همایش ، رویداد ، ژورنال
اینستاگرام تی پی بین
حوزه های تحت پوشش رویداد
  • development of near infrared spectroscopy models for the quantitative prediction of the lignocellulosic components of wet miscanthus samples

    نویسندگان :
    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1390/01/01
    • تاریخ انتشار در تی پی بین: 1390/01/01
    • تعداد بازدید: 587
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     miscanthus samples were scanned over the visible and near infrared wavelengths at several stages of processing (wet-chopped, air-dried, dried and ground, and dried and sieved). models were developed to predict lignocellulosic and elemental constituents based on these spectra. the dry and sieved scans gave the most accurate models; however the wet-chopped models for glucose, xylose, and klason lignin provided excellent accuracies with root mean square error of predictions of 1.27%, 0.54%, and 0.93%, respectively. these models can be suitable for most applications. the wet models for arabinose, klason lignin, acid soluble lignin, ash, extractives, rhamnose, acid insoluble residue, and nitrogen tended to have lower r2 values (0.80+) for the validation sets and the wet models for galactose, mannose, and acid insoluble ash were less accurate, only having value for rough sample screening. this research shows the potential for online analysis at biorefineries for the major lignocellulosic constituents of interest.

سوال خود را در مورد این مقاله مطرح نمایید :

با انتخاب دکمه ثبت پرسش، موافقت خود را با قوانین انتشار محتوا در وبسایت تی پی بین اعلام می کنم