𝔖 Bobbio Scriptorium
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Excitation-emission-lifetime analysis of multicomponent systems—II. Synthetic model data

✍ Scribed by Michael D. Russell; Martin Gouterman


Book ID
103906132
Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
756 KB
Volume
44
Category
Article
ISSN
1386-1425

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✦ Synopsis


To determine the efficacy of three-dimensional principal component factor analysis (PCFA) for extracting non-exponential decay parameters from multicomponent data, we have constructed synthetic data matrices which mimic the possible outcomes of experiments in the nanosecond time domain with copper porphyrins.

Our results demonstrate that PCFA is capable of determining non-exponential time decay in systems with two and three emitting species. The accuracy of the rate constants determined by this method is limited by the accuracy of the non-linear Marquardt algorithm that we have used for the final fits. Although extremely overlapped components have been resolved using this method, degeneracy in one of the dimensions is problematic.


📜 SIMILAR VOLUMES


Lifetime Data: Models in Reliability and
✍ Jewell, Nicholas P.; Kimber, Alan C.; Lee, Mei-Ling Ting; Whitmore, G. A. 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 490 KB

Statistical Models And Methods For Lifetime And Other Time-to-event Data Are Widely Used In Many Fields, Including Medicine, The Environmental Sciences, Actuarial Science, Engineering, Economics, Management, And The Social Sciences. For Example, Closely Related Statistical Methods Have Been Applied