Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy

https://doi.org/10.17221/229/2015-CJFSCitation:Xu J., Huang F., Li Y., Chen Z., Wang Y. (2015): Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy. Czech J. Food Sci., 33: 518-522.
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A method for the rapid and nondestructive determination of total nitrogen content in soy sauce was explored. Prediction models were established using near-infrared spectroscopy combined with each of the following techniques: partial least squares (PLS), interval PLS, synergy interval PLS (siPLS), and backward interval PLS. Results showed that each improved forecast model was better than the PLS model. The siPLS method exhibited the best performance. The full spectrum of light soy sauce was divided into 20 subintervals. The combination of four subintervals, namely, 6, 11, 13, and 18, showed the best effect, with a correlation coefficient of 0.9977 and an RMSECV of 0.0198. The full spectrum of dark soy sauce was divided into 20 subintervals. The combination of three subintervals, namely, 14, 17, and 19, showed the best effect, with a correlation coefficient of 0.9818 and an RMSECV of 0.0640. Therefore, the siPLS method can realise a rapid and accurate detection of total nitrogen content in soy sauce.
References:
Cen Haiyan, Bao Yidan, He Yong, Sun Da-Wen (2007): Visible and near infrared spectroscopy for rapid detection of citric and tartaric acids in orange juice. Journal of Food Engineering, 82, 253-260 https://doi.org/10.1016/j.jfoodeng.2007.02.039
 
Chang Cheng-Wen, Laird David A., Mausbach Maurice J., Hurburgh Charles R. (2001): Near-Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties. Soil Science Society of America Journal, 65, 480- https://doi.org/10.2136/sssaj2001.652480x
 
Chen Q., Zhao J., Liu M., Cai J.(2008): Nondestructive identification of tea (Camellia sinensis L.) varieties using Ft-NIR spectroscopy and pattern recognition. Czech Journal of Food Sciences, 26: 360–367.
 
Chen Quansheng, Ding Jiao, Cai Jianrong, Sun Zongbao, Zhao Jiewen (2012): Simultaneous Measurement of Total Acid Content and Soluble Salt-free Solids Content in Chinese Vinegar Using Near-infrared Spectroscopy. Journal of Food Science, 77, C222-C227 https://doi.org/10.1111/j.1750-3841.2011.02549.x
 
Ferrão Marco Flôres, Viera Mariela de Souza, Pazos Rubén Edgardo Panta, Fachini Daniela, Gerbase Annelise Engel, Marder Luciano (2011): Simultaneous determination of quality parameters of biodiesel/diesel blends using HATR-FTIR spectra and PLS, iPLS or siPLS regressions. Fuel, 90, 701-706 https://doi.org/10.1016/j.fuel.2010.09.016
 
Hiller A., Plazin J., Van Slyke D.D. (1948): A study of conditions for Kjeldahl determination of nitrogen in proteins; description of methods with mercury as catalyst, and titrimetric and gasometric measurements of the ammonia formed. The Journal of Biological Chemistry, 176: 1401–1420.
 
Huang W., Tian F., Liu Z., Yang Q., Zhao X., Yang J. (2013): Wavelength selection for FT-NIR spectroscopic analysis of protein in Chimonobambusa quadrangularis shoot based on ipls and BiPLS models. Food Science, 34: 133–137.
 
Jirsa O., Hrušková M., Švec I. (2007): Bread features evaluation by NIR analysis. Czech Journal of Food Sciences, 25: 243–248.
 
Kataoka Shigehiro (2005): Functional effects of Japanese style fermented soy sauce (shoyu) and its components. Journal of Bioscience and Bioengineering, 100, 227-234 https://doi.org/10.1263/jbb.100.227
 
KATO Jun, KOSEKI Takuma, AOKI Yukie, YAMADA Ayako, TANAKA Tatsuhiko (2013): Coulometric Titration of Urea with Electrogenerated Hypobromite. Analytical Sciences, 29, 753-755 https://doi.org/10.2116/analsci.29.753
 
Li P., Wang J., Cao N., Han D. (2009): Selection of variables for MLR in Vis/NIR spectroscopy based on BiPLS combined with Ga. Spectroscopy and Spectral Analysis, 29: 2637–2641.
 
