Laser reflectance measurement for the online monitoring of Chlorella sorokiniana biomass concentration

详细信息    查看全文

• 作者：Patricio Ló ; pez Expó ; sito ; ^{plopezex@ucm.es} ; Angeles Blanco Suá ; rez ; Carlos Negro Á ; lvarez
• 关键词：BC ; biomass concentration ; COD ; chemical oxygen demand ; CLD ; chord length distribution ; MSE ; mean squared error ; NTU ; nephelometric turbidity unit ; OD ; optical density ; ppm ; parts per million ; PBR ; photobiorreactor ; RF ; random forest ; rpm ; revolutions per minute ; RCF ; relative centrifugal force ; SVR ; support vector regression ; TAP ; tris acetate-phosphate medium
• 刊名：Journal of Biotechnology
• 出版年：2017
• 出版时间：10 February 2017
• 年：2017
• 卷：243
• 期：Complete
• 页码：10-15
• 全文大小：985 K
• 卷排序：243

文摘

A method for the rapid online estimation of Chlorella sorokiniana biomass concentration is proposed. The method is based on the processing of laser reflectance data through machine learning techniques. The method requires low calibration effort and can be readily applied in industrial facilities. It is applicable to other strains and to turbid suspensions of biomass with tendency to aggregate.