摘要
为了实现对蓝靛果忍冬果实品质无损检测,以蓝靛果忍冬果实作为研究对象,采集果实表皮颜色图像信息并提取颜色特征参数,测定不同采收时间蓝靛果忍冬果实花青素含量,探究颜色变化与花青素含量变化相关性,建立颜色与花青素含量之间的回归预测模型。依据蓝靛果忍冬果实颜色特征参数,采用高斯算法建立花青素含量预测模型。结果表明,自蓝靛果忍冬果实生长的第四阶段半转色期Ⅱ开始,花青素含量快速升高,在第七阶段成熟期达到最高,在此过程中果实颜色由红色明显转为紫黑色;在蓝靛果忍冬果实生长和成熟过程中,以果实三原色和颜色饱和度的单一分量及其算术运算得到组合分量构成了21个颜色特征参数,这些参数与花青素含量有显著相关性(P<0.01);基于果实原色中绿色和蓝色值归一化处理的差值建立花青素含量最优高斯模型,有准确度高(R^(2)_(c)=0.993)、误差低(C_(RMSE)=4.752 mg/100g)、需用参数少(1个)的特点,适用于预测蓝靛果忍冬果实的花青素含量。研究结果可为蓝靛果忍冬生长期间的花青素含量无损检测提供模型依据。
Anthocyanin is one of the most landmark components in Lonicera japonica Thunb.The content of anthocyanin can be utilized to determine the timely harvest time and the quality of fresh fruit.The chemical methods are commonly used to detect the anthocyanin content in berries under laboratory conditions,including spectrophotometry,pH difference,and chromatography.The standard determination of anthocyanins in fruits and vegetables can present high accuracy and wide application.But,online and real-time detection is limited to the long time consuming and strong specialization.It is feasible to predict and evaluate the internal quality of agricultural products,according to their appearance and color characteristics.Taking the Lonicera edulis fruit as the research object,this study aims to determine the relationship between the appearance color indexes and the anthocyanins content under different growth periods.Gaussian processes regression(GPR)model was established to characterize the anthocyanin content as the function of characteristic color indexes of Lonicera edulis fruits.The nondestructive detection of anthocyanin content was also realized in Lonicera edulis fruit.The results indicate that the anthocyanin content of fruit increased rapidly from the fourth stage of Lonicera edulis growth,and the second stage of half color transition.The highest level was achieved at the seventh stage of maturity,during which the fruit color changed from the red to the purple black.During the growth and ripening of Lonicera edulis fruit,21 color characteristic parameters were formed by the single component of RGB tri-color and HSV color saturation of the fruit and the combined component obtained by arithmetic operation.These parameters were significantly correlated with anthocyanin content(P<0.01);Based on the normalized difference of fruit green and blue primary colors,the optimal Gaussian model of anthocyanin content was established with high accuracy(R^(2)_(c)=0.993)and low error(C_(RMSE)=4.752 mg/100g).The typical prediction mode
作者
郑先哲
赵兴隆
刘成海
霍俊伟
杨昊
刘钗
沈柳杨
ZHENG Xianzhe;ZHAO Xinglong;LIU Chenghai;HUO Junwei;YANG Hao;LIU Chai;SHEN Liuyang(College of Engineering,Northeast Agricultural University,Harbin 150030,China;College of Landscape Architecture and Horticulture,Northeast Agricultural University,Harbin 150030,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2023年第2期242-251,共10页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金项目(32072352)。
关键词
颜色
无损检测
浆果
花青素
预测
高斯模型
color
nondestructive detection
berry
anthocyanin
prediction
Gaussian model
