کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5132279 1491519 2017 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multivariate curve resolution approach to separate UV-vis scattering and absorption contributions for organic nanoparticles
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
A multivariate curve resolution approach to separate UV-vis scattering and absorption contributions for organic nanoparticles
چکیده انگلیسی


- Optical spectra of organic nanoparticles are strongly distorted by scattering.
- A method based on 2D-COS is proposed to estimate scattering from the raw spectra.
- MCR-ALS and 2D-COS estimates are used to separate absorption from scattering.
- This strategy is applied to study DPDI nanoparticles synthesis by laser ablation.

In this paper, the combination of Two-Dimensional COrrelation Spectroscopy (2D-COS) and Multivariate Curve Resolution - Alternating Least Squares (MCR-ALS) is proposed to disentangle absorption and scattering contributions from extinction spectra collected during the synthesis of organic nanoparticles by laser ablation. This procedure relies on the fact that these contributions exhibit distinct dynamics in the synchronous and asynchronous modes of 2D-COS as the ablation proceeds. Thus, initial estimates for absorption and scattering spectral features can be discriminated and subsequently used when applying MCR-ALS analysis. The feasibility and the potential of this approach are demonstrated on a set of extinction spectra collected at different time intervals during the synthesis of dendronized perylenediimide (DPDI) nanoparticles. The time-dependent concentration profiles and spectra obtained provide valuable insights into the relative dynamics of its absorption and scattering. These results allow discussing the formation mechanism of DPDI nanoparticles.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 160, 15 January 2017, Pages 72-76
نویسندگان
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