Quantitative phytochemical, proximate/nutritive composition analysis of Beta Vulgaris Linnaeus (Chenopodiceae)

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
UE Odoh ◽  
CO Ezugwu ◽  
EC Okoro
1995 ◽  
Vol 94 (2) ◽  
pp. 342-350 ◽  
Author(s):  
Steffen Lenzner ◽  
Kurt Zoglauer ◽  
Otto Schieder

Author(s):  
J. Cadena-Iñiguez
Keyword(s):  

Con el fin de predecir rendimientos de betacianinas de raíz de Beta vulgaris L., para uso alimentario bajo condiciones de campo, se aplicó una ecuación potencial simple, ecuación de Richard y modelo de Werker en tres agroambientes, y determinaron curvas de crecimiento, desarrollo foliar, biomasa y metabolito. Se evaluaron siete variables del rendimiento, ocho de campo, cinco abióticas, 22 físico-químicas del suelo, y dos de extracción bioquímica. Los datos fueron analizados además por componentes principales. La producción de betacianinas en raíz se relacionó inversamente con su biomasa, lo que coincide con resultados de otros autores, que indican que el tamaño y peso del betabel correlacionan negativamente con la concentración de betacianinas, aunque éstos no reportan un modelo para dicha concentración. Los rendimientos de biomasa aérea estuvieron directamente relacionados con los de betacianinas (r2?0.90), resaltando que once de 17 nutrimentos esenciales fueron determinantes. Al quedar definidos los factores bióticos y abióticos que afectan el desarrollo de raíz, en los sitios de estudio, contra rendimientos de betacianinas, es posible gestionar bajo el modelo aplicado, las variables más significativas para optimizar el rendimiento, calidad y rentabilidad industrial en cada agroambiente.


2019 ◽  
Vol 2 (1) ◽  
pp. 8-12
Author(s):  
Angela Hartati ◽  
Diah Indriani Widiputri ◽  
Arbi Dimyati

This research was conducted for the purpose to overcome Indonesia waste problem. The samples are classified into garden waste, paper waste, wood, food waste, and MSW with objective to identify which type of waste give out more syngas since there is waste separation in Indonesia. All samples were treated by plasma gasification without pre-treatment (drying). Arc plasma torch used in this experiment was made by National Nuclear Energy Agency (BATAN) and used Argon as the gas source. Then the torch was connected to self-designed gasification chamber and gas washing system before injected into a gas bas for composition analysis. Another objective is to identify factors that may affect the gasification efficiency and the experiment shows that moisture content is not really affecting the efficiency but the duration of the process. The mass reduction of each samples were recorded, then the gas produced from the gasification process were analyzed. The result shows that food has the highest mass percentage reduced and producing the highest amount of hydrogen amongst other samples. However, treating MSW also produce considerably high amount of hydrogen. In conclusion, MSW direct treatment (without separation) using plasma gasification is feasible since it still produces desirable quality of syngas.


2007 ◽  
Vol 13 (2) ◽  
pp. 48-52
Author(s):  
G.V. Shevchenko ◽  
◽  
E.L. Kordyum ◽  
Keyword(s):  

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