Equilibrium Moisture Content of Ganoderma Lucidum

2019 ◽  
Vol 889 ◽  
pp. 266-274
Author(s):  
Pham Van Kien ◽  
Nguyen Hay ◽  
Le Anh Duc
Keyword(s):  
Experimental Data ◽  
Regression Analysis ◽  
Moisture Content ◽  
Equilibrium Moisture Content ◽  
Ganoderma Lucidum ◽  
Regression Coefficient ◽  
Least Square ◽  
Quadratic Regression ◽  
Least Square Regression ◽  
Linear Least Square

Equilibrium moisture content (EMC) of Ganoderma Lucidum was determined experimentally at three different experimental temperature (30, 40 and 50°C) and relative humidity ranged from 11.1 to 93.58% using a gravimetric technique. The experimental data of equilibrium moisture content obtained was fitted to four mathematical models (Modified Henderson, Modified Chung ˗ Pfost, Modified Oswin and Modified Haley). A non-linear least square regression analysis was used to evaluate the model constants based on the parameters as: standard error of estimate (SEE), the residual sum of squares (RSS), the quadratic regression coefficient (R2). The result showed that the modified Chung ˗ Pfost model best fitted the experimental data.

scholarly journals Thermodynamic properties and moisture sorption isotherms of two pharmaceutical compounds

2018 ◽  
Author(s):  
Amel Zammouri ◽  
M. Ben Zid ◽  
N. Kechaou ◽  
N. Boudhrioua Mihoubi
Keyword(s):  
Experimental Data ◽  
Thermodynamic Properties ◽  
Moisture Content ◽  
Equilibrium Moisture Content ◽  
Water Sorption ◽  
Pharmaceutical Preparations ◽  
Sorption Isotherms ◽  
Integral Enthalpy ◽  
Isotherm Models ◽  
Water Sorption Isotherms

This investigation examines and compares the water sorption isotherms and the thermodynamic properties of two pharmaceutical preparations (Hypril and Azix) intended to be manufactured with the same process plant and equipment. The moisture equilibrium isotherms were determined at 50, 60 and 70 °C using a gravimetric technique. Five isotherm models were explored for their fitting to the experimental data. Azix showed sigmoid type II isotherms while Hypril showed type III isotherms according to the BET classification. All investigated models fitted well the water sorption isotherms of Hypril. By contrast, only GAB and Adam and Shove equations gave appropriate fit to the experimental data of Azix. For both formulations, the isosteric heat and the differential entropy decreased sharply with the increase of equilibrium moisture content to minimum values and thereafter remain constant. In the case of Azix, the integral enthalpy decreased with equilibrium moisture content while the integral entropy increased until reaching a constant value. Contrariwise, Hypril showed decreasing of the integral enthalpy and entropy with the equilibrium moisture content. Keywords: sorption isotherm, enthalpy, entropy, spreading pressure, pharmaceutical formulations  

scholarly journals A Bayesian hierarchical model for demand curve analysis

2016 ◽  
Vol 27 (7) ◽  
pp. 2038-2049
Author(s):  
Yen-Yi Ho ◽  
Tien Nhu Vo ◽  
Haitao Chu ◽  
Xianghua Luo ◽  
Chap T Le
Keyword(s):  
Hierarchical Model ◽  
Demand Curve ◽  
Bayesian Hierarchical Model ◽  
Curve Analysis ◽  
Least Square ◽  
Self Administration ◽  
Bayesian Hierarchical ◽  
Least Square Regression ◽  
Non Linear ◽  
Linear Least Square

Drug self-administration experiments are a frequently used approach to assessing the abuse liability and reinforcing property of a compound. It has been used to assess the abuse liabilities of various substances such as psychomotor stimulants and hallucinogens, food, nicotine, and alcohol. The demand curve generated from a self-administration study describes how demand of a drug or non-drug reinforcer varies as a function of price. With the approval of the 2009 Family Smoking Prevention and Tobacco Control Act, demand curve analysis provides crucial evidence to inform the US Food and Drug Administration’s policy on tobacco regulation, because it produces several important quantitative measurements to assess the reinforcing strength of nicotine. The conventional approach popularly used to analyze the demand curve data is individual-specific non-linear least square regression. The non-linear least square approach sets out to minimize the residual sum of squares for each subject in the dataset; however, this one-subject-at-a-time approach does not allow for the estimation of between- and within-subject variability in a unified model framework. In this paper, we review the existing approaches to analyze the demand curve data, non-linear least square regression, and the mixed effects regression and propose a new Bayesian hierarchical model. We conduct simulation analyses to compare the performance of these three approaches and illustrate the proposed approaches in a case study of nicotine self-administration in rats. We present simulation results and discuss the benefits of using the proposed approaches.

