Food Engineering Progress
Korean Society for Food Engineering
Article

근적외선 분광을 이용한 딸기의 당도예측모델 개발

손재룡1,*, 이강진1, 강석원1, 양길모1, 서영욱2
Jaeryong Son1,*, Kangjin Lee1, Sukwon Kang1, Gilmo Yang1, Youngwook Seo2
1농촌진흥청 국립농업과학원 농업공학부
2서울대학교 바이오시스템·소재학부
1National Academy of Agricultural Science, RDA
2Department of Biosystems & Biomaterials Science and Engineering, Seoul National University
*Corresponding author: Jaeryong Son, Researcher, National Academy of Agricultural Science, Suwon-city, Gyeonggi-do 441-100, Republic of Korea. Tel: +82-31-290-1901; Fax: +82-31-290-1900, E-mail: son1892@korea.kr

ⓒ Copyright 2009 Korean Society for Food Engineering. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: May 04, 2009; Revised: Sep 21, 2009; Accepted: Nov 21, 2009

Published Online: Nov 30, 2009

Abatract

This study was performed to develop a prediction model of sugar content for strawberry. Near-infrared (NIR) spectroscopy has been prevailed for on-line and portable applications for non-invasive quality assessment of intact fruit. This work presents effects of illumination method and coating of reflection surface of light source on prediction result of sugar content. Effect of preprocessing methods was also examined. A low-cost commercially available VIS/ NIR spectrometer was used for estimation of total soluble solids content (Brix). To predict sugar contents of strawberry, the best results were obtained with the spectrum data measured under intensive illuminations at three locations induced from the light source with fiber optic bundles. Gold coating of reflection surface of light source lamp gave favorable effect to prediction result. The best results in validation of PLSR model were rSEP = 0.891 and SEP = 0.443 Brix under OSC preprocessing and those of PCR were rSEP = 0.845, SEP rSEP= 0.520 Brix, under no preprocessing.

Keywords: NIR; non-destructive; strawberry; sugar content