ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

豆粕品質(zhì)近紅外定量分析實(shí)驗(yàn)室模型在線應(yīng)用
CSTR:
作者:
作者單位:

作者簡(jiǎn)介:

通訊作者:

中圖分類號(hào):

基金項(xiàng)目:

國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目（2017YFE0115400、2016YFE0204600）和現(xiàn)代農(nóng)業(yè)（奶牛）產(chǎn)業(yè)技術(shù)體系建設(shè)專項(xiàng)資金項(xiàng)目（CARS-36）


Online Application of Soybean Meal NIRS Quantitative Analysis Model from Laboratory to Factory
Author:
Affiliation:

Fund Project:

  • 摘要
    • |
  • 圖/表
    • |
  • 訪問統(tǒng)計(jì)
    • |
  • 參考文獻(xiàn)
    • |
  • 相似文獻(xiàn)
    • |
  • 引證文獻(xiàn)
    • |
  • 資源附件
    • |
  • 文章評(píng)論
    摘要:

    為探究豆粕近紅外定量分析模型從實(shí)驗(yàn)室到工廠在線應(yīng)用轉(zhuǎn)移的可行性,，以全國(guó)采集的117個(gè)豆粕樣品為研究對(duì)象,，利用偏最小二乘法在實(shí)驗(yàn)室建立了豆粕含水率、粗蛋白質(zhì)量分?jǐn)?shù)的近紅外定量分析模型,，繼而將此模型轉(zhuǎn)移到飼料生產(chǎn)企業(yè)進(jìn)行在線應(yīng)用,。研究結(jié)果顯示：建立的實(shí)驗(yàn)室近紅外模型可實(shí)現(xiàn)豆粕含水率、粗蛋白質(zhì)量分?jǐn)?shù)的快速預(yù)測(cè),，其中,，含水率和粗蛋白質(zhì)量分?jǐn)?shù)的驗(yàn)證集決定系數(shù)R2P分別為0.83和0.86，相對(duì)分析誤差分別為2.40和2.55,，模型效果良好,；采用模型校正、樣品擴(kuò)充兩種不同方法,，將實(shí)驗(yàn)室模型轉(zhuǎn)移到飼料生產(chǎn)企業(yè)進(jìn)行在線應(yīng)用,，含水率和粗蛋白質(zhì)量分?jǐn)?shù)的預(yù)測(cè)值與實(shí)際測(cè)量值之間具有很好的吻合性，可以達(dá)到在線分析的要求,。

    Abstract:

    Aiming to explore the feasibility of the online nearinfrared quantitative analysis model of soybean meal from laboratory to factory transfer and application. Totally 117 soybean meal samples were collected nationwide and used, the nearinfrared quantitative analysis models of moisture and crude protein were established in the laboratory by partial least squares method, two kinds of nearinfrared online equipment installation methods were used in feed production enterprises. The laboratory models of nearinfrared quantitative analysis of soybean meal quality were transferred to feed production enterprises for online application by two different methods. The results showed that laboratory model can rapidly predict the content of moisture and crude protein in soybean meal (RSD was below 10%), R2P of moisture and crude protein were 0.83 and 0.86, RPD value of moisture and crude protein were 2.40 and 2.55, which meant that the model effect was fine; laboratory models were transferred to feed production enterprises for online analysis by different methods such as model correction and sample expansion, the deviation between the predicted value and the measured value was small and stable. The requirement for online detection can be achieved.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

楊增玲,楊欽楷,沈廣輝,梅佳琪,黃圓萍,韓魯佳.豆粕品質(zhì)近紅外定量分析實(shí)驗(yàn)室模型在線應(yīng)用[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(8):358-363,371. YANG Zengling, YANG Qinkai, SHEN Guanghui, MEI Jiaqi, HUANG Yuanping, HAN Lujia. Online Application of Soybean Meal NIRS Quantitative Analysis Model from Laboratory to Factory[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(8):358-363,371.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2019-01-28
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2019-08-10
  • 出版日期: 2019-08-10
文章二維碼