会议论文详细信息
1st International Conference on Mechanical Electronic and Biosystem Engineering
Prediction of soluble solid content, vitamin C, total acid and firmness in astringent persimmon (Diospyros kaki L.) cv. Rendeu using NIR spectroscopy
Hasnah Ar, Nur^1 ; Purwanto, Yohanes Aris^1^2 ; Budiastra, I Wayan^1 ; Sobir, S.^2
Department of Mechanical and Biosystem Engineering, Bogor Agricultural University, Indonesia^1
Center of Tropical Horticulture Studies, Bogor Agricultural University, Indonesia^2
关键词: Calibration model;    Multiplicative scatter correction;    NIR spectroscopy;    Non-destructive measurement;    Partial least square (PLS);    Quality criteria;    Real time measurements;    Soluble solid content;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012086/pdf
DOI  :  10.1088/1757-899X/557/1/012086
来源: IOP
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【 摘 要 】
Internal content is one of the important quality criteria in fruit. Quantitative analysis is carried out by using a chemical method. This process is destructive, high cost and time consuming, thus not suitable for real-time measurement. The objective of this study was to evaluate the possibility of the use of near-infrared (NIR) spectroscopy as a rapid method of predicting the internal quantitative quality of persimmon fruit such as solid soluble content (SSC), vitamin C, total acid and firmness. The spectra pre-processing and Partial Least Square (PLS) method were utilized to develop a calibration model. The result showed that the best calibration model was SSC with (MSC) multiplicative scatter correction and 17 PLS factors; vitamin C with MSC and 16 PLS factors; total acid with MSC and 12 PLS factors; firmness with n01 (normalization between 0-1) and 12 PLS factors. This study demonstrated the possibility the use of NIR spectroscopy for rapid and non-destructive measurement of SSC and firmness contents in astringent persimmon. The low accuracy in predicting vitamin C and total acid was obtained due to a limitation of those the contents in persimmon.
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