Cytological and compositional evaluation of white asparagus spears as a function of variety,thickness, portion and storage conditions

An evaluation was made of the degree of toughening of asparagus during its storage through a study of the morphological and cellular differences of the xylem vascular bundles as a function of the variety, thickness and portion of the asparagus spear. Light microscopic examinations were carried out to determine the thickness of the cell wall to quantify the extent of the toughening. At the same time a study was made of the fractions of dietary fibre of the asparagus spear by means of chemical extraction techniques. Statistically significant differences were observed in both methods between varieties, thicknesses and portions of the asparagus spear. Different factors such as variety, degree of maturing, portion of spear, moment of harvesting, and type and time of storage have an influence on the toughening of white asparagus that should be taken into account in order to standardise its quality. © 2000 Society of Chemical Industry     

Spanish food composition database: A challenge for a consensus

Food composition tables have become important tools to estimate and monitor the nutritional composition of foods next to chemical analysis. However, as analytical methods, calculation methods and obtained results differ significantly within various sources of food composition information. Because calculation methods and obtained results differ significantly within various sources of food composition information, it is indeed a challenge to build, harmonise and compile a food composition database from scattered resources and hard copy tables. This situation has been challenged and addressed in Spain with the support of EuroFIR and governmental bodies (Spanish Food Safety and Nutrition Authority, AESAN), and the Spanish Food Composition Database Network (RedBDECA) has been set up. The proposed aims of the initiative are: to identify and evaluate the main sources of food composition data in Spain; to promote communication within national groups and with EuroFIR; to design and develop a web page for the dissemination of its activities; and to create a consortium to ensure the sustainability of the Spanish Food Composition Database.     

Effects of genetic polymorphisms at the growth hormone gene on milk yield in Serra da Estrela sheep

The five exons and the 5' and 3'-untranslated regions (5'-UTR and 3'-UTR) of the oGH gene were screened for mutations using PCR-single strand conformation polymorphism (PCR-SSCP) procedures in 523 Serra da Estrela ewes and were found to be highly polymorphic. The region extending across and between the GH2-N and GH2-Z copies was sequenced allowing the design of primers for the specific PCR amplification of each copy. These were cloned and sequenced in 20 animals representative of all SSCP patterns. The corresponding genotypes were established for each copy following nucleotide sequencing of SSCP alleles. Twenty-four polymorphic sites were found at the GH2-N (or GH1) and fourteen at the GH2-Z copies. Eight amino acid substitutions were predicted at the GH2-N and six at the GH2-Z copies. Milk yield adjusted to 150 lactation days was analysed for the genotype of each oGH gene copy taken separately or together (associated genotypes) by restricted maximum likelihood (REML) through a univariate best linear unbiased prediction (BLUP) animal model with repeated measures. Significant associations between genotypes and milk yield were observed. Within GH2-N genotypes there was a milk yield differential of 21.4+/-0.2 l/150 d between the most (N7) and the least (N5) productive ones. Within GH2-Z genotypes there was a differential of 21.6+/-0.2 l/150 d between the most (Z8) and the least (Z1) productive ones. The effect of associated GH2-N and GH2-Z genotypes revealed a differential of 39.6+/-0.3 l/150 d between the most (N1+Z7) and the least (N3+Z2) productive associated genotypes. The results show that GH2-N and GH2-Z genotypes significantly affect milk yield in Serra da Estrela ewes. Moreover, the apparent joint effect of GH2-N and GH2-Z genotype could improve milk yield in 25% as compared with the mean milk production of the analysed population.     

Modeling retention and selectivity as a function of pH and column temperature in liquid chromatography

In reversed-phase liquid chromatography (RPLC), the retention of weak acids and bases is a sigmoidal function of the mobile-phase pH. Therefore, pH is a key chromatographic variable to optimize retention and selectivity. Furthermore, at an eluent pH close to the pKa of the solute, the dependence of ionization of the buffer and solute on temperature can be used to improve chromatographic separations involving ionizable solutes by an adequate handling of column temperature. In this paper, we derive a general equation for the prediction of the retentive behavior of ionizable compounds upon simultaneous changes in mobile-phase pH and column temperature. Four experiments, two limiting pH values and two temperatures, provide the input data that allow predictions in the whole range of these two variables, based on the thermodynamic fundamentals of the involved equilibria. Also, the study demonstrates the significant role that the choice of the buffer compound would have on selectivity factors in RPLC at temperatures higher than 25 degrees C.     

