Multiple reaction monitoring for identification and quantification of oligosaccharides in legumes using a triple quadrupole mass spectrometer.

Raffinose family oligosaccharides are non-digestible compounds considered as dietary prebiotics with health-related properties. Hence, it is important to develop highly specific methods for their determination. An analytical method is developed in this study for oligosaccharide identification and quantification using liquid chromatography-tandem mass spectrometry equipped with a triple quadrupole analyser operating in Multiple Reaction Monitoring mode. Raffinose, stachyose and verbascose are separated in a 10-minute run and the method is validated over a broad concentration range, showing good linearity, accuracy, precision and high sensitivity. A low-cost, short eco-friendly procedure for oligosaccharide extraction from legumes, with a high recovery rate extraction, good repeatability and reproducibility is also proposed. No plant-matrix effects were demonstrated. The method applied to the screening of 28 different legumes revealed species-related traits for oligosaccharide distribution, highlighting Pisum sativum (9.22 g/100 g) as the richest source of these prebiotics and its suitability as a functional food ingredient.

A simple one-pot determination of both total phenolic content and antioxidant activity of honey by polymer chemosensors.

We have developed a new method for the rapid (2 h) and inexpensive (materials cost < 0.02 €/sample) "2-in-1" determination of the total phenolic content (TPC) and the antioxidant activity (AOX) in honey samples. The method is based on hydrophilic colorimetric films with diazonium groups, which react with phenols rendering highly colored azo groups. The TPC of the sample is correlated to its trolox equivalent antioxidant capacity (TEAC). The intensity of the color allows us to determine both TPC and TEAC of the sample by the analysis of a picture taken with a smartphone that is analysed by the use of the color-definition-parameters (RGB). The controlled light conditions and the systematic use of the same camera avoid the periodical calibration of the system improving the efficiency of the method. Thus, it is a simple method carried out by non-specialized personnel and it involves much lower money and time investment compared to traditional methods.

[RELATION BETWEEN THE BODY COMPOSITION AND THE SPORTS PRACTICE IN TEENAGERS]. / RELACIÓN ENTRE LA COMPOSICIÓN CORPORAL Y LA PRÁCTICA DEPORTIVA EN ADOLESCENTES.

INTRODUCTION: knowing precisely body composition is important in assessing the nutritional status of adolescents in order to evaluate how it affects the sport practice in this group. OBJECTIVES: to evaluate the influence of regular physical exercise in a group of adolescents in their body composition. METHODOLOGY: 77 male adolescents between 12 and 13 years were evaluated. Weight, height, triceps skinfold (PCT), wrist perimeter, the relaxed arm and umbilical waist were evaluated. The body fat percentage (% BF) was estimated using different equations (Siri, Siri modified, Lohman, Johnston, Deurenberg BMI, body fat percentage from ICT). Electrical bioimpedance equipment was also used. RESULTS: no significant differences in BMI between the two groups were found. The prevalence of overweight and obesity varied by percentile tables used. Differences in the PCT and the percentage of body fat between groups were significants; it was higher in non-athletes (p < 0.05). No significant differences between the values of body fat were obtained by modified equations Siri, Lohman and bioimpedance, in none of the two groups studied. DISCUSSION: the % BF was higher in the group of non-athletes, as well as the value of PCT to the same value of BMI. It was determined that the collective athlete got a better nutritional status than the non-athletic collective. Regardless of the method used, results should be interpreted with caution in assessing body composition of adolescents.

