WO2012128281A1 - Procédé de mesure de la densité apparente - Google Patents

Procédé de mesure de la densité apparente Download PDF

Info

Publication number
WO2012128281A1
WO2012128281A1 PCT/JP2012/057170 JP2012057170W WO2012128281A1 WO 2012128281 A1 WO2012128281 A1 WO 2012128281A1 JP 2012057170 W JP2012057170 W JP 2012057170W WO 2012128281 A1 WO2012128281 A1 WO 2012128281A1
Authority
WO
WIPO (PCT)
Prior art keywords
apparent density
calibration curve
sample
measurement
measured
Prior art date
Application number
PCT/JP2012/057170
Other languages
English (en)
Japanese (ja)
Inventor
則男 勝山
弘 湯浅
Original Assignee
日本たばこ産業株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日本たばこ産業株式会社 filed Critical 日本たばこ産業株式会社
Publication of WO2012128281A1 publication Critical patent/WO2012128281A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor

Definitions

  • the present invention relates to a method for measuring the apparent density of cigarettes, and more particularly to a method for measuring the apparent density of cigarettes using near infrared spectroscopy.
  • leaf tobacco When designing cigarettes (cigarettes), it is necessary to consider the various chemical and physical properties of leaf tobacco.
  • One of the physical characteristics of leaf tobacco is the apparent density of tobacco. Apparent density is used to estimate the airflow resistance and winding hardness of cigarettes. Therefore, the apparent density of tobacco is an indispensable element in product design.
  • near-infrared spectroscopy which irradiates a sample with near-infrared light and measures its transmission absorption spectrum, diffuse reflection spectrum, etc., is non-destructive and can be measured quickly, so it is widely used in various fields. ing.
  • JP 2001-17084 A Japanese Patent Publication “JP 2000-74828 A (published March 14, 2000)”
  • chopped leaf tobacco is conditioned by a measuring instrument after being conditioned for 2 days until it reaches equilibrium in a conditioned room strictly controlled at a constant temperature and humidity. Furthermore, in order to obtain an accurate measurement value, it is common to repeat measurement at least three times and to express the average. That is, the measurement of the apparent density so far takes a great deal of labor and time.
  • the conventional method for measuring the apparent density uses mercury, which is a poison. Therefore, there is a problem that measures for preventing exposure are required to measure the apparent density.
  • an object of the present invention is to provide a method capable of measuring the apparent density of tobacco without performing complicated operations.
  • the present inventors have found that the apparent density of tobacco can be measured using near-infrared spectroscopy, and have completed the present invention.
  • an apparent density measuring method includes a step of irradiating a powdered or engraved sample of a tobacco raw material with near infrared rays and measuring a transmission absorption spectrum or a diffuse reflection spectrum, and a measurement. And calculating an apparent density estimated value from a calibration curve prepared in advance using the transmitted absorption spectrum or diffuse reflection spectrum.
  • the apparent density of the tobacco can be measured quickly without performing complicated work and without using mercury as a poisonous substance.
  • the definition of the apparent density by the conventional measurement method is as follows.
  • the apparent density is a physical characteristic amount expressed in units of “g / cm 3 ”. Specifically, the apparent density is determined after harmonizing for 2 days until it reaches equilibrium in a conditioned room that is strictly controlled at a constant temperature (22 ⁇ 2.0 ° C) and a constant humidity (60 ⁇ 5.0% RH).
  • the definition of the apparent density by the conventional measurement method is as follows.
  • the method for measuring the apparent density includes a step of irradiating a sample of a tobacco raw material in powder form or engraved form with near infrared rays to measure a transmission absorption spectrum or diffuse reflection spectrum, and a measured transmission absorption spectrum or diffusion.
  • a method for measuring an apparent density of a tobacco raw material comprising a step of calculating an apparent density estimated value from a calibration curve prepared in advance using a reflection spectrum.
  • near infrared spectrum the transmission absorption spectrum and diffuse reflection spectrum by near infrared irradiation are referred to as “near infrared spectrum”.
  • the form of the tobacco raw material that can be used as a sample to which the measurement method of the present invention is applied is a cut form or a powder form, and preferably a powder form.
  • the measuring method of this invention can be used also about samples, such as a lamina form (deboned leaf part) and a sheet piece form.
