当前位置: X-MOL 学术Bioresource Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Water activity and biomass estimation using digital image processing in solid-state fermentation.
Bioresource Technology ( IF 9.7 ) Pub Date : 2020-03-31 , DOI: 10.1016/j.biortech.2020.123277
Vidhu Agarwal 1 , Dinesh Kumar 1 , Pritish Varadwaj 1 , Akhilesh Tiwari 1
Affiliation  

Water activity in biotechnological applications plays a vital role. Estimation and precise control of water activity will enhance the product. The objective here is to use digital image processing technique in MATLAB for the quantification of the biomass and water condensate on a horizontal surface. A model has been developed with the data produced experimentally in this study in abiotic conditions. Also, a comparative study has been given for the estimation of the water condensate produced. It was observed that at a particular threshold value the error rate is less than 30%. The result of experimental study was good, and it showed a linear relation with proposed model. Also, the similar experimental estimation was done in biotic conditions, and results are showing good agreement between experimental observation and the model developed. Further, this method could be used in solid state fermentation process for water activity estimation and low-cost biomass estimation.

中文翻译:

在固态发酵中使用数字图像处理进行水分活度和生物量估算。

生物技术应用中的水活度起着至关重要的作用。估计和精确控制水分活度会提高产品的质量。此处的目的是使用MATLAB中的数字图像处理技术对水平表面上的生物质和水冷凝物进行量化。在非生物条件下,利用本研究中实验产生的数据开发了一个模型。另外,已经进行了比较研究以估计产生的水冷凝物。观察到,在特定阈值下,错误率小于30%。实验研究结果良好,与所提出的模型呈线性关系。同样,在生物条件下进行了类似的实验估计,结果表明实验观察与开发的模型之间具有很好的一致性。进一步,
更新日期:2020-03-31
down
wechat
bug