2010
DOI: 10.1007/s00216-010-4071-3
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Determination of marker pteridines in urine by HPLC with fluorimetric detection and second-order multivariate calibration using MCR-ALS

Abstract: A liquid chromatographic method has been developed, in combination with the multivariate curve resolution-alternating least squares algorithm (MCR-ALS), for the simultaneous determination of marker pteridines in urine samples. A central composite design has been applied to optimize the factors influencing the separation (buffer concentration, buffer pH, flow rate, oven temperature, mobile-phase composition). A set of 15 calibration samples were randomly prepared, in a concentration range of 0.5-10.5 ng mL(-1) … Show more

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Cited by 39 publications
(24 citation statements)
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“…As an example, we consider the development of an HPLC-FSFD method for the 664 simultaneous determination of five marker pteridines in urine samples: neopterin 665 (NEO), biopterin (BIO), pterin (PT), xanthopterin (XAN) and isoxanthopterin (ISO) 666 [72]. Figure 12 shows a chromatogram registered at  exc = 272 nm and  em = 445 nm 667 and elution times between 2.0 and 6.5 min for a urine sample, after spiking it with the 668 five analytes.…”
Section: ** 649mentioning
confidence: 99%
“…As an example, we consider the development of an HPLC-FSFD method for the 664 simultaneous determination of five marker pteridines in urine samples: neopterin 665 (NEO), biopterin (BIO), pterin (PT), xanthopterin (XAN) and isoxanthopterin (ISO) 666 [72]. Figure 12 shows a chromatogram registered at  exc = 272 nm and  em = 445 nm 667 and elution times between 2.0 and 6.5 min for a urine sample, after spiking it with the 668 five analytes.…”
Section: ** 649mentioning
confidence: 99%
“…First, an approach to determine five of the most important pteridine markers (BIO, NEO, ISO, XAN and PT) by means of a chromatographic method linked to a second-order multivariate procedure has been reported. The developed method enables the determination of the listed pteridines in urine, some of them with overlapping profiles, in a short analysis time and with the consequent reduction of reagent consumption [67,68]. A multivariate curve resolution-alternating least squares (MCR-ALS) algorithm gives good results for the investigated system, where significantly overlapped signal are detected.…”
Section: Future Perspectivesmentioning
confidence: 99%
“…Several strategies for obtaining acceptable resolution in chromatograms with overlapped peaks using chemometrics have been proposed (Duarte and Capelo 2006;Li et al 2006). Partial least squares regression (PLSR) and multivariate curve resolution (MCR) have proven to be valuable chemometrics resources in overcoming the problem of overlapping peaks de Llanos et al 2011;Donmez et al 2011;Gonzalez-Garcia et al 2008;Mas et al 2011;Rodriguez-Cuesta et al 2005) and matrix effects (Galera et al 2010;Garcia et al 2009) in chromatographic determinations.…”
Section: Introductionmentioning
confidence: 99%