Quick determination method of milk powder quality by near-infrared spectroscopy

Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery

Volumn 40, Issue 7, 2009, Pages

  Yan, Hui ^a,b   Chen, Bin ^a   Zhu, Wenjing ^a  

^a JIANGSU UNIVERSITY   (China)

^b JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Milk power; Near infrared spectroscopy; Quality detection; Wavelength selection; Wavelet denoise

Indexed keywords

MILK POWER; NEAR-INFRARED SPECTROSCOPY; QUALITY DETECTION; WAVELENGTH SELECTION; WAVELET DENOISE;

CALIBRATION; DAIRY PRODUCTS; INFRARED SPECTROMETERS; PERSONAL DIGITAL ASSISTANTS; PILE FOUNDATIONS; POWDERS; SPECTROMETRY; SPECTROSCOPIC ANALYSIS; TEXTILES; WAVELENGTH;

INFRARED SPECTROSCOPY;

EID: 68249110370     PISSN: 10001298     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Sandor Barabássy. The application of near infrared spectroscopy (NIR) technique for non-destructive investigation of mixed milk powder products[J]. Mljekarstvo, 2001, 51(3): 263-272.
2. Zhao Yong, Liu Zhicun, Wang Zhongyi, et al. The investigation on fast detection for quality of milk powder by using near infrared spectroscopy[J]. Modern Scientific Instruments, 2006(4): 98-99. (in Chinese)
3. Wu Jingzhu, Wang Yiming, Zhang Xiaochao, et al. Study on quality detection of milk powder based on near infrared spectroscopy (NIR)[J]. Spectroscopy and Spectral Analysis, 2007, 27(9): 1735-1738. (in Chinese)
4. Chu Xiaoli, Yuan Hongfu, Lu Wanzhen. Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J]. Progress in Chemistry, 2004, 16(4): 528-542. (in Chinese)
5. Hao Yong, Chen Bin, Zhu Rui. Analysis of several methods for wavelet denoising used in near infrared spectrum pretreatment[J]. Spectroscopy and Spectral Analysis, 2006, 26(10): 1838-1841. (in Chinese)
6. Shao Xueguang, Cai Wensheng. Wavelet analysis and analytical signal processing[J]. Computers and Applied Chemistry, 1999, 16(5): 329-330. (in Chinese)
7. Balabin R M, Safieva R Z, Lomakina E I. Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra[J]. Chemometrics and Intelligent Laboratory Systems, 2008, 93(1): 58-62.
8. Pascal C, Serge W, Michel U. Combined wavelet transform-artificial neural network use in tablet active content determination by near-infrared spectroscopy[J]. Analytica Chimica Acta, 2007, 591(2): 219-224.
9. Xia Junfang, Li Peiwu, Li Xiaoyu, et al. Effect of different pretreatment method of nondestructive measure vitamin C content of umbilical orange with near-infrared spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery, 2007, 38(6): 107-111. (in Chinese)
10. Chen Bin, Huang Chuanxu, Li Guoquan, et al. Application research of modulus maximum in near infrared spectroscopic analysis[J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(5): 65-67, 52. (in Chinese)
11. Liu Fei, He Yong. Classification of brands of instant noodles using Vis/NIR spectroscopy and chemometrics[J]. Food Research International, 2008, 41(5): 562-567.
12. Wu Di, He Yong, Feng Shuijuan. Short-wave near-infrared spectroscopy analysis of major compounds in milk powder and wavelength assignment[J]. Analytica Chimica Acta, 2008, 610(2): 232-242.
13. Dong Yiwei, Ji Baoping, Shi Bolin, et al. CCD-NIR analysis of acidity and sugar content in apples[J]. Food Science, 2007, 28(8): 376-380. (in Chinese)