Abstract
An automated semi-industrial system with in-line near-infrared reflectance (NIR) for the characterization of the chemical composition of potatoes was designed and constructed, and its performance was tested. The system consisted of the following subsystems: sample crate manipulator, weighing unit for the gross sample weight, potato washing machines with a washing water recycling system, belt for visual inspection of the potatoes, unit for measuring the underwater weight (UWW), industrial rotary saw blade rasp for pulping the potatoes equipped with a sulfite dosage system for inhibiting enzymatic browning of the pulped potatoes, and industrial NIR system for the measurement of the potato composition. The whole system was controlled and operated by a programmable logic controller and process personal computer system. The system was able to process 12 potato samples per hour. Measurements were done to establish the sample carry-over in the system. The carry-over was proven to be well below the maximum acceptable level of 2%. The UWW values established with the automatic system corresponded very well with the UWW data obtained by manual weighting. The day-to-day reproducibility of the UWW system was tested with golf balls. These balls have about the same specific gravity and size as potatoes. The day-to-day reproducibility coefficient of variation of the UWW unit was 0.4%. As a principle of proof, two tentative partial least squares calibration models, one for the starch concentration and one for the coagulating protein concentration in the potato samples, were calculated, applying leaving one out cross-validation. Both models were very promising. The by NIR-predicted starch concentrations showed to be at least as good or even better than the by UWW-obtained starch concentrations. The average difference between the by NIR-predicted and the chemically measured starch concentration was 0.0 ± 0.3% (w/w). For the coagulating protein concentration, the average difference between the by NIR-predicted and the chemically measured concentration was 0.00 ± 0.06% (w/w). In future years, potatoes of a wider range of varieties, growing locations, and growing seasons have to be added to the present tentative model, in order to get a robust NIR model.
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Abbreviations
- CVR :
-
Coefficient of variation in reproducibility
- FT-NIR:
-
Fourier transform near-infrared reflectance
- MSC:
-
Multiple scatter correction
- NIR:
-
Near-infrared reflectance
- PC:
-
Principle component
- PLC:
-
Programmable logic controller
- PLS:
-
Partial least squares regression
- PLS2:
-
A partial least square regression procedure
- r 2 :
-
Squared correlation coefficient
- rpm:
-
Rotations per minute
- STDRANGE:
-
Standard deviation in the sample set
- STDREF:
-
Standard deviation of the reference analysis
- STDRATIO:
-
Ratio between the standard deviation in the sample set and the standard deviation in the reference analysis (STDRANGE/STDREF)
- UWW:
-
Underwater weight
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Acknowledgement
This project is co-financed by the Northern Netherlands Provinces, SNN EZ/KOMPAS, and the Ministry of LNV. The authors also acknowledge Steve Revett from Eurofins Laboratory Ltd, Wolverhampton, England, for his valuable corrections in English language of the manuscript.
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Brunt, K., Smits, B. & Holthuis, H. Design, Construction, and Testing of an Automated NIR In-line Analysis System for Potatoes. Part II. Development and Testing of the Automated Semi-industrial System with In-line NIR for the Characterization of Potatoes. Potato Res. 53, 41–60 (2010). https://doi.org/10.1007/s11540-010-9148-z
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DOI: https://doi.org/10.1007/s11540-010-9148-z