TY - GEN
T1 - Near-infrared transmittance spectroscopy for nondestructive determination of soluble solids content and pH in tomato juice
AU - Xie, Lijuan
AU - Ying, Yibin
AU - Lin, Hongjian
AU - Zhou, Ying
AU - Niu, Xiaoying
AU - Jiang, Xuesong
PY - 2007
Y1 - 2007
N2 - The potential of near-infrared (NIR) transmittance spectroscopy to nondestructively detect soluble solids contents (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 FT-NIR spectrometer. Multiplicative signal correcton (MSC), the first and second derivative were applied for preprocessing spectral data. The relationship between SSC, pH and FT-NIR spectra of tomato juice was analyzed via partial least-squares (PLS) regression, respectively. PLS regression models for SSC and pH in tomato juices show the high accuracy. The correlation coefficient (r), root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEP), root mean square error of cross-validation (RMSECV) for SSC were 0.91582, 0.0703, 0.150 and 0.138, respectively, whereas those values for pH were 0.8997, 0.0333, 0.0316 and 0.0489, respectively. It is concluded that the NIR transmittance spectroscopy is promising for the fast and nondestructive detection of chemical components in tomato juices.
AB - The potential of near-infrared (NIR) transmittance spectroscopy to nondestructively detect soluble solids contents (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 FT-NIR spectrometer. Multiplicative signal correcton (MSC), the first and second derivative were applied for preprocessing spectral data. The relationship between SSC, pH and FT-NIR spectra of tomato juice was analyzed via partial least-squares (PLS) regression, respectively. PLS regression models for SSC and pH in tomato juices show the high accuracy. The correlation coefficient (r), root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEP), root mean square error of cross-validation (RMSECV) for SSC were 0.91582, 0.0703, 0.150 and 0.138, respectively, whereas those values for pH were 0.8997, 0.0333, 0.0316 and 0.0489, respectively. It is concluded that the NIR transmittance spectroscopy is promising for the fast and nondestructive detection of chemical components in tomato juices.
KW - Near-infrared (NIR) transmittance spectroscopy
KW - PH
KW - Partial least squares (PLS)
KW - Soluble solids content
KW - Tomato juice
UR - https://www.scopus.com/pages/publications/42449109593
UR - https://www.scopus.com/pages/publications/42449109593#tab=citedBy
U2 - 10.1117/12.730985
DO - 10.1117/12.730985
M3 - Conference contribution
AN - SCOPUS:42449109593
SN - 9780819469212
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics for Natural Resources, Agriculture, and Foods II
T2 - Optics for Natural Resources, Agriculture, and Foods II
Y2 - 10 September 2007 through 11 September 2007
ER -