Several procedures are currently used to assess fermentation index (FI) of cocoa beans (Theobroma cacao L.) for quality control. However, all of them present several drawbacks. The aim of the present work was to develop and validate a simple image based quantitative procedure, using color measurement and artificial neural network (ANNs). ANN models based on color measurements were tested to predict fermentation index (FI) of fermented cocoa beans. The RGB values were measured from surface and center region of fermented beans in images obtained by camera and desktop scanner. The FI was defined as the ratio of total free amino acids in fermented versus non-fermented samples. The ANN model that included RGB color measurement of fermented cocoa surface and R/G ratio in cocoa bean of alkaline extracts was able to predict FI with no statistical difference compared with the experimental values....

El presente trabajo de investigación se realizó en los laboratorios de la Universidad Nacional Agraria de la Selva, Tingo María. Teniendo como objetivo seleccionar y caracterizar química y físico químicamente un tipo de plátano y determinar el efecto de la enzima PG sobre la pulpa para obtener zumo, el cual será caracterizado físico químicamente, microbiológicamente y sensorialmente durante el almacenamiento. Se utilizó siete (7) tipos de plátano (musa sp) al estado maduro, del cual se seleccionó el plátano isla por su mejor rendimiento en zumo, utilizando para el tratamiento enzimático y la obtención de zumo con un índice de madurez de 57; con un contenido de humedad de 72,76% y de 24,98% de carbohidratos. La actividad de la PG fue de 292 U/ml. a 30°C y pH 5,0, utilizando el método Iodimétrico. El mejor resultado se obtuvo al hidrolizar la pulpa con O, 03% de PG, a ...

Fruit waste is rich in phenolic compounds, including flavonoids with pharmacological potential for health, nutraceutical and technological properties. To characterize them, High Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS) was used, used for its high separation efficiency by HPLC and structural information from MS, a technique that allows analyzing a wide range of analytes in plant matrices. This study aims was to perform a systematic analysis based in SCOPUS of scientific productions of studies on techniques for detection and identification of flavonoids by HPLC-MS in fruit waste available in Latin America, between the years 2010-2022. Thus, the countries with the highest scientific production are Brazil (58.9%), Mexico (16.1%), Chile (9.2%), Argentina (7.1%) and Colombia (3.8%). There were also studies in collaboration with researchers from the USA and Europe. A total ...

The objective of this review is to report on the progress made so far in the development of THz spectroscopy technology with application in the food industry, as well as, to evaluate the range of frequencies used by this technology in relation to the water content of food, to find patterns in which the physicochemical characterization of food samples is most effective. From the literature reviewed, it has been found that THz spectroscopy is still in constant development, both in the physical part of the equipment and in the data processing techniques. Despite these advances, the frequency ranges in which the identification of compounds are influenced by the interference of the water composition of food have not been clearly identified, even molecular behavior of water in the frequency ranges corresponding to the spectral band of THz is still little known. When performing a meta-analysis ...