  • the tobacco material sample may be in the same form as the tobacco material sample used when the calibration curve was created. From the viewpoint of improving the uniformity of the sample, it is preferable that the sample is in the form of a powder (powder) obtained by pulverizing tobacco with a pulverizer. The measurement accuracy can be further improved by increasing the uniformity of the sample.
  • measurement is usually performed using powder. Therefore, when the measurement sample is powder, the sample for content component analysis can be used as it is for the apparent density measurement. Alternatively, the sample used for the apparent density measurement can be used as it is in other content component analysis.
  • the near-infrared ray irradiated to the tobacco raw material sample when measuring the apparent density unknown sample is in the wavelength region of 800 nm to 2500 nm, and includes at least a specific wavelength used when calculating the apparent density from the calibration curve. Just do it.
  • a near-infrared spectrometer (NIR) generally used for near-infrared spectroscopy can be used.
  • wavelengths used for the actual apparent density measurement from the measured near-infrared spectrum differs depending on the tobacco raw material and raw material type or calibration curve. Which wavelength is used for the apparent density measurement can be determined by a calibration curve creation method described later. For example, when the apparent density is measured using the estimation formula A5 in Example 1 described later, at least wavelengths near 1160.0 nm, 1420.5 nm, 1495.0 nm, 1963.5 nm, and 2428.5 nm. It suffices if near infrared rays are irradiated. When the calibration curve is obtained by PLS (Partial Least Squares) regression analysis, all wavelengths used for PLS regression analysis are used for apparent density measurement by near infrared spectroscopy.
  • PLS Partial Least Squares
  • Measurement methods for other items using near infrared spectroscopy for example, nicotine measurement using near infrared spectroscopy, leaf chemical measurement using near infrared spectroscopy, etc. are known. If the wavelength used for the measurement is included, the other items can be measured simultaneously with the apparent density.
  • the calibration curve used to calculate the apparent density in the measurement method according to the present invention is created by multivariate analysis using near-infrared spectra of samples of a plurality of tobacco raw materials whose apparent density is known. Preferably there is. Therefore, when the calibration curve does not exist, in the measurement method according to the present invention, after measuring the near-infrared spectrum of a plurality of samples of tobacco raw materials whose apparent density is known, the calibration curve is obtained by multivariate analysis. It is preferable to further include a step of creating.
  • MLR multivariate analysis
  • PLS Partial Least (Squares) regression analysis
  • principal component regression analysis principal component regression analysis
  • Fourier transform analysis can be used, among which multiple regression analysis and PLS regression Analysis is preferred.
  • the number of samples of a plurality of tobacco raw materials with known apparent densities that are used to create a calibration curve is preferably 30 samples or more, and more preferably 70 samples or more. Since the accuracy of the calibration curve increases as the number of samples increases, the upper limit is not limited, and may be, for example, 2000 samples or less, but may be more.
  • a tobacco raw material whose apparent density is known refers to a tobacco raw material whose apparent density is measured by a conventional measuring method.
  • the conventional measurement method is to chop the leaf tobacco and harmonize it for 2 days until it becomes balanced in a conditioned room strictly adjusted to 22 ⁇ 2.0 ° C and 60 ⁇ 5.0% RH. In the same room, the apparent density is measured. In order to obtain an accurate measurement value, it is common to repeat measurement at least three times and obtain the average. In addition, about 30 minutes per sample are required for the measurement by the apparent density measuring device.
  • the measurement principle is as follows: 1) First, the pycnometer is fully filled with mercury and the weight (H) is measured.
  • the wavelength region of the near-infrared spectrum for creating the calibration curve may be appropriately selected, and is, for example, 800 nm to 2500 nm. However, it is not limited to this wavelength region, and may be a narrower wavelength region.
  • the near-infrared spectrum can be measured by scanning every arbitrary wavelength interval within the above wavelength range, for example, every 0.5 nm.
  • a near-infrared light that has been spectrally separated into monochromatic light with respect to a sample of a tobacco raw material having a known apparent density is distributed within a certain wavelength region (for example, 800 nm to 2500 nm) at regular intervals (for example, 0.5 nm intervals). ). Since near infrared transmission and / or diffuse reflection occurs in the sample, the intensity of monochromatic light not absorbed by the sample is measured by a detector. The spectrum of the absorption intensity at each wavelength in the sample is displayed from the difference from the reference intensity measured in advance, and the displayed spectrum information is acquired as data.
