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  4. Integrating Vis-SWNIR spectrometer in a conveyor system for in-line measurement of dry matter content and soluble solids content of durian pulp
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Integrating Vis-SWNIR spectrometer in a conveyor system for in-line measurement of dry matter content and soluble solids content of durian pulp

Author(s)
Saechua, Wanphut
Sharma, Sneha
Nakawajana, Natrapee
Leepaitoon, Kritsanaphon
Chunsri, Rashphon
Posom, Jetsada
Roeksukrungrueang, Chanathip
Siritechavong, Techin
Phanomsophon, Thitima
Sirisomboon, Panmanas
Lapcharoensuk, Ravipat
Pornchaloempong, Pimpen
Date Issued
November 1, 2021
Type
Article
DOI
10.1016/j.postharvbio.2021.111640
Abstract
The prediction of dry matter content (DMC) and soluble solids content (SSC) in durian pulp were performed using a small laboratory scale in-line visible and short wave near infrared (Vis-SWNIR) spectroscopic system. The fiber optic diode array spectrometer with a charged coupled device (CCD) detector in a wavelength range of 450−1000 nm was used for spectral data acquisition. The spectra of the sample were acquired on the moving conveyor belt in two different orientations, including scanning in the upright position of pulps collected in 2018 and the stable position by scanning on the side of the pulps collected in 2019. Partial least squares regression (PLSR) was used to establish the relationship between the spectra and observed DMC and SSC values using the different wavelength ranges, including 450−1000, 700−1000, and 800−1000 nm for the comparison. The results showed that the durian pulp should be scanned in the upright position at the center of the pulp. Moving average smoothing preprocessing combined with the standard normal variate (SNV) for DMC and multiple scatter correction (MSC) for SSC gave the best result. The suitable wavelength range for model development to predict the DMC and SSC was 700−1000 nm and 800−1000 nm, respectively. After comparing the results, the optimum model showed the coefficient of determination of calibration (RC2), and prediction (RP2), root mean square error of prediction (RMSEP), bias, and the ratio of performance to interquartile distance (RPIQ) of 0.88, 0.83, 4.32 %, 1.25 %, and 3.52 for DMC and 0.70, 0.70, 4.0 %, 0.4 %, and 2.2 for SSC prediction.
Citation
Postharvest Biology and Technology, 181, 2021
Subjects

Durian pulp

In-line

Partial least squares...

Physicochemical prope...

Vis-SWNIR

Metrics
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