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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Commodity Utilization Research » Research » Publications at this Location » Publication #399415
Research Project: Development of Novel Cottonseed Products and Processes

Location: Commodity Utilization Research

Title: Raman spectroscopic assessment of fibers and seeds of six cotton genotypes

Author
item He, Zhongqi
item Nam, Sunghyun
item Fang, David

Submitted to: Agricultural and Environmental Letters
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/2/2023
Publication Date: 3/15/2023
Citation: He, Z., Nam, S., Fang, D. 2023. Raman spectroscopic assessment of fibers and seeds of six cotton genotypes. Agricultural and Environmental Letters. 8. Article e20102. https://doi.org/10.1002/ael2.20102.
DOI: https://doi.org/10.1002/ael2.20102

Interpretive Summary: Like infrared (IR) spectroscopy, Raman spectroscopy (RS) is a vibrational spectroscopic technique. While IR is an excellent tool for structural and quantitative analysis of natural products, RS is able to provide some additional structural information due to the different detection mechanisms. Currently, there are only limited reports on RS characterization of fiber and cottonseed research. This work evaluated the potential of RS for identification of fiber traits of different genotypes and value-added traits of cotton crop as a reliable, fast and simple way. The derived experimental evidence confirmed the possibility of RS combined with PCA for rapid fiber phenotyping of cotton as well as for evaluating cottonseed nutrient information.

Technical Abstract: Raman spectroscopy (RS) is a vibrational spectroscopy. This work reported the RS spectral characteristics of fiber and seed of six cotton genotypes differing in fiber length. While the RS spectra of fiber samples were dominated by the cellulose-related peaks, the spectra of cottonseed samples were featured by the bands related to oil, protein, carbohydrate, and lignin components. Principal Component Analysis (PCA) revealed that the first two principal components (PCs) accounted for >87% of the total variation of the two types of samples. The PC1 vs PC2 plot classified the six fiber samples into 3 groups, but their cottonseeds into 4 groups. This experimental evidence implied the possibility of RS combined with PCA for rapid fiber phenotyping of cotton as well as for evaluating cottonseed nutrient information.