Modeling nonspecific toxicity of organic compounds to the fathead minnow fish by means of chromatographic systems

The performance of chromatographic systems to mimic aquatic toxicity to the fathead minnow fish is evaluated taking into account the factors that contribute to the variance of biological-chromatographic correlations. These factors are the precision to measure the fathead minnow toxicity, the precision of the surrogate chromatographic system, and the error from the dissimilarity between the fathead minnow and chromatographic systems. The precisions are estimated through the characterization of the systems by the solvation parameter model. Several chromatographic systems as well as the common reference octanol-water partition system have been selected to test their ability to model the nonspecific toxicity to the fathead minnow by means of the proposed approach. Predictions and experimental tests show that the micellar electrokinetic chromatography system of sodium taurocholate and chromatographic measurements using an immobilized artificial membrane column provide the most precise estimations of this biopartitioning property. The octanol-water partition system, the conventional C18 high-performance liquid chromatography systems, and the micellar electrokinetic chromatography system of sodium dodecylsulfate show worse performances.     

Estimation of biological properties by means of chromatographic systems: evaluation of the factors that contribute to the variance of biological-chromatographic correlations

The performance of chromatographic systems to emulate biological systems is evaluated in terms of the precision that can be achieved. The variance obtained when biological parameters are correlated against physicochemical ones can be decomposed in three terms: the variance of the biological data, the variance of the physicochemical data, and the variance caused by the dissimilarity between the two correlated systems (biological and physicochemical). The three terms contribute to the overall variance observed when measurements in chromatographic systems are correlated with experimental biological properties. The Abraham linear free energy relationships (LFERs) provide a very good approach to characterize biological and physicochemical systems and thus the variance of the analyzed data and the similarity/dissimilarity between them. The contribution of the three variances to the precision of the biological parameter estimated in this way is evaluated from the characterization of the biological and chromatographic systems by means of the Abraham model. The proposed method is able to estimate the goodness of chromatographic systems to predict particular biological properties. In particular, this method is illustrated by comparison of toxicity data (-log LC(50)) for the fish fathead minnow with retention data (log k) in several micellar electrokinetic chromatography (MEKC) systems and also by correlations between retention data (log k) in the sodium taurocholate (STC) MEKC system and data of several biological systems.     

Methodological quality in clinical trials and bibliometric indicators: no evidence of correlations

Citation frequencies and journal impact factors (JIFs) are being used more and more to assess the quality of research and allocate research resources. If these bibliometric indicators are not an adequate predictor of research quality, there could be severe negative consequences for research. To analyse to which extent citation frequencies and journal impact factors correlate with the methodological quality of clinical research articles included in an SBU systematic review of antibiotic prophylaxis in surgery. All 212 eligible original articles were extracted from the SBU systematic review “Antibiotic Prophylaxis in Surgery” and categorized according to their methodological rigourness as high, moderate or low quality articles. Median of citation frequencies and JIFs were compared between the methodological quality groups using Kruskal–Wallis non-parametric test. An in-depth study of low-quality studies with higher citation frequencies/JIFs was also conducted. No significant differences were found in median citation frequencies (p = 0.453) or JIFs (p = 0.185) between the three quality groups. Studies that had high citation frequencies/JIFs but were assessed as low-quality lacked control groups, had high dropout rates or low internal validity. This study of antibiotic prophylaxis in surgery does not support the hypothesis that bibliometric indicators are a valid instrument for assessing methodological quality in clinical trials. This is a worrying observation, since bibliometric indicators have a major influence on research funding. However, further studies in other areas are needed.