In vitro fermentation of cereal dietary fibre carbohydrates by probiotic and intestinal bacteria

A range of probiotic and other intestinal bacteria were examined for their ability to ferment the dietary fibre carbohydrates β‐glucan, xylan, xylo‐oligosaccharides (XOS) and arabinoxylan. β‐Glucan was fermented by Bacteroides spp and Clostridium beijerinckii but was not fermented by lactobacilli, bifidobacteria, enterococci or Escherichia coli. Unsubstituted xylan was not fermented by any of the probiotic bacteria examined. However, many Bifidobacterium species and Lactobacillus brevis were able to grow to high yields using XOS. XOS were also efficiently fermented by some Bacteroides isolates but not by E coli, enterococci, Clostridium difficile, Clostridium perfringens or by the majority of intestinal Lactobacillus species examined. Bifidobacterium longum strains were able to grow well using arabinoxylan as the sole carbon source. These organisms hydrolysed and fermented the arabinosyl residues from arabinoxylan but did not substantially utilise the xylan backbone of the polysaccharide. Arabinoxylan was not fermented by lactobacilli, enterococci, E coli, C perfringens or C difficile and has potential to be an applicable carbohydrate to complement probiotic Bif longum strains in synbiotic combinations. © 2002 Society of Chemical Industry     

Treatments with Xylanase at High (90 %) and Low (40 %) Water Content Have Different Impacts on Physicochemical Properties of Wheat Bran

The aim of the work was to elucidate the impacts of treatment with xylanase at high (90 %) and low (40 %) water contents on the structural and physicochemical properties of wheat bran. The bran treatments at 40 % water content, both with and without added xylanase, resulted in a smaller average bran particle size, more changes in bran microstructure, and higher solubilization of polysaccharides than the corresponding treatments at 90 %. Also, the water holding capacity of bran (3.6?±?0.1 g water/g bran dm), determined by Baumann method, decreased more already after 4-h xylanase treatments at 40 % (2.4?±?0.1) than at 90 % (2.9?±?0.2). The solubility of salt-extractable bran proteins decreased during the treatments, especially at 40 %, also without added xylanase. Protein aggregation was detected in the SDS?+?DTT-extractable bran fraction, which also contained small proteins of 10–20 kDa not detectable in the untreated bran. The use of xylanase had only minor effect on bran proteins as compared to the treatments without added xylanase. The results indicate the large role of mechanical shear on the bran properties at 40 % water content. The low arabinose/xylose ratio (0.32) in the bran water extract after 24-h xylanase treatment at 40 %, however, suggests that the solubilization of arabinoxylan was caused by enzymatic action, and not by mechanical degradation. Arabinose/xylose ratio of the bran water extract decreased similarly during all the treatments, suggesting similar solubilization pattern of arabinoxylan at both water contents. The study showed that bran properties can be significantly modified by adjusting the water content and mechanical energy used in processing.     

Pareto navigator for interactive nonlinear multiobjective optimization

We describe a new interactive learning-oriented method called Pareto navigator for nonlinear multiobjective optimization. In the method, first a polyhedral approximation of the Pareto optimal set is formed in the objective function space using a relatively small set of Pareto optimal solutions representing the Pareto optimal set. Then the decision maker can navigate around the polyhedral approximation and direct the search for promising regions where the most preferred solution could be located. In this way, the decision maker can learn about the interdependencies between the conflicting objectives and possibly adjust one’s preferences. Once an interesting region has been identified, the polyhedral approximation can be made more accurate in that region or the decision maker can ask for the closest counterpart in the actual Pareto optimal set. If desired, (s)he can continue with another interactive method from the solution obtained. Pareto navigator can be seen as a nonlinear extension of the linear Pareto race method. After the representative set of Pareto optimal solutions has been generated, Pareto navigator is computationally efficient because the computations are performed in the polyhedral approximation and for that reason function evaluations of the actual objective functions are not needed. Thus, the method is well suited especially for problems with computationally costly functions. Furthermore, thanks to the visualization technique used, the method is applicable also for problems with three or more objective functions, and in fact it is best suited for such problems. After introducing the method in more detail, we illustrate it and the underlying ideas with an example.     

Molecular Weight Characterization and Gelling Properties of Acid-Modified Maize Starches

The reduction in the molecular weight distribution during acid hydrolysis of ordinary and waxy maize starch occured in two stages: first amylopectin degraded to intermediate high molecular weight polysac-charides, secondly, these were further hydrolyzed. The amylose moiety of ordinary and high-amylose starch was not affected very much by the hydrolysis conditions used (0.1–1 M HCI, 40°C, 0.3–4 h), but the gelling properties of starch weakened. The amylopectin degradation products, probably branched dextrins, were shown to hinder the gel formation of amylose in the starch pastes.     

