Publications by authors named "F Z Trindade"

To gain insight into the active microbiota during spontaneous fermentation of L., this study assessed protein diversity during 120 h using a combined metabarconding and metaproteomics approach. During the first days of fermentation, most of the peptides were associated with and yeast (0-72 h).

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Article Synopsis
  • Microorganisms are essential for soil quality and ecosystem services, but human activities can negatively impact their functions; thus, assessing soil health through molecular methods is more effective than traditional methods.
  • This study examined microbial diversity and activity in different cocoa agroforestry systems, including green fertilization, rubber-cocoa intercropping, and Cabruca, using metagenomic and metaproteomic techniques.
  • Results showed increased microbial diversity and nitrogen cycling activity in agroforestry systems, with specific enzymes indicating higher metabolic activity, highlighting the importance of soil management practices for improving soil health and productivity.
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A green, fast and effective multivariate method for the determination of atrazine (ATZ) was developed using conventional infrared equipment furnished with an attenuated total reflectance module (ATR-IR), providing limit of detection (LOD) and limit of quantification (LOQ) in the ranges from 1.9 to 4.6 µg/mL and from 5.

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The association of postpartum cardiac reverse remodeling (RR) with urinary proteome, particularly in pregnant women with cardiovascular (CV) risk factors who show long-term increased risk of cardiovascular disease and mortality is unknown. We aim to profile the urinary proteome in pregnant women with/without CV risk factors to identify proteins associated with postpartum RR. Our study included a prospective cohort of 32 healthy and 27 obese and/or hypertensive and/or diabetic pregnant women who underwent transthoracic echocardiography, pulse-wave-velocity, and urine collection at the 3rd trimester and 6 months postpartum.

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Controlling the shape and size dispersivity and crystallinity of nanoparticles (NPs) has been a challenge in identifying these parameters' role in the physical and chemical properties of NPs. The need for reliable quantitative tools for analyzing the dispersivity and crystallinity of NPs is a considerable problem in optimizing scalable synthesis routes capable of controlling NP properties. The most common tools are electron microscopy (EM) and X-ray scattering techniques.

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