A Rapid Method For Detecting Amino Acid Compositions In Soybeans By Near-Infrared Spectroscopy And Correlation Studies

Soybean crops [Glycine max (L.) Merr.] is the highest nutritional value of leguminous plants; especially rich in quality protein and essential amino acids, which meet people's health required a balanced diet, with good prospects for development. Selection of excellent in quality soybean breeds has great significance on conservation, genetic breeding and nutrition work in China; however, the ways of quick and accurate and efficient determination of the content of soybean crude protein and amino acids is the future Amino acid analysis of the research, that aim at accelerate soybean quality breeding which is an urgent problem.A total of167soybean varieties were collected from the staple planted breeds in China and they were screened with the surface morphology analysis. Determining the values of principal constituents (crude protein and18kinds of amino acids) used chemical method in167kinds of soybeans. The results show that the crude protein content of48.76%is closed to half weight of total soybean seed; glutamate content is the highest content in18kinds of amino acids; the higher coefficient of variation of Sulfur amino acids showed that the wider range variation in content of sulfur amino acids with; Researchers can reserve excellent seeds by screening.To establish a rapid, efficient and low-cost method of applying Fourier-Transform Near-Infrared Reflectance Spectroscopy (FT-NIRS) to detecting amino acids in soybean, we selected167representative soybean flour samples from a large original population and utilized FT-NIRS to predict the contents (which were analyzed by HPLC) of crude protein and eighteen amino acid species. According to the data we obtained, crude protein(R2CV=0.98), aspartate (R2CV=0.85), glutamate (R2CV=0.86), serine (R2CV=0.82), glycine (R2CV=0.89), tyrosine (R2CV=0.83), phenylalanine (R2CV=0.78), isoleucine (R2CV=0.86), ryptophane (R2CV=0.81) and the total amino acids content (R2CV=0.82) can be detected by FT-NIRS accurately; This study has further demonstrated the stability and feasibility of using FT-NIRS to detect the crude protein and the major amino acid components in soybean.The correlativity of mutual restriction between crude protein and various amino acids in soybean has important significance to ameliorate the nutritional value; and provides the reference for the workers who are conservation of breeds and breeding. The correlation study between protein,18kinds of amino acids and the sum of18kinds of amino acids showed: Increasing the protein level is possible to improve the primary amino acids content in soybean, but can not boost the sulfur amino acid content; The correlation between higher levels of amino acids is obvious; but neither between the sulfur amino acids and other amino acids nor between each other is remarkable correlation.