Rank Annihilation Factor Analysis for Spectrophotometric Study of Morphine Based on AuNPs Aggregation Using Multivariate Curve Resolution

摘要

The use of rank annihilation factor analysis (RAFA) for spectrophotometric studies in one-step aggregation of gold nanoparticles processes were studied successfully by proposed methods. When the aggregation process constant acts as an optimizing object, and simply combined with the pure spectrum of gold nanoparticles, the rank of original data matrix can be reduced by one by annihilating the information of the gold nanoparticles from the original data matrix. The residual standard deviation (R.S.D.) of the residual matrix after bilinearization of the background matrix is regarded as the evaluation function. For aggregation process, the effects of noise level and equilibrium constants K on output of algorithm are investigated. Also multivariate curve resolution used for derived spectra, loading and score. For prediction of aggregation rate constant solver program was used. The formation of AuNPs with different sizes was monitored by transmission electron microscopy(TEM) and all the calculation was used in optimum condition for gold nanoparticles.