Statistical differentiation of bananas according to their mineral composition.
The concentrations of Na, K, Ca, Mg, Fe, Cu, Zn, and Mn were determined in banana cultivars Gran enana and Pequeña enana cultivated in Tenerife and in cv. Gran enana bananas from Ecuador. The mineral concentrations in the bananas from Tenerife and from Ecuador were clearly different. The cultivar did not influence the mineral concentrations except in the case of Fe. Variations according to cultivation method (greenhouse and outdoors) and farming style (conventional and organic) in the mineral concentrations in the bananas from Tenerife were observed. The mineral concentrations in the internal part of the banana were higher than those in the middle and external parts. Representation of double log correlations K-Mg and Zn-Mn tended to separate the banana samples according to origin. Applying factor and cluster analysis, the bananas from Ecuador were well separated from the bananas produced in Tenerife, and therefore, these are useful tools for differentiating the origin of bananas.
The Mineral Content of Mexican Fruits and Vegetables
As part of the development of new food composition tables for Mexico, a number of fruit and vegetable samples, grown in Mexico, were purchased fresh from the main market in Mexico City. After washing and drying to remove contaminants, the samples were freeze dried and analyzed for the major elements (Na, K, Ca, P, Mg, Fe) by flame photometric and spectrophotometric procedures and for the minor and trace elements (Cu, Zn, Mn, Co, Cr, Cd, Pb) by atomic absorption spectrophotometry. The results are compared with those from the United Kingdom and German food composition tables. In general there were no consistent differences between the European and Mexican data, though the P content of Mexican fruits tended to be lower. There were noticeably higher Pb levels in Mexican fruits than those of United Kingdom origin, while root and green vegetables showed similar Pb levels.
Research on Control and Planning of Soft-Wing UAV for Haze Removal
The existence of fog and haze has caused great pollution to the environment. The research of removing haze is a hot topic in recent years. In this paper, a special haze removal algorithm based on Soft- Wing UAVis proposed. In this algorithm, two track control strategies are designed based on the Soft-Wing UAV model transfer function. A SIMULINK platform based mathematical model of Soft-Wing UAV is built to testified effectiveness of the two track control strategies. An autonomous ergodic-planning algorithm with greedy strategy and foldback algorithm for Soft-Wing UAV is designed. Within the algorithm, the haze regional has been modelled, the cost matrix is constructed, and the planning and ergodic strategy is proposed. Finally, the experimental results validates the reliability of the algorithm in the application of haze removal with the proposed evaluation Index.