Diode array near infrared spectrometer calibrations for composition analysis of single plant canola (brassica napus) seed

Applied Engineering in Agriculture

Volumn 30, Issue 1, 2014, Pages 69-76

  Sidhu, H K ^a   Haagenson, D M ^a   Rahman, M ^b   Wiesenborn, D P ^a  

^a North Dakota State University   (United States)

^b NORTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

DA NIRS; Diode array; Fatty acid composition; Mirrored cup; Moisture content; NIRS calibration model; Oil content; Oleic acid; Palmitic acid; Stearic acid

Indexed keywords

DIODES; FATTY ACIDS; INFRARED DEVICES; MOISTURE; MOISTURE DETERMINATION; NEAR INFRARED SPECTROSCOPY; NONDESTRUCTIVE EXAMINATION; OLEIC ACID; PALMITIC ACID; STEARIC ACID; WAVELENGTH;

CALIBRATION MODEL; DA-NIRS; DIODE ARRAYS; FATTY ACID COMPOSITION; MIRRORED CUP; OIL CONTENTS;

SEED;

EID: 84901280519     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: 10.13031/aea.30.10278     Document Type: Article

References (26)

1. Baker, C., Givens, D., & Deaville, E. (1994). Prediction of organic matter digestibility in vivo of grass silage by near infrared reflectance spectroscopy: effect of calibartion method, residual moisture and particle size. Anim. Feed Sci. Technol., 50(1-2), 17-26. doi:http://dx.doi.org/10.1016/0377- 8401(94)90006-X
2. Espinoza-Pérez, J., Haagenson, D., Pryor, S., Ulven, C., & Wiesenborn, D. (2009). Production and characterization of epoxidized canola oil. Trans. ASABE, 52(4), 1-9. doi:http://dx.doi.org/10.13031/2013.27772
3. Font, R., Río-Celestino, M. D., & Haro-Bailón, A. D. (2006). The use of near-infrared spectroscopy (NIRS) in the study of seed quality components in plant breeding programs. Ind. Crop Prod., 24(3), 307-313. doi:http://dx.doi.org/10.1016/j.indcrop.2006.06.012
4. Haagenson, D., R.L.Brudvick, Lin, H., & Wiesenborn, D. (2010). Implementing an in situ alkaline transesterification method for canola biodiesel quality screening. J. Am. Oil Chem. Soc., 87(11), 135-1358. doi:http://dx.doi.org/10.1007/s11746-010-1607-9
5. Hom, N., Becker, H., & Mollers, C. (2007). Non-destructive analysis of rapeseed quality by NIRS of small seed samples and single seeds. Euphytica, 153(1-2), 27-34. doi:http://dx.doi.org/10.1007/s10681-006-9195-3
6. McClure, W. F. (2001). Near-infrared instrumentation. In P. Williams, & K. Norris (Eds.), Near-Infrared Technology in the Agricultural and Food Industries (pp. 109-128). St. Paul, Minne.: AACC, Inc.
7. Mika, V., Tillmann, P., Koprna, R., Nerusil, P., & Kucera., V. (2003). Fast prediction of quality parameters in whole seeds of oilseed rape (Brassica napus L.). Plant Soil. Environ., 49(4), 141-145.
8. Naeve, S., Orf, J., Killam, A., Shadow, W., & Honigs., D. (2009). Micro Mirror Module analysis of small seed samples for soybean seed quality. Retrieved September 18, 2012, from http://www.perten.com/Publications/Articles/ Micro-Mirror-Module-analysis-of-small-seed-samples-for-soybean-seedquality/
9. Niewitetzki, O., Tillman, P., Becker, H., & Mollers, C. (2010). A New near-infrared reflectance spectroscopy for high-throughput of oleic acid and linolenic acid content of single seeds in oilseed rape (Brassica napus L.). J. Agric. Food Chem., 58(1), 94-100. PMid:19961144. doi:http://dx.doi.org/10.1021/ jf9028199
10. Petisco, C., Garcia-Criado, B., Vazquez-de-Aldana, B., Haro, A. D., & Garcia-Ciudad, A. (2010). Measurement of quality parameters in intact seeds of Brassica species using visible and near-infrared spectroscopy. Ind. Crop Prod., 32(2), 139-146. doi:http://dx.doi.org/10.1016/j.indcrop.2010.04.003
