Non-destructive measurement of soluble solid content in Gannan navel oranges by visible/near-infrared spectroscopy

Guangxue Xuebao/Acta Optica Sinica

Volumn 28, Issue 3, 2008, Pages 478-481

  Liu, Yande ^a   Chen, Xingmiao ^a   Ouyang, Aiguo ^b  

^a JIANGXI AGRICULTURAL UNIVERSITY   (China)

^b JIANGXI BLUESKY UNIVERSITY   (China)

Author keywords

Artificial neural network; Medical optics and biotechnology; Non destructive measurement; Principal component analysis; Soluble solid contents Gannan navel oranges; Visible near infrared spectroscopy

Indexed keywords

BIOTECHNOLOGY; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PRINCIPAL COMPONENT ANALYSIS;

ARTIFICIAL NEURAL NETWORK; MEDICAL OPTICS; NONDESTRUCTIVE MEASUREMENT; SOLUBLE SOLID CONTENTS GANNAN NAVEL ORANGES; VISIBLE/NEAR INFRARED SPECTROSCOPY;

LIGHT MEASUREMENT;

EID: 41949135000     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: 10.3788/AOS20082803.0478     Document Type: Article

References (16)

1. Lu Wanzhen, Yuan Hongfu, Xu Guangtong et al.. The Modern Analysis Technique for Near-infrared Spectra[M]. Beijing: China Petrochemical Press, 2000. 19-26
2. Yan Yanlu, Zhao Longlian, Han Donghai et al.. The Foundation and Application of Near-Infrared Spectroscopy Analysis[M]. Beijing: China Light Industry Press, 2005. 8-9
3. V. Andraw McGlone, Robert B. Jordan, Paul J. Martinsen. Vis/NIR estimation at harvest of pre- and post-storage quality indices for 'Royal Gala' apple[J]. Postharvest Biology and Technology, 2002, 25(2): 135-144
4. Yande Liu, Yibin Ying. Use of FT-NIR spectrometry in non-invasive measurement of internal quality of 'Fuji' apples[J]. Postharvest Biology and Technology, 2005, 37(1): 65-71
5. Zhao Jiewen, Zhang Haidong, Liu Muhua. Preprocessing methods of near-infrared spectra for simplifying prediction model of sugar content of apples[J]. Acta Optica Sinica, 2006, 26(1): 136-140
6. Y. D. Liu, Y. B. Ying. Rapid determination of maturity in apple using outlier detection and calibration model optimization[J]. Trans. of ASAE, 2006, 49(1): 91-95
7. Yongni Shao, Yong He. Nondestructive measurement of the internal quality of bayberry juice using Vis/NIR spectroscopy[J]. J. Food Engineering, 2007, 79(3): 1015-1019
8. Liu Yande, Luo Ji, Ouyang Aiguo. Visible transmittance techniques for rapid analysis of sugar content of fresh navel orange juices[J]. Spectroscopy and Spectral Analysis, 2007, 27(3): 569-572
9. Zou Xiaobo, Zhao Jiewen. Methods of characteristic wavelength region and wavelength selection based on genetic algorithm[J]. Acta Optica Sinica, 2007, 27(7): 1316-1321
10. Yixin Chen, Shilpa S. Thosar, Reba A. Forbess et al.. Prediction of drug content and hardness of intact tablets using artificial neural network and near-infrared spectroscopy[J]. Drug Development and Industrial Pharmacy, 2001, 27(7): 623-631
11. Yongni Shao, Yong He, Yanyan Wang. A new approach to discriminate varieties of tobacco using vis/near infrared spectra[J]. Eur. Food Res. Technol., 2007, 224(5): 591-596
12. Yiqun Huang, Lars J. Kangas, Barbara A. Rasco. Applications of artificial neural networks (ANNs) in food science[J]. Critical Reviews in Food Science and Nutrition, 2007, 47(2): 113-126
13. Qi Xiaoming, Zhang Luda, Du Xiaolin et al.. Quantitative analysis using NIR by building PLS-BP model[J]. Spectroscopy and Spectral Analysis, 2003, 23(5): 870-872
14. He Yong, Li Xiaoli, Shao Yongni. Discrimination of varieties of apple using near infrared spectra based on principal component analysis and artificial neural network model[J]. Spectroscopy and Spectral Analysis, 2006, 26(5): 850-853
15. Zhu 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
16. Xu Lu, Shao Xueguang. Methods of Chemometrics[M]. Beijing: Science Press, 2004. 284-285