833 research outputs found

    Modes of Random Lasers

    Get PDF
    In conventional lasers, the optical cavity that confines the photons also determines essential characteristics of the lasing modes such as wavelength, emission pattern, ... In random lasers, which do not have mirrors or a well-defined cavity, light is confined within the gain medium by means of multiple scattering. The sharp peaks in the emission spectra of semiconductor powders, first observed in 1999, has therefore lead to an intense debate about the nature of the lasing modes in these so-called lasers with resonant feedback. In this paper, we review numerical and theoretical studies aimed at clarifying the nature of the lasing modes in disordered scattering systems with gain. We will discuss in particular the link between random laser modes near threshold (TLM) and the resonances or quasi-bound (QB) states of the passive system without gain. For random lasers in the localized regime, QB states and threshold lasing modes were found to be nearly identical within the scattering medium. These studies were later extended to the case of more lossy systems such as random systems in the diffusive regime where differences between quasi-bound states and lasing modes were measured. Very recently, a theory able to treat lasers with arbitrarily complex and open cavities such as random lasers established that the TLM are better described in terms of the so-called constant-flux states.Comment: Review paper submitted to Advances in Optics and Photonic

    Modes of random lasers

    Full text link
    In conventional lasers, the optical cavity that confines the photons also determines essential characteristics of the lasing modes such as wavelength, emission pattern, directivity, and polarization. In random lasers, which do not have mirrors or a well-defined cavity, light is confined within the gain medium by means of multiple scattering. The sharp peaks in the emission spectra of semiconductor powders, first observed in 1999, has therefore lead to an intense debate about the nature of the lasing modes in these so-called lasers with resonant feedback. We review numerical and theoretical studies aimed at clarifying the nature of the lasing modes in disordered scattering systems with gain. The past decade has witnessed the emergence of the idea that even the low-Q resonances of such open systems could play a role similar to the cavity modes of a conventional laser and produce sharp lasing peaks. We focus here on the nearthreshold single-mode lasing regime where nonlinear effects associated with gain saturation and mode competition can be neglected.We discuss in particular the link between random laser modes near threshold and the resonances or quasi-bound (QB) states of the passive system without gain. For random lasers in the localized (strong scattering) regime, QB states and threshold lasing modes were found to be nearly identical within the scattering medium. These studies were later extended to the case of more lossy systems such as random systems in the diffusive regime, where it was observed that increasing the openness of such systems eventually resulted in measurable and increasing differences between quasi-bound states and lasing modes. Very recently, a theory able to treat lasers with arbitrarily complex and open cavities such as random lasers established that the threshold lasing modes are in fact distinct from QB states of the passive system and are better described in terms of a new class of states, the so-called constant-flux states. The correspondence between QB states and lasing modes is found to improve in the strong scattering limit, confirming the validity of initial work in the strong scattering limit. © 2010 Optical Society of America

    Highly selective BSA imprinted polyacrylamide hydrogels facilitated by a metal-coding MIP approach

    Get PDF
    We report the fabrication of metal-coded molecularly imprinted polymers (MIPs) using hydrogel-based protein imprinting techniques. A Co(II) complex was prepared using (E)-2-((2 hydrazide-(4-vinylbenzyl) hydrazono)methyl)phenol; along with iron(III) chloroprotoporphyrin (Hemin), vinylferrocene (VFc), zinc (II) protoporphyrin (ZnPP) and protoporphyrin (PP), these complexes were introduced into the MIPs as co-monomers for metal-coding of non-metalloprotein imprints. Results indicate a 66% enhancement for bovine serum albumin (BSA) protein binding capacities (Q, mg/g) via metal-ion/ligand exchange properties within the metal-coded MIPs. Specifically, Co(II)-complex-based MIPs exhibited 92 ± 1% specific binding with Q values of 5.7 ± 0.45 mg BSA/g polymer and imprinting factors (IF) of 14.8 ± 1.9 (MIP/non-imprinted (NIP) control). The selectivity of our Co(II)-coded BSA MIPs were also tested using bovine haemoglobin (BHb), lysozyme (Lyz), and trypsin (Tryp). By evaluating imprinting factors (K), each of the latter proteins was found to have lower affinities in comparison to cognate BSA template. The hydrogels were further characterised by thermal analysis and differential scanning calorimetry (DSC) to assess optimum polymer composition

