Standard Addition Connected to Selective Zone Discovering for Quantification in the Unknown Mixtures
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 153
فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ANALCH-7-1_006
تاریخ نمایه سازی: 16 بهمن 1401
چکیده مقاله:
Univariate calibration method is a simple, cheap and easy to use procedure in analytical chemistry. A univariate analysis will be successful if a selective signal can be found for the analyte(s). In this work, two simple ways were used to find the selective signals, spectral ratio plot (SRP) and loading plot (LP). Both of them were able to discover the selective regions in the recorded data sets. For SRP, the spectral profiles of unknown mixture and standard sample of analyte were necessary. However, in LP, multivariate data of standard addition procedure was necessary to discover the selective zones. After discovering the selective wavelengths, the standard addition method can be used to determine the concentration of given analyte. The standard addition curve was interpolated to reduce any bias error. To demonstrate the ability of LP and SRP, several synthetic and real datasets were analyzed and the results were reported. The SRP and LP were used to determine some additives in food and hygienic real samples using spectrophotometric data.
کلیدواژه ها:
نویسندگان
Mahdieh Ghaffari
Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
Farnaz Farahmand
Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
Sanaz Sajedi-Amin
Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
Abdolhossein Naseri
Department of Analytical Chemistrty, University of Tabriz, Tabriz, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :