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Quick and presumptive identification of seized drug samples without destroying evidence is necessary for law enforcement officials to control the trafficking and abuse of drugs. This work reports an automated screening method to detect the presence of cocaine in seized samples using portable Fourier transform infrared (FT-IR) spectrometers. The method is based on the identification of well-defined characteristic vibrational frequencies related to the functional group of the cocaine molecule and is fully automated through the use of an expert system. Traditionally, analysts look for key functional group bands in the infrared spectra and characterization of the molecules present is dependent on user interpretation. This implies the need for user expertise, especially in samples that likely are mixtures. As such, this approach is biased and also not suitable for non-experts. The method proposed in this work uses the well-established "center of gravity" peak picking mathematical algorithm and combines it with the conditional reporting feature in MicroLab software to provide an automated method that can be successfully employed by users with varied experience levels. The method reports the confidence level of cocaine present only when a certain number of cocaine related peaks are identified by the automated method. Unlike library search and chemometric methods that are dependent on the library database or the training set samples used to build the calibration model, the proposed method is relatively independent of adulterants and diluents present in the seized mixture. This automated method in combination with a portable FT-IR spectrometer provides law enforcement officials, criminal investigators, or forensic experts a quick field-based prescreening capability for the presence of cocaine in seized drug samples.

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The role of three membrane proteins in altering the diffusion and clustering of integrin receptors has been measured. Integrins are membrane proteins responsible for integrating intracellular and extracellular signaling events and anchoring cells to the extracellular matrix. The methodology used to elucidate the role of other membrane proteins in altering integrin diffusion and clustering combines fluorescence microscopy with RNA interference (RNAi), which is a technique to reduce the expression of a target protein. The three RNAi-targeted membrane proteins were epidermal growth factor receptor (EGFR), platelet-derived growth factor/vascular endothelial growth factor-related receptor (Pvr), and Notch. Real-time polymerase chain reaction or quantitative immunocytochemistry was used to measure a reduction in mRNA or protein concentration after RNAi treatment, respectively. Fluorescence recovery after photobleaching showed that reducing the concentration of EGFR or Notch results in less constrained integrin diffusion and, in the case of Notch RNAi, 4 % more mobile integrins. Fluorescence resonance energy transfer measurements performed before and after RNAi treatments indicate that clustering decreases for wild-type integrin, but increases for a high-ligand-affinity integrin mutant after reducing the expression of EGFR, Pvr, or Notch. A model to explain the measured changes after reducing the expression of these three membrane proteins involving cholesterol-enriched nanodomains is proposed.