Fast and Non-Destructive Determination of Water Content in Ionic Liquids at Varying Temperatures by Raman Spectroscopy and Multivariate Regression Analysis

2021 ◽  
pp. 339164
Author(s):  
Jingzhe Li ◽  
Muhammad Qamar Farooq ◽  
Jacob W. Petrich ◽  
Jared L. Anderson ◽  
Emily A. Smith
Meat Science ◽  
2013 ◽  
Vol 95 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Milena Bjelanovic ◽  
Oddvin Sørheim ◽  
Erik Slinde ◽  
Eero Puolanne ◽  
Tomas Isaksson ◽  
...  

Author(s):  
Aidin Pahlavan ◽  
Mohammad Hassan Kamani ◽  
Amir Hossein Elhamirad ◽  
Zahra Sheikholeslami ◽  
Mohammad Armin ◽  
...  

AbstractThis study was focused on the assessment of relationships among the properties of wheat and their resultant flour, dough and final bread. For this purpose, multivariate linear regression in the form of the step-wise algorithm was applied to evaluate the relation among the flour characteristics of wheat with quality of dough and the final breads (Barbari and Lavash). The results showed that variety of wheat (Orum, Pishgam, and Zareh) could not affect the moisture content and quantity of the flour residue; however, considerable variation was observed on protein content and Zeleny number. The multivariate regression analysis built appropriate models to predict the hardness of the Barbari bread (R2 = 0.98) and specific volume of the Lavash bread (R2 = 0.98). Overall, the results indicated that the regression models in the form of step-wise might be useful as a non-destructive technique for assessing quality of bread.


2010 ◽  
Vol 399 (2) ◽  
pp. 635-649 ◽  
Author(s):  
Qingda Zang ◽  
David A. Keire ◽  
Richard D. Wood ◽  
Lucinda F. Buhse ◽  
Christine M. V. Moore ◽  
...  

Author(s):  
Sawalludin Sawalludin ◽  
La Rianda ◽  
Abdu Rahman Baco

The study aims to determine factors that influence the preference of consumers to coffee locally in Regency Muna, to determine the priority choice of consumers to coffee locally in Regency Muna, and to determine a shift in the balance of consumers to coffee Local in Regency Muna.The population in this study are consumers who buy and consume coffee at the study site, the determination of the sample is done by random sampling to obtain 75 respondents. Data collection is done through interviews, questionnaires, and documentation. Data analysis using multivariate regression analysis with the help of SPSS 16 for windows, analysis of exponential comparison methods and markov analysis. The results of this study indicate that consumer preferences for local coffee on taste variables have a significant effect with a significant value of n 0,000 <0.05, aroma variables have a significant effect 0,000 <0.05, and color variables have a significant effect 0,000 <0.05, MPE analysis shows that local kahawai coffee still has a great opportunity as a priority for consumers in the consumption of coffee in the Maabholu Village, and Markov analysis shows the equilibrium point in the 16th period namely local kahawai coffee 0.243, instant ABC Mocca coffee 0.387, instant coffee boat fire 0.230, and instant coffee Tora Bika 0.054.


Sign in / Sign up

Export Citation Format

Share Document