Introducción: conocer de forma precisa la composición corporal es importante para evaluar el estado nutricional de los adolescentes para así valorar cómo influye la práctica deportiva en este colectivo. Objetivos: evaluar en un grupo de adolescentes la influencia de la práctica regular de ejercicio físico sobre su composición corporal. Métodos: se evaluaron 77 adolescentes varones entre 12 y 13 años. Se midió: peso, altura, pliegue cutáneo tricipital (PCT), perímetro de la muñeca y del brazo relajado y cintura umbilical. El porcentaje de grasa corporal (%GC) se estimó utilizando diferentes ecuaciones (Siri, Siri modificado, Lohman, Johnston, Deurenberg IMC, porcentaje de grasa a partir del ICT). También se usó un equipo de bioimpedancia eléctrica. Resultados: no se encontraron diferencias significativas en el IMC entre ambos colectivos. La prevalencia de sobrepeso y obesidad varió según las tablas de percentiles utilizadas. Hubo diferencias significativas en el PCT entre ambos grupos, siendo mayor en los no deportistas (p < 0,05), así como en el porcentaje de grasa corporal. No se observaron diferencias significativas entre los valores de grasa corporal obtenidos por las ecuaciones de Siri modificado, Lohman y bioimpedancia en ninguno de los dos colectivos estudiados. Discusión: el %GC fue mayor entre el colectivo de no deportistas, así como el valor de PCT a un mismo valor de IMC. Se determinó que el colectivo deportista obtuvo un mejor estado nutricional que el colectivo no deportista. Independientemente del método utilizado, los resultados deben interpretarse con cautela al evaluar la composición corporal de los adolescentes.

Relación entre la composición corporal y la práctica deportiva en adolescentes / Relation between the body composition and the sports practice in teenagers

Introducción: conocer de forma precisa la composición corporal es importante para evaluar el estado nutricional de los adolescentes para así valorar cómo influye la práctica deportiva en este colectivo. Objetivos: evaluar en un grupo de adolescentes la influencia de la práctica regular de ejercicio físico sobre su composición corporal. Métodos: se evaluaron 77 adolescentes varones entre 12 y 13 años. Se midió: peso, altura, pliegue cutáneo tricipital (PCT), perímetro de la muñeca y del brazo relajado y cintura umbilical. El porcentaje de grasa corporal (%GC) se estimó utilizando diferentes ecuaciones (Siri, Siri modificado, Lohman, Johnston, Deurenberg IMC, porcentaje de grasa a partir del ICT). También se usó un equipo de bioimpedancia eléctrica. Resultados: no se encontraron diferencias significativas en el IMC entre ambos colectivos. La prevalencia de sobrepeso y obesidad varió según las tablas de percentiles utilizadas. Hubo diferencias significativas en el PCT entre ambos grupos, siendo mayor en los no deportistas (p<0,05), así como en el porcentaje de grasa corporal. No se observaron diferencias significativas entre los valores de grasa corporal obtenidos por las ecuaciones de Siri modificado, Lohman y bioimpedancia en ninguno de los dos colectivos estudiados. Discusión: el %GC fue mayor entre el colectivo de no deportistas, así como el valor de PCT a un mismo valor de IMC. Se determinó que el colectivo deportista obtuvo un mejor estado nutricional que el colectivo no deportista. Independientemente del método utilizado, los resultados deben interpretarse con cautela al evaluar la composición corporal de los adolescentes (AU)

Introduction: knowing precisely body composition is important in assessing the nutritional status of adolescents in order to evaluate how it affects the sport practice in this group. Objectives: to evaluate the influence of regular physical exercise in a group of adolescents in their body composition. Methodology: 77 male adolescents between 12 and 13 years were evaluated. Weight, height, triceps skinfold (PCT), wrist perimeter, the relaxed arm and umbilical waist were evaluated. The body fat percentage (% BF) was estimated using different equations (Siri, Siri modified, Lohman, Johnston, Deurenberg BMI, body fat percentage from ICT). Electrical bioimpedance equipment was also used. Results: no significant differences in BMI between the two groups were found. The prevalence of overweight and obesity varied by percentile tables used. Differences in the PCT and the percentage of body fat between groups were significants; it was higher in non-athletes (p<0.05). No significant differences between the values of body fat were obtained by modified equations Siri, Lohman and bioimpedance, in none of the two groups studied. Discussion: the % BF was higher in the group of non-athletes, as well as the value of PCT to the same value of BMI. It was determined that the collective athlete got a better nutritional status than the non-athletic collective. Regardless of the method used, results should be interpreted with caution in assessing body composition of adolescents (AU)