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Nondestructive Determination Method of Fruit Quantity Detection Based on Vis/NIR Spectroscopy Technique

Xingyue Hu, Yong He, A.G. Pereira, Antihus Hernández Gómez

Open publisher page 13 citations

Abstract

The objective of this study was to establish the relationship between Vis/NIR spectral and the major physiological properties of tomato-soluble solids content (SSC), acidity (pH) and fruit firmness. A total of 200 tomatoes were hand harvested and analyzed the spectra features using spectrophotometer. Principal component regression (PCR) and partial least squares (PLS) were used to develop the prediction models. The models for SSC (r= 0.90) of standard error of prediction (SEP) 0.19 Brix with three factors; pH r= 0.83) of SEP 0.09 with four factors; compression force(r= 0.81) of SEP 16.017N with six factors, and puncture force (r= 0.83) of SEP 1.18N with three factors, showed the excellent prediction performance. The Vis/NIR spectroscopy technique had significantly greater accuracy in determining SSC. It was concluded that it is possible to assess the quality characteristics of tomato.

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What this paper is about

The objective of this study was to establish the relationship between Vis/NIR spectral and the major physiological properties of tomato-soluble solids content (SSC), acidity (pH) and fruit firmness. A total of 200 tomatoes were hand harvested and analyzed the spectra features using spectrophotometer. Principal component regression (PCR) and partial least squares (PLS) were used to develop the prediction models. The models for SSC (r= 0.90) of standard error of prediction (SEP) 0.19 Brix with three factors; pH r= 0.83) of SEP 0.09 with four factors; compression force(r= 0.81) of SEP 16.017N with six factors, and puncture force (r= 0.83) of SEP 1.18N with three factors, showed the excellent prediction performance. The Vis/NIR spectroscopy technique had significantly greater accuracy in determining SSC. It was concluded that it is possible to assess the quality characteristics of tomato.

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Available abstract

The objective of this study was to establish the relationship between Vis/NIR spectral and the major physiological properties of tomato-soluble solids content (SSC), acidity (pH) and fruit firmness. A total of 200 tomatoes were hand harvested and analyzed the spectra features using spectrophotometer. Principal component regression (PCR) and partial least squares (PLS) were used to develop the prediction models. The models for SSC (r= 0.90) of standard error of prediction (SEP) 0.19 Brix with three factors; pH r= 0.83) of SEP 0.09 with four factors; compression force(r= 0.81) of SEP 16.017N with six factors, and puncture force (r= 0.83) of SEP 1.18N with three factors, showed the excellent prediction performance. The Vis/NIR spectroscopy technique had significantly greater accuracy in determining SSC. It was concluded that it is possible to assess the quality characteristics of tomato.

Key concepts: Partial least squares regression, Principal component analysis, Principal component regression, Spectroscopy, Near-infrared spectroscopy, Analytical Chemistry (journal), Chemistry, Mean squared prediction error

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