title: Qualitative properties of roasting defect beans and development of its classification methods by hyperspectral imaging technology.
abstract: Qualitative properties of roasting defect coffee beans and their classification methods were studied using hyperspectral imaging (HSI). The roasting defect beans were divided into 5 groups: medium roasting (Cont), under developed (RD-1), over roasting (RD-2), interior under developed (RD-3), and interior scorching (RD-4). The following qualitative properties were assayed: browning index (BI), moisture content (MC), chlorogenic acid (CA), trigonelline (TG), and caffeine (CF) content. Their HSI spectra (1000-1700nm) were also analysed to develop the classification methods of roasting defect beans. RD-2 showed the highest BI and the lowest MC, CA, and TG content. The accuracy of classification model of partial least-squares discriminant was 86.2%. The most powerful wavelength to classify the defective beans was approximately 1420nm (related to OH bond). The HSI reflectance values at 1420nm showed similar tendency with MC, enabling the use of this technology to classify the roasting defect beans.
authors.affiliation: Department of Food Science and Technology, Kyungpook National University, 80 Daehak-ro, Daegu 702-701, South Korea.
authors.forename: Jeong-Seok
authors.initials: JS
authors.lastname: Cho
authors.affiliation: Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, South Korea.
authors.forename: Hyung-Jin
authors.initials: HJ
authors.lastname: Bae
authors.affiliation: Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 305-764, South Korea.
authors.forename: Byoung-Kwan
authors.initials: BK
authors.lastname: Cho
authors.affiliation: Department of Food Science and Technology, Kyungpook National University, 80 Daehak-ro, Daegu 702-701, South Korea. Electronic address: kdmoon@knu.ac.kr.
authors.forename: Kwang-Deog
authors.initials: KD
authors.lastname: Moon
mesh_terms: D000470:Alkaloids / Q000032:analysis; D002110:Caffeine / Q000032:analysis; D002726:Chlorogenic Acid / Q000032:analysis; D040503:Coffea / Q000737:chemistry* / Q000145:classification*; D003296:Cooking / Q000295:instrumentation / Q000379:methods*; D016002:Discriminant Analysis; D006358:Hot Temperature; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis
chemical_list: D000470:Alkaloids; D002726:Chlorogenic Acid; D002110:Caffeine; C009560:trigonelline
keywords: Coffee; Hyperspectral imaging; Moisture content; Qualitative properties; Roasting defects