ARTÍCULO
TITULO

Analysis of Parameter Roasting on Color and Peanuts Roasted Taste

Silvi Ari Yanti    
Chandrasa Soekardi    
M. Sobron Yamin Lubis    

Resumen

The purpose of this study is to determine the optimum temperature of roasting, optimal rotation speed of tube and roasting time, to produce roasted peanuts with good taste and good colour. The research method is experimental using a Completely Randomized Design (CRD) with three factors of temperature, rotation and time. And analyzed using Anova method and Multiple Linear Regression. Temperature consists of five variables, namely 80oC, 85oC, 90oC, 95oC and 100oC. For rotations speed consists of 30, 35, 40 and 45 RPM. Variable of roasting time consists of four roasting times of 10, 15, 20 and 25 minutes. The numbers of data were 80 experiments. With three observation parameters namely moisture containing, color and aroma. It can be concluded that the temperature 95oC is the optimal roasting temperature; the optimal rotation speed is 40 RPM and 25 minutes for each roasting time. With the variable values mentioned, roasted bean products contain a fairly good taste, good moisture and good colour.

 Artículos similares

       
 
José Luis Hernández-Martínez, Jorge Adrián Perera-Burgos, Gilberto Acosta-González, Jesús Alvarado-Flores, Yanmei Li and Rosa María Leal-Bautista    
Remote sensing is an invaluable research tool for the analysis of marine and terrestrial water bodies. However, it has some technical limitations in waters with oligotrophic conditions or close to them due to the low spectral response of some water param... ver más
Revista: Water

 
J. Feo-García, A. Pulido-Alonso, A. Florido-Betancor and N. R. Florido-Suárez    
The analysis of energy consumption in reverse osmosis desalination plants is the most important and relevant factor to study, because this parameter indicates the level of efficiency and competitiveness of the plant. The direct consequence of the high sp... ver más
Revista: Water

 
Puti Yan, Zhen Cao, Jiangbo Peng, Chaobo Yang, Xin Yu, Penghua Qiu, Shanchun Zhang, Minghong Han, Wenbei Liu and Zuo Jiang    
A flame?s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean blowout (LBO) ... ver más
Revista: Aerospace

 
Lei Yang, Mengxue Xu and Yunan He    
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t... ver más
Revista: Applied Sciences

 
Rui Zhou and Xianghong Xu    
The significant increase in the speed of high-speed trains has made the optimization of pantograph?catenary parameters aimed at improving current collection quality become one of the key issues that urgently need to be addressed. In this paper, a method ... ver más
Revista: Applied Sciences