近红外漫反射光谱法快速测定山药药材中水、醇浸出物含量

目的 采用近红外光谱技术快速、无损检测山药药材中水浸出物、醇浸出物含量。方法 采用近红外漫反射光谱建立定量校正模型。结果 所建立的定量校正模型对水浸出物、醇浸出物的预测均方差RMSEP分别为1.26和0.084 9。结论 近红外光谱技术不需要对样品进行复杂繁琐的前处理，分析速度快，结果准确，具有其他传统化学分析方法所不具有的显著优点，适合对组成复杂的中药进行快速分析，可用于中药生产过程的质量监控。     

近红外漫反射光谱法快速测定盾叶薯蓣药材醇浸出物的含量

目的应用近红外光谱(NIR)技术和化学计量学分析软件,对盾叶薯蓣药材中醇浸出物的含量进行快速测定。方法应用偏最小二乘法(PLS)对盾叶薯蓣醇浸出物的结果与NIR建立定量校正模型。结果建立的模型内部交叉验证决定系数(R2)为0.991 09,内部交叉验证均方差(RMSECV)为0.010 13,预测均方差(RMSEP)为0.004 59。结论近红外漫反射光谱技术的运用具有快速方便、结果准确的特点,该方法可应用于盾叶薯蓣药材醇浸物的快速检测,对于其他的中药材指标成分测定也有一定的参考价值。     

近红外光谱法快速测定枇杷叶浸出物的含量

目的 建立枇杷叶药材中浸出物含量的近红外定量模型,快速测定枇杷叶中浸出物含量.方法 用热浸法测定146批枇杷叶中浸出物含量,同时采集其近红外光谱数据,采用多元校正散射法加二阶导数法预处理,结合偏最小二乘法建立枇杷叶中浸出物含量的定量模型,采用28批验证集样品对模型进行验证.结果 所建立的校正模型,内部交叉验证决定系数达到0.984 28,校正均方差为0.387,预测均方差为0.659,内部交叉验证均方差为1.836 52.结论 该近红外定量模型稳定,准确可靠,可快速对枇杷叶中浸出物含量进行测定.     

近红外光谱法快速测定丹参醇沉过程中的鞣质

目的:建立一种运用近红外光谱技术快速测定丹参注射液醇沉工艺过程中鞣质浓度的方法。方法:以磷钼钨酸-干酪素法为对照分析方法,比较了不同的光谱预处理方法对校正结果的影响,运用偏最小二乘回归法建立了丹参醇沉液近红外光谱图与鞣质浓度对照值之间的校正模型,并对模型的预测能力进行验证。结果:光谱经过一阶导数和Savitzky-Golay卷积平滑法处理,选取5430～5839cm-1波段建模得到的定量校正模型效果最好,校正模型的相关系数r达到0.964,预测集预测误差均方根(RMSEP)为1.43g.L-1。结论:本方法操作简便、快速无损,可发展成为中药醇沉过程的一种过程分析方法。     

近红外光谱技术快速测定三七水分和醇溶性浸出物

目的 利用近红外光谱技术（near infrared spectroscopy,NIRS）建立三七药材水分和醇溶性浸出物定量分析的快速测定方法。方法 参照《中国药典》2015年版三七水分和醇溶性浸出物含量测定方法对53批药材分别测定水分和醇溶性浸出物含量,采用偏最小二乘法（PLS）分别建立水分和醇溶性浸出物的近红外定量分析模型,并利用内部交叉验证和外部验证的方法对模型进行优化。结果 药材样品中水分和醇溶性浸出物预测最佳波段分别为4 450.32～7 350.01 cm^-1和6 163.92～3 984.71 cm^-1。定量模型校正集相关系数分别为0.997 2和0.962 4,校正均方差分别为0.039 6和0.776 0;验证集的相关系数为0.962 4和0.988 4,验证均方差分别为0.173和0.595。结论 该方法准确、快速、无污染,可用于三七药材中水分和醇溶性浸出物含量的快速测定。     

近红外光谱法快速测定罗布麻叶中总黄酮含量

目的建立罗布麻叶中总黄酮含量近红外光谱定量分析模型,快速测定罗布麻叶中总黄酮含量。方法采集并用多种预处理近红外光谱,结合偏最小二乘法(PLS),建立罗布麻叶中总黄酮含量的定量分析模型并对所建立的模型进行优化。结果优化后定量模型的校正集预测值与测定值之间的相关系数RC为0.979 6,校正集标准差(SEC)为0.21,验证集标准差(SEP)为0.13、交互检验验证集标准差(SECV)为0.27。结论该定量模型具有较高的预测效果,建立的方法可快速定量分析罗布麻叶中总黄酮含量。     

