本文選題：金線蓮 + 近紅外光譜�。� 參考：《福建中醫(yī)藥大學(xué)》2017年碩士論文

【摘要】：金線蓮Anoectochilus roxburghii為蘭科花葉開唇蘭屬的一種多年生珍貴中草藥。目前市場上以栽培品為主,品種繁多,來源復(fù)雜,以次充好,缺乏科學(xué)的評(píng)價(jià)標(biāo)準(zhǔn),摻偽摻假嚴(yán)重。近紅外光譜技術(shù)具有無損、快速、綠色特點(diǎn),本研究借鑒其在定性定量分析的優(yōu)勢(shì),收集栽培品金線蓮(尖葉、大圓葉、小圓葉)、臺(tái)灣金線蓮、紅霞,野生品斑葉蘭、血葉蘭等樣品,構(gòu)建NIRS模型實(shí)現(xiàn)金線蓮質(zhì)量快速檢測的目的,以期為日后品質(zhì)評(píng)價(jià)研究提供科學(xué)依據(jù)。具體研究內(nèi)容如下:1、基于NIR-PCA技術(shù)構(gòu)建聚類分析模型快速區(qū)分金線蓮及其偽品斑葉蘭和血葉蘭。以Q值、Cluster per Property、Spectra Residuals too big和Property Residuum為模型評(píng)價(jià)指標(biāo),選取4400-4800、5400-6600、7800-10000cm-1為建模波段,nle和dg1光譜預(yù)處理方式,建立金線蓮及其偽品的定性判別模型,準(zhǔn)確度為98%,模型預(yù)測性良好。2、基于NIR-PCA技術(shù)構(gòu)建聚類分析模型快速區(qū)分不同栽培方式(3個(gè)月瓶苗、4個(gè)月瓶苗及入土種植6個(gè)月的種植苗)的金線蓮,以Q值、Cluster per Property、Spectra Residuals too big和Property Residuum為模型評(píng)價(jià)指標(biāo),選取5000-1OOOOcm-1 為建模波段,nle和dg1光譜預(yù)處理方式,建立不同栽培方式金線蓮的定性判別模型,準(zhǔn)確度為80%。3、基于NIR-PCA技術(shù)構(gòu)建聚類分析模型快速區(qū)分不同栽培方式的尖葉、大圓葉、紅霞、及臺(tái)灣金線蓮,包括3個(gè)月瓶苗、4個(gè)月瓶苗及入土種植6個(gè)月的種植苗,以Q值、Cluster per Property、Spectra Residuals too big和Property Residuum為模型評(píng)價(jià)指標(biāo),4個(gè)模型Q值均大于0.9,準(zhǔn)確度達(dá)100%,各模型預(yù)測性良好。4、采用UPLC法檢測金線蓮中黃酮類成分及含量,并基于NIR-PLS技術(shù)構(gòu)建金線蓮黃酮類成分定量分析模型。4.1建立UPLC法同時(shí)檢測113批金線蓮中水仙苷、蘆丁、槲皮素、山奈酚和異鼠李素5種黃酮類成分。5種黃酮類成分在考察的濃度范圍內(nèi)呈較好的線性關(guān)系(R20.9999),平均加樣回收率和RSD分別在97.06%-106.17%和3.17%-6.24%內(nèi)。113批檢測樣品中水仙苷、蘆丁、槲皮素、山奈酚和異鼠李素的含量范圍分別為217.17-2243.26ug.g-1、15.95-1414.26ug.g-1、11.87-267.07ug.g-1、15.58-165.21ug.g-1、13.54-86.4ug.g-1。4.2基于NIR-PLS技術(shù),Sa3+SNV光譜預(yù)處理方法,以全光譜為分析波段,構(gòu)建金線蓮水仙苷成分定量模型,其中SEC、SEP、Rc、Rv及Q值分別為0.134、0.147、0.974、0.969、0.792,定標(biāo)模型的線性和相關(guān)系數(shù)分別為f(X)=0.9478X+0.0551,r=0.9736,并預(yù)測10批樣品含量,平均相對(duì)偏差為6.09%,表明模型具有較好的預(yù)測性能。4.3基于NIR-PLS技術(shù),SNV+MSC光譜預(yù)處理方法,以全光譜為分析波段,構(gòu)建金線蓮蘆丁成分定量模型,其中SEC、SEP、Rc、Rv及Q值分別為0.024、0.022、0.978、0.969、0.866,定標(biāo)模型的線性和相關(guān)系數(shù)分別為f(X)=0.9569X+0.0062,r=0.9782,并預(yù)測10批樣品含量,平均相對(duì)偏差為4.50%。4.4基于NIR-PLS技術(shù),MSC+Sa3光譜預(yù)處理方法,以全光譜為分析波段,構(gòu)建金線蓮槲皮素成分定量模型,其中SEC、SEP、Rc、Rv及Q值分別為15.508、16.732、0.962、0.950、0.430,定標(biāo)模型的線性和相關(guān)系數(shù)分別為f(X)=0.9263X+7.8829,r=0.9625,并預(yù)測10批樣品含量,平均相對(duì)偏差為8.15%。
[Abstract]:Anoectochilus roxburghii is a precious perennial herb of the genus Cymbidium of Orchidaceae. At present, the market is mainly cultivated in the market. There are many varieties, complex source, good inferior, lack of scientific evaluation standard and serious adulteration. The near infrared spectroscopy has the characteristics of non loss, fast and green. This study is used for reference to the qualitative determination. The advantage of quantitative analysis is to collect the samples of cultivated varieties of golden thread Lotus (apex leaf, large round leaf, small round leaf), Taiwan gold wire lotus, Hongxia, wild leaf and leaf blue, blood leaf blue and so on, to construct NIRS model to realize the rapid test of quality of the quality of gold thread, in order to provide scientific basis for the study of quality evaluation in the future. The specific contents are as follows: 1, based on the technology of NIR-PCA construction. Q, Cluster per Property, Spectra Residuals too big and Property Residuum are the model evaluation indexes, and 4400-48005400-66007800-10000cm-1 as the modeling