Advances in the Development of Biofertilizers and Biostimulants from Microalgae.

Microalgae have commercial potential in different sectors of the industry. Specifically in modern agriculture, they can be used because they have the ability to supply nutrients to the soil and produce plant growth hormones, polysaccharides, antimicrobial compounds, and other metabolites that improve agricultural productivity. Therefore, products formulated from microalgae as biofertilizers and biostimulants turn out to be beneficial for agriculture and are positioned as a novel and environmentally friendly strategy. However, these bioproducts present challenges in preparation that affect their shelf life due to the rapid degradation of bioformulated products. Therefore, this work aimed to provide a comprehensive review of biofertilizers and biostimulants from microalgae, for which a bibliometric analysis was carried out to establish trends using scientometric indicators, technological advances were identified in terms of formulation methods, and the global market for these bioproducts was analyzed.

Systematic Analysis of Genes Related to Selenium Bioaccumulation in Microalgae: A Review.

Se is one of the essential nutrients for human health and animal growth; it participates in various physiological functions, such as antioxidant and immune response and metabolism. Se deficiency is related in the animal industry to poor production performance and the appearance of health problems in humans. Therefore, interest has arisen in producing fortified foods, nutritional supplements, and animal feed products enriched with Se. A sustainable strategy for bio-based products enriched with Se is microalgae. These are characterized by the ability to bioaccumulate inorganic Se and metabolize it into organic Se for product formulations of industrial interest. Although there are some reports on Se bioaccumulation, further exploration is needed to understand the effects of Se bioaccumulation in microalgae. Therefore, this article presents a systematic review of the genes or groups of genes that trigger biological responses associated with the metabolization of Se in microalgae. A total of 54,541 genes related to Se metabolization distributed in 160 different classes were found. Similarly, trends were identified through bibliometric networks on strains of greatest interest, bioproducts, and scientific production.

Improving Deproteinization in Colombian Latex from Hevea brasiliensis: A Bibliometric Approximation.

Natural Rubber Field Latex (NRFL) allergens restrict its use in some markets due to health-threatening allergic reactions. These molecules are proteins that are related to asymptomatic sensitization and hypersensitivity mediated by immunoglobulin E (IgE). Although NRFL allergens have been investigated since the 1980s, there are still gaps in knowledge regarding the development of deproteinized natural rubber (DPNR). Therefore, in this study, the deproteinization of NRFL from the lower basin of the Cauca River, Antioquia-Colombia was evaluated using eight systems. The highest removal value was 84.4% and was obtained from the treatment containing SDS (Sodium dodecyl sulfate), Urea, and Ethanol. It was also possible to determine that at high concentrations of SDS, removal percentages higher than 70% are reached. On the other hand, all deproteinizing systems decreased NRFL Zeta potentials without self-coagulation, suggesting enhanced colloidal stability in DPNR latex. On the other hand, the bibliometric analysis presented technological advances in DPRN through different parameters and bibliometric networks. The analysis presented makes an important contribution from the bibliometric approach that could be positive for the development of research on DPNR.

Trends on CO2 Capture with Microalgae: A Bibliometric Analysis.

The alarming levels of carbon dioxide (CO2) are an environmental problem that affects the economic growth of the world. CO2 emissions represent penalties and restrictions due to the high carbon footprint. Therefore, sustainable strategies are required to reduce the negative impact that occurs. Among the potential systems for CO2 capture are microalgae. These are defined as photosynthetic microorganisms that use CO2 and sunlight to obtain oxygen (O2) and generate value-added products such as biofuels, among others. Despite the advantages that microalgae may present, there are still technical-economic challenges that limit industrial-scale commercialization and the use of biomass in the production of added-value compounds. Therefore, this study reviews the current state of research on CO2 capture with microalgae, for which bibliometric analysis was used to establish the trends of the subject in terms of scientometric parameters. Technological advances in the use of microalgal biomass were also identified. Additionally, it was possible to establish the different cooperation networks between countries, which showed interactions in the search to reduce CO2 concentrations through microalgae.

Synthesis and evaluation of the in vitro and in vivo antitrypanosomal activity of 2-styrylquinolines.

