Yeasts as sustainable biocontrol agents against ochratoxigenic Aspergillus species and in vitro optimization of ochratoxin A detoxification.

AIMS: The aims of this study were to evaluate the potential of Hanseniaspora opuntiae, Meyerozyma caribbica, and Kluyveromyces marxianus for in vitro biocontrol of Aspergillus ochraceus, A. westerdijkiae, and A. carbonarius growth, the ochratoxin A (OTA) effect on yeast growth, and yeast in vitro OTA detoxification ability using an experimental design to predict the combined effects of inoculum size, incubation time, and OTA concentration. METHODS AND RESULTS: Predictive models were developed using an incomplete Box-Behnken experimental design to predict the combined effects of inoculum size, incubation time, and OTA concentration on OTA detoxification by the yeasts. The yeasts were able to inhibit fungal growth from 13% to 86%. Kluyveromyces marxianus was the most efficient in inhibiting the three Aspergillus species. Furthermore, high OTA levels (100 ng ml-1) did not affect yeast growth over 72 h incubation. The models showed that the maximum OTA detoxification under optimum conditions was 86.8% (H. opuntiae), 79.3% (M. caribbica), and 73.7% (K. marxianus), with no significant difference (P > 0.05) between the values predicted and the results obtained experimentally. CONCLUSION: The yeasts showed potential for biocontrol of ochratoxigenic fungi and OTA detoxification, and the models developed are important tools for predicting the best conditions for the application of these yeasts as detoxification agents.

Calibration Transfer of Partial Least Squares Regression Models between Desktop Nuclear Magnetic Resonance Spectrometers.

Low-field proton nuclear magnetic resonance (LF-1H NMR) devices based on permanent magnets are a promising analytical tool to be extensively applied to the process analytical chemistry scenario. To enhance its analytical applicability in samples where the spectral resolution is compromised, multivariate regression methods are required. However, building a robust calibration model, such as partial least squares (PLS) regression, is a laborious task because (1) the number of measurements required during the calibration process is large and (2) the procedure must be repeated when the instrument is changed or after a certain period due to the long-term stability of the instrument. Thus, the present work describes the application of calibration transfer methodologies (direct standardization (DS), piece-wise direct standardization (PDS), and double-window piece-wise direct standardization (DWPDS)) on LF-1H NMR to exempt the necessity of a recalibration procedure when moving from the original spectrometer to a second one with the same, lower, or higher magnetic field. These calibration transfer methodologies were tested with PLS models built on a 60 MHz (for the proton Larmor frequency) spectrometer to predict the specific gravity (SG), distillation temperature (T50%), and final boiling point (FBP) of commercial gasoline. The results showed that the DWPDS method applying only 2 to 7 transference samples enables the transference of all PLS models built on the primary instrument (60 MHz) to other (43, 60, and 80 MHz) different instruments, reaching the same RMSEP values as the primary instrument: 1.2 kg/m3 for SG, 5.1 °C for FBP, and 1.1 °C for T50%.

Mathematical modeling of multicomponent NaCl and KCl diffusion process during the salting of pre-cooked champignon mushrooms.

Wet salting is an old preservation method however the NaCl has been frequently associated to high blood pressure issues. The KCl has been used as partial replacement without affecting the acceptability of the final product. In this study, the simultaneous diffusion of NaCl and KCl in champignon mushrooms in static brine and brine under agitation was modeled based on the generalization of Fick's second diffusion law and simulated using the finite element method. Main and crossed diffusion coefficients, as well as the Biot number, were determined using the super modified simplex optimization method by means of percentage error minimization. Deviations between the simulated and experimental data were 5.78% for NaCl and 4.78% for KCl in static brine and 4.95% for NaCl and 4.35% for KCl in brine with agitation and, the main diffusion coefficients 2.692 × 10-10 m2s-1 for sodium and 2.953 × 10-10 m2s-1 for potassium were obtained.

Application of self-organising maps towards segmentation of soybean samples by determination of amino acids concentration.

