Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy
文献类型:期刊论文
作者 | Zhang, Yunqi1,2; Chen, Yong1,2; Wu, Yun1; Cui, Chaoyuan1 |
刊名 | APPLIED OPTICS |
出版日期 | 2021-05-01 |
卷号 | 60 |
ISSN号 | 1559-128X |
DOI | 10.1364/AO.423994 |
通讯作者 | Cui, Chaoyuan(cycui@iim.ac.cn) |
英文摘要 | Rapid, nondestructive and accurate detection of internal qualities of the apple is an important research interest. In this study, the brix, acidity and brix/acidity ratio of the apple were rapidly detected by visible and near-infrared spectroscopy (VIS-NIRS). By scanning spectra and measuring the reference values of brix and acidity of apple samples, the relationship models between the spectra and brix, acidity, brix/acidity ratiowere, respectively, established. Sample division, characteristic wavelength optimization, and modeling methods were compared systematically, and the optimal prediction model of each quality index was determined. The experimental results show that the competitive adaptive reweighted sampling method can effectively select characteristic wavelengths, which not only improves the prediction speed, but also greatly enhances the prediction accuracy. The established partial least squares models based on these selected characteristic wavelengths all have high accuracy and robustness for the three quality indices. The determination coefficients of the models are 0.9899, 0.9615, 0.9535, and the relative percent deviation are 9.9269, 5.0987, 4.6374, respectively. All this work proves that VIS-NIRS can be used for rapid and nondestructive detection of the internal qualities of an apple. (C) 2021 Optical Society of America |
WOS关键词 | SOLUBLE SOLIDS CONTENT ; QUANTITATIVE-ANALYSIS ; VIS/NIR SPECTROSCOPY ; SUGAR CONTENT ; VITAMIN-C ; QUALITY ; PARAMETERS ; FRUIT ; SOIL |
资助项目 | National Key Research and Development Program of China[2018YFD0700302] |
WOS研究方向 | Optics |
语种 | 英语 |
出版者 | OPTICAL SOC AMER |
WOS记录号 | WOS:000645865100060 |
资助机构 | National Key Research and Development Program of China |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/122113] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Cui, Chaoyuan |
作者单位 | 1.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Yunqi,Chen, Yong,Wu, Yun,et al. Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy[J]. APPLIED OPTICS,2021,60. |
APA | Zhang, Yunqi,Chen, Yong,Wu, Yun,&Cui, Chaoyuan.(2021).Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy.APPLIED OPTICS,60. |
MLA | Zhang, Yunqi,et al."Accurate and nondestructive detection of apple brix and acidity based on visible and near-infrared spectroscopy".APPLIED OPTICS 60(2021). |
入库方式: OAI收割
来源:合肥物质科学研究院
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