  • a certain wavelength region for example, 800 nm to 2500 nm
  • regular intervals for example, 0.5 nm intervals
  • the above-described processing is performed on a plurality of samples, preferably 30 samples or more, thereby acquiring a plurality of pieces of spectral information data.
  • About each data after measuring a transmission absorption spectrum or a diffuse reflection spectrum, these are converted into a secondary differential spectrum.
  • Principal component analysis is performed using the obtained secondary differential spectrum and the apparent density measured using the conventional measurement method, and the principal component (main wavelength) contributing to the objective variable (apparent density) is selected.
  • a calibration curve is created by performing multivariate analysis such as multiple regression analysis and PLS regression analysis.
  • this calibration curve can be used from the next measurement, and the step of creating a calibration curve is not necessary.
  • a transmission absorption spectrum is measured using a plurality of types of tobacco raw materials such as yellow, Burley, Orient, and native species, and a single calibration curve is created using them, different types are used.
  • the apparent density of a sample of tobacco material can be measured using a common calibration curve.
  • the processing is not complicated compared to the conventional measuring method, and the measurement can be completed in a short time (about 1/20). No need to use mercury, a poisonous substance. Moreover, the measurement result obtained has a high correlation with the result obtained by the conventional measurement method.
  • Example 1 Apparent density measurement of yellow species
  • the transmission absorption spectrum was measured at 0.5 nm intervals in the near infrared wavelength region of 800 to 2500 nm.
  • a calibration curve preparation sample is packed in a quartz vial (29 mm diameter), and after being compressed with a dedicated tool, a near-infrared spectrometer (model: XM-1100, manufactured by FOSS NIRSystems) is used.
  • the near-infrared ray was irradiated from the bottom of the vial, the near-infrared ray reflected for each wavelength was detected, and the transmission absorption spectrum was measured from the difference from the reference intensity.
  • the coefficient of determination (R 2 ) was 0.6274 to 0.8162, and the standard error was 0.0313 to 0.0441.
  • FIG. 1 shows the relationship between the apparent density obtained by the conventional measuring method and the apparent density estimated value obtained by the near-infrared spectroscopy using the estimation formula (A5) for each calibration curve preparation sample. ("CAL" in FIG. 1).
  • Example 2 Measurement of apparent density of Burley species
  • a calibration curve was created by multiple regression analysis in the same manner as in Example 1 except that the calibration curve creation sample was 92 samples of domestic and foreign tobacco burley species.
  • the following estimation formulas (B1) to (B5) could be obtained.
  • Y obtained by the following estimation formula is an estimated value of the apparent density.
  • K (1) to K (5) indicate the absorbances at wavelengths of 1455.0 nm, 1221.5 nm, 218.5 nm, 2315.0 nm, and 1266.0 nm, which were differentiated after the spectrum measurement, respectively.
  • the coefficient of determination (R 2 ) was 0.6217 to 0.8555, and the standard error was 0.0202 to 0.0319.
  • FIG. 2 shows the relationship between the apparent density obtained by the conventional measuring method and the apparent density estimated value obtained by the near-infrared spectroscopy using the estimation formula (B5) for each calibration curve preparation sample. ("CAL" in FIG. 2).
  • Example 3 Apparent density measurement of Orient species
  • a calibration curve was prepared by multiple regression analysis in the same manner as in Example 1 except that 71 samples of domestic and foreign tobacco orientation species were used as the calibration curve preparation sample.
  • the following estimation formulas (C1) to (C5) could be obtained.
  • Y obtained by the following estimation formula is an estimated value of the apparent density.
  • K (1) to K (5) indicate the absorbances at wavelengths of 2037.5 nm, 1492.5 nm, 1952.5 nm, 1721.0 nm, and 2159.0 nm, which were differentiated after the spectrum measurement, respectively.
  • the coefficient of determination (R 2 ) was 0.5769 to 0.6956, and the standard error was 0.0236 to 0.0270.
  • FIG. 3 shows the relationship between the apparent density obtained by the conventional measurement method and the apparent density estimated value obtained by the near-infrared spectroscopy using the estimation formula (C5) for each calibration curve preparation sample. ("CAL" in FIG. 3).
  • Example 4 Apparent density measurement of yellow, Burley and Orient species
