Microuidic chip for monitoring Ca 2+ transport through a conuent layer of intestinal cells C. Huang, * a Q. Ramadan,§ * a J. B. Wacker,{ a H. C. Tekin,k a C. Ruert,** a G. Verg ` eres, b P. Silacci b and M. A. M. Gijs a The absorption of dietary calcium through the intestinal barrier is essential for maintaining health in general and especially of the bone system. We propose a microuidic model that studies free calcium (Ca 2+ ) transport through a conuent monolayer of Caco-2 cells. The latter were cultured on a porous membrane that was positioned in between a top and bottom microuidic chamber. Fresh cell culture medium was continuously supplied into the device at a ow rate of 5 nL s 1 and the culture progress of the cell monolayer was continu- ously monitored using integrated Transepithelial Electrical Resistance (TEER) electrodes. The electrical measurements showed that the Caco-2 monolayer formed a dense and tight barrier in 5 days. The transported free Ca 2+ from the top microuidic chamber to the basolateral side of the cell monolayer was measured using the calcium-sensitive dye fura-2. This is a ratiometric dye which exhibits an excitation spectrum shift from 340 nm to 380 nm, when it binds to Ca 2+ with an emission peak at 510 nm. Therefore, the concentration of free Ca 2+ is proportional to the ratio of uorescence emissions obtained by exciting at 340 nm and 380 nm. The barrier function of the cell monolayer was evaluated by a measured rate of Ca 2+ transport through the monolayer that was 5 times lower than that through the bare porous membrane. The continuous perfusion of cell nutrients and the resultant mechanical shear on the cell surface due to the uid ow are two key factors that would narrow the gap between the in vivo and in vitro conditions. These conditions signicantly enhance the Caco-2 cell culture model for studying nutrients bioavailability. Introduction Dietary calcium intake has an important impact on human health and chronic calcium deciency resulting from inade- quate intake or poor intestinal absorption is a major cause of reduced bone mass and osteoporosis. Calcium is absorbed in the mammal along two routes: (i) a transcellular mechanism, predominant in the duodenum and regulated by vitamin D, and (ii) a paracellular, concentration-dependent diusional process that takes place throughout the length of the intestine. 1 In normal conditions, calcium predominantly traverses the intes- tinal epithelium via the paracellular pathway, 2 which is driven by the voltage gradient between the apical and basolateral side of the gut epithelium, and regulated by the tight junction proteins, which polymerize to form an array of channel-like paracellular pores. 3 In vivo methods, which provide direct data of bioavailability, have been used to measure the bioavailability of a great variety of metabolites. 4,5 Such studies imply the consumption of a certain dose of a nutrient by either humans or animals, and subsequently monitoring its concentration in the blood plasma over time and compare it to an equivalent nutrient dose found in a food source. 6 However, in vivo studies are technically dicult, costly, and limited by ethical constraints. Another major drawback of in vivo data is the variability in physiological state of individuals and the possible interaction of the nutrient with other components in the diet. 7 Therefore, alternative methods are needed. In vitro models of the human gastrointestinal tract (GIT), that closely mimic the physiological processes of absorption, may provide ecient tools for the bioavailability measure- ments, and therefore can show more systematic human tissue response to nutrients and signicantly reduce experimentation expenses. The standard in vitro model used for studying the bioavailability of nutrients in food is a conuent layer of epithelial cells, 8,9 with Caco-2 cells the most popular choice for modeling the human GIT. 10,11 In this model, the cell monolayer is grown on a porous membrane, such as a Transwell insert (Millipore, USA), which is placed inside a culture well to form a a Laboratory of Microsystems, ´ Ecole Polytechnique F´ ed´ erale de Lausanne, Switzerland. E-mail: alramadanq@ime.a-star.edu.sg b Institute for Food Science, Agroscope, Federal Oce of Agriculture, Berne, Switzerland Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra09370d College of Chemical Engineering, Nanjing Forestry University (NFU), Nanjing, 210037, P. R. China. § Bioelectronics Department, Institute of Microelectronics, A*STAR, Singapore. { CSEM, Rue Jaquet-Droz 1, CH-2002 Neuchˆ atel, Switzerland. k Stanford University School of Medicine, Canary Center Early Cancer Detection, Stanford, CA 94305-5101, USA. ** Institut fuer Mikroproduktionstechnik, Produktionstechnisches Zentrum, Leibniz Universitaet Hannover, 30823 Garbsen, Germany. Cite this: RSC Adv. , 2014, 4, 52887 Received 28th August 2014 Accepted 16th October 2014 DOI: 10.1039/c4ra09370d www.rsc.org/advances This journal is © The Royal Society of Chemistry 2014 RSC Adv. , 2014, 4, 5288752891 | 52887 RSC Advances COMMUNICATION