PAPER making! g! FROM THE PUBLISHERS OF PAPER TECHNOLOGY INTERNATIONAL ® Volume 9, Number 1, 2023
native starch is more readily bio-hydrolyzed and biodegradation-susceptive by microorganisms in simulated white water system of OCC pulping process, while the enzymatically hydrolyzed starch exhibits better biodegradation/hydrolysis resistance to the microbial degradation than that of native starch. This study provides a practical and interesting approach to investigate the starch hydrolysis or biodegradation behaviors in white water system of OCC pulping process, which would greatly contribute to the full recycling and valorized application of starch as a versatile additive during paperboard production. “ Paper quality enhancement and model prediction using machine learning techniques ”, T. Kalavathi Devi et al, Results in Engineering , Vol.17, 2023. A machine learning approach demonstrated in the proposed study predicts the parameters involved in paper quality enhancement in real time. To control the steam pressure during paper manufacture, machine learning algorithms have been used to model different parameters such as moisture, caliper, and weight (grammage). The training and testing data sets were obtained to develop several machine learning models through several data from the parameters of the paper-making process. The inputs considered were moisture, weight, and grammage. As a result, the developed model showed better results by showing less execution time, fewer error values such as root mean squared error, mean squared error, mean absolute error, and R squared score. In addition, modeling was carried out based on model interpretation and cross-validation results, showing that the developed model could be a more useful tool in predicting the performance of the steam pressure and input parameters in the paper-making process. A comparison of results shows that the k- Nearest Neighbor algorithm outperforms the other machine learning techniques. Machine learning is also used to predict the efficiency of steam pressure reduction. PULPING Environmentally Benign Pulping , Pratima Bajpai, Springer, 2023. This book provides the most up-to-date and comprehensive information on the state-of-the-art techniques and aspects involved in environment-friendly pulping technologies. Traditional chemical and semi-chemical pulping processes are not environmentally friendly. Therefore, it has become important to look for alternative approaches to mitigate wastewater emissions in the paper industry, by making more stringent regulations to improve environmental conservation. In response to this problem, new raw materials need to be explored to replace traditional choices and also new pulping processes need to be developed based on less polluting, more easily recovered reagents. This book presents new and emerging deep eutectic solvents for lignocellulosic biomass pretreatment, and discusses the effects of deep eutectic solvents on biomass pretreatment and the production of value-added products. It also introduces biotechnological methods of pulping. Biotechnological processes help to make manufacturing processes cleaner and more efficient by reducing toxic chemical pollution and greenhouse gas emissions. Given its scope, this book is of interest to applied chemists, foresters, chemical engineers, wood scientists, along with engineers and researchers involved in the pulp and paper industry as a valuable reference. “ The Influence of Potassium Hydroxide Concentration and Temperature on Pulp Characteristics and Cow Dung-Based Paper Performance ”, Xiangjun Yang et al, Journal of Natural Fibers , Vol.20(1), 2023. This paper deals with the study of the chemical composition of cow dung and the paper-making from cow dung. With the insight into such data, we considered the effect of cooking temperatures and the potassium hydroxide concentration on paper performance. The relationship between cow dung fiber, such as
Technical Abstracts
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