  • a calibration curve was prepared by multiple regression analysis in the same manner as in Example 1 except that the calibration curve preparation sample was 187 samples of tobacco yellow species, 92 samples of Burley species and 71 samples of Orient species, for a total of 350 samples.
  • the following estimation formulas (D1) to (D5) could be obtained.
  • Y obtained by the following estimation formula is an estimated value of the apparent density.
  • K (1) to K (5) indicate absorbances at wavelengths of 1653.5 nm, 1730.0 nm, 1498.5 nm, 1910.0 nm, and 2319.5 nm, respectively, which were differentiated after the spectrum measurement.
  • the coefficient of determination (R 2 ) was 0.6867 to 0.8159, and the standard error was 0.0314 to 0.0407.
  • FIG. 4 shows the relationship between the apparent density obtained by the conventional measuring method and the apparent density estimated value obtained by the near infrared spectroscopy using the estimation formula (D5) for each calibration curve preparation sample. ("CAL" in FIG. 4).
  • the transmission absorption spectrum was measured, and the yellow species 59 samples were measured using the absorbance at the wavelengths 1498.5 nm, 1653.5 nm, 1730.0 nm, 1910.0 nm, and 2319.5 nm and the estimation formula (D5) that were differentiated after the spectrum measurement. Apparent density estimates were calculated for 26 samples of Burley species and 23 samples of Orient species.
  • the apparent density obtained by the conventional measurement method and the apparent density obtained by the near infrared spectroscopy are used. There was a high correlation with the density estimate. That is, even if the tobacco materials in the measurement sample are different, the apparent density of the tobacco can be accurately measured using a common calibration curve.
  • Example 5 Apparent density measurement of yellow, Burley, Orient and native species using PLS regression analysis
  • the calibration curve preparation samples were 307 samples of domestic and foreign tobacco yellow species 138 samples, Burley species 123 samples, Orient species 31 samples, and 15 native species 15 samples, respectively, and the transmission absorption spectrum was obtained in the same manner as in Example 1. Was measured.
  • the correlation between the measured transmission absorption spectrum and the apparent density measured by the conventional method was analyzed using PLS regression analysis. Specifically, using the statistical processing software built in the near-infrared spectrometer, each transmission absorption spectrum is spectrally converted by the second derivative method, and after performing principal component analysis, a calibration curve is obtained by PLS regression analysis. Created. As a result, a calibration curve having a practically sufficient correlation with a coefficient of determination (R 2 ) of 0.9055 was obtained.
  • FIG. 5 shows the relationship between the apparent density obtained by the conventional measurement method and the estimated value of the apparent density obtained by the near-infrared spectroscopy using the estimation formula for each calibration curve preparation sample (see FIG. 5). 5) "CAL").
  • Absorption spectrum is measured every 0.5 nm within a wavelength range of 800 nm to 2500 nm, and using the estimation formula obtained above, 50 samples of yellow species, 44 samples of Burley species, 11 samples of Orient species and 5 samples of conventional species The estimated value of the apparent density was calculated for a total of 110 samples.
  • Example 6 Apparent density measurement using yellow, Burley, Orient, and native seeds using PLS regression analysis
  • the calibration curve preparation samples were 644 samples of domestic and foreign tobacco yellow species 290 samples, Burley species 226 samples, Orient species 64 sumps and 64 native species 64 samples. Was measured. However, for the measurement, the tobacco itself was used instead of the powdered sample.
  • the correlation between the measured transmission absorption spectrum and the apparent density measured by the conventional method was analyzed by PLS regression analysis using the same method as in Example 5. As a result, a calibration curve having a practically sufficient correlation with a determination coefficient (R 2 ) of 0.7518 was obtained.
  • FIG. 6 shows the relationship between the apparent density value obtained by the conventional measurement method and the estimated value of the apparent density obtained by the near-infrared spectroscopy using the estimation formula for each calibration curve preparation sample ( “CAL” in FIG. 6).
  • CAL the estimation formula for each calibration curve preparation sample
  • An absorption spectrum is measured every 0.5 nm within a wavelength range of 800 to 2500 nm, and using the estimation formula obtained above, 95 yellow samples, 74 Burley species, 21 Orient species, and 21 native species are used. Apparent density estimated values were calculated for a total of 211 samples.
  • the present invention can be used for the design and manufacture of cigarettes.

