Evaluation of phalaenopsis flowering quality using near infrared spectroscopy

Suming Chen, Yung Kun Chuang, Chao Yin Tsai, A. Chang Yao-Chien, Yang I-Chang Yang, Chang Yung-Huei Chang, Tai Chu-Chun Tai, Hou Jiunn-Yan Hou

研究成果: 書貢獻/報告類型會議貢獻

摘要

Carbohydrate contents have been demonstrated as indicators for flowering quality of Phalaenopsis plants. In this study, near infrared reflectance (NIR) spectroscopy was employed for quantitative analysis of carbohydrate contents like fructose, glucose, sucrose, and starch in Phalaenopsis. The modified partial least squares regression (MPLSR) method was adopted for spectra analyses of 176 grown plant samples (88 shoots and 88 roots), over the full wavelength range (FWR, 400 to 2498 nm). For fructose concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.961, SEC = 0.210% DW, SEV = 0.324% DW) in the wavelength ranges of 1400-1600, 1800-2000, and 2200-2300 nm. For glucose concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.975, SEC = 0.196% DW, SEV = 0.264% DW) in the wavelength range of 1400-1600, 1800-2000, and 2100-2400 nm. For sucrose concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.961, SEC = 0.237% DW, SEV = 0.322% DW) in the wavelength range of 1300-1400, 1500-1800, 2000-2100, and 2200-2300 nm. For starch concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.873, SEC = 0.697% DW, SEV = 0.774% DW) in the wavelength ranges of 500-700, 1200-1300, 1700-1800, and 2200-2300 nm. This study successfully developed the calibration models for inspecting concentrations of carbohydrates to predict the flowering quality in different cultivation environments of Phalaenopsis. The specific wavelengths can be used to predict the quality of Phalaenopsis flowers and thus to adjust cultivation managements.
原文英語
主出版物標題Sensing Technologies for Biomaterial, Food, and Agriculture 2013
8881
DOIs
出版狀態已發佈 - 2013
對外發佈Yes
事件Sensing Technologies for Biomaterial, Food, and Agriculture 2013 - Yokohama, 日本
持續時間: 四月 23 2013四月 25 2013

會議

會議Sensing Technologies for Biomaterial, Food, and Agriculture 2013
國家日本
城市Yokohama
期間4/23/134/25/13

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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    Chen, S., Chuang, Y. K., Tsai, C. Y., Yao-Chien, A. C., I-Chang Yang, Y., Yung-Huei Chang, C., Chu-Chun Tai, T., & Jiunn-Yan Hou, H. (2013). Evaluation of phalaenopsis flowering quality using near infrared spectroscopy. 於 Sensing Technologies for Biomaterial, Food, and Agriculture 2013 (卷 8881). [88810F] https://doi.org/10.1117/12.2030710