{"title":"Investigation of the solubility of naphthalene Based nitro-derivatives in different strengths of sulfuric acid and temperatures","authors":"Jay Tailor, Nitin V. Bhate","doi":"10.1016/j.cdc.2025.101195","DOIUrl":null,"url":null,"abstract":"<div><div>The solubilities of 1,5-dinitronaphthalene (1,5-DNN), 1,8-dinitronaphthalene (1,8-DNN), and 1-nitronaphthalene (NN) in different strengths of sulfuric acid ( % w/w) were determined using isothermal saturation method. Measurements were conducted at six temperatures ranging from 308.15 K to 333.15 K. The solubility was found to increase with temperature for all the compounds. The relationship between solubility and acid strength exhibited anomalous behavior with nitro derivatives exhibiting a steep rise in solubility at higher strengths of acid. The experimental solubility data was correlated using modified Apelblat, λ-h, van't Hoff and NRTL models. Good agreement was observed between the model predictions and the experimental data, with the modified Apelblat equation giving the best fit. Mixing thermodynamic properties were calculated based on the NRTL model. The results indicate that the dissolution process for all the three compounds is spontaneous, endothermic, and entropy-driven across the range of acid strengths investigated.</div></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"58 ","pages":"Article 101195"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830025000175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
The solubilities of 1,5-dinitronaphthalene (1,5-DNN), 1,8-dinitronaphthalene (1,8-DNN), and 1-nitronaphthalene (NN) in different strengths of sulfuric acid ( % w/w) were determined using isothermal saturation method. Measurements were conducted at six temperatures ranging from 308.15 K to 333.15 K. The solubility was found to increase with temperature for all the compounds. The relationship between solubility and acid strength exhibited anomalous behavior with nitro derivatives exhibiting a steep rise in solubility at higher strengths of acid. The experimental solubility data was correlated using modified Apelblat, λ-h, van't Hoff and NRTL models. Good agreement was observed between the model predictions and the experimental data, with the modified Apelblat equation giving the best fit. Mixing thermodynamic properties were calculated based on the NRTL model. The results indicate that the dissolution process for all the three compounds is spontaneous, endothermic, and entropy-driven across the range of acid strengths investigated.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.