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

La présente invention concerne un procédé de mesure de la densité apparente d'une matière première de tabac sans mise en œuvre d'opérations compliquées, la présente invention étant caractérisée en ce qu'elle comprend : un procédé dans lequel des rayons infrarouges proches sont irradiés sur un échantillon de matière première de tabac, qui est sous forme pulvérisée ou sous forme hachée, et le spectre de réflexion diffuse ou le spectre de transmittance/absorption est mesuré ; et un procédé dans lequel le spectre de transmittance/absorption mesuré ou le spectre de réflexion diffuse mesuré est utilisé pour calculer une valeur estimée pour la densité apparente à partir d'une courbe d'étalonnage préalablement tracée.
PCT/JP2012/057170 2011-03-22 2012-03-21 Procédé de mesure de la densité apparente WO2012128281A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JPPCT/JP2011/056805 2011-03-22
PCT/JP2011/056805 WO2012127617A1 (fr) 2011-03-22 2011-03-22 Procédé de mesure de la densité apparente

Publications (1)

Publication Number Publication Date
WO2012128281A1 true WO2012128281A1 (fr) 2012-09-27

Family

ID=46878811

Family Applications (2)

Application Number Title Priority Date Filing Date
PCT/JP2011/056805 WO2012127617A1 (fr) 2011-03-22 2011-03-22 Procédé de mesure de la densité apparente
PCT/JP2012/057170 WO2012128281A1 (fr) 2011-03-22 2012-03-21 Procédé de mesure de la densité apparente

Family Applications Before (1)

Application Number Title Priority Date Filing Date
PCT/JP2011/056805 WO2012127617A1 (fr) 2011-03-22 2011-03-22 Procédé de mesure de la densité apparente

Country Status (1)

Country Link
WO (2) WO2012127617A1 (fr)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104568828A (zh) * 2015-01-30 2015-04-29 云南中烟工业有限责任公司 近红外漫反射光谱测定造纸法再造烟叶抗张强度的方法
CN104596978A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶物理指标定量的方法
CN104596975A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶木质素的方法
CN104596976A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶蛋白质的方法
CN104596982A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶果胶的方法
CN104596974A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶填充值的方法
CN104596979A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶纤维素的方法
CN104777139A (zh) * 2015-04-01 2015-07-15 广东中烟工业有限责任公司 一种同时检测烟草中总汞、无机汞和有机汞的方法和应用
CN106370546A (zh) * 2016-11-18 2017-02-01 湖南核三力技术工程有限公司 风力输送后烟丝整丝率与碎丝率取样测试方法及取样装置
CN107491784A (zh) * 2017-08-09 2017-12-19 云南瑞升烟草技术（集团）有限公司 基于深度学习算法的烟叶近红外光谱定量建模方法及应用

