Study on the Relationship between Chromaticity Signal Values and Plastid Pigments in Different Sections of Tobacco Leaves during Curing Process

doi:10.15933/j.cnki.1004-3268.2025.02.019

Abstract

Abstract: In order to achieve online monitoring of plastid pigments and colors in different sections of tobacco leaves during the baking process，and provide reference for the processing of different sections of tobacco leaves and the realization of intelligent baking，technologies such as chromaticity signal monitoring equipment，acetone spectrophotometer colorimetric method，and colorimeter were used to measure the chromaticity signal values，pigment content，and color parameters of different sections of tobacco leaves at key temperature points during the baking process，and analyze their changes.Correlation analysis and regression analysis methods were used to analyze the correlation between chromaticity signal values，pigments，and color parameters，and regression equations between chromaticity signal values and pigments were constructed and verified. The results showed that there were significant differences in the content of chlorophyll and carotenoids in different sections of fresh tobacco leaves during the baking process，manifested as leaf base>leaf middle>leaf tip.The correlation analysis results showed that the brightness value（L^*），redness value（a^*），and yellowness value（b^*）of different sections of tobacco were significantly negatively correlated with the content of chlorophyll a，chlorophyll b，chlorophyll，and carotenoids；The chromaticity signal values in different sections were significantly positively correlated with brightness value（L^*），redness value（a^*），and yellowness value（b^*），and significantly negatively correlated with chlorophyll a，chlorophyll b，chlorophyll，and carotenoid content.The regression analysis results indicated that the chromaticity signal values of tobacco leaves in different sections had a high degree of fit with chlorophyll a，chlorophyll b，chlorophyll，and carotenoid content；The regression equation validation results showed that the relative errors of chlorophyll a，chlorophyll b，chlorophyll，and carotenoid content in the leaf base were 8.19%，9.13%，8.42%，and 13.58%，respectively.The relative errors of chlorophyll a，chlorophyll b，chlorophyll，and carotenoid content in the leaf middle were 11.39%，6.63%，10.42%，and 7.63%，respectively.The relative errors of chlorophyll a，chlorophyll b，chlorophyll，and carotenoid content in the leaf tip were 11.47%，10.79%，10.21%，and 11.58%，respectively.In summary，the chromaticity signal monitoring equipment has small experimental errors，high degree of automation，and high accuracy，which can achieve rapid and accurate monitoring of pigment in different sections of tobacco during the baking process.

Key words: Tobacco leaf, Curing, Chromaticity signal, Section, Plastid pigment, Real?time monitoring

摘要： 为实现烘烤过程中烟叶不同区段质体色素及颜色的在线监测，为烟叶不同区段加工及实现智能烘烤提供参考，采用色度信号监测设备、丙酮-分光光度计比色法和色差仪等分别测定烘烤过程中关键温度点烟叶不同区段的色度信号值、色素含量和颜色参数，并分析其变化规律，借助相关性分析和回归分析方法分析色度信号值、色素、颜色参数之间的相关性，构建色度信号值与色素之间的回归方程，并进行验证。结果表明，烘烤过程中鲜烟叶不同区段叶绿素、类胡萝卜素含量存在明显差异，表现为叶基>叶中>叶尖。相关性分析结果表明，烟叶不同区段亮度值（L^*）、红度值（a^*）、黄度值（b^*）与叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量均呈极显著负相关关系；不同区段色度信号值与亮度值（L^*）、红度值（a^*）、黄度值（b^*）均呈极显著正相关关系，与叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量均呈极显著负相关关系。回归分析结果表明，不同区段烟叶色度信号值与叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量拟合度较高；回归方程验证结果表明，叶基叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量相对误差分别为8.19%、9.13%、8.42%、13.58%，叶中叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量相对误差分别为11.39%、6.63%、10.42%、7.63%，叶尖叶绿素a、叶绿素b、叶绿素、类胡萝卜素含量相对误差分别为11.47%、10.79%、10.21%、11.58%。综上，色度信号检测设备试验误差小、自动化程度高、准确度高，能够实现对烘烤过程中不同区段烟叶质体色素的快速精准监测。

关键词: 烟叶, 烘烤, 色度信号, 区段, 质体色素, 实时监测

CLC Number:

S572

SHAN Jiaye, WANG Qiuling, LI Chunguang, LI Quansheng, ZOU Shenghao, SUN Mi, LUO Dongsheng, XI Feihu, JING Yanqiu. Study on the Relationship between Chromaticity Signal Values and Plastid Pigments in Different Sections of Tobacco Leaves during Curing Process[J]. Journal of Henan Agricultural Sciences, 2025, 54(2): 163-173.