    How behavioural science can contribute to health partnerships: The case of The Change Exchange

    Get PDF
    © 2017 The Author(s). Background: Health partnerships often use health professional training to change practice with the aim of improving quality of care. Interventions to change practice can learn from behavioural science and focus not only on improving the competence and capability of health professionals but also their opportunity and motivation to make changes in practice. We describe a project that used behavioural scientist volunteers to enable health partnerships to understand and use the theories, techniques and assessments of behavioural science. Case studies: This paper outlines how The Change Exchange, a collective of volunteer behavioural scientists, worked with health partnerships to strengthen their projects by translating behavioural science in situ. We describe three case studies in which behavioural scientists, embedded in health partnerships in Uganda, Sierra Leone and Mozambique, explored the behaviour change techniques used by educators, supported knowledge and skill development in behaviour change, monitored the impact of projects on psychological determinants of behaviour and made recommendations for future project developments. Discussion: Challenges in the work included having time and space for behavioural science in already very busy health partnership schedules and the difficulties in using certain methods in other cultures. Future work could explore other modes of translation and further develop methods to make them more culturally applicable. Conclusion: Behavioural scientists could translate behavioural science which was understood and used by the health partnerships to strengthen their project work

    AUXIN RESPONSE FACTOR3 Regulates Compound Leaf Patterning by Directly Repressing PALMATE-LIKE PENTAFOLIATA1 Expression in Medicago truncatula

