Near-infrared inspection method for rice quality and application thereof
A near-infrared detection and near-infrared technology, which is applied in the field of near-infrared detection of rice quality, can solve the problems of many spectra, unclear spectral characteristic wavelengths, and few reports of prediction models, and achieves fast prediction speed, improved accuracy, and rapid detection. Effect
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Embodiment 1
[0095] Embodiment 1: the establishment of the near-infrared model of rice protein
[0096] (1) Extensive collection of typical rice samples: The rice samples were provided by the Huanggang Agricultural College in Hubei Province, and the 46 sample varieties are shown in Table 1. Part of the samples were mixed evenly according to the ratio of 1:1 and 1:2 to obtain 44 new samples, 90 samples in total, that is, n=90. Adopt national standard method 【8】 Determination of the protein content, the basic statistics of the protein content of rice samples are shown in Table 2.
[0097] Table 2 Basic statistical data of rice protein content. (%)
[0098]
[0099] (2) Use the SupNIR-2720 near-infrared spectrometer to collect the spectrum. The measurement range of the spectrum is 1000-1799nm, and the spectral step is 1nm. In order to reduce the error, each sample is scanned 3 times. Before scanning, the instrument is preheated for 30 minutes, and the scanning The data is stored in the fo...
Embodiment 2
[0112] Example 2: Establishment of a near-infrared model of rice total sugar, fat, ash, brown rice moisture and polished rice protein
[0113] (1) Use a huller to remove the husks to obtain 46 varieties of brown rice, and remove the bran powder from the brown rice with a rice mill to obtain 46 varieties of polished rice. Some brown rice samples were mixed in pairs at a ratio of 1:1 to obtain 20 mixed samples, a total of 66 brown rice samples, and some polished rice samples were mixed in pairs at a ratio of 1:1 to obtain 20 mixed samples, a total of 66 polished rice samples.
[0114] (2) Determination of total sugar in rice with the method of national standard 【11】 ,Fat 【9】 , ash 【12】 , brown rice moisture 【10】 and polished rice protein 【8】 . Wherein the basic statistical data of brown rice moisture and polished rice protein test results are shown in Table 5 and Table 6.
[0115] The basic statistical data (%) of moisture content of brown rice of table 5
[0116]
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Embodiment 3
[0141] Embodiment 3: the establishment and detection of the near-infrared model of the broken rice rate, chaff rate, polished rice rate of rice, and the bran flour rate of brown rice
[0142] (1) Spectrum scanning of paddy, brown rice and polished rice, spectral denoising, pretreatment, method is the same as embodiment 1.
[0143] (2) Screening of characteristic wavelength, method is the same as embodiment 1.
[0144] (3) The broken rice rate of rice, chaff rate, polished rice rate, the establishment of the near-infrared model of the bran flour rate of brown rice, method is the same as embodiment 1.
[0145] Among them, the prediction model of rice husk rate built is as follows:
[0146] Chaff rate:
[0147] z 6 =242.98+237.70B 1127 -334.69B 1264 -229.12B 1446 +254.35B 1495
[0148] -251.58B 1597
[0149] Broken rice rate:
[0150] z 8 =4405.08+5499.36B 1183 -7169.48B 1243 -4562.46B 1579 +5392B 1584
[0151] -5103.13B 1723
[0152] Bran flour rate:
[0153]...
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