近红外光谱法快速测定广藿香中水分含量

目的建立广藿香中水分含量的近红外定量模型,快速测定广藿香中水分含量。方法用减压干燥法测定142批广藿香水分含量,采集并用多元散射校正法、一阶导数法预处理近红外光谱,结合偏最小二乘法建立广藿香中水分含量的定量模型。结果所建立的校正模型,内部交叉验证决定系数达到0.968 67,校正均方差为0.241,预测均方差为0.308,内部交叉验证均方差为0.430。结论该近红外定量模型稳定,准确可靠,可快速对广藿香中水分含量进行测定。     

近红外光谱技术对女贞子进行快速检测方法的研究

目的:通过近红外光谱技术建立女贞子的快速检测鉴别真伪及产地的方法。方法:利用近红外漫反射光谱技术,按中国药典2015年版一部相关标准,以女贞子中水分及特女贞苷含量为参考值,建立女贞子中水分及特女贞苷定量模型,对女贞子进行快速含量测定;建立女贞子一致性检验模型,进行快速真伪鉴定及产地鉴别。结果:建立女贞子中特女贞苷含量与女贞子水分校正模型校正集的相关系数分别为95.15%,97.3%,校正集的内部交叉验证均方差(RMSECV)分别为0.364,0.161;预测值与实测值相差较小,能较准确地测定女贞子中特女贞苷的含量与女贞子水分。建立对女贞子定性鉴别的一致性检验模型能较准确判别女贞子的产地。结论:利用近红外光谱对女贞子中特女贞苷与女贞子水分进行定量,不同产地进行定性的方法快速、简便、预测结果准确,可成为女贞子的快速检验方法。     

近红外漫反射光谱法快速测定注射用五水头孢唑林钠的含量

目的利用近红外漫反射光谱分析技术对注射用五水头孢唑林钠的含量进行无损、快速的定量分析。方法以注射用五水头孢唑林钠为分析对象,用光纤测定近红外漫反射光谱,采用矢量归一化作为光谱预处理方法建立定量校正模型。结果 55份样品选取5446.3~12493.4cm-1谱段,建立注射用五水头孢唑林钠含量的定量校正模型并分析,结果R2为96.92,内部交叉验证均方差(RMSECV)为0.491。30份样品用于外部验证,预测误差均方差(RMSEP)为0.927。结论该方法分析快速、简便,结果准确可靠,可实现样品的快速测定,对β-内酰胺类抗生素制剂的质量分析有一定的参考价值。     

近红外光谱法应用于蒲黄总灰分的定量预测研究

目的:利用近红外光谱分析技术,建立中药蒲黄总灰分的快速、无损测定方法。方法:采用偏最小二乘回归方法(PLSR)对不同的光谱预处理方法、建模波段和因子数选择等进行比较,建立定量预测模型,并考察模型预测准确度。结果:以一阶导数结合多元散射校正法建立模型,校正模型的相关系数为0.9994,内部交叉验证均方根差(RMSECV)为0.293;交叉检验决定系数(RPD)为29.4,偏移小于0.013。结论:结果表明,总灰分为6.0%～27.3%的10批蒲黄样品的预测值与实测值的相对偏差均小于7.5%。该方法与常规总灰分测定方法比较快速、无损,预测结果准确、可靠,有望推广应用于中药蒲黄的快速检验。     

近红外漫反射光谱法快速检测维C银翘片中的对乙酰氨基酚

目的:应用近红外漫反射光谱法对维C银翘片中的对乙酰氨基酚进行快速定量分析。方法:采集样品的近红外漫反射光谱数据,采用偏最小二乘法（PLS）建立光谱数据和样品中对乙酰氨基酚含量的相关模型,应用所建模型对未知样品进行预测。结果:应用对乙酰氨基酚定量分析模型,以731个维C银翘片样品为校正集,浓度范围为186～476mg·g^-1,366个样品用于外部验证,浓度范围为191～409mg·g^-1,校正集交叉检验均方差（RMSECV）为12.3,相关系数R²=92.52;预测集外部检验均方差（RMSEP）为14.2,相关系数R²=86.86。结论:方法快速、准确,可用于维C银翘片中维C银翘片中对乙酰氨基酚的快速检测。     

Use of near-infrared for quantitative measurement of viscosity and concentration of active ingredient in pharmaceutical gel

Near infrared (NIR) spectroscopy is gaining worldwide interest as an analytical tool for quality control of raw materials, intermediate products, and final dosage forms. This technique can be used without sample preparation, therefore, avoiding the need for reagents and solvents. Quantitative NIR analyses involve calibration by sophisticated mathematical techniques that have been used extensively since the advent of microcomputing and chemometrics. The main objective of this investigation was to use transmission near-Infrared spectroscopy to measure the potency of an active ingredient in a topical gel preparation. A second objective was to evaluate the effect of gel viscosity on the NIR reflectance spectra. Four gel formulations with different ibuprofen concentrations were used for quantitative determination of the active ingredient, and five gel formulations with different viscosity values were used for the evaluation of the effect of viscosity change on the near-infrared reflectance spectra. The laboratory ibuprofen quantitative determination was compared to near-infrared transmission data using linear, quadratic, cubic and partial least square techniques to determine the relationship between ultraviolet (UV) determination and near-infrared spectra. For viscosity, the laboratory data were compared to near-infrared diffuse reflectance data using the same techniques used to determine the relationship between Brookfield viscometer determination and near-infrared spectra. The results demonstrated that an increase in ibuprofen concentration and viscosity produced an increase in near-infrared absorbance. Series of model equations were developed from the calibration of laboratory vs. the near-infrared data for each formulation. The near-infrared spectroscopy method is an alternative method that does not require sample pretreatment for quantitative measurement of active ingredient and viscosity of pharmaceutical gel.     

Use of Near-Infrared for Quantitative Measurement of Viscosity and Concentration of Active Ingredient in Pharmaceutical Gel

Near infrared (NIR) spectroscopy is gaining worldwide interest as an analytical tool for quality control of raw materials, intermediate products, and final dosage forms. This technique can be used without sample preparation, therefore, avoiding the need for reagents and solvents. Quantitative NIR analyses involve calibration by sophisticated mathematical techniques that have been used extensively since the advent of microcomputing and chemometrics. The main objective of this investigation was to use transmission near-Infrared spectroscopy to measure the potency of an active ingredient in a topical gel preparation. A second objective was to evaluate the effect of gel viscosity on the NIR reflectance spectra. Four gel formulations with different ibuprofen concentrations were used for quantitative determination of the active ingredient, and five gel formulations with different viscosity values were used for the evaluation of the effect of viscosity change on the near-infrared reflectance spectra. The laboratory ibuprofen quantitative determination was compared to near-infrared transmission data using linear, quadratic, cubic and partial least square techniques to determine the relationship between ultraviolet (UV) determination and near-infrared spectra. For viscosity, the laboratory data were compared to near-infrared diffuse reflectance data using the same techniques used to determine the relationship between Brookfield viscometer determination and near-infrared spectra. The results demonstrated that an increase in ibuprofen concentration and viscosity produced an increase in near–infrared absorbance. Series of model equations were developed from the calibration of laboratory vs. the near-infrared data for each formulation. The near-infrared spectroscopy method is an alternative method that does not require sample pretreatment for quantitative measurement of active ingredient and viscosity of pharmaceutical gel.     

近红外光谱技术快速测定杞菊地黄丸的水分含量

目的应用近红外光谱技术建立一种杞菊地黄丸(浓缩丸)中水分含量的快速测定方法。方法以甲苯法测定的样品中水分的含量为真实值,运用近红外漫反射光谱技术采集96份杞菊地黄丸(浓缩丸)样品的近红外漫反射光谱,结合偏最小二乘法(PLS)建立水分含量的定量分析模型。结果所建水分校正模型的相关系数(R2)和内部交叉验证均方差(RMSECV)分别为0.988 09和0.0587;经外部验证,模型的预测相关系数(r2)和预测均方差(RMSEP)分别为0.9969和0.075 2。结论该方法操作简便,无污染,结果准确可靠,可用于杞菊地黄丸(浓缩丸)中水分含量的快速测定。     

Prediction of tablets disintegration times using near-infrared diffuse reflectance spectroscopy as a nondestructive method

