Prediction of Some Quality Properties of Grape Fruit (cv. Bidaneh Ghermez) Using Non- Destructive Near Infrared Spectroscopy

Document Type : Research Paper

Authors

1 Ph. D. Student, Department of Horticultural Science, Tehran University

2 Assistant Professor, Department of Horticultural Science, Tehran University

3 Professor, Department of Horticultural Science, Tehran University

4 Assistant Professor, Agricultural Engineering Research Institute

5 Professor, Laser and Plasma Research Institute, Shahid Beheshti University

6 Ph. D. Student, Laser and Plasma Research Institute, Shahid Beheshti University

Abstract

Various destructive and non-destructive methods are used to measure the maturity and internal quality parameters of fruits. Destructive methods often consume time and are costly. In this study, the ability of near infrared spectroscopy for prediction of the quality properties such as soluble solids content, titratable acid, pH, total phenol and extract anthocyanin of 'Bidaneh Ghermez' grape was evaluated. For this purpose, after the spectroscopy of ten berries samples in the range of 900-1700 nm, reference and chemical experiments were performed and calibration models were developed using pre-processed spectra and reference measurements. Preprocessing of data was done as combination of many preprocessing. The results of validation of the best models indicated that soluble solids content can be predicted with high accuracy (Rcv= 0.949, SDR=2.838) and pH can be predicted with acceptable accuracy (Rcv= 0.906, SDR=1.993) by near infrared. Titratable acid and total phenol were predicted with fair accuracy by rcv equal to 0.772 and 0.822 and SDR equal to 1.60 and 1.718 respectively. Also, extract anthocyanin of 'Bidaneh Ghermez' grape was not predictable by using near infrared spectroscopy in this experiment.

Keywords

References

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Iranian Journal of Biosystems Engineering
Volume 46, Issue 4 - Serial Number 4
January 2016
Pages 371-378

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History

  • Receive Date: 04 April 2015
  • Revise Date: 03 May 2016
  • Accept Date: 21 April 2015

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