单嘉烨, 王秋领, 李春光, 李全胜, 邹声浩, 孙觅, 罗东升, 席飞虎, 景延秋. 烘烤过程中烟叶不同区段色度信号值与质体色素关系研究[J]. 河南农业科学, 2025, 54(2): 163-173.

Figures/Tables 10

References

［1］范宁波，蔡斌，张瑞娜，等. 雪茄烟叶晾制过程色素降解和膜脂过氧化对颜色变化的影响［J］.中国烟草学报，2021，27（2）：102⁃108.
FAN N B，CAI B，ZHANG R N，et al.The influence of pigment degradation and membrane lipid peroxidation on color change of cigar tobacco during air curing［J］.Acta Tabacaria Sinica，2021，27（2）：102⁃108.
［2］董淑君，黄明迪，王耀锋，等.密集烤房与普通烤房烘烤中烟叶色素和多酚含量的变化分析［J］.中国烟草科学，2015，36（1）：90⁃95.
DONG S J，HUANG M D，WANG Y F，et al.Change difference of pigment and polyphenol contents between bulk⁃curing barn and traditional flue⁃curing barn during curing process［J］.Chinese Tobacco Science，2015，36（1）：90⁃95.
［3］陆新莉，苟正贵，刘婕，等. 不同基因型烟草叶片在成熟过程中质体色素的变化［J］.中国农学通报，2019，35（15）：35⁃39.
LU X L，GOU Z G，LIU J，et al. Change of chromoplast pigments of different⁃genotype tobacco leaves during maturity［J］.Chinese Agricultural Science Bulletin，2019，35（15）：35⁃39.
［4］金云峰，王莎莎，张建波，等. 生长温度对不同生育期烟草叶片光合作用及质体色素代谢的影响［J］.中国农学通报，2015，31（22）：57⁃74.
JIN Y F，WANG S S，ZHANG J B，et al. Effects of different growth temperatures on photosynthesis and plastid pigment catabolism of tobacco leaves at different growth stages［J］.Chinese Agricultural Science Bulletin，2015，31（22）：57⁃74.
［5］黄明月，牛德新，王立志，等.施用有机肥对成熟期烤烟质体色素的影响［J］.中国农业科技导报，2018，20（4）：29⁃35.

HUANG M Y，NIU D X，WANG L Z，et al. Effects of organic fertilizer application on the biosynthesis of plastid pigment in flue⁃cured tobacco［J］. Journal of Agricultural Science and Technology，2018，20（4）：29⁃35.

［6］武圣江，张长云，郭亮，等. 贵州烤烟色素含量和颜色值随生育期的变化及其相关性［J］. 中国烟草科学，2014，35（4）：64⁃69.

WU S J，ZHANG C Y，GUO L，et al. Changes of pigment contents and color parameters value with growth stage and their correlation of flue⁃cured tobacco leaves in Guizhou［J］. Chinese Tobacco Science，2014，35（4）：64⁃69.

［7］李生栋，谭方利，黎妍妍，等. 不同素质烟叶烘烤过程中颜色值与色素含量的关系［J］.南方农业学报，2016，47（9）：1570⁃1575.

LI S D，TAN F L，LI Y Y，et al.Relationship between color parameters and pigment contents during flue⁃curing process of different⁃quality tobacco leaves［J］. Journal of Southern Agriculture，2016，47（9）：1570⁃1575.

［8］徐安传，胡巍耀. 烟叶不同区位叶黄素和β-胡萝卜素分布特征的研究［J］.中国烟草科学，2013，34（2）：59⁃63.

XU A C，HU W Y. Distribution characteristics of lutein and β⁃carotene in different leaf positions of flue⁃cured tobacco［J］.Chinese Tobacco Science，2013，34（2）：59⁃63.

［9］颜克亮，武怡，曾晓鹰，等.“三段式”分切烟叶醇化品质差异性比较与分析［J］.中国烟草科学，2011，32（4）：23⁃27.

YAN K L，WU Y，ZENG X Y，et al. Quality difference of aging tobacco leaf by three section cutting［J］.Chinese Tobacco Science，2011，32（4）：23⁃27.

［10］韦克苏，涂永高，王丰，等. 基于近红外光谱的烟叶烘烤过程质体色素实时监测［J］. 江苏农业科学，2021，49（16）：184⁃188.

