{"title":"β-环糊精包合定量血清中尿酸和抗坏血酸的二级优势。","authors":"Abdollah Yari, Saba Rashnoo, Mansoureh Yari","doi":"10.1080/10255842.2025.2505650","DOIUrl":null,"url":null,"abstract":"<p><p>The complexes formed between β-cyclodextrin (β-CD) and uric acid (UA) as well as ascorbic acid (AA) were examined utilizing parallel factor analysis (PFA) as a second-order calibration method (SOCM) for their quantification in blood serum samples. The second-order data were derived from the variations in spectral absorption changes associated with the β-CD complex signals. A three-dimensional dataset was created by stacking the data along the third dimension, which was analyzed by SOCM for determination of UA and AA. Validation of the method was achieved through comparison with HPLC. The findings indicated that the PFA method exhibited remarkable predictive capabilities. Figures of merit were calculated to highlight its potential as a viable alternative for the quantification of UA and AA, even in the presence of unforeseen or untemplated interferents, without necessitating any sample pretreatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Second-order advantage to quantify uric acid and ascorbic acid in blood serum by β-cyclodextrin inclusion complexation.\",\"authors\":\"Abdollah Yari, Saba Rashnoo, Mansoureh Yari\",\"doi\":\"10.1080/10255842.2025.2505650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The complexes formed between β-cyclodextrin (β-CD) and uric acid (UA) as well as ascorbic acid (AA) were examined utilizing parallel factor analysis (PFA) as a second-order calibration method (SOCM) for their quantification in blood serum samples. The second-order data were derived from the variations in spectral absorption changes associated with the β-CD complex signals. A three-dimensional dataset was created by stacking the data along the third dimension, which was analyzed by SOCM for determination of UA and AA. Validation of the method was achieved through comparison with HPLC. The findings indicated that the PFA method exhibited remarkable predictive capabilities. Figures of merit were calculated to highlight its potential as a viable alternative for the quantification of UA and AA, even in the presence of unforeseen or untemplated interferents, without necessitating any sample pretreatment.</p>\",\"PeriodicalId\":50640,\"journal\":{\"name\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"volume\":\" \",\"pages\":\"1-11\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10255842.2025.2505650\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10255842.2025.2505650","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Second-order advantage to quantify uric acid and ascorbic acid in blood serum by β-cyclodextrin inclusion complexation.
The complexes formed between β-cyclodextrin (β-CD) and uric acid (UA) as well as ascorbic acid (AA) were examined utilizing parallel factor analysis (PFA) as a second-order calibration method (SOCM) for their quantification in blood serum samples. The second-order data were derived from the variations in spectral absorption changes associated with the β-CD complex signals. A three-dimensional dataset was created by stacking the data along the third dimension, which was analyzed by SOCM for determination of UA and AA. Validation of the method was achieved through comparison with HPLC. The findings indicated that the PFA method exhibited remarkable predictive capabilities. Figures of merit were calculated to highlight its potential as a viable alternative for the quantification of UA and AA, even in the presence of unforeseen or untemplated interferents, without necessitating any sample pretreatment.
期刊介绍：
The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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