SCIRP Mobile Website

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.


Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
Paper Publishing WeChat
Book Publishing WeChat

Article citations


Himmelsbach, D. and Holser, R. (2009) Application of 2D Correlation Spectroscopy with MCR in the Preparation of Glycerol Polyesters. Vibrational Spectroscopy, 51, 142-145.

has been cited by the following article:

  • TITLE: Analysis of Peanut Seed Oil by NIR

    AUTHORS: Babankumar Bansod, Ritula Thakur, Ronald Holser

    KEYWORDS: Chemometrics, Infrared Spectroscopy, Oilseed, Oleic Acid, Quality Control

    JOURNAL NAME: American Journal of Analytical Chemistry, Vol.6 No.12, November 9, 2015

    ABSTRACT: Near infrared reflectance spectra (NIRS) was collected from Arachis hypogaea seed samples and used in predictive models to rapidly identify varieties with high oleic acid. The method was developed for shelled peanut seeds with intact testa. Spectra was evaluated initially by principal component analysis (PCA) followed by partial least squares (PLS). PCA performed with full spectra and reduced spectra with one principal component accounted for 97% to 99% variability, respectively. The PLS model generated from first derivative spectra provided a standard error of prediction (SEP) of 7.7204808. This technique provides a non-destructive method to rapidly identify high oleic peanut seeds to support the selection and cultivation of high oleic acid peanut varieties. The method can also be useful at peanut processing facilities for screening and quality assessments.