Journal
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 60, Issue 33, Pages 8097-8102Publisher
AMER CHEMICAL SOC
DOI: 10.1021/jf301247w
Keywords
soybean; nondestructive analysis; protein; oil; Raman spectroscopy; transmission; light scattering
Funding
- United Soybean Board [9282]
- National Science Foundation Industry/University Cooperative Research Center
- Center for Agricultural, Biomedical, and Pharmaceutical Nanotechnology
- CHE [0957849]
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The soybean industry requires rapid, accurate, and precise technologies for the analyses of seed/grain constituents. While the current gold standard for nondestructive quantification of economically and nutritionally important soybean components is near-infrared spectroscopy (NIRS), emerging technology may provide viable alternatives and lead to next generation instrumentation for grain compositional analysis. In principle, Raman spectroscopy provides the necessary chemical information to generate models for predicting the concentration of soybean constituents. In this communication, we explore the use of transmission Raman spectroscopy (TRS) for nondestructive soybean measurements. We show that TRS uses the light scattering properties of soybeans to effectively homogenize the heterogeneous bulk of a soybean for representative sampling. Working with over 1000 individual intact soybean seeds, we developed a simple partial least-squares model for predicting oil and protein content nondestructively. We find TRS to have a root-mean-standard error of prediction (RMSEP) of 0.89% for oil measurements and 0.92% for protein measurements. In both calibration and validation sets, the predicative capabilities of the model were similar to the error in the reference methods.
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