Peanut Research Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
Peanut Biodiesel
Videos
Video Selection
Mycotoxin Research
Production Research
Post Harvest Research
Expert Systems
Chemistry
Peanut Breeding and Genetics
Biochemistry
UPPT
 

Research Project: POST HARVEST MEASUREMENT AND MANAGEMENT SYSTEMS TO IMPROVE PEANUT QUALITY AND US COMPETITIVENESS

Location: Peanut Research

Title: Application of Near Infrared Reflectance Spectroscopy on Determination of Moisture, Total oil and Protein Contents of In-shell Peanuts

Authors

Submitted to: American Institute of Chemical Engineers
Publication Type: Proceedings
Publication Acceptance Date: July 20, 2009
Publication Date: November 10, 2009
Citation: Sundaram, J., Kandala, C., Holser, R.A., Windham, W.R., Butts, C.L. 2009. Application of Near Infrared Reflectance Spectroscopy on Determination of Moisture, Total oil and Protein Contents of In-shell Peanuts. American Institute of Chemical Engineers.

Interpretive Summary: Not required.

Technical Abstract: Moisture, total oil and protein content of peanuts are important factors in peanut grading. A method that could rapidly and nondestructively measure these parameters for in-shell peanuts would be extremely useful. NIR reflectance spectroscopy was used to analyze the moisture, total oil and protein content of Virginia type in-shell peanuts. NIR absorbance spectra were collected in the wavelength range from 400 nm to 2500 nm using a Foss NIR instrument. Average values of moisture and total oil contents of all samples were determined by standard air-oven and Soxtec methods, respectively. Protein was measured using Leco Nitrogen analyser. Partial Least Squares analysis was done to develop empirical models for prediction. The best model was selected based on the coefficient of determination (R2), Standard Error of Prediction (SEP) and the ratio of SEP to standard deviation (RPD) values.

   

 
Project Team
Butts, Christopher - Chris
Lamb, Marshall
Kandala, Chari
 
Publications
   Publications
 
Related National Programs
  Quality and Utilization of Agricultural Products (306)
 
 
Last Modified: 05/18/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House