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首页> 外文期刊>Journal of food engineering >Application of near-infrared spectroscopy to predict the cooking times of aged common beans (Phaseolus vulgaris L.)
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Application of near-infrared spectroscopy to predict the cooking times of aged common beans (Phaseolus vulgaris L.)

机译:近红外光谱的应用预测老年常见豆类的烹饪时间(Phoulolusulus vulgaris L.)

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摘要

The cooking time of beans is an important quality indicator which can change considerably during ageing. Therefore, this study investigated the potential of near-infrared spectroscopy to rapidly predict cooking times of aged common beans. Four bean varieties were aged under different storage conditions, resulting in a range of samples for each of these varieties. The cooking kinetics of the aged beans were determined by finger pressing and modelled using logistic regression to obtain the times it took to cook 95% of the beans. The cooking times obtained were predicted from the NIR spectra of milled raw bean samples. This was done using partial least squares regression, after carrying out wavelength selection. Model performance was improved up to an average prediction error of 8 min by de-hulling the beans and reducing the number of varieties included. In conclusion, NIR spectroscopy has high potential to predict the cooking times of aged beans.
机译:豆类的烹饪时间是一个重要的质量指标,可以在老化期间发生大幅度变化。因此,本研究研究了近红外光谱的潜力,以快速预测老年常见豆类的烹饪时间。在不同的储存条件下老化四个豆品种,导致这些品种中的每一个样品。老豆的烹饪动力学通过手指压制和建模使用逻辑回归来确定,以获得烹饪95%的豆类所花费的时间。从研磨的生豆样品的NIR光谱预测所获得的烹饪时间。这是在进行波长选择之后使用部分最小二乘回归完成的。通过脱壳豆类并减少包括的品种数量,可以提高模型性能8分钟的平均预测误差。总之,NIR光谱有很高的潜力来预测肉豆的烹饪时间。

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  • 来源
    《Journal of food engineering》 |2020年第11期|110056.1-110056.12|共12页
  • 作者单位

    Katholieke Univ Leuven Lab Food Technol Dept Microbial & Mol Syst M2S Kasteelpk Arenberg 22 Box 2457 B-3001 Leuven Belgium|Jomo Kenyatta Univ Agr & Technol Coll Agr & Nat Resources Sch Food & Nutr Sci Dept Food Sci & Technol POB 62 Nairobi 00000200 Kenya;

    Katholieke Univ Leuven Lab Food Technol Dept Microbial & Mol Syst M2S Kasteelpk Arenberg 22 Box 2457 B-3001 Leuven Belgium|Jomo Kenyatta Univ Agr & Technol Coll Agr & Nat Resources Sch Food & Nutr Sci Dept Food Sci & Technol POB 62 Nairobi 00000200 Kenya;

    Katholieke Univ Leuven Lab Food Technol Dept Microbial & Mol Syst M2S Kasteelpk Arenberg 22 Box 2457 B-3001 Leuven Belgium;

    Ton Duc Thang Univ Inst Computat Sci Div Computat Math & Engn 19 Nguyen Huu Tho St Dist 7 Ho Chi Minh City Vietnam|Ton Duc Thang Univ Fac Appl Sci 19 Nguyen Huu Tho St Dist 7 Ho Chi Minh City Vietnam;

    Jomo Kenyatta Univ Agr & Technol Coll Agr & Nat Resources Sch Food & Nutr Sci Dept Food Sci & Technol POB 62 Nairobi 00000200 Kenya;

    Katholieke Univ Leuven MeBioS Dept Biosyst BIOSYST Kasteelpk Arenberg 30 Box 2456 B-3001 Leuven Belgium;

    Jomo Kenyatta Univ Agr & Technol Coll Agr & Nat Resources Sch Food & Nutr Sci Dept Food Sci & Technol POB 62 Nairobi 00000200 Kenya;

    Katholieke Univ Leuven Lab Food Technol Dept Microbial & Mol Syst M2S Kasteelpk Arenberg 22 Box 2457 B-3001 Leuven Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Common beans; Ageing; Logistic regression; Cooking time; Near infrared spectroscopy; Partial least squares regression;

    机译:常见的豆类;老化;物流回归;烹饪时间;近红外光谱;部分最小二乘回归;

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