Evaluation of Carbohydrate Concentrations in Phalaenopsis Using Near-infrared Spectroscopy

in Journal of the American Society for Horticultural Science

Carbohydrate concentrations are important indicators of the internal quality of Phalaenopsis. In this study, near-infrared (NIR) spectroscopy was used for quantitative analyses of fructose, glucose, sucrose, and starch in Phalaenopsis plants. Both modified partial least-squares regression (MPLSR) and stepwise multiple linear regression (SMLR) methods were used for spectral analysis of 302 Phalaenopsis samples in the full visible NIR wavelength range (400–2498 nm). Calibration models built by MPLSR were better than those built by SMLR. For fructose, the smoothed first derivative MPLSR model provided the best results, with a correlation coefficient of calibration (Rc) of 0.96, standard error of calibration (SEC) of 0.22% dry weight (DW), standard error of validation (SEV) of 0.28% DW, and bias of -0.01% DW. For glucose, the MPLSR model based on the smoothed first derivative spectra was the best (Rc = 0.96; SEC = 0.26% DW; SEV = 0.32% DW; and bias = 0.01% DW). The best MPLSR model of sucrose was developed using the smoothed first derivative spectra (Rc = 0.96; SEC = 0.24% DW; SEV = 0.31% DW; bias = -0.03% DW). Regarding starch, the smoothed first derivative MPLSR model showed the best effects (Rc = 0.91; SEC = 0.47% DW; SEV = 0.56% DW; bias = -0.02% DW). Both the MPLSR and SMLR models showed satisfactory predictability, indicating that NIR has the potential to be adopted as an effective method of rapid and accurate inspection of the carbohydrate concentrations of Phalaenopsis plants. This technique could contribute substantially to quality management of Phalaenopsis.

Contributor Notes

The authors acknowledge financial support from the Ministry of Science and Technology, Taiwan (Grant NSC 101-2313-B-002-049). We are thankful to Prof. Yao-Chien Alex Chang of National Taiwan University for help with the experimental design and chemical analysis. We also thank Chu-Chun Tai, Tzu-Yu Ko, and Chi-Chia Liao for help with the experiments.

Corresponding author: schen@ntu.edu.tw

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Figures

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    The spectra of Phalaenopsis powder after multiplicative scatter correction: (A) leaves from the greenhouse plants, (B) shoots, and (C) roots from the dark-treated plants. Absorbance values of the spectra were measured in a unit of log (1/R), where R is the reflectance.

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    Correlation coefficient distributions between the near-infrared (NIR) spectra and the carbohydrate concentrations.

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    Relationship between the estimated and reference concentrations of (A) fructose, (B) glucose, (C) sucrose, and (D) starch in Phalaenopsis plants. Among them, the highest multiple correlation coefficient for the calibration set (Rc) reached 0.96, and the lowest standard error of calibration (SEC) was 0.22% dry weight (DW).

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