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白酒基酒中酮类物质的近红外光谱检测方法
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作者单位
董新罗,刘建学,韩四海,谢安国,李璇,李佩艳,徐宝成,罗登林 1.河南科技大学食品与生物工程学院2.河南省食品原料工程技术研究中心 
基金项目:国家自然科学基金资助项目(31471658)
中文摘要:应用近红外光谱技术建立了白酒基酒中2,3-丁二酮和3-羟基-2-丁酮的快速检测模型。从洛阳杜康酒厂选取182个白酒基酒样品为材料,运用气相色谱法测得两种物质的化学值,同时采集其在12 000~4 000 cm-1范围内的光谱数据,采用偏最小二乘法(PLS)结合内部交叉验证建立校正模型。通过对比不同光谱预处理下PLS模型效果对其进行优化,确定2,3-丁二酮和3-羟基-2 丁酮的最佳预处理方法分别为一阶导数+多元散射校正和二阶导数,最佳光谱区间分别为9 403.2~7 497.9 cm-1和9 403.2~7 497.9 cm-1+6 101.7~5 449.8 cm-1。优化后2,3-丁二酮和3 羟基-2-丁酮校正集样品的化学值和近红外预测值的决定系数(R2)分别为0.960 2和0.963 2,交叉验证均方根误差(RMSECV)分别为0.39、0.22 mg/100 mL;通过外部检验,验证集样品的R2分别为0.957 6和0.957 8,预测均方根误差(RMSEP)分别为0.40、0.24 mg/100 mL。结果表明,应用近红外光谱技术结合化学计量学方法所建立的模型有较高的准确度,能够满足白酒生产中酮类物质的快速检测需要。
中文关键词:白酒基酒  近红外光谱  2,3-丁二酮  3-羟基-2-丁酮
 
Rapid Detection of Ketones in Base Liquor by Near Infrared Spectroscopy
Abstract:A rapid detection model for 2,3-butanedione and 3-hydroxy-2-butanone in base liquor was established using near infrared spectroscopy(NIR).182 base liquor samples from Dukang winery in Luoyang were selected as materials.The chemical values of the two ketones were detected by gas chromatography(GC).Meanwhile,the spectral data in the range of 12 000-4 000 cm-1 were collected.The calibration models for 2,3-butanedione and 3-hydroxy-2-butanone were established by partial least square(PLS) combined with internal cross validation.By comparing effects of the PLS models under different spectral pretreatments for optimization,the optimal preprocessing methods for 2,3-butanedione and 3-hydroxy-2-butanone were determined as first derivative with multiple scattering correction and second derivative,respectively,while the optimal spectral ranges are 9 403.2-7 497.9 cm-1 and 9 403.2-7 497.9 cm-1 + 6 101.7-5 449.8 cm-1.The determination coefficients(R2) for the chemical values and the NIR predicted values of the 2,3-butanedione and 3-hydroxy-2-butanone calibration set samples after optimization were 0.960 2 and 0.963 2,while the corresponding root mean square errors of cross validation(RMSECV) were 0.39 mg/100 mL and 0.22 mg/100 mL,respectively.Through external validation,the R2 for the validation set samples were 0.957 6 and 0.957 8,while the predicted root mean square errors(RMSEP) were 0.40 mg/100 mL and 0.24 mg/100 mL,respectively.Results showed that the model established by near infrared spectroscopy combined with chemometrics could meet the requirements for rapid detection of ketones in liquor production with high accuracy.
Key Words:base liquor  near infrared spectroscopy  2,3-butanedione  3-hydroxy-2-butanone
引用本文:董新罗,刘建学,韩四海,谢安国,李璇,李佩艳,徐宝成,罗登林.白酒基酒中酮类物质的近红外光谱检测方法[J].分析测试学报,2020,39(11):1427-1432.
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