本文選題：近紅外光譜 + 無(wú)創(chuàng)血糖檢測(cè)��； 參考：《天津大學(xué)》2012年碩士論文

【摘要】：利用近紅外光譜分析技術(shù)進(jìn)行人體血糖濃度測(cè)量具有巨大的發(fā)展前景和重要的現(xiàn)實(shí)意義,但是該技術(shù)在實(shí)際應(yīng)用中卻遇到了相當(dāng)?shù)碾y度,其測(cè)量精度極易受到其它因素的影響。其中一個(gè)重要因素是血液中的其他成分會(huì)對(duì)血糖濃度的近紅外無(wú)創(chuàng)檢測(cè)產(chǎn)生影響。 基于此,論文首先從描述血液中其他成分與血糖的關(guān)系出發(fā),對(duì)人體血液成分進(jìn)行了生化分析、臨床分析及光譜分析。結(jié)果表明:正常人和糖耐量受損患者血液中葡萄糖與其他各成分的變化關(guān)系不顯著;而糖尿病患者血液中葡萄糖與膽固醇和總蛋白的濃度變化卻呈現(xiàn)負(fù)相關(guān),盡管與其他成分的變化關(guān)系不顯著血液中其他成分與葡萄糖的近紅外吸收光譜有重疊,其中膽固醇和葡萄糖的近紅外吸收光譜重疊最嚴(yán)重。 其次,以膽固醇為研究對(duì)象,通過(guò)實(shí)驗(yàn)研究膽固醇對(duì)近紅外無(wú)創(chuàng)血糖檢測(cè)的影響。實(shí)驗(yàn)方法為:首先,測(cè)量不同濃度的葡萄糖溶液和膽固醇溶液的近紅外吸收光譜,比較二者光譜譜峰的差異;然后,在不同濃度葡萄糖溶液中加入一定濃度的膽固醇,觀察溶液近紅外光譜的變化情況,并求出譜峰位置處的吸光度變化率;最后,采用偏最小二乘(PLS)法對(duì)加入膽固醇前后的葡萄糖溶液光譜數(shù)據(jù)進(jìn)行處理,建立葡萄糖濃度的預(yù)測(cè)模型,并對(duì)各模型進(jìn)行分析評(píng)價(jià)。實(shí)驗(yàn)結(jié)果表明,膽固醇對(duì)血糖濃度的近紅外檢測(cè)結(jié)果有影響,具體的影響關(guān)系為葡萄糖的測(cè)量濃度隨著膽固醇的濃度增加而線性增大,并給出了膽固醇影響的定量關(guān)系式。 最后,基于以上研究,給出了基于基準(zhǔn)波長(zhǎng)來(lái)修正膽固醇對(duì)血糖近紅外檢測(cè)影響的修正方法:首先用基準(zhǔn)波長(zhǎng)法精確地測(cè)量混合溶液中膽固醇的濃度,然后求出由膽固醇引起的葡萄糖濃度測(cè)量結(jié)果的增量,最后從葡萄糖濃度的測(cè)量值中扣除此增量。并采用此方法對(duì)近紅外光譜下血糖濃度的預(yù)測(cè)效果進(jìn)行了實(shí)驗(yàn)研究。實(shí)驗(yàn)結(jié)果表明,用此方法修正后葡萄糖預(yù)測(cè)模型的預(yù)測(cè)精度有了一定的提高,提高幅度最高可達(dá)38.36%,平均為29.42%。初步證明了本文提出的修正方法具有可行性和有效性。
[Abstract]:The application of near infrared spectroscopy (NIR) to the measurement of human blood glucose concentration has great development prospects and important practical significance. However, it has encountered considerable difficulties in practical application, and its measuring accuracy is easily affected by other factors. An important factor is the effect of other components in the blood on near-infrared non-invasive detection of blood glucose levels. Based on this, the paper first describes the relationship between other blood components and blood sugar, and carries out biochemical analysis, clinical analysis and spectral analysis of human blood components. The results showed that there was no significant relationship between blood glucose and other components in normal subjects and patients with impaired glucose tolerance, but there was a negative correlation between the concentration of glucose and cholesterol and total protein in diabetic patients. Although there is no significant relationship between the changes of other components and the other components of blood, there is overlap between the other components of blood and the near infrared absorption spectra of glucose, among which cholesterol and glucose have the most serious overlap in near infrared absorption spectra. Secondly, the effect of cholesterol on non-invasive near-infrared blood glucose detection was studied experimentally. The experimental methods are as follows: first, the near infrared absorption spectra of different concentrations of glucose solution and cholesterol solution were measured, and the differences between the two spectral peaks were compared. The changes of near infrared spectra of the solution were observed, and the absorbance change rate at the peak position was calculated. Finally, the spectral data of glucose solution before and after cholesterol addition were processed by partial least squares (PLS) method. The prediction model of glucose concentration was established, and each model was analyzed and evaluated. The experimental results show that cholesterol has an effect on the results of near-infrared detection of blood glucose concentration. The specific relationship is that the measured concentration of glucose increases linearly with the increase of cholesterol concentration, and the quantitative relationship of the effect of cholesterol is given. Finally, based on the above research, a correction method based on the reference wavelength to correct the effect of cholesterol on the near infrared detection of blood glucose is given. Firstly, the concentration of cholesterol in mixed solution is accurately measured by the reference wavelength method. Then the increment of glucose concentration caused by cholesterol is obtained, and the increment is deducted from the measured value of glucose concentration. The prediction effect of blood glucose concentration in near-infrared spectrum was studied by using this method. The experimental results show that the prediction accuracy of the modified glucose prediction model has been improved to a certain extent, and the maximum range can be up to 38.36, with an average of 29.42. It is proved that the proposed method is feasible and effective.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：R318.51

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