ScholarLens Back to search
2016•Unpublished venueRequires access

Discrimination of turmeric brands by means of near infrared (NIR) spectroscopy combined with chemometrics

Saumita Kar, Bipan Tudu, Rajib Bandyopadhyay, Anil Kumar Bag

Open publisher page 2 citations

Abstract

Near Infrared (NIR) spectroscopy combined with chemometrics technique has become a strongest tool for qualitative as well as quantitative assessment in food industry. In this paper, NIR spectroscopy technique is used to discriminate different turmeric brands available at the local market along with a homemade turmeric powder sample. NIR spectroscopic data of turmeric were subjected to different data analysis techniques viz. box plot, principal component analysis (PCA) and linear discriminant analysis (LDA). The separation index value after LDA had reflected an acceptable value to confirm the proper discrimination.

About this research paper

What this paper is about

Near Infrared (NIR) spectroscopy combined with chemometrics technique has become a strongest tool for qualitative as well as quantitative assessment in food industry. In this paper, NIR spectroscopy technique is used to discriminate different turmeric brands available at the local market along with a homemade turmeric powder sample. NIR spectroscopic data of turmeric were subjected to different data analysis techniques viz. box plot, principal component analysis (PCA) and linear discriminant analysis (LDA). The separation index value after LDA had reflected an acceptable value to confirm the proper discrimination.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Near Infrared (NIR) spectroscopy combined with chemometrics technique has become a strongest tool for qualitative as well as quantitative assessment in food industry. In this paper, NIR spectroscopy technique is used to discriminate different turmeric brands available at the local market along with a homemade turmeric powder sample. NIR spectroscopic data of turmeric were subjected to different data analysis techniques viz. box plot, principal component analysis (PCA) and linear discriminant analysis (LDA). The separation index value after LDA had reflected an acceptable value to confirm the proper discrimination.

Key concepts: Chemometrics, Principal component analysis, Linear discriminant analysis, Near-infrared spectroscopy, Spectroscopy, Partial least squares regression, Analytical Chemistry (journal), Materials science

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Discrimination of turmeric brands by means of near infrared (NIR) spectroscopy combined with chemometrics — Research Paper | ScholarLens