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Study on Nondestructive Detection with Net for Intact Hosui Pear by Online Spectroscopy |
LIU Yan-de, WU Ming-ming, SUN Xu-dong, ZHU Dan-ning, HAN Ru-bing, CHENG Meng-jie, YE Ling-yu, YE Shuang-hui |
Institute of Optical and Electrical Machinery Technology and Application,East China Jiaotong University, Nanchang 330013, China |
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Abstract Subsurface damage and soluble solid content (SSC) are important indexes for evaluating the quality of hosui pear. The feasibility was discussed for nondestructive detecting with net for SSC of intact hosui pear by online visible-near infrared (visible-NIR) transmittance spectroscopy. Ten tungsten halogen lamps were installed in a sorting line. The total power of lamp was 1 000 watt. The spectra were recorded with the integration time of 80 ms in the wavelength range of 600~900 nm when the samples were conveyed at the speed of five samples per second. The light sources were illuminated from both sides of the production line, and the detector received light from the bottom of the fruit cup. The spectrum of each sample was recorded automatically by use of the hardware trigger mode. The index plate and driving gear were mounted on the same shaft. The location of the index plate's tooth was matched with the location of the fruit cup. Hall sensor was placed at a height of 2 mm above the tooth of the index plate. When the index plate turned one tooth, a Hall sensor sent a 3.5 V high frequency signal to trigger spectrometer to save one spectrum. The response properties of visible-NIR spectra for normal pears and pears with net were analyzed. The effective information of the spectra of pears with net was reduced, and the new method of polynomial fitting was used to eliminate this problem. The influence of pears with net on SSC determination was also explored by partial least square (PLS) regression models, and PLS model was employed with normal pears and pears with net. The robust model was developed by the spectra which eliminates the influence of net by binomial fitting. Therefore, a new strategy was proposed for detection of SSC of intact pears by online visible-NIR transmittance spectroscopy. The new samples, which were not used in the calibration, were used to access the abilities of predicting SSC of intact pears. The accuracy of sorting grade was 94.4% according to the SSC values and the SEP was 0.328°Brix of predicting SSC. The results showed that nondestructive detecting with net for SSC of intact hosui pear was feasible by visible-NIR transmittance spectroscopy. The research can provide technical support and reference basis for grading of mass fruits quality.
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Received: 2016-06-15
Accepted: 2016-10-24
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