Estimation of functional components of Chinese cabbage leaves grown in a plant factory using diffuse reflectance spectroscopy

• Published in: Journal of the science of food and agriculture Vol. 99; no. 2; pp. 711 - 718
• Main Authors: Ngo, Viet‐Duc, Jang, Bo‐Eun, Park, Sang‐Un, Kim, Sun‐Ju, Kim, Yong‐Joo, Chung, Sun‐Ok
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 30-01-2019; John Wiley and Sons, Limited
• Subjects: Agricultural production; Amino acids; Brassica - chemistry; Brassica oleracea; Carotenoids; Carotenoids - chemistry; Chinese cabbage; Crop production; Crops; Diffuse reflectance spectroscopy; Factories; functional components; Glucosinolates; Glucosinolates - chemistry; Industrial plants; Leaves; optical reflectance; Organic chemistry; Plant Extracts - chemistry; plant factory; Plant Leaves - chemistry; Plant protection; Plants; Reflectance; Regression analysis; sensor; Spectroscopy; Spectrum analysis; Spectrum Analysis - methods; Sugar; Wavelengths; sensor; plant factory; functional components; optical reflectance; Chinese cabbage
• ISSN: 0022-5142; 1097-0010
• DOI: 10.1002/jsfa.9237

BACKGROUND
In recent years, protected crop production using plant factories to produce high‐value crops with greater functional components has become more popular in many countries. The quantification of the components, however, is mainly conducted by laboratory analyses, which are both time‐ and labor‐consuming. The present study aimed to investigate the potential of a non‐destructive diffuse reflectance spectroscopy technique for estimating functional components (i.e. glucosinolates, amino acids, sugars and carotenoids) in the leaves of Chinese cabbage grown in a plant factory.
RESULTS
From the overall analysis, better estimations were obtained using the partial least square regression procedure. The important wavelengths for each functional component were identified mainly in the ultraviolet‐visible regions. Identified wavelengths were 317, 390, 888 and 940 nm for sugars; 520 and 960 nm for amino acids; 385, 860 and 945 nm for glucosinolates; and 454, 472 and 530 nm for carotenoids.
CONCLUSION
Optical reflectance spectroscopy shows potential as a tool for the estimation of functional components in the leaves of Chinese cabbage. The results of the present study provide useful information for the design and application of sensors with respect to on‐site quantification of the functional components. © 2018 Society of Chemical Industry