| 烟用爆珠内液质量稳定性检测——基于紫外光谱技术结合SVR算法 |
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| 引用本文： | 朱玲,唐杰,许嘉东,胡兴锋,彭忠,谭广璐,朱立军.烟用爆珠内液质量稳定性检测——基于紫外光谱技术结合SVR算法[J].中国烟草学报,2019,25(3):29-36. |
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| 作者姓名： | 朱玲 唐杰 许嘉东 胡兴锋 彭忠 谭广璐 朱立军 |
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| 作者单位： | 重庆中烟工业有限责任公司技术中心, 重庆市南岸区南坪东路2号 400060 |
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| 基金项目： | 重庆中烟工业有限责任公司科研项目“烟用爆珠内液质量稳定性检测方法研究”HX2017006 |
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| 摘 要： | 目的 基于紫外（UV）光谱技术和支持向量机回归（SVR）算法，建立一种烟用爆珠内液判别和稳定性分析方法。 方法 采用无水乙醇稀释爆珠内液，UV扫描，光谱经预处理后，建立四种不同牌号烟用爆珠SVR模型，并对模型进行了验证。 结果 （1）最佳UV图谱预处理方法是平滑后归一化；最佳SVR类型是ν-SVR；最佳核函数是径向基核函数。（2）四个牌号烟用爆珠内液ν-SVR模型校正集分类变量的预测值与实测值的相关系数均≥0.9993，SVR模型对于参与建模的400个烟用爆珠内液样本（校正集）和未参与建模的80个烟用爆珠内液样本（验证集）的预测准确度均为100%，模型拟合性好，预测精度高，判别能力强。（3）基于SVR模型分类变量值建立的单值控制图可以对烟用爆珠内液的稳定性进行快速判定，判定结果与GC/MS检测结果一致。 结论 紫外可见光谱技术结合SVR算法可对不同牌号烟用爆珠内液质量进行有效判别，且方法快速准确、经济环保、易于推广。
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| 关 键 词： | 烟用爆珠 紫外光谱 顶空-GC/MS SVR算法 核函数 控制图 |
| 收稿时间： | 2018-11-29 |
Quality stability inspection of liquid contained in flavored capsules for cigarettes based on ultraviolet spectroscopy and SVR algorithm |
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| Affiliation: | Technology Center of China Tobacco Chongqing Industrial CO., LTD, Chongqing 400060, China |
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| Abstract: | Based on ultraviolet (UV) spectroscopy and SVR (support vector machine regression) algorithm, a method for the determination and stability analysis of breakable capsules in cigarette was established.The internal liquid of breakable capsules was diluted with anhydrous ethanol, followed by UV scanning and spectral pretreatment, four SVR models of different capsule brands were established and validated.Results show that: (1) The optimal UV spectrum pretreatment method was smoothing and normalization, the optimal type of SVR was ν-SVR, and the optimal kernel function was radial basis function.(2) The correlation coefficient between predicted and measured values of the classification variables in the ν- SVR model calibration set were all more than 0.9993 for four capsule brands.The prediction accuracy of SVR model was 100% for both 400 samples of breakable capsule inner liquid (calibration set) and 80 samples of breakable capsule inner liquid (validation set) that were not involved in the modeling, indicating high accuracy and efficiency.(3) The stability of breakable capsules could be effectively evaluated by quality control chart based on classification variable values of SVR model, and the evaluation results were consistent with those of GC/MS method.It can be concluded that UV spectra combined with SVR algorithm could be used for quality evaluation of liquid in cigarette breakable capsules, and the method was rapid, accurate, economical, and environmentfriendly. |
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