Magnetic measurements of cardiac mechanical activity

The origin of the magnetic susceptibility signal caused by mechanical activity of the heart is studied. Magnetic signals were measured with a second order SQUID (superconductor quantum interface device) gradiometer by applying a homogeneous external magnetic field with magnitude up to 260 A/m. Three experimental methods were used to separate the different components in the magnetic susceptibility signal. First, the thorax of the subject was surrounded by water solution of MnCl₂ with various magnetic susceptibilities, then a plastic bag containing a similar solution was placed on the chest of the subject, and finally the chest wall of the subject was immobilized during the measurements by using a special vacuum casting. The results suggest that usually about 65-80% of the signal measured near the heart originates directly from cardiac volume changes. This cardiac plethysmogram can be separated easily by immobilizing the subject's chest or by surrounding the chest with the liquid, whose magnetic susceptibility is about -5×10^-6     

Design-inclusive UX research: design as a part of doing user experience research

Since the third wave in human–computer interaction (HCI), research on user experience (UX) has gained momentum within the HCI community. The focus has shifted from systematic usability requirements and measures towards guidance on designing for experiences. This is a big change, since design has traditionally not played a large role in HCI research. Yet, the literature addressing this shift in focus is very limited. We believe that the field of UX research can learn from a field where design and experiential aspects have always been important: design research. In this article, we discuss why design is needed in UX research and how research that includes design as a part of research can support and advance UX design practice. We do this by investigating types of design-inclusive UX research and by learning from real-life cases of UX-related design research. We report the results of an interview study with 41 researchers in three academic research units where design research meets UX research. Based on our interview findings, and building on existing literature, we describe the different roles design can play in research projects. We also report how design research results can inform designing for experience methodologically or by providing new knowledge on UX. The results are presented in a structured palette that can help UX researchers reflect and focus more on design in their research projects, thereby tackling experience design challenges in their own research.     

Effect of enzymatic interesterification on the melting point of tallow-rapeseed oil (LEAR) mixture

To reduce the melting point of a tallow-rapeseed oil mixture, the triglyceride composition of the mixture was altered by enzymatic interesterification in a solvent-free system. The interesterification and hydrolysis were followed by melting point profiles and by free fatty acid determinations. The degree of hydrolysis was linearly related to the initial water content of the reaction mixture. The rate of the interesterification reaction was influenced by the amount of enzyme but not much by temperature between 50 and 70°C. The melting point reduction achieved by interesterification depended on the mass fractions of the substrates: the lower the mass fraction of tallow, the larger the reduction of the melting point.     

Transesterification of phospholipids in different reaction conditions

Transesterification of synthetic dimyristoyl phosphatidylcholine with oleic acid by commercial lipase preparations fromAspergillus niger andRhizomucor miehei was studied in the presence and absence of solvent. A high-performance liquid chromatography method for determination of the modified phosphatidylcholine was developed. Under solvent-free conditions, transesterification could be carried out as efficiently as in toluene, and the degree of hydrolysis was lower than in toluene. Transesterification was influenced by the water content as well as by the fatty acid concentration in the reaction mixture. The optimum water content for transesterification in solvent-free reaction medium was higher than in toluene with both lipases. The yield of modified phosphatidylcholine increased, and the degree of hydrolysis decreased with increasing fatty acid concentration. The maximum yield of modified phospha-tidylcholine, 35% of the original phospholipid, was obtained withR. miehei lipase.     

Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives

A new bi-objective genetic programming (BioGP) technique has been developed for meta-modeling and applied in a chromatographic separation process using a simulated moving bed (SMB) process. The BioGP technique initially minimizes training error through a single objective optimization procedure and then a trade-off between complexity and accuracy is worked out through a genetic algorithm based bi-objective optimization strategy. A benefit of the BioGP approach is that an expert user or a decision maker (DM) can flexibly select the mathematical operations involved to construct a meta-model of desired complexity or accuracy. It is also designed to combat bloat – a perennial problem in genetic programming along with over fitting and under fitting problems. In this study the meta-models constructed for SMB reactors were compared with those obtained from an evolutionary neural network (EvoNN) developed earlier and also with a polynomial regression model. Both BioGP and EvoNN were compared for subsequent constrained bi-objective optimization studies for the SMB reactor involving four objectives. The results were also compared with the previous work in the literature. The BioGP technique produced acceptable results and is now ready for data-driven modeling and optimization studies at large.