The goals of this study are to user near-infrared reflectance (NIR) spectroscopy to measure the disintegration time of a series of tablets compacted at different compressional forces, calibrate NIR data vs. laboratory equipment data, develop a model equation, validate the model, and test the model's predictive ability. Seven theophylline tablet formulations of the same composition but with different disintegration time values (0.224, 1.141, 2.797, 5.492, 9.397, 16.8, and 30.092 min) were prepared along with five placebo tablet formulations with different disintegration times. Laboratory disintegration time was compared to near-infrared diffuse reflectance data. Linear regression, quadratic, cubic, and partial least square techniques were used to determine the relationship between disintegration time and near-infrared spectra. The results demonstrated that an increase in disintegration time produced an increase in near-infrared absorbance. Series of model equations, which depended on the mathematical technique used for regression, were developed from the calibration of disintegration time using laboratory equipment vs. the near-infrared diffuse reflectance for each formulation. The results of NIR disintegration time were similar to laboratory tests. The near-infrared diffuse reflectance spectroscopy method is an alternative nondestructive method for measurement of disintegration time of tablets.     

近红外光谱法对不同厂家磷霉素钙片快速鉴别及区分

目的运用近红外（near-infrared,NIR）漫反射光谱法快速鉴别及区分不同厂家的磷霉素钙片,鉴别假劣药品,保障人民用药安全有效。方法通过收集A厂家生产的18个批次的样本以及其他厂家生产的多批样本,扫描其近红外光谱,运用布鲁克公司的OPUS软件,建立A厂家生产的磷霉素钙片的一致性检验模型,并对模型进行优化以及用其他厂家的样本来验证所建最优模型。结果建立的模型可以显著快速鉴别和区分不同厂家的磷霉素钙片。结论所建立的方法快速、简便、有效,可应用于药品的快速检验。     

微球的近红外漫反射光谱聚类分析鉴别

目的:采用近红外漫反射光谱技术,对3种样品进行快速鉴别,为微球的鉴别提供新的手段.方法:采用聚类分析方法进行定性鉴别.结果:聚类分析结果显示3种样品可完全区分.结论:该方法简便、快速、低消耗,可用于微球的鉴别与质量控制.     

Rapid determination of vitamin C by NIR,MIR and FT-Raman techniques

Rapid spectroscopic determination of vitamin C in food and pharmaceutical products using infrared and Raman techniques was proposed. In this study, near-infrared (NIR), Fourier transform near-infrared (FT-NIR), Fourier transform infrared-attenuated total reflectance (FTIR-ATR), diffuse reflectance (DRIFTS), Fourier transform infrared-photoacoustic (FTIR-PAS) and FT-Raman spectroscopy were used in conjunction with partial least squares (PLS) regression to quantify vitamin C in powdered mixtures and solutions. Results indicate that the methods adopted have high prediction correlation. R2 values were 0.999 for FTIR-ATR, 0.976 for DRIFTS, 0.966 for FTIR-PAS, 0.988 for NIR, 0.992 for FT-NIR and 0.95 for FT-Raman, with an overall prediction error of 0.2-3.0%. The time required to complete an experiment ranged from 5 s (NIR) to 3 min (FT-Raman). The FTIR and FT-Raman techniques can be complementary tools for qualitative and quantitative characterization of the samples. Infrared and Raman techniques can be used to quantify vitamin C in foods and pharmaceutical products.     

近红外光谱法快速鉴别硫酸亚铁片

目的：利用近红外光谱技术建立一种快速鉴别不同厂家生产的硫酸亚铁片的方法。方法：用固体光纤探头采集了4个生产厂家的98批硫酸亚铁片的近红外漫反射光谱,采用化学计量学方法对光谱进行预处理,建立硫酸亚铁片的一致性检验模型,并进行模型验证。结果：将经一阶导数＋矢量归一化法预处理所建立的模型用于识别各厂家生产的硫酸亚铁片,其准确性和专属性均良好。结论：所建模型可用于硫酸亚铁片的快速鉴别,为硫酸亚铁片的鉴别提供了一条准确、简单、有效的途径。     

近红外光谱法快速测定山橿药材中球松素含量

目的利用近红外光谱（NIR）技术建立一种山橿中球松素含量的快速分析方法。方法以HPLC分析值为参照,采用近红外漫反射光谱技术采集66份山橿样品的近红外漫反射光谱,结合偏最小二乘法（PLS）建立了球松素含量的定量分析模型。结果所建模型的相关系数（R2）、外部验证均方差（RMSEP）和内部交叉验证均方差（RMSECV）分别为0.992 31、0.076 5和0.450 0;验证集样品的NIR测得值与药典法测得值进行配对T检验,差异无统计学意义。结论本方法操作简便、无污染、结果准确可靠,可用于山橿中球松素含量的快速测定。