    Full text link
    [EN] Diverse leaf forms can be seen in nature. In Medicago truncatula, PALM1 encoding a Cys(2) His(2) transcription factor is a key regulator of compound leaf patterning. PALM1 negatively regulates expression of SGL1, a key regulator of lateral leaflet initiation. However, how PALM1 itself is regulated is not yet known. To answer this question, we used promoter sequence analysis, yeast one-hybrid tests, quantitative transcription activity assays, ChIP-PCR analysis, and phenotypic analyses of overexpression lines and mutant plants. The results show that M. truncatula AUXIN RESPONSE FACTOR3 (MtARF3) functions as a direct transcriptional repressor of PALM1. MtARF3 physically binds to the PALM1 promoter sequence in yeast cells. MtARF3 selectively interacts with specific auxin response elements (AuxREs) in the PALM1 promoter to repress reporter gene expression in tobacco leaves and binds to specific sequences in the PALM1 promoter in vivo. Upregulation of MtARF3 or removal of both PHANTASTICA (PHAN) and ARGONAUTE7 (AGO7) pathways resulted in compound leaves with five narrow leaflets arranged in a palmate-like configuration. These results support that MtARF3, in addition as an adaxial-abaxial polarity regulator, functions to restrict spatiotemporal expression of PALM1, linking auxin signaling to compound leaf patterning in the legume plant M. truncatula.Funding of this work was provided in part by The Samuel Roberts Noble Foundation and by grants from the Oklahoma Center for Advancement of Science and Technology (OCAST; PS12-036 and PS16-034) and the National Science Foundation (IOS-1127155). The laboratory of FM was funded by the Spanish Ministerio de Economia y Competitividad and FEDER (BIO2015-64307-R) and the Generalitat Valenciana (ACOMP2012-099).Peng, J.; Berbel Tornero, A.; Madueño Albi, F.; Chen, R. (2017). AUXIN RESPONSE FACTOR3 Regulates Compound Leaf Patterning by Directly Repressing PALMATE-LIKE PENTAFOLIATA1 Expression in Medicago truncatula. Frontiers in Plant Science. 8:1-15. https://doi.org/10.3389/fpls.2017.01630S1158Adenot, X., Elmayan, T., Lauressergues, D., Boutet, S., Bouché, N., Gasciolli, V., & Vaucheret, H. (2006). DRB4-Dependent TAS3 trans-Acting siRNAs Control Leaf Morphology through AGO7. Current Biology, 16(9), 927-932. doi:10.1016/j.cub.2006.03.035Allen, E., Xie, Z., Gustafson, A. M., & Carrington, J. C. (2005). microRNA-Directed Phasing during Trans-Acting siRNA Biogenesis in Plants. Cell, 121(2), 207-221. doi:10.1016/j.cell.2005.04.004Barkoulas, M., Hay, A., Kougioumoutzi, E., & Tsiantis, M. (2008). A developmental framework for dissected leaf formation in the Arabidopsis relative Cardamine hirsuta. Nature Genetics, 40(9), 1136-1141. doi:10.1038/ng.189Ben-Gera, H., Shwartz, I., Shao, M.-R., Shani, E., Estelle, M., & Ori, N. (2012). ENTIRE and GOBLET promote leaflet development in tomato by modulating auxin response. The Plant Journal, 70(6), 903-915. doi:10.1111/j.1365-313x.2012.04939.xByrne, M. E., Barley, R., Curtis, M., Arroyo, J. M., Dunham, M., Hudson, A., & Martienssen, R. A. (2000). Asymmetric leaves1 mediates leaf patterning and stem cell function in Arabidopsis. Nature, 408(6815), 967-971. doi:10.1038/35050091Champagne, C. E. M., Goliber, T. E., Wojciechowski, M. F., Mei, R. W., Townsley, B. T., Wang, K., … Sinha, N. R. (2007). Compound Leaf Development and Evolution in the Legumes. The Plant Cell, 19(11), 3369-3378. doi:10.1105/tpc.107.052886Chen, J., Moreau, C., Liu, Y., Kawaguchi, M., Hofer, J., Ellis, N., & Chen, R. (2012). Conserved genetic determinant of motor organ identity in Medicago truncatula and related