| Prediction of valid acidity in intact apples with Fourier transform near infrared spectroscopy |
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| 作者姓名： | 刘燕德 应义斌 傅霞萍 |
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| 摘 要： | INTRODUCTION Consumers’ acceptance of fresh or processedapples is the ultimate goal of apple breeders, foodscientists and supermarket managers. Internal qualityassessment has focused on two major objectives:removal of fruit with internal defects and taste selec-tion. Three major parameters including sugar content,acidity and firmness have to be taken into account todetermine the internal quality and the taste of an apple.Near infrared spectroscopy has been used to measureseveral properti…
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Prediction of valid acidity in intact apples with Fourier transform near infrared spectroscopy |
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| LIU Yan-de,YING Yi-bin,FU Xia-ping.Prediction of valid acidity in intact apples with Fourier transform near infrared spectroscopy[J].Journal of Zhejiang University Science,2005(3). |
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| Authors: | LIU Yan-de YING Yi-bin FU Xia-ping |
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| Abstract: | To develop nondestructive acidity prediction for intact Fuji apples, the potential of Fourier transform near infrared(FT-NIR) method with fiber optics in interactance mode was investigated. Interactance in the 800 nm to 2619 nm region was measured for intact apples, harvested from early to late maturity stages. Spectral data were analyzed by two multivariate calibration techniques including partial least squares (PLS) and principal component regression (PCR) methods. A total of 120 Fuji apples were tested and 80 of them were used to form a calibration data set. The influences of different data preprocessing and spectra treatments were also quantified. Calibration models based on smoothing spectra were slightly worse than that based on derivative spectra, and the best result was obtained when the segment length was 5 nm and the gap size was 10 points. Depending on data preprocessing and PLS method, the best prediction model yielded correlation coefficient of determination (r2) of 0.759, low root mean square error of prediction (RMSEP) of 0.0677, low root mean square error of calibration (RMSEC) of 0.0562. The results indicated the feasibility of FT-NIR spectral analysis for predicting apple valid acidity in a nondestructive way. |
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| Keywords: | Apples Nondestructive prediction FT-NIR Valid acidity Multivariate analysis |
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