{"title":"Assessment of spectral variability encountered during FTIR analysis of fresh urine","authors":"Elie Sarkees , Vincent Vuiblet , Olivier Piot","doi":"10.1016/j.talanta.2025.128650","DOIUrl":null,"url":null,"abstract":"<div><div>Vibrational techniques, particularly infrared absorption spectroscopy, are promising tools for routine diagnosis due to their high chemical specificity, enabling the detection of disease-associated molecular changes. Urine is a valuable biofluid for identifying diagnostic biomarkers, as its molecular composition reflects the body's pathophysiological state, particularly that of the urinary system. However, the high variability of urine complicates the identification of spectroscopic markers. This variability arises not only from biological variations but also from experimental parameters within the analytical workflow. The objective of this study was to assess the impact of specific experimental parameters on the infrared signal, particularly two key time intervals: T1, from urine emission to the onset of sample drying, and T2, from the end of drying to spectral acquisition. After assigning infrared bands to urine's major urine components (urea, creatinine and uric acid), we analysed the spectral variability associated with these experimental parameters using principal component analysis on samples from healthy volunteers. Our results showed that infrared spectral profiles were strongly influenced by urine pH. Spectral changes were greater during T1, when urine remains in liquid form, while T2 had a comparatively smaller impact. Our study led to some recommendations for urine spectral analysis to minimise variability.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 ","pages":"Article 128650"},"PeriodicalIF":6.1000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0039914025011415","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Vibrational techniques, particularly infrared absorption spectroscopy, are promising tools for routine diagnosis due to their high chemical specificity, enabling the detection of disease-associated molecular changes. Urine is a valuable biofluid for identifying diagnostic biomarkers, as its molecular composition reflects the body's pathophysiological state, particularly that of the urinary system. However, the high variability of urine complicates the identification of spectroscopic markers. This variability arises not only from biological variations but also from experimental parameters within the analytical workflow. The objective of this study was to assess the impact of specific experimental parameters on the infrared signal, particularly two key time intervals: T1, from urine emission to the onset of sample drying, and T2, from the end of drying to spectral acquisition. After assigning infrared bands to urine's major urine components (urea, creatinine and uric acid), we analysed the spectral variability associated with these experimental parameters using principal component analysis on samples from healthy volunteers. Our results showed that infrared spectral profiles were strongly influenced by urine pH. Spectral changes were greater during T1, when urine remains in liquid form, while T2 had a comparatively smaller impact. Our study led to some recommendations for urine spectral analysis to minimise variability.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.