@article {1530,
	title = {Raman spectroscopy for tablet coating thickness quantification and coating characterization in the presence of strong fluorescent interference},
	journal = {Journal of Pharmaceutical and Biomedical Analysis},
	volume = {41},
	number = {3},
	year = {2006},
	note = {ISI Document Delivery No.: 051CCTimes Cited: 22Cited Reference Count: 27},
	month = {Jun},
	pages = {811-819},
	type = {Article},
	abstract = {We report a novel approach to the measurement of colored tablet coating thickness, which employs Raman spectroscopy with univariate and multivariate data analysis. Our results suggest that Raman sensing can serve as a viable non-invasive means to quantify tablet coating thickness in the presence of a fluorescent ingredient in the coating formulation (food colorant Alphazurine FG or D\&C Blue No. 4). This study comparatively tests the advantage of several data transformation approaches, including mean centering, standard normal variate, and Savitzky-Golay smoothed second derivative as means of improving predictive models in the presence of fluorescence. By application of the partial least squares (PLS) calibration algorithm to establish optimum covariance between transformed spectral data and measured tablet coating thicknesses, we have been able to create predictive models with calibration errors as small as 4 mu m for a training set that spans colored coating thicknesses from 50 to 151 mu m. (c) 2006 Elsevier B.V. All rights reserved.},
	keywords = {film coating, FLUORESCENCE, FORMS, INDUCED BREAKDOWN SPECTROSCOPY, near infrared spectroscopy, QUANTITATIVE-ANALYSIS, Raman spectroscopy, REFLECTANCE, SPECTRA, SPECTROMETRY},
	isbn = {0731-7085},
	url = {<Go to ISI>://000238137100019},
	author = {Romero-Torres, S. and Perez-Ramos, J. D. and Morris, K. R. and Grant, E. R.}
}
@article {1132,
	title = {Expeditious, high-yielding construction of the food aroma compounds 6-acetyl-1,2,3,4-tetrahydropyridine and 2-acetyl-1-pyrroline},
	journal = {Journal of Organic Chemistry},
	volume = {70},
	number = {26},
	year = {2005},
	note = {ISI Document Delivery No.: 995HBTimes Cited: 10Cited Reference Count: 38},
	month = {Dec},
	pages = {10872-10874},
	type = {Article},
	abstract = {The key compound responsible for the aroma of bread, 6-acetyl-1,2,3,4-tetrahydropyridine (1), has been constructed in an efficient three-step procedure from 2-piperidone in an overall yield of 56\%. Compound I was liberated in the final step under basic conditions. A related synthetic route produced 2-acetyl-1-pyrroline (2), the principal component of cooked rice, in 10\% overall yield.},
	keywords = {BICYCLIC ENAMINES, BREAD FLAVOR COMPONENT, COOKED RICE, HYDROLYSIS, MECHANISM, MODEL SYSTEMS, POPCORN, QUANTITATIVE-ANALYSIS, ROAST-SMELLING ODORANTS, TERTIARY ENAMINES},
	isbn = {0022-3263},
	url = {<Go to ISI>://000234090300034},
	author = {Harrison, T. J. and Dake, G. R.}
}
@article {1244,
	title = {Investigation of selected baseline removal techniques as candidates for automated implementation},
	journal = {Applied Spectroscopy},
	volume = {59},
	number = {5},
	year = {2005},
	note = {ISI Document Delivery No.: 924MITimes Cited: 33Cited Reference Count: 122},
	month = {May},
	pages = {545-574},
	type = {Review},
	abstract = {Observed spectra normally contain spurious features along with those of interest and it is common practice to employ one of several available algorithms to remove the unwanted components. Low frequency spurious components are often referred to as {\textquoteright}baseline{\textquoteright}, {\textquoteright}background{\textquoteright}, and/or {\textquoteright}background noise{\textquoteright}. Here we examine a cross-section of non-instrumental methods designed to remove background features from spectra; the particular methods considered here represent approaches with different theoretical underpinnings. We compare and evaluate their relative performance based on synthetic data sets designed to exemplify vibrational spectroscopic signals in realistic contexts and thereby assess their suitability for computer automation. Each method is presented in a modular format with a concise review of the underlying theory, along with a comparison and discussion of their strengths, weaknesses, and amenability to automation, in order to facilitate the selection of methods best suited to particular applications.},
	keywords = {artificial neural networks, automated baseline determination, BACKGROUND SUBTRACTION, baseline, baseline correction, DERIVATIVE SPECTROSCOPY, DIMENSIONAL NMR-SPECTRA, first derivative, Fourier transforms, GAMMA-RAY SPECTRA, GAS-CHROMATOGRAPHY, HIGH-RESOLUTION, INFRARED SPECTROMETRY, local regression, maximum entropy, noise median, peak picking, peak stripping, QUANTITATIVE-ANALYSIS, RAMAN-SPECTROSCOPY, REMOVAL, SHIFTED, spectral shifting, TIME-DOMAIN DATA, wavelet transforms},
	isbn = {0003-7028},
	url = {<Go to ISI>://000228982500001},
	author = {Schulze, G. and Jirasek, A. and Yu, M. M. L. and Lim, A. and Turner, R. F. B. and Blades, M. W.}
}
@article {1244,
	title = {Investigation of selected baseline removal techniques as candidates for automated implementation},
	journal = {Applied Spectroscopy},
	volume = {59},
	number = {5},
	year = {2005},
	note = {ISI Document Delivery No.: 924MITimes Cited: 33Cited Reference Count: 122},
	month = {May},
	pages = {545-574},
	type = {Review},
	abstract = {Observed spectra normally contain spurious features along with those of interest and it is common practice to employ one of several available algorithms to remove the unwanted components. Low frequency spurious components are often referred to as {\textquoteright}baseline{\textquoteright}, {\textquoteright}background{\textquoteright}, and/or {\textquoteright}background noise{\textquoteright}. Here we examine a cross-section of non-instrumental methods designed to remove background features from spectra; the particular methods considered here represent approaches with different theoretical underpinnings. We compare and evaluate their relative performance based on synthetic data sets designed to exemplify vibrational spectroscopic signals in realistic contexts and thereby assess their suitability for computer automation. Each method is presented in a modular format with a concise review of the underlying theory, along with a comparison and discussion of their strengths, weaknesses, and amenability to automation, in order to facilitate the selection of methods best suited to particular applications.},
	keywords = {artificial neural networks, automated baseline determination, BACKGROUND SUBTRACTION, baseline, baseline correction, DERIVATIVE SPECTROSCOPY, DIMENSIONAL NMR-SPECTRA, first derivative, Fourier transforms, GAMMA-RAY SPECTRA, GAS-CHROMATOGRAPHY, HIGH-RESOLUTION, INFRARED SPECTROMETRY, local regression, maximum entropy, noise median, peak picking, peak stripping, QUANTITATIVE-ANALYSIS, RAMAN-SPECTROSCOPY, REMOVAL, SHIFTED, spectral shifting, TIME-DOMAIN DATA, wavelet transforms},
	isbn = {0003-7028},
	url = {<Go to ISI>://000228982500001},
	author = {Schulze, G. and Jirasek, A. and Yu, M. M. L. and Lim, A. and Turner, R. F. B. and Blades, M. W.}
}
@article {626,
	title = {Optimization of cellular nucleotide extraction and sample preparation for nucleotide pool analyses using capillary electrophoresis},
	journal = {Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences},
	volume = {788},
	number = {1},
	year = {2003},
	note = {ISI Document Delivery No.: 664KCTimes Cited: 12Cited Reference Count: 28},
	month = {May},
	pages = {103-111},
	type = {Article},
	abstract = {Cell extraction and further sample preparation for nucleotide pool analysis using capillary electrophoresis was faster and simpler using volatile extraction solvents (e.g. organic solvents and de-ionized water) compared to the commonly applied acids dissolved in water (e.g. perchloric acid and trichloracetic acid). Temperature had to be controlled during the whole sample preparation process to prevent degradation, and extracts had to be cleaned from proteins and other large molecules prior to capillary electrophoretic analysis to improve reproducibility. Capillary electrophoresis using borate and cyclodextrins in the background electrolyte was used for determining 11 cellular nucleotides simultaneously. In order to optimize the assay, 0-100\% acetonitrile, 0-100\% ethanol, and 0-100\% methanol in de-ionized water were applied to extract nucleotides from mouse lymphoma cells, and nucleotide yields, recovery, and reproducibility were compared. The assay met the commonly accepted validation limits for biological fluids, if 20-80\% acetonitrile in water and 40-60\% ethanol in water were used as extraction solvents. (C) 2003 Elsevier Science B.V. All rights reserved.},
	keywords = {CELLS, dynamic pH junction, FLUIDS, MIGRATION BEHAVIOR, NUCLEOSIDES, nucleotides, PERFORMANCE LIQUID-CHROMATOGRAPHY, QUANTITATIVE-ANALYSIS, SEPARATION, TISSUES, TRIPHOSPHATES},
	isbn = {1570-0232},
	url = {<Go to ISI>://000182059400012},
	author = {Grob, M. K. and O{\textquoteright}Brien, K. and Chu, J. J. and Chen, D. D. Y.}
}