WEI K S，TU Y G，WANG F，et al. Real⁃time quantitative analysis of chlorophyll and carotene in tobacco during bulk curing process by near⁃infrared spectroscopy［J］.Jiangsu Agricultural Sciences，2021，49（16）：184⁃188.

［11］蒋柏春，李德仑，韦克苏，等. 基于高光谱的烤烟叶绿素含量估算模型研究［J］.中国农机化学报，2022，43（3）：104⁃110.

JIANG B C，LI D L，WEI K S，et al. Estimation model of chlorophyll content of flue⁃cured tobacco based on hyperspectral［J］.Journal of Chinese Agricultural Mechanization，2022，43（3）：104⁃110.

［12］高辉，杨晶津，王慧，等. 初烤烟叶不同区位色差变化及Fisher最优分割法分析［J］.烟草科技，2020，53（9）：62⁃68.

GAO H，YANG J J，WANG H，et al. Chromatic aberrations of different parts of cured tobacco leaf by Fisher optimal segmentation analysis［J］. Tobacco Science & Technology，2020，53（9）：62⁃68.

［13］李青山，张玉琴，沈晗，等. 基于叶绿素相对含量的烤烟叶色仿真［J］.山西农业大学学报（自然科学版），2020，40（3）：110⁃117.

LI Q S，ZHANG Y Q，SHEN H，et al. Visual simulation of tobacco leaf color based on the relative content of chlorophyll［J］.Journal of Shanxi Agricultural University（Natural Science Edition），2020，40（3）：110⁃117.

［14］梁洪波，李念胜，元建，等. 烤烟烟叶颜色与内在品质的关系［J］.中国烟草科学，2002，23（1）：9⁃11.

LIANG H B，LI N S，YUAN J，et al.Correlation between tobacco leaf colors and inherent qualities［J］.Chinese Tobacco Science，2002，23（1）：9⁃11.

［15］黄涛，俞世康，顾会战，等. 烘烤过程中烟叶色度信号值与主要化学成分的关系［J］.江苏农业科学，2022，50（5）：173⁃180.

HUANG T，YU S K ，GU H Z，et al. Relationship between tobacco color scale signal value and main chemical composition during baking［J］.Jiangsu Agricultural Sciences，2022，50（5）：173⁃180.

［16］孙福山，陈江华，刘建利.烟叶收购质量现状与改善等级结构技术探讨［J］.中国烟草学报，2002，8（2）：29⁃33.

SUN F S，CHEN J H，LIU J L.The present situation of leaf quality of purchased flue⁃cured tobacco in China

and techniques for improving leaf grade structure［J］.Acta Tabacaria Sinica，2002，8（2）：29⁃33.

［17］张军刚，王永利，吕国新，等. 烤烟成熟过程中鲜烟颜色值与色素含量变化及相关分析［J］.中国烟草科学，2014，35（1）：54⁃60.

ZHANG J G，WANG Y L，LÜ G X，et al. Changes of color parameters and pigment contents in flue⁃cured tobacco leaves during maturing process and their correlational relationship［J］.Chinese Tobacco Science，2014，35（1）：54⁃60.

［18］刘朝营，许自成，闫铁军. 机器视觉技术在烟草行业的应用状况［J］.中国农业科技导报，2011，13（4）：79⁃84.

LIU C Y，XU Z C，YAN T J. Application status of machine vision technology in tobacco industry［J］.Journal of Agricultural Science and Technology，2011，13（4）：79⁃84.

［19］张娟利，宋朝阳，韩文霆，等. 基于RGB图像处理的烟叶水分无损检测方法研究［J］. 中国农机化学报，2019，40（5）：62⁃68.

ZHANG J L，SONG Z Y，HAN W T，et al.Nondestructive testing of tobacco leaf water status by using digital RGB images［J］.Journal of Chinese Agricultural Mechanization，2019，40（5）：62⁃68.

［20］过伟民，魏春阳，张艳玲，等. 烤烟表面颜色的量化及其与胡萝卜素类物质的关系［J］.烟草科技，2012，45（1）：62⁃68.

GUO W M，WEI C Y，ZHANG Y L，et al.Quantitation of surface color of flue⁃cured tobacco leaves and its relationship with carotenoid［J］.Tobacco Science &Technology，2012，45（1）：62⁃68.

［21］霍开玲，宋朝鹏，武圣江，等.不同成熟度烟叶烘烤中颜色值和色素含量的变化［J］.中国农业科学，2011，44（10）：2013⁃2021.

