基于近红外光谱技术的烟丝掺配均匀度测定
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赵科文,男,贵州中烟工业有限责任公司工程师

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贵州中烟工业有限责任公司科技项目(编号:GZZY/KJ/BJ/2016 D Y 003-1)


Determination of blending uniformity of cut tobacco based on near infrared spectroscopy
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    摘要:

    根据标准选取糖碱比与钾的乘积作为掺配均匀性评价标志指标,以500个烟丝、500个梗丝、250个再造烟叶丝和30个生产线配方烟丝样品为研究对象,通过采集样品的近红外光谱信息和测定标志指标,利用模式识别和校正模型的建立,系统构建烟丝、梗丝和再造烟丝掺配均匀性评价方法。结果表明:① PLS-DA模式识别分析4种烟丝样品的近红外光谱整体信息存在较大差异性;② 烟丝、梗丝和再造烟叶丝掺配均匀性指标的均值分别为20.64%,273.81%,30.40%,梗丝样品掺配均匀性指标值和波动范围均大于烟丝和再造烟丝样品;③ 掺配均匀性指标值以50为分类阈值时,3种烟丝样品近红外光谱的PCA-MD呈明显的分类现象,并以50为分类阈值建立了3种烟丝的分段校正模型;④ 将未参与建模的4种烟丝和配方烟丝样品通过PCA-MD模式识别,判定适宜的分段模型验证后,利用分段模型预测其标志指标,含量与实际测定结果无显著性差异。该研究建立了烟丝掺配均匀性的快速评价方法,分析结果稳定性和准确性均较好。

    Abstract:

    In order to establish rapid evaluation method of tobacco, cut stem and reconstituted tobacco, multiply ratios of sugars to alkali by potassium was selected as blending homogeneity evaluation index sign. Based on tobacco (500), cut stem (500), reconstituted tobacco (250) and the formula of tobacco production line (30) of the near-infrared spectral information and blending evenness index data, the pattern recognition model and the marker correction model of evenness index data of tobacco, cut stem and reconstituted tobacco were built. The results showed as follows. ① The overall information of near-infrared spectra of the three tobacco samples were differences. ② The average blending-uniformity indexes of tobacco, cut stem and reconstituted tobacco were 20.64%, 273.81% and 30.40% respectively. The blending-uniformity indexes of stem samples were greater than that of tobacco samples and stem samples in both value and fluctuation range. ③ When take the blending-uniformity index equal to 50 as the classification threshold, the PCA-MD of the three tobacco samples presented a good classification effect. ④ the results of internal parameters and external validation based on the model showed that, when the blending uniformity index equal to 50 was used as the classification threshold, the near-infrared correction model of the three kinds of tobacco blending-uniformity index before and after the study of blending presents better stability and accuracy.

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赵科文,陈实,蒋浩,等.基于近红外光谱技术的烟丝掺配均匀度测定[J].食品与机械,2020,(11):183-188.
ZHAO Ke-wen, CHEN Shi, JIANG Hao, et al. Determination of blending uniformity of cut tobacco based on near infrared spectroscopy[J]. Food & Machinery,2020,(11):183-188.

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  • 在线发布日期: 2023-02-18
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