Study on Rapid Determination of Nutrient Composition in Corn Distillers Dried Grains with Solubles by Near-Infrared Reflectance Spectroscopy
ZHOU Liang-juan1, ZHANG Li-ying1*, ZHANG En-xian2, SUI Lian-min1
1. State Key Laboratory of Animal Nutrition, China Agricultural University, Beijing 100193, China 2. Central Laboratory, Agribrands Purian (Langfang) Feedmill Co. Ltd., Langfang 065000, China
Abstract:The possibility of using near-infrared reflectance spectroscopy (NIRS) for quantitative determination of 8 important nutrient compositions, including moisture, crude protein, ether extract, ash, total phosphorus, neutral detergent fiber, acid detergent fiber and crude fiber in corn DDGS was investigated in the present study. Ninety-three samples were collected from 18 plants in China over a three years period. Calibrations were performed by modified partial least squared algorithm and 15 different derivatives plus scatter correction spectral pretreatments. The results showed that the second derivative mathematical treatment gave the best prediction performance for most constituents. The prediction performance of models developed using 93 calibration samples was better than that developed using 70 samples. The coefficients of determination for calibration (RSQcal), coefficients of determination for cross-validation (1-VR), and RPDCV of cross-validation in models developed using 93 samples were 0.94~0.99, 0.89~0.99, and 2.98~14.85, respectively. These results indicate that NIRS can be used as a quantitative method for rapid determination of nutrient composition in corn DDGS.
Key words:Distillers dried grains with solubles;Near-infrared reflectance spectroscopy;Nutrient composition
[1] Spiehs M H, Whitney M H, Shurson G C. Journal of Animal Science, 2002, 80: 2639. [2] Givens D I, De Boever J L, Deaville E R. Nutrition Research Reviews, 1997, 10: 83. [3] Williams P C, Norris K H, Sobering D C. Journal of Agirculture and Food Chemistry, 1985, 33(2): 239. [4] Fontaine J, Hrr J, Schirmer B. Journal of Agirculture and Food Chemistry, 2001, 49(1): 57. [5] Fernández-Ahumada E, Guerrero-Ginel J E, Pérez-Marín D, et al. Journal of Near Infrared Spectroscopy, 2008, 16(3): 285. [6] Kovalenko I G, Rippke G R, Hurburgh C R. Journal of Agirculture and Food Chemistry, 2006, 54(10): 3485. [7] Fernández-cabanás V M, Garrido-varo A, Pérez-marín D, et al. Applied spectroscopy, 2006, 60(1): 17. [8] AACC, Near-Infrared Methods-Guidelines for Model Development and Maintenance. AACC 39-00. [9] SPSS Inc., SPSS for Windows, Release 13.0. SPSS Inc., USA: Chicago, IL. [10] Norris K H, Barnes R F, Moore J E, et al. Journal of Animal Science, 1976, 43: 889. [11] Norris K H, Williams P C. Cereal Chemistry, 1984,61(2): 158. [12] Fassio A, Fernández E G, Restaino E A, et al. Computers and Electronics in Agriculture, 2009, 67: 59. [13] Belyea R L, Rausch K D, Tumbleson M E. Bioresource Technology, 2004, 94: 293. [14] Windham W R, Morrison W H. Journal of Near Infrared Spectroscopy, 1998, 6: 229.