11. Ratnayake, W., & Daun, J. (2004). Chapter 3: Chemical composition of canola and rapeseed oils. In F. Gunstone (Ed.), Rapeseed and Canola Oil Production, Processing, Properties and Uses (pp. 37-78). Oxford, U.K.: Blackwell Publishing Ltd.
12. Sato, T. (2008). Nondestructive measurements of lipid content and fatty acid composition in rapeseeds (Brassica napus L.) by near infrared spectroscopy. Plant Prod. Sci., 11(1), 146-150. doi:http://dx.doi.org/10.1626/pps.11.146
13. Shenk, J., Jr, J. W., & Westerhaus, M. (2008). Chapter 16: Application of NIR spectroscopy to agricultural products. In D.A.Burns, & E. Ciurczak (Eds.), Handbook of Near-Infrared Analysis (pp. 347-386). Boca Raton, Fla.: CRC Press.
14. Siemens, B., & Daun, J. (2005). Determination of the fatty acid composition of canola, flax, and solin by near-infrared spectroscopy. J. Am. Oil Chem. Soc., 82(3), 153-157. doi:http://dx.doi.org/10.1007/s11746-005-5165-5
15. USDA, GIPSA. (2004). Grain Inspection Handbook-Book II, Chapter 3. Washington, D.C.: USDA, Grain Inspection, Packers and Stockyards Administration.
16. Velasco, L., & Becker, H. (1998). Estimating the fatty acid composition of the oil in intact-seed rapeseed (Brassica napus L.) by near- infrared reflectance spectroscopy. Euphytica, 101(2), 221-230. doi:http://dx.doi.org/10.1023/A:1018358707847
17. Velasco, L., & Mollers, C. (2002). Nondestructive assesment of protein content of single seeds of rapeseed (Brassica napus L.) by near-infrared spectroscopy. Euphytica, 123(1), 89-93. doi:http://dx.doi.org/10.1023/A: 1014452700465
18. Velasco, L., Mollers, C., & Becker, H. (1999). Estimation of seed weight, oil content and fatty acid composition in intact single seeds of rapeseed (Brassica napus L.) by near-infrared reflectance spectroscopy. Euphytica, 106(1), 79-85. doi:http://dx.doi.org/10.1023/A:1003592115110
19. Welle, R., Greten, W., Muller, T., Weber, G., & Wehrmann, H. (2005). Application of near infrared spectroscopy on-combine in corn grain breeding. J. Near Infrared Spectrosc, 13(2), 69-75. doi:http://dx.doi.org/10.1255/jnirs.459
20. Welle, R., Zähle, K., Hildebrand, C., Kräling, K., & Greten, W. (2007). Application of near infrared spectroscopy on-combine for canola breeding. J. Near Infrared Spectrosc., 11(5), 317-325. Retrieved from http://dx.doi.org/10.1255/jnirs.736
21. Westad, F., Schmidt, A., & Kermit, M. (2008). Incorporating chemical band-assignment in near infrared spectroscopy regression models. J. Near Infrared Spectrosc, 16, 265-273. doi:http://dx.doi.org/10.1255/jnirs.786
22. Williams, P. (2008). Chapter 12: Sampling, Sample Preparation, and Sample Selection. In D.A.Burns, & E. Ciurczak, Handbook of Near-Infrared Analysis (pp. 267-296). Boca Raton, Fla.: CRC Press.
23. Williams, P. C. (2001). Implementation of near-infrared technology. In P. Williams, & K. Norris (Eds.), Near-Infrared Technology in the Agricultural and Food Industries (pp. 145-170). St. Paul, Minn.: AACC, Inc.
24. Williams, P. C., & Norris, K. (2001). Variables Affecting Near-Infrared Spectroscopic Analysis. In P. Williams, & K. Norris (Eds.), Near-Infrared Technology in the Agricultural and Food Industries (pp. 171-198). St. Paul, Minn.: AACC, Inc.
25. Williams, P., & Sobering, D. (1993). Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. J. Near Infrared Spectrosc, 1(1). doi:http://dx.doi.org/10.1255/ jnirs.3
26. Workman Jr, J. (1995). Diode array process instrumentation for the near IR. Anal. Spectro. Lib., 6, 369-384. doi:http://dx.doi.org/10.1016/S0926- 4345(06)80027-1