In this study, we report the synthesis and evaluation of in vitro and in vivo antitrypanosomal activity of styrylquinoline-like compounds (SQ) 3a-h. Synthesis was carried out by using quinaldine and 8- hydroxyquinaldine with a variety of aromatic aldehydes. The structure of SQs was corroborated by one and two-dimension NMR spectroscopy. In vitro antitrypanosomal activity on T. cruzi Talahuen strain was evaluated using ß-galactosidase enzymatic method; cytotoxicity on U-937 cells was assessed by using MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] method. On the other hand, in vivo therapeutical response to 3a-f compounds was evaluated in BALB/c mice (Mus musculus) experimentally infected with T. cruzi blood trypomastigotes and then orally administered with 100 mg/kg weight day for 20 days. All of the compounds showed in vitro activity with EC50 values ranging between 4.6 ± 0.1 µg/mL (14.4 µM) and 36.6 ± 6.1 µg/mL (91 µM). Furthermore, treatment with 3a-f compounds for 20 days resulted in improvement in all of the mice, with a 83-96% decrease in parasitic load at day 90 post-treatment. Treatment with benznidazol (BZ) managed to cure 100% of the mice at the end of treatment. None of the treatments affected the weight of the animals or alanine aminotransferase (ALT), blood urea nitrogen (BUN) and creatinine levels in serum. These results suggest a therapeutic potential of 3a-f compounds as treatment for the infection.

Low-dimensional dynamics for working memory and time encoding.

Our decisions often depend on multiple sensory experiences separated by time delays. The brain can remember these experiences and, simultaneously, estimate the timing between events. To understand the mechanisms underlying working memory and time encoding, we analyze neural activity recorded during delays in four experiments on nonhuman primates. To disambiguate potential mechanisms, we propose two analyses, namely, decoding the passage of time from neural data and computing the cumulative dimensionality of the neural trajectory over time. Time can be decoded with high precision in tasks where timing information is relevant and with lower precision when irrelevant for performing the task. Neural trajectories are always observed to be low-dimensional. In addition, our results further constrain the mechanisms underlying time encoding as we find that the linear "ramping" component of each neuron's firing rate strongly contributes to the slow timescale variations that make decoding time possible. These constraints rule out working memory models that rely on constant, sustained activity and neural networks with high-dimensional trajectories, like reservoir networks. Instead, recurrent networks trained with backpropagation capture the time-encoding properties and the dimensionality observed in the data.

An improved HPLC-DAD method for clavulanic acid quantification in fermentation broths of Streptomyces clavuligerus.

Clavulanic acid (CA) is an important secondary metabolite commercially produced by cultivation of Streptomyces clavuligerus (Sc). It is a potent inhibitor of bacterial ß-lactamases. In this work, a specific and improved high performance liquid chromatography (HPLC) method, using a C-18 reversed phase column, diode array detector and gradient elution for CA quantification in fermentation broths of Sc, was developed and successfully validated. Samples were imidazole-derivatized for the purpose of creating a stable chromophore (clavulanate-imidazole). The calibration curve was linear over a typical range of CA concentration between 0.2 and 400mg/L. The detection and quantification limits were 0.01 and 0.02mg/L, respectively. The precision of the method was evaluated for CA spiked into production media and a recovery of 103.8%, on average, was obtained. The clavulanate-imidazole complex was not stable when the samples were not cooled during the analysis. The recovery rate was 39.3% on average. This assay was successfully tested for CA quantification in samples from Sc fermentation, using both, a chemically defined and a complex medium.

Complexity and competition in appetitive and aversive neural circuits.

Decision-making often involves using sensory cues to predict possible rewarding or punishing reinforcement outcomes before selecting a course of action. Recent work has revealed complexity in how the brain learns to predict rewards and punishments. Analysis of neural signaling during and after learning in the amygdala and orbitofrontal cortex, two brain areas that process appetitive and aversive stimuli, reveals a dynamic relationship between appetitive and aversive circuits. Specifically, the relationship between signaling in appetitive and aversive circuits in these areas shifts as a function of learning. Furthermore, although appetitive and aversive circuits may often drive opposite behaviors - approaching or avoiding reinforcement depending upon its valence - these circuits can also drive similar behaviors, such as enhanced arousal or attention; these processes also may influence choice behavior. These data highlight the formidable challenges ahead in dissecting how appetitive and aversive neural circuits interact to produce a complex and nuanced range of behaviors.

Semisynthetic roxburghin tetra-methyl ether.

The title mol-ecule, (E)-2,3',4,5-tetra-methoxy-stilbene, C(18)H(20)O(4), is virtually planar. The angle between the two benzene rings is 4.06 (6)°. The inter-molecular inter-actions present in the structure are weak. There are C-H⋯O hydrogen bonds and C-H⋯π-electron ring inter-actions. The mol-ecules are ordered into planes that are parallel to (01). The distance between adjacent planes is about 3.3 Šand therefore π-π electron inter-actions between the aromatic planes are also plausible.