legumes. Proceedings of the National Academy of Sciences, 109(29), 11723-11728. doi:10.1073/pnas.1204566109Chen, J., Yu, J., Ge, L., Wang, H., Berbel, A., Liu, Y., … Chen, R. (2010). Control of dissected leaf morphology by a Cys(2)His(2) zinc finger transcription factor in the model legume Medicago truncatula. Proceedings of the National Academy of Sciences, 107(23), 10754-10759. doi:10.1073/pnas.1003954107Cheng, X., Peng, J., Ma, J., Tang, Y., Chen, R., Mysore, K. S., & Wen, J. (2012). NO APICAL MERISTEM (MtNAM) regulates floral organ identity and lateral organ separation in Medicago truncatula. New Phytologist, 195(1), 71-84. doi:10.1111/j.1469-8137.2012.04147.xDharmasiri, N., Dharmasiri, S., & Estelle, M. (2005). The F-box protein TIR1 is an auxin receptor. Nature, 435(7041), 441-445. doi:10.1038/nature03543Emery, J. F., Floyd, S. K., Alvarez, J., Eshed, Y., Hawker, N. P., Izhaki, A., … Bowman, J. L. (2003). Radial Patterning of Arabidopsis Shoots by Class III HD-ZIP and KANADI Genes. Current Biology, 13(20), 1768-1774. doi:10.1016/j.cub.2003.09.035Fahlgren, N., Montgomery, T. A., Howell, M. D., Allen, E., Dvorak, S. K., Alexander, A. L., & Carrington, J. C. (2006). Regulation of AUXIN RESPONSE FACTOR3 by TAS3 ta-siRNA Affects Developmental Timing and Patterning in Arabidopsis. Current Biology, 16(9), 939-944. doi:10.1016/j.cub.2006.03.065Fukushima, K., & Hasebe, M. (2013). Adaxial–abaxial polarity: The developmental basis of leaf shape diversity. genesis, 52(1), 1-18. doi:10.1002/dvg.22728Garcia, D., Collier, S. A., Byrne, M. E., & Martienssen, R. A. (2006). Specification of Leaf Polarity in Arabidopsis via the trans-Acting siRNA Pathway. Current Biology, 16(9), 933-938. doi:10.1016/j.cub.2006.03.064Ge, L., Chen, J., & Chen, R. (2010). Palmate-like pentafoliata1 encodes a novel Cys(2)His(2) zinc finger transcription factor essential for compound leaf morphogenesis in Medicago truncatula. Plant Signaling & Behavior, 5(9), 1134-1137. doi:10.4161/psb.5.9.12640Ge, L., & Chen, R. (2014). PHANTASTICA regulates leaf polarity and petiole identity inMedicago truncatula. Plant Signaling & Behavior, 9(3), e28121. doi:10.4161/psb.28121Ge, L., Peng, J., Berbel, A., Madueno, F., & Chen, R. (2013). Regulation of Compound Leaf Development by PHANTASTICA in Medicago truncatula. PLANT PHYSIOLOGY, 164(1), 216-228. doi:10.1104/pp.113.229914Hareven, D., Gutfinger, T., Parnis, A., Eshed, Y., & Lifschitz, E. (1996). The Making of a Compound Leaf: Genetic Manipulation of Leaf Architecture in Tomato. Cell, 84(5), 735-744. doi:10.1016/s0092-8674(00)81051-xHay, A. (2006). ASYMMETRIC LEAVES1 and auxin activities converge to repress BREVIPEDICELLUS expression and promote leaf development in Arabidopsis. Development, 133(20), 3955-3961. doi:10.1242/dev.02545Hay, A., & Tsiantis, M. (2006). The genetic basis for differences in leaf form between Arabidopsis thaliana and its wild relative Cardamine hirsuta. Nature Genetics, 38(8), 942-947. doi:10.1038/ng1835Hellens, R., Allan, A., Friel, E., Bolitho, K., Grafton, K., Templeton, M., … Laing, W. (2005). Plant Methods, 1(1), 13. doi:10.1186/1746-4811-1-13Hofer, J., Gourlay, C., Michael, A., & Ellis, T. H. N. (2001). Plant Molecular Biology, 45(4), 387-398. doi:10.1023/a:1010739812836Hofer, J., Turner, L., Hellens, R., Ambrose, M., Matthews, P., Michael, A., & Ellis, N. (1997). UNIFOLIATA regulates leaf and flower morphogenesis in pea. Current Biology, 7(8), 581-587. doi:10.1016/s0960-9822(06)00257-0Hunter, C. (2006). Trans-acting siRNA-mediated repression of ETTIN and ARF4 regulates heteroblasty in Arabidopsis. Development, 133(15), 