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103234936A (zh) * 2013-04-16 2013-08-07 红云红河烟草(集团)有限责任公司 一种准确表征卷烟叶丝干燥工序物料加工强度的方法
CN106036974A (zh) * 2016-07-18 2016-10-26 红塔烟草(集团)有限责任公司 卷烟厂制丝车间工序时间检测介质、检测装置及检测方法
CN106290239A (zh) * 2016-08-17 2017-01-04 广东中烟工业有限责任公司 一种识别复配加料香精种类及浓度偏离的方法
CN107796782B (zh) * 2017-10-16 2020-09-22 云南中烟工业有限责任公司 基于烟叶特征光谱一致性度量的复烤质量稳定性评价方法
CN109991122B (zh) * 2019-04-12 2021-07-06 中国烟草总公司郑州烟草研究院 一种基于线性网络法的卷烟吸阻稳定性检测评价方法
CN110174371A (zh) * 2019-05-05 2019-08-27 贵州中烟工业有限责任公司 一种基于近红外技术的烟丝加工中质量变化的表征方法
CN113390799B (zh) * 2021-06-24 2023-06-27 中国烟草总公司郑州烟草研究院 一种烟叶中梗的识别与检测方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000333663A (ja) * 1999-05-25 2000-12-05 Japan Tobacco Inc 喫味用物品若しくはその部品の密度検出装置
WO2002003818A1 (fr) * 2000-07-11 2002-01-17 Japan Tobacco Inc. Dispositif de mesure du facteur de remplissage d'une charge permettant de former un boudin
WO2002035211A1 (fr) * 2000-10-25 2002-05-02 Japan Tobacco Inc. Dispositif de detection de densite pour la degustation d'article ou de composant de celui-ci
JP2009275314A (ja) * 2008-05-15 2009-11-26 Mitsubishi Rayon Co Ltd アセテートトウの品質測定方法、その捲縮レベルの制御方法及び制御装置
JP2011017565A (ja) * 2009-07-07 2011-01-27 Nagoya Univ 木材の光学式品質評価方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4805641A (en) * 1985-07-31 1989-02-21 Korber Ag Method and apparatus for ascertaining the density of wrapped tobacco fillers and the like
DE3801115C2 (de) * 1987-01-31 1996-10-17 Hauni Werke Koerber & Co Kg Verfahren und Vorrichtung zum Bestimmen der Dichte eines Faserstrangs der tabakverarbeitenden Industrie
JPH06288892A (ja) * 1993-03-31 1994-10-18 Japan Tobacco Inc 粒度測定装置
JPH07310223A (ja) * 1994-05-17 1995-11-28 Toray Ind Inc 繊維糸条の付着油剤量の測定方法およびその装置
JP3268972B2 (ja) * 1996-04-26 2002-03-25 東北電力株式会社 炭種性状判別方法
JP2002340792A (ja) * 2001-05-17 2002-11-27 Opt Giken Kk 高分子材料の密度測定方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000333663A (ja) * 1999-05-25 2000-12-05 Japan Tobacco Inc 喫味用物品若しくはその部品の密度検出装置
WO2002003818A1 (fr) * 2000-07-11 2002-01-17 Japan Tobacco Inc. Dispositif de mesure du facteur de remplissage d'une charge permettant de former un boudin
WO2002035211A1 (fr) * 2000-10-25 2002-05-02 Japan Tobacco Inc. Dispositif de detection de densite pour la degustation d'article ou de composant de celui-ci
JP2009275314A (ja) * 2008-05-15 2009-11-26 Mitsubishi Rayon Co Ltd アセテートトウの品質測定方法、その捲縮レベルの制御方法及び制御装置
JP2011017565A (ja) * 2009-07-07 2011-01-27 Nagoya Univ 木材の光学式品質評価方法

