Coining the attributes of nano to micro dual hybrid silica-ceramic waste filler based green HNBR composites for triple percolation: Mechanical properties, thermal, and electrical conductivity

Ganguly, Debabrata; Bera, Abhijit; Hore, Roumita; Khanra, Sipra; Maji, Pradip K.; Kotnees, Dinesh Kumar; Chattopadhyay, Santanu

doi:10.1016/j.ceja.2022.100338

Cited by 6 publications

(1 citation statement)

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“…The modification of silica filler with silane coupling agents could not help much for the CPI matrix in truck–bus tire application. However, a similar method helped to achieve the respective properties of the synthetic rubber matrix in car tire application. − …”

Section: Introductionmentioning

confidence: 99%

Pretreatment of Hevea Latex by Sorbitol: Improving the Efficacy of Silica Dispersion by a Biomimetic Approach

Bera

Manna

Ganguly

et al. 2022

ACS Appl. Polym. Mater.

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Incorporating a high amount of silica in cis-1,4polyisoprene (CPI) by conventional dry mixing is a Herculean task. A biomimicking approach is adopted herein through incorporation of a bio-based sugar alcohol (sorbitol) into the CPI latex, which creates protein−carbohydrate interactions in the latex called protein−sugar conjugates. These treatments unveiled a significant improvement in key properties of the CPI vulcanizates, like >15% reduction in tan δ at a high temperature, besides better dispersion as evident from morphological studies. The protein and phospholipid ends were cleaved by respective enzymes for a clearer percipience of their individual effects on compounds' key properties. The molecular dynamics study reveals a faster convergence of root-mean-square deviation (RMSD) and maximum radius of gyration (R g ) values of the sorbitol-treated latex, confirming a stable conformation of the CPI matrix in the presence of silica. Subsequently, a greater number of hydrogen bonds between the functional groups of protein and sorbitol demonstrates successful blocking of the functional groups (protein−sugar conjugates) of CPIs' unwanted substances.

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