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Research on Rapid Detection Method of Protein and Fat in Raw Milk Based on Mid-infrared Spectrum

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJMUE) 바로가기
  • 간행물
    International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
  • 통권
    Vol.11 No.10 (2016.10)바로가기
  • 페이지
    pp.131-142
  • 저자
    Xiaoming Li, Guicheng Huo, Yan Wang, Hongmin Sun, Qingming Kong
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A288480

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원문정보

초록

영어
In this paper raw milk was taken as the research object, using mid-infrared spectrum analysis method rapidly tests protein and fat content in raw milk through establishing quantitative analysis model. First of all, researchers collect 84 kinds of raw milk which is different areas and varieties in Heilongjiang province, and classify 84 samples into calibration sets and validation sets by standard chemical testing and spectral scanning on protein and fat, and calibration sets contain 64 samples, and validation sets contain 20 samples. Then, denoising by second derivative method which window size is 17 points, and selecting method by comparing SPA and GA characteristic wavelength respectively, and establishing PLS model and model demonstration. Eventually, researchers draw the conclusion that SPA wavelength selection method which value of m_max is 10 and GA wavelength selection method which value of Evaluat is 10d can effectively improve validation set model precision, but precision of the former is higher and characteristic wavelength is least, and its characteristic wavelength point reduces from 220 to 4, R2 of protein model validation set is 0.8010929, RMSEP is 0.0207505, R2 of fat model validation set is 0.91007989, RMSEP is 0.045329, relative standard deviation RSD<3%. These prove that the method for rapid testing of raw milk components is feasible.

목차

Abstract
 1. Introduction
 2. Materials and Methods
  2.1. Experiment Sample Preparation
  2.2. Sample Classification
  2.3. Spectral Acquisition
 3. Results and Discussion
  3.1. Spectral Denoising
  3.2. Characteristic Wavelength Selection
  3.3. Quantitative Analysis Model
 4. Conclusion
 References

키워드

raw milk protein fat mid-infrared spectrum successive projections algorithm

저자

  • Xiaoming Li [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
  • Guicheng Huo [ School of Food Science and Engineering Northeast Agricultural University, Harbin, China ]
  • Yan Wang [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
  • Hongmin Sun [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
  • Qingming Kong [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Multimedia and Ubiquitous Engineering
  • 간기
    월간
  • pISSN
    1975-0080
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.11 No.10

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