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Interferon-alpha (IFN-alpha) subtypes were separated by HPLC from the IFN mixtures produced by virus-stimulated human lymphoblastoid cells and leukocytes. Together with preparations of lymphoblastoid IFN and recombinant IFN-beta, these were tested in three human tumor cell lines derived from liver, lung, and neuroblasts. Their relative antiviral activities differed markedly: subtype IFN-alpha 8 was the most potent and IFN-alpha 1 the least. The results were broadly similar in all three cells, with some minor differences. when the same preparations were tested for inhibition of thymidine incorporation, the relative activities were quite different: subtypes IFN-alpha 10, IFN-alpha 17, IFN-alpha 21, and IFN-alpha 5 were now the most active, and IFN-alpha 2 was the least active. IFN-alpha 1 and IFN-alpha 8 had comparable intermediate activity. Thus, the differences in activity were not caused by degradation of some subtypes during their separation. IFN-alpha 8 not only had the greatest antiviral activity but also, like IFN-beta, induced an antiviral state in U1 mutant cell lines, which lack the tyrosine kinase, Tyk2, required for signal transduction by other IFN-alpha subtypes.

Activated carbon (AC) is an adsorbent material with broad industrial applications. Understanding and predicting the yield and quality of AC produced from different feedstock is critical for biomass screening and process design. In this study, multi‐layer feedforward artificial neural network (ANN) models were developed to predict the total yield and surface area of AC produced from various biomass feedstock using pyrolysis and steam activation. In total, 168 data samples identified from experiments in literature were used to train, validate, and test the ANN models. The trained ANN models showed high accuracy (R2 > 0.9) and demonstrated good alignment with the independent experimental data. The impacts of using datasets based on different biomass characterization methods (i.e., ultimate analysis and proximate analysis) were evaluated and compared. Finally, a contribution analysis was conducted to understand the impact of different process factors on AC yield and surface area. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd

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