Soybeans are widely used both for human nutrition and animal feed, since they are an important source of protein, and they also provide components such as phytosterols, isoflavones, and amino acids. In this study, were determined the concentrations of the amino acids lysine, histidine, arginine, asparagine, glutamic acid, glycine, alanine, valine, isoleucine, leucine, tyrosine, phenylalanine present in 14 samples of conventional soybeans and 6 transgenic, cultivated in two cities of the state of Paraná, Londrina and Ponta Grossa. The results were tabulated and presented to a self-organising map for segmentation according planting regions and conventional or transgenic varieties. A network with 7000 training epochs and a 10 × 10 topology was used, and it proved appropriate in the segmentation of the samples using the data analysed. The weight maps provided by the network, showed that all the amino acids were important in targeting the samples, especially isoleucine. Three clusters were formed, one with only Ponta Grossa samples (including transgenic (PGT) and common (PGC)), a second group with Londrina transgenic (LT) samples and the third with Londrina common (LC) samples.

Application of self-organising maps towards segmentation of soybean samples by determination of inorganic compounds content.

BACKGROUND: In this study, 20 samples of soybean, both transgenic and conventional cultivars, which were planted in two different regions, Londrina and Ponta Grossa, both located at Paraná, Brazil, were analysed. In order to verify whether the inorganic compound levels in soybeans varied with the region of planting, K, P, Ca, Mg, S, Zn, Mn, Fe, Cu and B contents were analysed by an artificial neural network self-organising map. RESULTS: It was observed that with a topology 10 × 10, 8000 epochs, initial learning rate of 0.1 and initial neighbourhood ratio of 4.5, the network was able to differentiate samples according to region of origin. Among all of the variables analysed by the artificial neural network, the elements Zn, Ca and Mn were those which most contributed to the classification of the samples. CONCLUSION: The results indicated that samples planted in these two regions differ in their mineral content; however, conventional and transgenic samples grown in the same region show no difference in mineral contents in the grain.

Study of levan productivity from Bacillus subtilis Natto by surface response methodology and its antitumor activity against HepG2 cells using metabolomic approach.

Levan productivity of Bacillus subtilis Natto was evaluated in submerged culture varying the pH, temperature and culture time, using factorial design and response surface methodology. The characterization of levan molecular weight was performed by HPSEC and its antitumor activity against HepG2 cells using metabolomic approach was also evaluated. At first, the variables investigated, as well as their interactions, demonstrated significant effect. Further, a second design using the same variables at different levels was developed. Thus, according to the model, an optimized value corresponding to 5.82 g.L⁻¹.h⁻¹ was achieved at pH 8, 39.5°C in 21 hours, the highest value reported so far. After analysis by HPSEC, two molecular weights were obtained corresponding to 72.37 and 4146 kDa. The levan promoted an increase of acetate, alanine, lactate and phosphocreatine in HepG2 cells suggesting an alteration in the bioenergetics pathways and cellular homeostasis by intracellular accumulation of lactate, justifying its antitumor activity.

Osmo-dehydrated functional product containing fructo-oligosaccharides: physical, chemical and sensorial characteristics

The objective of the present study was to develop a functional product from the osmo-dehydrated Fuji apple incorporating FOS with acceptable physical, chemical and sensorial characteristics and potential for commercial-scale production. Some treatments were discarded due to texture and water activity that did not reach the desired quality parameters. The products submitted to the osmo-dehydration treatments presented a greater vitamin C loss. All the treatments obtained sensory scores of 6 in a 9 points scale for all the attributes, except the crispness, indicating good acceptance. The sensory scores and incorporated FOS quantities indicated that the osmo-dehydrated apple products have potential for commercial-scale production.