2973-2981. doi:10.1242/dev.02491Ikezaki, M., Kojima, M., Sakakibara, H., Kojima, S., Ueno, Y., Machida, C., & Machida, Y. (2010). Genetic networks regulated byASYMMETRIC LEAVES1(AS1) andAS2in leaf development inArabidopsis thaliana:KNOXgenes control five morphological events. The Plant Journal, 61(1), 70-82. doi:10.1111/j.1365-313x.2009.04033.xIwasaki, M., Takahashi, H., Iwakawa, H., Nakagawa, A., Ishikawa, T., Tanaka, H., … Machida, C. (2013). Dual regulation of ETTIN (ARF3) gene expression by AS1-AS2, which maintains the DNA methylation level, is involved in stabilization of leaf adaxial-abaxial partitioning in Arabidopsis. Development, 140(9), 1958-1969. doi:10.1242/dev.085365Kaufmann, K., Muiño, J. M., Østerås, M., Farinelli, L., Krajewski, P., & Angenent, G. C. (2010). Chromatin immunoprecipitation (ChIP) of plant transcription factors followed by sequencing (ChIP-SEQ) or hybridization to whole genome arrays (ChIP-CHIP). Nature Protocols, 5(3), 457-472. doi:10.1038/nprot.2009.244Kepinski, S., & Leyser, O. (2005). The Arabidopsis F-box protein TIR1 is an auxin receptor. Nature, 435(7041), 446-451. doi:10.1038/nature03542Kidner, C. A., & Timmermans, M. C. P. (2010). Signaling Sides. Plant Development, 141-168. doi:10.1016/s0070-2153(10)91005-3Koenig, D., Bayer, E., Kang, J., Kuhlemeier, C., & Sinha, N. (2009). Auxin patterns Solanum lycopersicum leaf morphogenesis. Development, 136(17), 2997-3006. doi:10.1242/dev.033811Kojima, S., Iwasaki, M., Takahashi, H., Imai, T., Matsumura, Y., Fleury, D., … Machida, C. (2011). ASYMMETRIC LEAVES2 and Elongator, a Histone Acetyltransferase Complex, Mediate the Establishment of Polarity in Leaves of Arabidopsis thaliana. Plant and Cell Physiology, 52(8), 1259-1273. doi:10.1093/pcp/pcr083Li, Y., Liu, Z. B., Shi, X., Hagen, G., & Guilfoyle, T. J. (1994). An Auxin-Inducible Element in Soybean SAUR Promoters. Plant Physiology, 106(1), 37-43. doi:10.1104/pp.106.1.37Lincoln, C., Long, J., Yamaguchi, J., Serikawa, K., & Hake, S. (1994). A knotted1-like homeobox gene in Arabidopsis is expressed in the vegetative meristem and dramatically alters leaf morphology when overexpressed in transgenic plants. The Plant Cell, 6(12), 1859-1876. doi:10.1105/tpc.6.12.1859Long, J. A., Moan, E. I., Medford, J. I., & Barton, M. K. (1996). A member of the KNOTTED class of homeodomain proteins encoded by the STM gene of Arabidopsis. Nature, 379(6560), 66-69. doi:10.1038/379066a0Montgomery, T. A., Howell, M. D., Cuperus, J. T., Li, D., Hansen, J. E., Alexander, A. L., … Carrington, J. C. (2008). Specificity of ARGONAUTE7-miR390 Interaction and Dual Functionality in TAS3 Trans-Acting siRNA Formation. Cell, 133(1), 128-141. doi:10.1016/j.cell.2008.02.033Nakata, M., & Okada, K. (2013). The Leaf Adaxial-Abaxial Boundary and Lamina Growth. Plants, 2(2), 174-202. doi:10.3390/plants2020174Pekker, I., Alvarez, J. P., & Eshed, Y. (2005). Auxin Response Factors Mediate Arabidopsis Organ Asymmetry via Modulation of KANADI Activity. The Plant Cell, 17(11), 2899-2910. doi:10.1105/tpc.105.034876Peng, J., & Chen, R. (2011). Auxin efflux transporter MtPIN10 regulates compound leaf and flower development inMedicago truncatula. Plant Signaling & Behavior, 6(10), 1537-1544. doi:10.4161/psb.6.10.17326Peng, J., Yu, J., Wang, H., Guo, Y., Li, G., Bai, G., & Chen, R. (2011). Regulation of Compound Leaf Development in Medicago truncatula by Fused Compound Leaf1, a Class M KNOX Gene. The Plant Cell, 23(11), 3929-3943. doi:10.1105/tpc.111.089128Ramakers, C., Ruijter, J. M., Deprez, R. H. L., & Moorman, A. F. . (2003). Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neuroscience Letters, 339(1), 62-66. doi:10.1016/s0304-3940(02)01423-4Shani, E., Burko, Y., Ben-Yaakov, L., Berger, Y., Amsellem, Z., Goldshmidt, A., … Ori, N. (2009). Stage-Specific Regulation of Solanum lycopersicum Leaf Maturation by Class 1 KNOTTED1-LIKE HOMEOBOX Proteins. The Plant Cell, 21(10), 3078-3092. doi:10.1105/tpc.109.068148Tamura, K., Dudley, J., Nei, M., & Kumar, S. (2007). MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0. Molecular Biology and Evolution, 24(8), 1596-1599. doi:10.1093/molbev/msm092Tattersall, A. D., Turner, L., Knox, M. R., Ambrose, M. J., Ellis, T. H. N., & Hofer, J. M. I. (2005). The Mutant crispa Reveals Multiple Roles for PHANTASTICA in Pea Compound Leaf Development. The Plant Cell, 17(4), 1046-1060. doi:10.1105/tpc.104.029447Thompson, J. D., Higgins, D. G., & Gibson, T. J. (1994). CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research, 22(22), 4673-4680. doi:10.1093/nar/22.22.4673Ulmasov, T. (1997). ARF1, a Transcription Factor That Binds to Auxin Response Elements. Science, 276(5320), 1865-1868. doi:10.1126/science.276.5320.1865Ulmasov, T., Murfett, J., Hagen, G., & Guilfoyle, T. J. (1997). Aux/IAA proteins repress expression of reporter genes containing natural and highly active synthetic auxin response elements. The Plant Cell, 9(11), 1963-1971. doi:10.1105/tpc.9.11.1963Ulmasov, T., Liu, Z. B., Hagen, G., & Guilfoyle, T. J. (1995). Composite structure of auxin response elements. The Plant Cell, 7(10), 1611-1623. doi:10.1105/tpc.7.10.1611Vernoux, T., Brunoud, G., Farcot, E., Morin, V., Van den Daele, H., Legrand, J., … Traas, J. (2011). The auxin signalling network translates dynamic input into robust patterning at the shoot apex. Molecular Systems Biology, 7(1), 508. doi:10.1038/msb.2011.39Waites, R., Selvadurai, H. R. N., Oliver, I. R., & Hudson, A. (1998). The PHANTASTICA Gene Encodes a MYB Transcription Factor Involved in Growth and Dorsoventrality of Lateral Organs in Antirrhinum. Cell, 93(5), 779-789. doi:10.1016/s0092-8674(00)81439-7Wang, H., Chen, J., Wen, J., Tadege, M., Li, G., Liu, Y., … Chen, R. (2008). Control of Compound Leaf Development by FLORICAULA/LEAFY Ortholog SINGLE LEAFLET1 in Medicago truncatula. Plant Physiology, 146(4), 1759-1772. doi:10.1104/pp.108.117044Xu, L., Yang, L., Pi, L., Liu, Q., Ling, Q., Wang, H., … Huang, H. (2006). Genetic Interaction between the AS1–AS2 and RDR6–SGS3–AGO7 Pathways for Leaf Morphogenesis. Plant and Cell Physiology, 47(7), 853-863. doi:10.1093/pcp/pcj057Yamaguchi, T., Nukazuka, A., & Tsukaya, H. (2012). Leaf adaxial-abaxial polarity specification and lamina outgrowth: evolution and development. Plant and Cell Physiology, 53(7), 1180-1194. doi:10.1093/pcp/pcs074Zhou, C., Han, L., Fu, C., Wen, J., Cheng, X., Nakashima, J., … Wang, Z.-Y. (2013). The Trans-Acting Short Interfering RNA3 Pathway and NO APICAL MERISTEM Antagonistically Regulate Leaf Margin Development and Lateral Organ Separation, as Revealed by Analysis of an argonaute7/lobed leaflet1 Mutant in Medicagotruncatula. The Plant Cell, 25(12), 4845-4862. doi:10.1105/tpc.113.117788Zhou, C., Han, L., Hou, C., Metelli, A., Qi, L., Tadege, M., … Wang, Z.-Y. (2011). Developmental Analysis of a Medicago truncatula smooth leaf margin1 Mutant Reveals Context-Dependent Effects on Compound Leaf Development. The Plant Cell, 23(6), 2106-2124. doi:10.1105/tpc.111.085464Zhu, J.-Y., Sun, Y., & Wang, Z.-Y. (2011). Genome-Wide Identification of Transcription Factor-Binding Sites in Plants Using Chromatin Immunoprecipitation Followed by Microarray (ChIP-chip) or Sequencing (ChIP-seq). Plant Signalling Networks, 173-188. doi:10.1007/978-1-61779-809-2_1

