The potential of near-infrared (NIR) transmittance spectroscopy to nondestructively detect soluble solids content (SSC) and pH in tomato juices was investigated. A total of 200 tomato juice samples were used for NIR spectroscopy analysis at 800-2400 nm using an FT-NIR spectrometer. Multiplicative signal correction (MSC), and the first and second derivative were applied for pre-processing spectral data. The relationship between SSC, pH, and FT-NIR spectra of tomato juice were analyzed via partial least-squares (PLS) regression. PLS regression models were able to predict SSC and pH in tomato juices. The r c, RMSEC, RMSEP, and RMSECV for SSC were 0.92, 0.0703 °Brix, 0.150 °Brix, and 0.138°Brix, respectively, whereas those values for pH were 0.90, 0.0333, 0.0316, and 0.0489, respectively. It is concluded that the combination of NIR transmittance spectroscopy and PLS methods can be used to provide a technique of convenient, versatile, and rapid analysis for SSC and pH in tomato juices.
|Original language||English (US)|
|Number of pages||5|
|Journal||Sensing and Instrumentation for Food Quality and Safety|
|State||Published - Jun 2008|
Bibliographical noteFunding Information:
Acknowledgments The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China (No. 60778024) and National Key Technology R&D Program (No. 2006BAD11A12).
- Near-infrared (NIR) transmittance spectroscopy
- Partialleast-squares (PLS)
- Soluble solids content
- Tomato juice