基于近紅外光譜的單籽粒水稻種子品質(zhì)檢測(cè)的方法研究
發(fā)布時(shí)間：2018-08-13 15:34
【摘要】：近紅外光譜(Near infrared spectroscopy,NIRS)技術(shù)因具有快速、無(wú)損等優(yōu)點(diǎn)已經(jīng)被廣泛的用于定性、定量分析單粒谷物種子,這種分析方式不僅克服了傳統(tǒng)檢測(cè)方法中耗時(shí)長(zhǎng)、工作量較大、不環(huán)保等缺點(diǎn),且能夠更加精確的獲取具有目標(biāo)性狀的種子,有利于種子的品質(zhì)分析、收購(gòu)、儲(chǔ)藏等環(huán)節(jié)的實(shí)時(shí)監(jiān)管。水稻是全球重要的糧食作物之一,由于存在粒徑小、種殼干擾等原因,其在近紅外光譜技術(shù)的分析應(yīng)用方面的研究較少。本論文基于這一研究現(xiàn)狀,細(xì)致分析了單粒糙米和單粒水稻種子的近紅外光譜特點(diǎn),并成功建立相應(yīng)的分析模型,證明了近紅外光譜技術(shù)能夠用于單粒糙米、稻種的無(wú)損品質(zhì)分析。獲得的主要結(jié)果如下:1)建立單粒糙米水分含量的近紅外漫反射光譜模型,結(jié)果表明:采用5292～5616cm-1、7236～7600cm-1、7884-8208cm-1波數(shù)范圍,用標(biāo)準(zhǔn)正態(tài)變換光譜預(yù)處理(SNV)建立的單粒糙米水分偏最小二乘(PLS)模型的預(yù)測(cè)能力最佳,其決定系數(shù)(R2)為0.98,預(yù)測(cè)誤差均方根(RMSEP)為1.01%;采用8285.12cm-1、7158.84cm-1、5492.56cm-1這3個(gè)波數(shù)變量建立的單粒糙米含水量多元線性回歸(MLR)模型,變量最少且預(yù)測(cè)能力較優(yōu),其R2為0.9661,RMSEP為1.137%。2)分析了糙米和水稻種子的近紅外光譜特征,并細(xì)致對(duì)比了不同光譜采集方式和不同光譜預(yù)處理下單粒糙米和單粒種子蛋白質(zhì)模型。單粒糙米的蛋白質(zhì)定量分析中,透射和透反射光譜采集方式下均能建立較好的近紅外光譜蛋白質(zhì)模型;其中在透反射光譜采集方式下,選擇4000～9000cm-1波數(shù)范圍,SNV光譜預(yù)處理下,單粒糙米的蛋白質(zhì)模型的R2為0.941,RMSEP為0.338%。單粒水稻種子光譜對(duì)其糙米蛋白質(zhì)含量的定量分析中,透反射光譜能夠增強(qiáng)光譜的信噪比,選擇6500～9100cm-1波數(shù)范圍和SNV光譜預(yù)處理,其模型的RMSEP為0.806%,具有一定的相關(guān)性;而透射光譜采集方式下,選擇7200～9100cm-1波數(shù)范圍和SNV光譜預(yù)處理,單粒種子光譜和其糙米蛋白質(zhì)含量的相關(guān)性極好,模型的R2為0.964,RMSEP為0.244%。這一結(jié)果表明近紅外光譜技術(shù)能夠用于單粒糙米和單粒水稻種子的無(wú)損定量分析。3)研究了低溫等離子體對(duì)糙米生長(zhǎng)活力的影響,并采用主成分分析方法對(duì)處理后的糙米近紅外光譜進(jìn)行初步定性分析。結(jié)果顯示:空氣氣氛下等離子體對(duì)糙米生長(zhǎng)初期活力的促進(jìn)效果要優(yōu)于氮?dú)鈿夥?空氣氣氛下最佳處理?xiàng)l件為360W-5分鐘,氮?dú)鈿夥障伦罴烟幚項(xiàng)l件為360W-10分鐘,PCA結(jié)果證明經(jīng)等離子體處理后糙米的近紅外光譜與未處理糙米的光譜之間存在差異,說(shuō)明等離子體處理改變了糙米的物理化學(xué)性狀,且近紅外光譜技術(shù)具有潛力應(yīng)用于初期評(píng)估等離子體對(duì)糙米的作用及效果。
[Abstract]:Near-infrared spectroscopy (Near infrared) technique has been widely used in qualitative and quantitative analysis of single grain seeds because of its advantages of fast and nondestructive. This method not only overcomes the time-consuming and heavy workload of traditional detection methods, but also has the following advantages: (1) Near-infrared spectroscopy (NIR) has been widely used for qualitative and quantitative analysis of single grain seeds. Not environmental protection and other shortcomings, and more accurate access to seeds with target traits, conducive to seed quality analysis, acquisition, storage and other links of real-time supervision. Rice is one of the most important food crops in the world. Because of the small particle size and the interference of seed shell, there is little research on the analysis and application of near infrared spectroscopy (NIR). Based on the present research situation, the characteristics of NIR spectra of single brown rice and single grain rice seed were analyzed in detail, and the corresponding analysis model was established successfully, which proved that NIR spectroscopy technology could be used in single brown rice. Non-destructive quality analysis of rice seeds. The main results obtained are as follows: (1) the near infrared diffuse reflectance spectral model of water content of single brown rice is established. The results show that the wave number range of 7884-8208 cm-1 is 7884-8208 cm ~ (-1) using 5292 ~ 1 ~ 5616 cm ~ (-1) ~ (-1) ~ 7236n ~ 7600cm ~ (-1) and 7884-8208 cm ~ (-1). The partial least square (PLS) model of water content in single brown rice pretreated with standard normal transform spectrum (SNV) has the best prediction ability. The coefficient of determination (R2) is 0.98, the root mean square (RMSEP) of prediction error is 1.01.The multivariate linear regression (MLR) model of water content of single brown rice is established by using the three wavenumber variables of 8285.12cm-1a 7158.84cm-1n-1 5492.56 cm ~ (-1). The RMSEP (R2 = 0.9661) was used to analyze the near infrared spectra of brown rice and rice seeds, and the models of order grain brown rice and single seed protein were compared in detail. In protein quantitative analysis of single brown rice, a better protein model of near infrared spectrum can be established under transmission and transmission spectrum acquisition, in which the 4000~9000cm-1 wave number range is chosen to be pretreated with SNV spectrum. The R2 of single brown rice protein model was 0.941 and RMSEP was 0.3338. In the quantitative analysis of protein content in brown rice by single grain rice seed spectrum, the transmittance reflectance spectrum can enhance the signal-to-noise ratio of the spectrum. The range of 6500~9100cm-1 wave number and the pretreatment of SNV spectrum are selected. The RMSEP of the model is 0.806, which has certain correlation. However, the correlation between the single seed spectrum and the protein content of brown rice was excellent when the range of 7200~9100cm-1 wave number and the pretreatment of SNV spectrum were selected. The R2 of the model was 0.964RMSEP 0.244. The results showed that Near-infrared spectroscopy could be used for quantitative analysis of single brown rice and rice seeds. The effects of low temperature plasma on