Automatic sample rotation for simultaneous determination of geographical origin and quality characteristics of apples based on near infrared spectroscopy (NIRS)

作者：Schmutzler Matthias; Huck Christian W^*

来源：Vibrational Spectroscopy, 2014, 72: 97-104.

DOI：10.1016/j.vibspec.2014.02.010

• NIRS
• Surface scanning
• Apple
• Origin
• Alpine
• Polyphenol

Near-infrared diffuse reflectance spectroscopy (NlRS) in hyphenation with multivariate data analysis was applied to quantify soluble solids content (SSC), total acid and polyphenol content of Golden Delicious (GD) and Pink Lady (PL) apples. A novel automated surface scanning technique was compared to a common used measurement technique (four pointed NlR measurements on each sample). A specialized prototype was constructed to rotate samples while recording spectra (surface scanning) representing compositions of 200 independent scans on differing spots alongside the peel of the intact fruit. Each spot was analyzed in the wavelength region from 1000 to 2500 nm in diffuse reflectance mode. Automated non-destructive surface scanning led to a lowering of the prediction errors for the determination of SSC for PL apples with partial least squares (PLS) regression by 2.2%, for GD samples by 26%. Prediction accuracy of total acid of the fruits was raised by 3.5% for GD apples. Prediction accuracy of polyphenol content could be increased by 8.3% and 15% for PL and GD apples, respectively. Successful multivariate clustering was realized, performing principal component analyses (PCA), to identify 160 GD apples from the alpine area (South Tyrol, Italy) towards 235 GD samples cultivated in 20 countries (Belgium, Canada, Chile, China, Czech Republic, England, France, Germany, India, Italy, Japan, Moldowa, Morocco, Poland, Russia, Serbia, Slovenia, South Africa, Spain, Switzerland) using the spectroscopic data set derived from surface scanning.

• 出版日期2014-5