{"title":"Assessing the softening behavior of rosin during heating using variable-temperature low-field nuclear magnetic resonance","authors":"Fan Zhou, Yongdong Zhou, Xin Gao","doi":"10.1515/hf-2025-0045","DOIUrl":null,"url":null,"abstract":"Abstract This study investigates the softening behavior of rosin during heating using variable-temperature low-field nuclear magnetic resonance (LF NMR) technique, aiming to demonstrate the potential of LF NMR in characterizing softening transitions including softening point. The NMR signals from three types of industrial rosins during heating from 30 °C to 140 °C were analyzed by applying both mono- and multi-component interpretation methods to evaluate signal amplitudes and relaxation time distributions. These parameters were used to assess the effect of heating temperature on the softening properties of rosin. The temperature-dependent NMR signal amplitude exhibited characteristic S-shaped growth, from which the temperature corresponding to the inflection point, where the signal amplitude increased most rapidly, was proposed as the softening point of rosin. The softening point values were mathematically determined through Boltzmann function modeling and subsequently compared with those measured using the ring-and-ball method. The LF NMR-derived softening point values showed close agreement with ring-and-ball results with deviation of 0.1–1.7 °C, validating NMR reliability for softening point analysis.","PeriodicalId":13083,"journal":{"name":"Holzforschung","volume":"79 11","pages":"568-581"},"PeriodicalIF":1.9000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.degruyterbrill.com/document/doi/10.1515/hf-2025-0045/pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Holzforschung","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1515/hf-2025-0045","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study investigates the softening behavior of rosin during heating using variable-temperature low-field nuclear magnetic resonance (LF NMR) technique, aiming to demonstrate the potential of LF NMR in characterizing softening transitions including softening point. The NMR signals from three types of industrial rosins during heating from 30 °C to 140 °C were analyzed by applying both mono- and multi-component interpretation methods to evaluate signal amplitudes and relaxation time distributions. These parameters were used to assess the effect of heating temperature on the softening properties of rosin. The temperature-dependent NMR signal amplitude exhibited characteristic S-shaped growth, from which the temperature corresponding to the inflection point, where the signal amplitude increased most rapidly, was proposed as the softening point of rosin. The softening point values were mathematically determined through Boltzmann function modeling and subsequently compared with those measured using the ring-and-ball method. The LF NMR-derived softening point values showed close agreement with ring-and-ball results with deviation of 0.1–1.7 °C, validating NMR reliability for softening point analysis.
期刊介绍:
Holzforschung is an international scholarly journal that publishes cutting-edge research on the biology, chemistry, physics and technology of wood and wood components. High quality papers about biotechnology and tree genetics are also welcome. Rated year after year as one of the top scientific journals in the category of Pulp and Paper (ISI Journal Citation Index), Holzforschung represents innovative, high quality basic and applied research. The German title reflects the journal''s origins in a long scientific tradition, but all articles are published in English to stimulate and promote cooperation between experts all over the world. Ahead-of-print publishing ensures fastest possible knowledge transfer.