the growth activity of brown rice were studied. The method of principal component analysis (PCA) was used to analyze the NIR spectra of brown rice. The results showed that the effect of plasma on the initial vigor of brown rice was better than that in nitrogen atmosphere, and the best treatment condition was 360W-5 minutes. The optimum treatment conditions in nitrogen atmosphere were as follows: the results of 360W-10 showed that there were differences between the near infrared spectra of brown rice treated by plasma and those of untreated brown rice, which indicated that plasma treatment changed the physical and chemical properties of brown rice. Near-infrared spectroscopy has the potential to be used to evaluate the effect of plasma on brown rice.
【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：S511
本文編號(hào)：2181410
[Abstract]:Near-infrared spectroscopy (Near infrared) technique has been widely used in qualitative and quantitative analysis of single grain seeds because of its advantages of fast and nondestructive. This method not only overcomes the time-consuming and heavy workload of traditional detection methods, but also has the following advantages: (1) Near-infrared spectroscopy (NIR) has been widely used for qualitative and quantitative analysis of single grain seeds. Not environmental protection and other shortcomings, and more accurate access to seeds with target traits, conducive to seed quality analysis, acquisition, storage and other links of real-time supervision. Rice is one of the most important food crops in the world. Because of the small particle size and the interference of seed shell, there is little research on the analysis and application of near infrared spectroscopy (NIR). Based on the present research situation, the characteristics of NIR spectra of single brown rice and single grain rice seed were analyzed in detail, and the corresponding analysis model was established successfully, which proved that NIR spectroscopy technology could be used in single brown rice. Non-destructive quality analysis of rice seeds. The main results obtained are as follows: (1) the near infrared diffuse reflectance spectral model of water content of single brown rice is established. The results show that the wave number range of 7884-8208 cm-1 is 7884-8208 cm ~ (-1) using 5292 ~ 1 ~ 5616 cm ~ (-1) ~ (-1) ~ 7236n ~ 7600cm ~ (-1) and 7884-8208 cm ~ (-1). The partial least square (PLS) model of water content in single brown rice pretreated with standard normal transform spectrum (SNV) has the best prediction ability. The coefficient of determination (R2) is 0.98, the root mean square (RMSEP) of prediction error is 1.01.The multivariate linear regression (MLR) model of water content of single brown rice is established by using the three wavenumber variables of 8285.12cm-1a 7158.84cm-1n-1 5492.56 cm ~ (-1). The RMSEP (R2 = 0.9661) was used to analyze the near infrared spectra of brown rice and rice seeds, and the models of order grain brown rice and single seed protein were compared in detail. In protein quantitative analysis of single brown rice, a better protein model of near infrared spectrum can be established under transmission and transmission spectrum acquisition, in which the 4000~9000cm-1 wave number range is chosen to be pretreated with SNV spectrum. The R2 of single brown rice protein model was 0.941 and RMSEP was 0.3338. In the quantitative analysis of protein content in brown rice by single grain rice seed spectrum, the transmittance reflectance spectrum can enhance the signal-to-noise ratio of the spectrum. The range of 6500~9100cm-1 wave number and the pretreatment of SNV spectrum are selected. The RMSEP of the model is 0.806, which has certain correlation. However, the correlation between the single seed spectrum and the protein content of brown rice was excellent when the range of 7200~9100cm-1 wave number and the pretreatment of SNV spectrum were selected. The R2 of the model was 0.964RMSEP 0.244. The results showed that Near-infrared spectroscopy could be used for quantitative analysis of single brown rice and rice seeds. The effects of low temperature plasma on the growth activity of brown rice were studied. The method of principal component analysis (PCA) was used to analyze the NIR spectra of brown rice. The results showed that the effect of plasma on the initial vigor of brown rice was better than that in nitrogen atmosphere, and the best treatment condition was 360W-5 minutes. The optimum treatment conditions in nitrogen atmosphere were as follows: the results of 360W-10 showed that there were differences between the near infrared spectra of brown rice treated by plasma and those of untreated brown rice, which indicated that plasma treatment changed the physical and chemical properties of brown rice. Near-infrared spectroscopy has the potential to be used to evaluate the effect of plasma on brown rice.
【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：S511
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