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104568828A (zh) * 2015-01-30 2015-04-29 云南中烟工业有限责任公司 近红外漫反射光谱测定造纸法再造烟叶抗张强度的方法
CN104596978A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶物理指标定量的方法
CN104596975A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶木质素的方法
CN104596976A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶蛋白质的方法
CN104596982A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶果胶的方法
CN104596974A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶填充值的方法
CN104596979A (zh) * 2015-01-30 2015-05-06 云南中烟工业有限责任公司 近红外漫反射光谱技术测定造纸法再造烟叶纤维素的方法
CN104777139A (zh) * 2015-04-01 2015-07-15 广东中烟工业有限责任公司 一种同时检测烟草中总汞、无机汞和有机汞的方法和应用
CN106370546A (zh) * 2016-11-18 2017-02-01 湖南核三力技术工程有限公司 风力输送后烟丝整丝率与碎丝率取样测试方法及取样装置
CN106370546B (zh) * 2016-11-18 2018-10-16 湖南核三力技术工程有限公司 风力输送后烟丝整丝率与碎丝率取样测试方法及取样装置
CN107491784A (zh) * 2017-08-09 2017-12-19 云南瑞升烟草技术（集团）有限公司 基于深度学习算法的烟叶近红外光谱定量建模方法及应用

Also Published As

Publication number Publication date
WO2012127617A1 (fr) 2012-09-27

Similar Documents

Publication Publication Date Title
WO2012128281A1 (fr) Procédé de mesure de la densité apparente
WO2012127615A1 (fr) Procédé de mesure de la capacité de remplissage
Duan et al. Determination of 27 chemical constituents in Chinese southwest tobacco by FT-NIR spectroscopy
Magwaza et al. The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of ‘Nules Clementine’mandarin fruit
JP4505598B2 (ja) 茶葉中に含まれる化学成分の定量方法
Arendse et al. Fourier transform near infrared diffuse reflectance spectroscopy and two spectral acquisition modes for evaluation of external and internal quality of intact pomegranate fruit
CN104990895B (zh) 一种基于局部区域的近红外光谱信号标准正态校正方法
Chia et al. Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison
Martín-Tornero et al. Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations
Torres et al. Fast and accurate quality assessment of Raf tomatoes using NIRS technology
Baqueta et al. Quality control parameters in the roasted coffee industry: a proposal by using MicroNIR spectroscopy and multivariate calibration
Xue et al. Dynamic prediction models for alkaloid content using NIR technology for the study and online analysis of parching in areca seed
Bindereif et al. Complementary use of 1H NMR and multi-element IRMS in association with chemometrics enables effective origin analysis of cocoa beans (Theobroma cacao L.)
Sánchez-Paternina et al. Near infrared spectroscopic transmittance measurements for pharmaceutical powder mixtures
Torres et al. Monitoring quality and safety assessment of summer squashes along the food supply chain using near infrared sensors
Luo et al. Near infrared spectroscopy combination with PLS to monitor the parameters of naproxen tablet preparation process
Estopa et al. NIR spectroscopic models for phenotyping wood traits in breeding programs of Eucalyptus benthamii
Mat et al. Prediction of sugarcane quality parameters using visible-shortwave near infrared spectroradiometer
WO2013145437A1 (fr) Procédé de mesure de la teneur en menthol
CN110210005A (zh) 一种无参考值的光谱波数选择方法
Camps et al. Determination of artemisinin and moisture content of Artemisia annua L. dry powder using a hand-held near infrared spectroscopy device
Yahaya et al. Visible spectroscopy calibration transfer model in determining pH of Sala mangoes
JP5822985B2 (ja) 膨こう性測定方法
JP5617032B2 (ja) 膨こう性測定方法
CN105787518B (zh) 一种基于零空间投影的近红外光谱预处理方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12760740

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12760740

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: JP