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Article

Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube

Graduate Institute of Precision Engineering, National Chung Hsing University, No.145, Xingda Rd., South Dist., Taichung 402, Taiwan
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Appl. Sci. 2019, 9(24), 5317; https://doi.org/10.3390/app9245317
Received: 31 October 2019 / Revised: 2 December 2019 / Accepted: 2 December 2019 / Published: 6 December 2019
(This article belongs to the Special Issue Joint Special Issue With OPTIC 2019)
Herein, we developed a nondestructive detection system with low prediction errors for determining the vitamin C content in Indian jujube. This system comprises a Ge photodetector, a halogen lamp and five near-infrared (NIR) bandpass filters. The detection of vitamin C is enabled by the absorption of its OH and CH2 bonds in the NIR region. The light beams of our system were parallel-polarized and designed to be incident on the fruit at the Brewster angle (θB), which reduces reflectance noise from the fruit’s skin and enhances the OH and CH2 absorption signals of the fruit’s flesh. After the reflectance signal was analyzed by the partial least squares (PLS) algorithm to obtain the predicted vitamin C content of each fruit, the coefficient of prediction ( r p 2 ) and root-mean-square error of prediction (RMSEP) were calculated. When wavelengths of 1200, 1400, 1450, 1500 and 1550 nm were used for probing, r p 2 and RMSEP of the system detecting vitamin C were 0.84 and 1.65 mg/100 g, respectively. In summary, the vitamin C content of Indian jujube was predicted using a low-cost NIR detection system having a high r p 2 and low RMSEP; further, it comprises five parallel-polarized NIR beams and the PLS algorithm. View Full-Text
Keywords: Indian jujube; nondestructive techniques (NDT); Brewster angle; parallel-polarized waves Indian jujube; nondestructive techniques (NDT); Brewster angle; parallel-polarized waves
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MDPI and ACS Style

Hua, S.-H.; Hsu, H.-C.; Han, P. Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube. Appl. Sci. 2019, 9, 5317. https://doi.org/10.3390/app9245317

AMA Style

Hua S-H, Hsu H-C, Han P. Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube. Applied Sciences. 2019; 9(24):5317. https://doi.org/10.3390/app9245317

Chicago/Turabian Style

Hua, Shih-Hao, Hsun-Ching Hsu, and Pin Han. 2019. "Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube" Applied Sciences 9, no. 24: 5317. https://doi.org/10.3390/app9245317

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