徐赛,陆华忠,周志艳,吕恩利,王亚娟,杨径.不同保鲜环境荔枝褐变的理化指标识别方法研究[J].农业机械学报,2016,47(3):221-227.
Xu Sai,Lu Huazhong,Zhou Zhiyan,Lü Enli,Wang Yajuan,Yang Jing.Physicochemical Indexes of Browning Identification of Litchi under Different Storing Environments[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(3):221-227.
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不同保鲜环境荔枝褐变的理化指标识别方法研究   [下载全文]
Physicochemical Indexes of Browning Identification of Litchi under Different Storing Environments   [Download Pdf][in English]
投稿时间:2015-12-08  
DOI:10.6041/j.issn.1000-1298.2016.03.031
中文关键词:  荔枝  褐变程度  褐变指数  理化指标  保鲜环境  模式识别
基金项目:国家自然科学基金项目(31571561)、现代农业产业技术体系建设专项资金项目(CARS-33-13)和广东省高等学校优秀青年教师培养计划项目(Y92014025)
作者单位
徐赛 华南农业大学 
陆华忠 华南农业大学 
周志艳 华南农业大学 
吕恩利 华南农业大学 
王亚娟 华南农业大学 
杨径 华南农业大学 
中文摘要:为探究理化指标识别荔枝褐变的可行性,试验获取了3种常用保鲜环境(常温保鲜、冷鲜柜保鲜和气调保鲜)荔枝贮藏过程中褐变程度,色差a*、b*、L*,可溶性固形物含量(TSS)和硬度变化。常温、冷鲜柜和气调3种保鲜环境荔枝褐变指数随褐变程度逐渐增大,其中常温保鲜荔枝增大最快,冷鲜柜保鲜荔枝其次,气调保鲜荔枝较慢。理化指标色差a*、b*、L*和硬度均随褐变指数增大呈减小的趋势,TSS随褐变指数增大变化不明显。采用线性判别分析(LDA)对常温、冷鲜柜和气调3种保鲜环境荔枝褐变程度识别正确率分别为96.67%、100%和100%。但冷鲜柜和气调保鲜荔枝4级与5级果LDA分析数据点较近,实际分类易发生混淆。LDA可较好地识别1级、2级、3级和4~5级荔枝果实。采用偏最小二乘回归(PLSR)建立预测模型同时对3种保鲜环境荔枝褐变程度预测时,训练集与测试集测试值与实际值的拟合决定系数R2分别为0.85和0.90,证明了不同保鲜环境荔枝通过同一个模型进行预测的可行性。试验揭示了褐变、理化指标和保鲜时间之间存在的关系,证明了通过理化指标识别褐变程度的可行性,可为水果褐变准确识别以及商品价值评价提供参考。
Xu Sai  Lu Huazhong  Zhou Zhiyan  Lü Enli  Wang Yajuan  Yang Jing
South China Agricultural University,South China Agricultural University,South China Agricultural University,South China Agricultural University,South China Agricultural University and South China Agricultural University
Key Words:litchi  browning degree  browning indexes  physicochemical indexes  storing environment  pattern recognition
Abstract:For exploring the feasibility of litchi browning identification based on physicochemical indexes, the browning indexes, chromatic aberration a*, b* and L* value, total soluble solids content (TSS) and hard degree of litchi in storing under three common used environments (room temperature environment, refrigerator environment and controlled atmosphere environment) were measured. Under the above three environments, browning indexes of stored litchi were increased with the increasing storing time. However, the increasing speed of stored litchi under room temperature environment was the most fast, the refrigerator environment was the second, and the controlled atmosphere environment was the third. Physicochemical indexes, including chromatic aberration a*, b*, L* value, and hard degree, were decreased with the increasing browning indexes. But the change of TSS was not obvious with the increasing browning index. The accuracy of linear discriminant analysis (LDA) for brown degree identification of stored litchi under room temperature environment, refrigerator environment and controlled atmosphere environment were 96.67%, 100% and 100%, respectively. However, the litchi samples of 4th browning index were similar with those of 5th browning index under both refrigerator environment and controlled atmosphere environment, which may cause confusion in practical classification and identification. Thus, LDA can identify the litchi samples of 1st, the 2nd, the 3rd, the 4th~5th browning index effectively. The results of partial least squares regression (PLSR) for stored litchi under above three environments show that fitting coefficients (R2) of predicted value and actual value were 0.85 and 0.90, respectively, which proves that litchi could be predicted by using the same model but under different environments. This experiment has revealed the relationships among browning indexes, physicochemical indexes and storing time, which proves the feasibility of physicochemical indexes for litchi’s browning identification, and provides a reference for fruit’s browning identification and value estimation.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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