LIN Fen-Fang, CHEN Zhu-Lu, WANG Ke, DENG Jin-Song, XU Hong-Wei (2009): DETERMINATION OF NITROGEN IN RICE LEAF BASED ON FTIR SPECTRA AND siPLS-GA-PLS ALGORITHM. JOURNAL OF INFRARED AND MILLIMETER WAVES, 28, 277-280 https://doi.org/10.3724/SP.J.1010.2009.00277
 
Lu Q., Tang M., Cai J., Zhao J., Vittayapadung S. (2011): Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits. Czech Journal of Food Sciences, 29: 595–602.
 
Luypaert J., Massart D.L., Vander Heyden Y. (2007): Near-infrared spectroscopy applications in pharmaceutical analysis. Talanta, 72, 865-883 https://doi.org/10.1016/j.talanta.2006.12.023
 
Meng Qi, Hatakeyama Makoto, Sugawara Etsuko (): Formation by yeast of 2-furanmethanethiol and ethyl 2-mercaptopropionate aroma compounds in Japanese soy sauce. Bioscience, Biotechnology, and Biochemistry, 78, 109-114 https://doi.org/10.1080/09168451.2014.877820
 
Norgaard L., Saudland A., Wagner J., Nielsen J. P., Munck L., Engelsen S. B. (2000): Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy. Applied Spectroscopy, 54, 413-419 https://doi.org/10.1366/0003702001949500
 
Pereira Alessandra Félix Costa, Pontes Márcio José Coelho, Neto Francisco Fernandes Gambarra, Santos Sérgio Ricardo Bezerra, Galvão Roberto Kawakami Harrop, Araújo Mário César Ugulino (2008): NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection. Food Research International, 41, 341-348 https://doi.org/10.1016/j.foodres.2007.12.013
 
Ouyang Qin, Zhao Jiewen, Chen Quansheng, Lin Hao, Sun Zongbao (2012): Rapid measurement of antioxidant activity in dark soy sauce by NIR spectroscopy combined with spectral intervals selection and nonlinear regression tools. Analytical Methods, 4, 940- https://doi.org/10.1039/c2ay05766b
 
Růžičková J., Sustová K. (2006): Determination of selected parameters of quality of the dairy products by NIR spectroscopy. Czech Journal of Food Sciences, 24: 255–260.
 
SHI Ji-Yong, ZOU Xiao-Bo, ZHAO Jie-Wen, MAO Han-Ping (2011): Selection of wavelength for strawberry NIR spectroscopy based on BiPLS combined with SAA. JOURNAL OF INFRARED AND MILLIMETER WAVES, 30, 458-462 https://doi.org/10.3724/SP.J.1010.2011.00458
 
Throbäck Ingela Noredal, Enwall Karin, Jarvis ÅSa, Hallin Sara (2004): Reassessing PCR primers targeting nirS, nirK and nosZ genes for community surveys of denitrifying bacteria with DGGE. FEMS Microbiology Ecology, 49, 401-417 https://doi.org/10.1016/j.femsec.2004.04.011
 
Wang Xiaofei, Bao Yanfei, Liu Guili, Li Gang, Lin Ling (2012): Study on the Best Analysis Spectral Section of NIR to Detect Alcohol Concentration Based on SiPLS. Procedia Engineering, 29, 2285-2290 https://doi.org/10.1016/j.proeng.2012.01.302
 
Woo Young-Ah, Kim Hyo-Jin, Ze Keum-Ryon, Chung Hoeil (2005): Near-infrared (NIR) spectroscopy for the non-destructive and fast determination of geographical origin of Angelicae gigantis Radix. Journal of Pharmaceutical and Biomedical Analysis, 36, 955-959 https://doi.org/10.1016/j.jpba.2004.08.037
 
Xu X., Wu H., He H., Huang B., Han J., Ren Y. (2013): Study of chloropropanols in soy sauce by gas chromatography-triple quadrupole mass spectrometry with coupled column separation without derivatisation. Food Additives & Contaminants: Part A, 30: 421–429.
 
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