A. hydrophila and monitored for ten days. Hematological and histomorphometric parameters were assessed. The results indicated that the 0.4% LSEO supplementation reduced feed conversion ratios (P < 0.05). Before the challenges, LSEO concentrations influenced total counts of neutrophils, basophils, and monocytes (P < 0.05). After the air exposure and infection challenges, no significant differences were observed among treatments for these parameters (P > 0.05). Regarding hematimetric indices, all parameters were affected by LSEO concentrations prior to the challenges (P < 0.05). Although LSEO supplementation improved feed conversion, it did not mitigate the hematological alterations caused by the stress challenges.

Incorporation of kombucha bacterial cellulose to produce tomato leathers via cast-tape drying.

Thu, 01 Jan 2026 00:00:00 GMT

Título: Incorporation of kombucha bacterial cellulose to produce tomato leathers via cast-tape drying. Autoria: SOUZA, F. R. de; SIMAO, R. D. S.; SQUINELLO, D. C.; LIMA, L. M. F.; LAURINDO, J. B.; VALENCIA, G. A. Conteúdo: Bacterial cellulose from kombucha production is a by-product with a slight sour taste and potential food applications. The current research aimed to produce tomato leathers by cast-tape drying (CTD) incorporating kombucha bacterial cellulose (KBC), specifically investigating its impact on rheological properties, drying performance, and product physicochemical properties and acceptability. Tomato leathers were dried using a Teflon support at 98°C and air velocity of 1.0±0.1ms−1 with a relative humidity of 60% and a temperature of 24.5°C. The substitution of tomato puree by KBC (1%–2% w/w) increased the viscosity of systems, yet it still allowed uniform spreading during the CTD process. However, the drying time increased from 7 to 9min when KBC was added to the tomato puree. Tomato leathers showed homogeneous aspects and were completely soluble in water. Furthermore, the substitution of tomato puree by KBC did not modify the antioxidant properties (DPPH inhibition around 20%) of tomato leathers and reconstituted leather acceptability (mean score of approximately 6) due to KBC's antioxidant properties and its similar sour taste to tomato puree, respectively. These results demonstrated that KBC can be used as a natural additive in tomato leathers without altering their functional properties and acceptability.

Native bees as key pollinators of açaí (Euterpe oleracea) in the Central Amazon.

Thu, 01 Jan 2026 00:00:00 GMT

Título: Native bees as key pollinators of açaí (Euterpe oleracea) in the Central Amazon. Autoria: LADISLAU, J. V.; HIPÓLITO, J.; MOREIRA, E. F.; MAHLMANN, T.; OLIVEIRA, M. L. de; KRUG, C. Conteúdo: The açaí palm (Euterpe oleracea) is a key economic resource in the Amazon region. Despite this, studies on its floral visitors in Amazonas state remains scarce, outdated, lack species identifications and inferences about their role as pollinators. This study aimed to identify the floral visitor community and potential pollinators of an açaí crop in the central Amazon. From August 2018 to May 2019, we monitored the visits on 14 pistillate and 11 staminate inflorescences from 20 plants and calculated two indices: relative importance and pollen-transport efficiency, to identify the main potential pollinators. We collected 1656 insects from 111 species, mainly stingless bees (45.77%) and other native bees (33.32%). Ranking values identified Trigona williana Friese and Partamona ferreirai Pedro & Camargo as the principal contributors to pollen flow, followed by Trigona dallatorreana Friese and Frieseomelitta trichocerata Moure. This ranking method represents a key innovation of our study. Using these indices, we identify species contributing most to pollen flow while retaining information on the importance and efficiency of all taxa. Our findings reinforce the role of native bees in açaí pollination and provide potential target species for regional management.

A non-destructive approach using spectral fingerprinting and chemometrics in the authentication and quality prediction of fallen tree wood.

Thu, 01 Jan 2026 00:00:00 GMT

Título: A non-destructive approach using spectral fingerprinting and chemometrics in the authentication and quality prediction of fallen tree wood. Autoria: NASCIMENTO, C. S. do; ANDRADE, J. C. de; SILVA, C. E. da; KARTNALLER, V.; CAMPOS, M. A. A.; ARAÚJO, R. D. de; FIGUEIREDO, A. da S.; SOARES, J. C. R.; OLIVEIRA, M. C. R. de; HIGUCHI, N. Conteúdo: The Amazon rainforest harbors a stock of naturally fallen trees whose rational use is limited mainly by the difficulty of accurately identifying their taxa and, consequently, assigning technological value to this resource. This study proposes a rapid, non-destructive strategy that authenticates the origin of these woods and predicts their quality by integrating Fourier Transform Near-Infrared spectroscopy with chemometrics. Exploratory analysis applied to spectra from ten Central Amazon taxa revealed clear spectral patterns for some species, especially in bands at 5284–5426 and 7123–7359 cm−1, associated with Csingle bondO and Csingle bondH vibrations of components such as lignin and hemicellulose. Using these fingerprints, a one-class classification approach implemented in MATLAB authenticated the woods with precision of 99.1–100%. Once identity was secured, the NIR spectra were used in PLS regression models developed in TQ Analyst software to predict properties chemical, physical and mechanical. Although the classification and regression steps were performed in different software environments due to the specific requirements of each algorithm, they were applied sequentially to the same spectral dataset, forming an integrated workflow. The models showed strong predictive ability, with coefficients of determination for prediction generally above 0.88, low prediction errors, and ratio of performance to deviation values mostly above 3, indicating suitability for screening and quantitative estimation. However, due to severe logistical constraints of sampling naturally fallen trees in the Amazon, these models were built with a limited test set and rely solely on internal validation; thus, these high-performance metrics should be interpreted cautiously as an exploratory proof-of-concept. While this study successfully demonstrates the feasibility of the method, rigorous external validation with larger, independent datasets is required before full implementation.