band, NLE and spectral preprocessing formula are selected to establish the qualitative discriminant model of the gold thread lotus and its artifact. Type, the accuracy is 98%, the model predictability is good.2. Based on the NIR-PCA technology, the cluster analysis model is constructed to distinguish different cultivation methods (3 months bottle, 4 months bottle and 6 month planting seedlings), with Q value, Cluster per Property, Spectra Residuals too big and Property Residuum as the model evaluation index, select 5000 -1OOOOcm-1 for the modeling band, NLE and DG1 spectrum pretreatment methods, the qualitative discriminant model of different cultivation methods was established, the accuracy was 80%.3. Based on NIR-PCA technology, the cluster analysis model was constructed to quickly distinguish the tip leaves of different cultivation methods, big round leaves, Hongxia, and Taiwan Golden Lotus, including 3 months bottle seedlings, 4 months bottle seedlings and 6 soil planting. Q value, Cluster per Property, Spectra Residuals too big and Property Residuum are the model evaluation indexes for the planting seedlings of the month. The 4 model Q values are both greater than 0.9, the accuracy is 100%, the models are well predicate.4. The quantitative analysis model.4.1 established the UPLC method for the simultaneous determination of the 5 flavonoids of the 113 batches of Narcissus, rutin, quercetin, ananolol and isomanrin, which had a better linear relationship (R20.9999) in the concentration range (R20.9999). The average recovery rate and RSD were detected in.113 batch in 97.06%-106.17% and 3.17%-6.24%, respectively. The content range of narcissuin, rutin, quercetin, kaempferol and isosamin is 217.17-2243.26ug.g-1,15.95-1414.26ug.g-1,11.87-267.07ug.g-1,15.58-165.21ug.g-1,13.54-86.4ug.g-1.4.2 based on NIR-PLS technology and Sa3+SNV spectrum pretreatment method. The quantitative model of Narcissus is constructed with full spectrum as the analytical band. The SEC, SEP, Rc, Rv and Q values are 0.134,0.147,0.974,0.969,0.792 respectively. The linear and correlation coefficients of the calibration model are f (X) =0.9478X+0.0551, r=0.9736, respectively, and the average relative deviation is 6.09%. It shows that the model has good predictive performance based on NIR-PLS technology, spectral preprocessing method, with full spectrum. The quantitative model of rutin was constructed for the analysis band, in which the values of SEC, SEP, Rc, Rv and Q were 0.024,0.022,0.978,0.969,0.866 respectively. The linear and correlation coefficients of the calibration model were f (X) =0.9569X+0.0062, r=0.9782, and the 10 batch of samples were predicted. Ping Junxiang's deviation was 4.50%.4.4 based on NIR-PLS technology. The quantitative model of quercetin was constructed with full spectrum, in which the values of SEC, SEP, Rc, Rv and Q were 15.508,16.732,0.962,0.950,0.430 respectively. The linear and correlation coefficients of the calibration model were f (X) =0.9263X+7.8829 and r=0.9625 respectively, and the content of 10 samples was predicted, and the average relative deviation was 8.15%..
【學(xué)位授予單位】：福建中醫(yī)藥大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R284.1;O657.33

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