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Flow-through sensors for enhancing sensitivity and selectivity of FTIR spectroscopy in aqueous media
Affiliation:1. Neonatal Research Unit, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain;2. Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164-UPA, 1060 Vienna, Austria;3. Laboratorio de Desarrollo Analítico y Quimiometría, FBCB, Universidad Nacional del Litoral-CONICET, Ciudad Universitaria, 3000 Santa Fe, Argentina;4. Human & Environmental Health & Safety (HEHS), Leitat Technological Center, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain;5. Unidad Analítica, Health Research Institute La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain;6. Food Chemistry Laboratory, BOKU – University of Natural Resources and Life Sciences, Muthgasse 11, 1190 Vienna, Austria;7. Division of Neonatology, University & Polytechnic Hospital La Fe, Avenida Fernando Abril Martorell 106, 46026 Valencia, Spain;1. Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/151, A-1060 Vienna, Austria;2. Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Assiut University, 71526 Assiut, Egypt;1. Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/151, A-1060 Vienna, Austria;2. Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Assiut University, 71526 Assiut, Egypt;3. Division of Plant Protection, Department of Crop Sciences, University of Natural Resources and Life Sciences, Vienna, Austria;4. Department of Plant Pathology, Faculty of Agriculture, Assiut University, 71526 Assiut, Egypt
Abstract:The principle of novel flow-through sensor systems with FTIR spectroscopic detection is presented on the example of the determination of organic acids in aqueous solution. The constructed flow-through sensor system is based on trapping of derivatized porous polymer beads in a conventional IR transmission cell and integration of the flow cell into a sequential injection (SI) manifold. By the SI-manifold sample pre-conditioning, sample-sensor interaction and sensor regeneration were performed in an automated and highly reproducible way. The polymer beads used in this study contained anion exchanger groups so that negatively charged molecules such as organic acids present in the anionic form could selectively interact with the polymer beads. Upon pumping a sample through the sensor cell organic acids were retained on the polymer beads whereas non-ionic matrix molecules passed hence allowing to separate the target analytes form the matrix. Apart from that the organic acids were also concentrated onto the polymer beads so that absolute analyte amounts in the low μg range could easily be detected. Linear calibration curves from 0 to 1 mmol l−1 were recorded for acetic and malic acid using a sample volume of 500 μl (sx0: 0.032 mmol l−1 acetic acid and 0.031 mmol l−1 malic acid). Mixtures of both acids were analyzed as well and it could be shown that by application of multivariate data evaluation procedures (PLS) simultaneous quantification of both acids could be performed successfully using the developed flow-through sensor system.
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