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  • 主管单位:中华人民共和国农业农村部
    主办单位:中国农业科学院柑桔研究所
    主  编:陈善春
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    国际标准连续出版物号:1007-1431
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赵婉彤,薛杨,申晚霞,孙珍珠,王林学,江东,赵晓春.宽皮柑桔可滴定酸检测方法的对比研究[J].中国南方果树,2022,51(2):
宽皮柑桔可滴定酸检测方法的对比研究
Comparation of different methods for detection of titratable acid content in mandarin citrus
投稿时间:2021-07-23  修订日期:2021-08-27
DOI:10.13938/j.issn.1007-1431.20210457
中文关键词:  宽皮柑桔  近红外  可滴定酸  果实品质
英文关键词:Mandarins  near infrared  titratable acid  fruit quality
基金项目:西南大学实验技术研究项目S,SYJ2020026
作者单位E-mail
赵婉彤 西南大学 柑桔研究所 zhaowantong@cric.cn 
薛杨 西南大学 柑桔研究所 xueyang@cric.cn 
申晚霞 西南大学 柑桔研究所 shenwanxia@cric.cn 
孙珍珠 西南大学柑桔研究所 1163580638@qq.com 
王林学 渝北区农业技术推广站 854165567@qq.com 
江东 西南大学 柑桔研究所 jiangdong@cric.cn 
赵晓春* 西南大学 柑桔研究所 zhaoxiaochun@cric.cn 
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中文摘要:
      柑桔果实酸度是决定果实品质和风味的重要指标之一,目前对柑桔果实可滴定酸的测定主要是用化学检测方法,该方法耗时,无法进行高通量的检测。本研究利用近红外光谱和化学测定方法对240个宽皮柑桔品种果实的可滴定酸含量进行了连续两年的检测,通过对样品的近红外光谱与化学测定值进行拟合建模,建立了宽皮柑桔可滴定酸的偏最小二乘法(PLS)模型。结果表明,在特征波长5370-6550nm构建的PLS模型,以一阶导数+Norris消噪光谱预处理的预测效果最好,其相关系数为0.9861,RMSEC为0.0969,RMSECV为0.166,RMSEP为0.155。该模型对可滴定酸的预测值与化学测定法的测定值有极显著的相关性。参考国标采用的化学测定法,将近红光谱法与PAL-1手持测定仪进行对比分析,近红外光谱法与化学测定法具有更显著的相关性,而且在不同的酸含量范围内相关性没有明显差异。本研究的结果说明近红外光谱法具有较高的稳定性与精确度,可用于替代化学测定法对宽皮柑桔果实的可滴定酸进行高通量的精准检测。
英文摘要:
      Citrus fruit acidity is one of the important factors determining the fruit quality and flavor. At present, chemical detection method is a major method to determine titratable acid in citrus fruit. This method is time-consuming and laborious. It is not capable for high-throughput detection of large number of samples. In this study, the titratable acid contents of 240 mandarin varieties were analyzed for two consecutive years with near-infrared spectroscopy and chemical analysis methods. Partial Least Squares(PLS)model of mandarin titratable acid for near-infrared analysis was established by analysis of the fitness of near-infrared spectra values to chemical measurement values. The results showed that the NIR PLS model has the best prediction value with the first derivative+Norris denoising spectrum in the characteristic wavelength range of 5370~6550nm, with the correlation coefficient of 0.9861, RMSEC of 0.0969, RMSECV of 0.166, and RMSEP of 0.155. The value predicted by the near-infrared spectroscopy method is significantly correlated to the value of the chemical analysis, which is the national standard method. The near-infrared spectroscopy method demonstrated higher accuracy and repeatability than other two commonly used methods chemical analysis and PAL-1 portable detection device. The near-infrared spectroscopy is time-saving. It has the great advantages to be applied for high-throughput analysis of large number of samples.
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