title: [The effects of noise on NIR analysis and related mathematic pretreatments and models].
abstract: The feasibility of using a relatively high noise NIR spectrometer for analysis was examined by using maize powder samples. The results showed that with four-time averaged NIR spectrum data without more pretreatments, PLS mathematic models and CAU-NIR software, the relative high noise scan NIR spectrometer could be used to get satisfied prediction results compared with other low noise NIR spectrometers. The prediction coefficient could reach 98% and the CV (variation coefficient) was 6.2%. It was proved that when the S/N of NIR spectrometer was lower than 10(5), it still could be used for quantity analysis with the help of some mathematic pretreatments and models.
authors.affiliation: College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China.
authors.forename: Huan-Huan
authors.initials: HH
authors.lastname: Zhao
authors.forename: Yan-Lu
authors.initials: YL
authors.lastname: Yan
mesh_terms: D008962:Models, Theoretical; D010940:Plant Proteins / Q000032:analysis*; D011786:Quality Control; D019265:Spectroscopy, Near-Infrared / Q000379:methods* / Q000592:standards; D003313:Zea mays / Q000737:chemistry*
chemical_list: D010940:Plant Proteins