Sorption Isotherms and Isosteric Heat of Peanut Pods, Kernels and Hulls

2007 ◽  
Vol 13 (3) ◽  
pp. 231-238 ◽  
Author(s):  
P.C. Corrêa ◽  
A.L.D. Goneli ◽  
C. Jaren ◽  
D.M. Ribeiro ◽  
O. Resende
Keyword(s):  
Experimental Data ◽  
Relative Humidity ◽  
Moisture Content ◽  
Mathematical Models ◽  
Equilibrium Moisture Content ◽  
Sorption Isotherms ◽  
Isosteric Heat ◽  
Statistical Parameters ◽  
Peanut Hulls ◽  
Pass Through

This study was carried out to evaluate the sorption isotherms of peanut pods, kernels and hulls for several temperature and humidity conditions and to fit different mathematical models to the experimental data, selecting the one best fitting the phenomenon. The dynamic method was applied to obtain the hygroscopic equilibrium moisture content. The environmental conditions were provided by means of an atmospheric conditioning unit, in which removable perforated trays were placed to allow air to pass through peanut mass, each one containing 50 g of the product. The mathematical models frequently used for the representation of hygroscopicity of agricultural products were fit to the experimental data. Based on those results, it was concluded that peanut pods, kernels and hulls presented differentiated hygroscopicity. The equilibrium moisture content for peanut pods, kernels and hulls increased with an increase in the relative humidity at any particular temperature and decreased with increase in temperature at constant relative humidity. At a constant water activity, peanut hulls samples had higher equilibrium moisture content than the pods and kernels samples. Based on statistical parameters, the modified Henderson and Chung-Pfost models were found to adequately describe the sorption characteristics of peanut pods, kernels and hulls. Isosteric heat of desorption were evaluated by applying the Clausius—Clapeyron equation to experimental isotherms and decreased with increasing moisture content. The peanut hulls had higher isosteric heat of sorption than that peanut pods and kernels.

scholarly journals A Mathematical Model for Predicting the Winnowing Efficiency of Bambara Groundnut Sheller

2020 ◽  
Vol 5 (2) ◽  
pp. 225-228
Author(s):  
Inimfon Samuel Ossom ◽  
Akindele Folarin Alonge ◽  
Kingsley Charles Umani ◽  
Edidiong J. Bassey
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Moisture Content ◽  
Model Equation ◽  
Model Simulation ◽  
Least Square Method ◽  
Bambara Groundnut ◽  
Least Square ◽  
Predicted Model ◽  
Experimental Values

A mathematical model for predicting the winnowing efficiency of bambara groundnut sheller was developed. The regression equation for model simulation was developed using Least Square Method. The model was verified and validated by fitting it into established experimental data from winnowing efficiency of already existed Bambara groundnut sheller. The result revealed that the fitted model correlated well with the experimental data with R-square value of 0.99. The winnowing efficiency obtained from the predicted model was approximately the same values with the experimental values. Therefore, the model equation was considered to be reasonably good for predicting the winnowing efficiency of bambara groundnut sheller for known values of moisture content and blower speed.

scholarly journals Pengaruh Informasi Akuntansi Terhadap Kinerja Manajerial dengan Tiga Variabel Moderating (Studi Empiris Pada BPR di Kabupaten Bogor)

2011 ◽  
Vol 1 (2) ◽  
pp. 115
Author(s):  
Dona Primasari ◽  
Isbandriyati Mutmainah
Keyword(s):  
Regression Analysis ◽  
Performance Evaluation ◽  
Business Strategy ◽  
Accounting Information ◽  
Least Square ◽  
Managerial Performance ◽  
Variable Environment ◽  
Least Square Regression ◽  
Task Uncertainty ◽  
Manager Performance

This research is based on the importance of accounting information to the manager’s performance evaluation, which is moderated with environment uncertainty, task uncertainty, and business strategy. It was used the population of Bank Perkreditan Rakyat on Kabupaten Banyumas. The influence of accounting information to managerial performance was analyzed by using original least square regression, and the influence of three moderated variable (environment uncertainty, task uncertainty, and business strategy) to manager performance were analyzed by using Moderated Regression Analysis (MRA). The analysis result showed that accounting information variable influenced manager performance significantly. Meanwhile, the variables of environment uncertainty, task uncertainty, and business strategy did not moderate the influence of accounting information to manager performance.In other words, those three variables could not be said as moderated variables. The result showed indication of the importance of accounting information in doing management’s function Keywords: accounting information, the manager’s performance evaluation, environment uncertainty, task uncertainty, and business strategy.

Equation of Equilibrium Moisture Content of Wood under Vacuum by Regression Analysis

2010 ◽  
Vol 139-141 ◽  
pp. 645-648
Author(s):  
Song Lin Yi ◽  
Yong Dong Zhou ◽  
Zheng Bin He ◽  
Xiao Jiang Feng ◽  
Bi Guang Zhang
Keyword(s):  
Experimental Data ◽  
Moisture Content ◽  
Equilibrium Moisture Content ◽  
Pressure Range ◽  
Solid Wood ◽  
Chinese Fir ◽  
Regression Equation ◽  
Drying Method ◽  
Temperature And Pressure ◽  
Highly Correlated

Relationship among equilibrium moisture content (EMC), temperature and pressure was established under vacuum condition, and EMC regression equation was constructed based on experimental data, with Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) as Experimental material, and MC was measured by oven-drying method. The experimental temperature range was from 40 to 90°C at the interval of 10°C, and pressure range was from 0.02 to 0.08 MPa at the interval of 0.02 MPa. EMC Comparison of Chinese fir and paper wafer sensor showed: EMC of paper wafer sensor changed in the same trend of solid wood. A regression equation was presented and the calculated EMC value was highly correlated with experimental data. This regression equation can be used to predict EMC under vacuum, especially for automatic control system of wood drying under vacuum.

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