Literature DB >> 19235270

Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy.

Xia-ping Fu1, Jian-ping Li, Ying Zhou, Yi-bin Ying, Li-juan Xie, Xiao-ying Niu, Zhan-ke Yan, Hai-yan Yu.   

Abstract

The near infrared (NIR) spectroscopy technique has been applied in many fields because of its advantages of simple preparation, fast response, and non-destructiveness. We investigated the potential of NIR spectroscopy in diffuse reflectance mode for determining the soluble solid content (SSC) and acidity (pH) of intact loquats. Two cultivars of loquats (Dahongpao and Jiajiaozhong) harvested from two orchards (Tangxi and Chun'an, Zhejiang, China) were used for the measurement of NIR spectra between 800 and 2500 nm. A total of 400 loquats (100 samples of each cultivar from each orchard) were used in this study. Relationships between NIR spectra and SSC and acidity of loquats were evaluated using partial least square (PLS) method. Spectra preprocessing options included the first and second derivatives, multiple scatter correction (MSC), and the standard normal variate (SNV). Three separate spectral windows identified as full NIR (800approximately2500 nm), short NIR (800approximately1100 nm), and long NIR (1100approximately2500 nm) were studied in factorial combination with the preprocessing options. The models gave relatively good predictions of the SSC of loquats, with root mean square error of prediction (RMSEP) values of 1.21, 1.00, 0.965, and 1.16 degrees Brix for Tangxi-Dahongpao, Tangxi-Jiajiaozhong, Chun'an-Dahongpao, and Chun'an-Jiajiaozhong, respectively. The acidity prediction was not satisfactory, with the RMSEP of 0.382, 0.194, 0.388, and 0.361 for the above four loquats, respectively. The results indicate that NIR diffuse reflectance spectroscopy can be used to predict the SSC and acidity of loquat fruit.

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Year:  2009        PMID: 19235270      PMCID: PMC2644752          DOI: 10.1631/jzus.B0820097

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  2 in total

1.  [Visible transmittance techniques for rapid analysis of sugar content of fresh navel orange juices].

Authors:  Yan-de Liu; Ji Luo; Ai-guo Ouyang
Journal:  Guang Pu Xue Yu Guang Pu Fen Xi       Date:  2007-03       Impact factor: 0.589

2.  Application of NIR spectroscopy for firmness evaluation of peaches.

Authors:  Xia-Ping Fu; Yi-Bin Ying; Ying Zhou; Li-Juan Xie; Hui-Rong Xu
Journal:  J Zhejiang Univ Sci B       Date:  2008-07       Impact factor: 3.066

  2 in total
  1 in total

1.  Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison.

Authors:  Kim-seng Chia; Herlina Abdul Rahim; Ruzairi Abdul Rahim
Journal:  J Zhejiang Univ Sci B       Date:  2012-02       Impact factor: 3.066

  1 in total

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