HUO K L，SONG Z P，WU S J，et al.Study on changes of color parameters and pigment contents in flue⁃cured tobacco leaves with different maturities during bulk⁃curing process［J］.Scientia Agricultura Sinica，2011，44（10）：2013⁃2021.

［22］段史江，马力，史龙飞，等. 基于图像处理的密集烘烤过程烟叶β-胡萝卜素含量的检测［J］. 湖南农业大学学报（自然科学版），2011，37（5）：490⁃493.
DUAN S J，MA L，SHI L F，et al. Detection on content of β⁃carotene during bulk curing based on image processing［J］. Journal of Hunan Agricultural University（Natural Sciences），2011，37（5）：490⁃493.

［23］姜增昀，祝诗平，冯川，等.高精度轻量级烟叶烘烤阶段识别模型研究［J］.中国烟草学报，2023，29（1）：55⁃63.
JIANG Z Y，ZHU S P，FENG C，et al. Research on high⁃precision lightweight model for tobacco leaf curing stage identification［J］. Acta Tabacaria Sinica，2023，29（1）：55⁃63.

［24］李峥. 烘烤中基于色度学的烟叶颜色变化与水分及化学成分关系［D］. 郑州：河南农业大学，2019.
LI Z. Relationship between color change，moisture and chemical composition of tobacco leaves based on colorimetry during curing［D］.Zhengzhou：Henan Agricultural University，2019.

［25］李丽华，杨铁钊，张小全，等. 不同基因型烟草叶片成熟过程中质体色素降解及相关酶活性变化［J］.江苏农业科学，2014，42（3）：65⁃68.
LI L H，YANG T Z，ZHANG X Q，et al.Changes of plastid pigment degradation and related enzyme activities during leaf maturity of different genotypes of tobacco［J］.Jiangsu Agricultural Sciences，2014，42 （3）：65⁃68.

［26］魏硕，王涛，王松峰，等.烤烟变黄期叶绿素降解动力学分析［J］.中国烟草科学，2017，38（4）：86⁃91.
WEI S，WANG T，WANG S F，et al. Analysis of the chlorophyll degradation kinetics of flue⁃cured tobacco during the yellowing stage［J］.Chinese Tobacco Science，2017，38（4）：86⁃91.

［27］孟凡来，赵昶灵，段丽斌，等. 高等植物类胡萝卜素的生物降解途径研究进展［J］.中国农学通报，2013，29（24）：143⁃150.
MENG F L，ZHAO C L，DUAN L B，et al.The progress of biodegradation pathways of the carotenoids in higher plants［J］.Chinese Agricultural Science Bulletin，2013，29（24）：143⁃150.

［28］史宏志，顾少龙，段卫东，等. 不同基因型烤烟质体色素降解及与烤后烟叶挥发性降解物含量关系［J］.中国农业科学，2012，45（16）：3346⁃3356.
SHI H Z，GU S L，DUAN W D，et al.Degradation of plastid pigment and its relationship with volatile catabolite content in cured leaves of different genotypes of flue⁃cured tobacco［J］.Scientia Agricultura Sinica，2012，45（16）：3346⁃3356.

［29］张清明，叶建如，靖军领，等. 翠碧1号烟叶烘烤过程中色素降解及化学成分变化［J］.中国烟草科学，2014，35（2）：122⁃125.
ZHANG Q M，YE J R，JING J L，et al.Pigment degradation and chemical component change during curing of flue⁃cured tobacco cuibi 1［J］.Chinese Tobacco Science，2014，35（2）：122⁃125.

［30］张烨，王松峰，许锡祥，等.烟叶烘烤中不同区段叶片含水量、色素和酶活性变化［J］.中国烟草科学，2018，39（6）：66⁃72.
ZHANG Y，WANG S F，XU X X，et al.Changes of water content，pigments and enzymes activities in tobacco leaves of different sections during flue⁃curing process［J］.Chinese Tobacco Science，2018，39（6）：66⁃72.

［31］熊涛.烟叶烘烤过程中外观形态与内在质量关系研究［D］.北京：中国农业科学院，2021.
XIONG T. Study on the relationship between appearance and internal quality of tobacco leaves during curing［D］.Beijing：Chinese Academy of Agricultural Sciences，2021.

［32］杨立均，宫长荣，马京民. 烘烤过程中烟叶色素的降解及与化学成分的相关分析［J］.中国烟草科学，2002，23（2）：5⁃7.
YANG L J，GONG C R，MA J M.Degradation of pigment in tobacco leaf during flue⁃curing process and relative analysis with chemical compositions［J］.Chinese Tobacco Science，2002，23（2）：5⁃7.

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