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  • Application of slope/bias algorithm in portable detection of contents of soluble solids of kiwifruit.

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    Author(s) : Li QianQianLiu DaYangYang BiaoLi WeiQiangGuo WenChuan

    Author Affiliation : College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China.

    Author Email : liqian-1216@163.comguowenchuan69@126.com

    Journal article : Shipin Kexue / Food Science 2018 Vol.39 No.14 pp.257-262 ref.30

    Abstract : To conveniently and nondestructively detect the soluble solids content (SSC) of kiwifruitskiwifruitsSubject Category: Commodities and Products
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    , near infrared (NIR) spectra of 'Huayou', 'Xuxiang', and 'Xixuan' kiwifruits were obtained by using a portable system for SSC detectiondetectionSubject Category: Techniques, Methodologies and Equipment
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    in kiwifruit based on a mini-spectrometer. The effective wavelengthswavelengthsSubject Category: Properties
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    were selected by different methods, and the effects of the selected characteristic wavelengths and the full spectra on the predictionpredictionSubject Category: Techniques, Methodologies and Equipment
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    precision of the models established by partial least square regression (PLSR) were compared. Slope/bias (S/B) algorithm was used to correct the model for 'Huayou' kiwifruits to predict the SSCs of 'Xuxiang' and 'Xixuan' kiwifruits. The results showed that the SPA algorithm could effectively extract the effective wavelengths. The root mean square error of predictions (RMSEPs) were 0.583, 0.678 and 0.646°BrixbrixSubject Category: Properties
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    for 'Huayou', 'Xuxiang', and 'Xixuan' kiwifruits, respectively. A total of 10 'Xuxiang' and 50 'Xixuan' samples were sufficient to improve the prediction performance of the corrected model with RMSEP of 0.966 and 0.875°Brix, respectively. This study can offer useful information for developing a more accurate and portable miniature integrated detector for kiwifruit SSC.

    ISSN : 1002-6630

    URL : http://www.spkx.net.cn/EN/abstract/ab...

    Record Number : 20193099046

    Publisher : China Food Publishing Co.

    Location of publication : Beijing

    Country of publication : China

    Language of text : Chinese

    Language of summary : English

    Indexing terms for this abstract:

    Organism descriptor(s) : ActinidiaactinidiaSubject Category: Organism Names
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    , Actinidia deliciosaactinidia deliciosaSubject Category: Organism Names
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    Descriptor(s) : algorithmsalgorithmsSubject Category: Techniques, Methodologies and Equipment
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    , brixbrixSubject Category: Properties
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    , detectiondetectionSubject Category: Techniques, Methodologies and Equipment
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    , fruitsfruitsSubject Category: Anatomical and Morphological Structures
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    , kiwifruitskiwifruitsSubject Category: Commodities and Products
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    , mathematical modelsmathematical modelsSubject Category: Techniques, Methodologies and Equipment
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    , near infrared spectroscopynear infrared spectroscopySubject Category: Techniques, Methodologies and Equipment
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    , predictionpredictionSubject Category: Techniques, Methodologies and Equipment
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    , total soluble solidstotal soluble solidsSubject Category: Properties
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    , wavelengthswavelengthsSubject Category: Properties
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    Identifier(s) : soluble solids content

    Broader term(s) : ActinidiaactinidiaSubject Category: Organism Names
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    , ActinidiaceaeactinidiaceaeSubject Category: Organism Names
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    , EricalesericalesSubject Category: Organism Names
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    , eudicotseudicotsSubject Category: Organism Names
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    , angiospermsangiospermsSubject Category: Organism Names
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    , SpermatophytaspermatophytaSubject Category: Organism Names
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    , plantsplantsSubject Category: Organism Names
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    , eukaryoteseukaryotesSubject Category: Organism Names
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