Optimizing dehydration of apples Malus Domestica with fructo-oligosaccharide incorporation

The objective of the present study was to study the effect of the variables of the osmotic dehydration process on sliced Fuji apples (Malus domestica) using a 2 x 3² factorial design. The variables studied in the apple slices were the pretreatment (blanching or acidification), the temperatures (30, 45 and 60ºC) and the FOS concentration (40%, 50% and 60% m/v) of the osmotic solution. There was no difference among the pretreatments for the water activity and titratable acidity. The slices pre-treated by the acidification presented less enzymatic browning (greatest luminosity L* value) combined with a greater soluble solid contents (thus, this treatment was selected). Treatments T4 (45ºC and 40% m/v) and T7 (60ºC and 40%m/v), using the acidification presented responses within the recommended standards and FOS were validated by the repetition.

Extracellular beta-glucosidase production by the yeast Debaryomyces pseudopolymorphus UCLM-NS7A: optimization using response surface methodology.

beta-Glucosidase production by Debaryomyces pseudopolymorphus UCLM-NS7A using a simple nutrient medium containing cellobiose was evaluated under several biochemical and physiological parameters in submerged fermentation. Enzyme induction was also examined using different carbon and nitrogen sources. Cellobiose and ammonium nitrate were the best C and N sources to enhance beta-glucosidase production. The addition of NaCl, MgSO(4), yeast extract, ethanol and Tween 80 to the nutrient medium before inoculation was also compared. A factorial design to optimize enzyme production was developed using four variables that most influenced beta-glucosidase production and data analyzed by the response surface method. Optimal conditions to produce beta-glucosidase in shake-flasks were 1.25% cellobiose, 0.05% Tween 80, 0.4% NH(4)NO(3) over 72 hours. In another factorial design to further increase enzyme production, a lab fermenter using prior-determined shake-flask optimized conditions resulted in higher beta-glucosidase titres at 72 hours, pH controlled at 6.25 and agitation of 200 rpm.

Métodos de gradiente para otimização simultânea: estudo de casos de sistemas alimentares / Gradients methods for simultaneous optimizations: case studies for food systems

Este trabalho teve como objetivo desenvolver um aplicativo com métodos de gradiente eficazes na otimização de sistemas alimentares com respostas múltiplas utilizando as funções de Derringer & Suich, incluindo um polinômio de 4º grau para a remoção das descontinuidades dessas funções. O aplicativo foi testado em três sistemas alimentares selecionados na literatura especializada: 1) inativação da lipoxigenase e lípase preservando-se a atividade da fitase durante o processamento hidrotérmico da cevada; 2) otimização simultânea das respostas na formulação de misturas de proteínas; 3) otimização simultânea dos parâmetros de torração de gérmen de milho visando aplicação como ingrediente em alimentos. O programa desenvolvido mostrou ser eficiente e confiável para a otimização em sistemas alimentares multirresposta

Difusäo do cloreto de sódio no processo de maturaçäo de queijos: modelagem matemática com o emprego do método de elementos finitos / The sodium chlorid diffusion during cheese ripening: matematical model applyng the finite element method

Solute (sodium chloride) transference through a three-dimensional matrix, during cheese ripening, was studied applying the finite element method (MEF). The variational formulation 9Galerkin) of the differential problem (diffusion model) had as the theoretical basis Fick's second law. The methods for time integration were developed according to Crank-Nicolson (central difference), and modified Euler (backward difference), which presented unconditional stability. The computational program proved to be versatile in solving sampling situations in realistic condition nd can be used in complex geometry. The application of numeric method (MEF) withmodified-Euler scheme in the simulation of diffusion of sodium chloride in the ripening, showed to be close to the values published in specialized literature

Determinaçäo do teor de nitrato em vegetais da regiäo de Londrina por complexaçäo do ácido salicílico / Dtermination of nitrate proportion in vegetables of Londrina region by complexation of salicylic acid

Foi avaliado o método de análise de nitrato por complexaçäo do ácido salicílico e realizada a determinaçäo do teor de nitrato em amostras de couve, espinafre, almeiräo, rúcula e chicória recolhidas em feiras livres da cidade de Londrina