    MIP-based protein profiling: A method for interspecies discrimination

    Get PDF
    Due to recent public concern and interest in the authenticity and origin of meat, for example, the 2013 “horsemeat scandal” in the human food chain, novel sensor strategies for the discrimination between protein species are highly sought after. In this work, molecularly imprinted polymers (MIPs) are utilised for protein discrimination using electrochemical sensor and spectrophotometric techniques. MIP selectivity between two proteins of similar molecular weight (haemoglobin and serum albumin) were compared across three different species, namely pork, beef and human. Bulk MIPs resulted in Kd and Bmax values of 184±23 µM, and 582 µmol g-1 for BHb, 246.3±26 µM, and 673 µmol g-1 for HHb; 276±31 µM, and 467 µmol g-1 for PHb. With the aid of chemometrics, i.e. multivariate analysis and pattern recognition, distinctive protein profiles have been achieved for species discrimination in both spectrophotometric and electrochemical analysis experiments. MIP suitability and selectivity within complex matrices was also assessed using urine, human plasma and human serum. Pattern recognition MIP-based protein profiling demonstrated positive outputs yielding either a ‘bovine’ or ‘not-bovine’ outcome (p = 0.0005) for biological samples spiked with/without bovine using respective bovine haemoglobin MIPs

    Dynamic pH mapping in microfluidic devices by integrating adaptive coatings based on polyaniline with colorimetric imaging techniques

    Get PDF
    In this paper we present a microfluidic device that has integrated pH optical sensing capabilities based on polyaniline. The optical properties of polyaniline coatings change in response to the pH of the solution that is flushed inside the microchannel offering the possibility of monitoring pH in continuous flow over a 10 wide pH range throughout the entire channel length. This work also features an innovative detection system for spatial localisation of chemical pH gradients along microfluidic channels through the use of a low cost optical device. Specifically, the use of a microfluidic channel coated with polyaniline is shown to respond colorimetrically to pH and that effect is detected by the detection system, even when pH gradients are induced within the channel. This study explores the capability of detecting this gradient by means of imaging techniques and the mapping of the camera’s response to its corresponding pH after a successful calibration process. The provision of an inherently responsive channel means that changes in the pH of a sample moving through the system can be detected dynamically using digital imaging along the entire channel length in real time, without the need to add reagents to the sample. This approach is generic and can be applied to other chemically responsive coatings immobilised on microchannels

    CFO role and CFO compensation: an empirical analysis of their implications

    Get PDF
    Given concerns over CFO pay, especially incentives, and considering the tension between a CFO’s fiduciary responsibility and being a key member of the firm’s executive team, we examine the determinants and effects of CFO compensation amount, incentive intensity, and proximity to CEO compensation in a sample of European companies (FTE 500, 2005-2009). First, we focus on the CFO role as a determinant of CFO compensation. Like prior work, we proxy for CFO roles by using hand-collected public data on education and past professional experience, but we supplement these proxies with proprietary data to more directly capture the firm-specific nature of the CFO job in term of its similarity with that of the CEO. We thus argue how CFOs can have varied roles characterized by different levels of financial expertise and CEO-likeness, and document that it is this latter aspect that is associated with CFO compensation. Second, we study the effects of CFO compensation design on outcomes in the CFO’s realm related to financial reporting. We find that CFO financial expertise is positively associated with financial reporting quality, while a CFO’s pay long-term incentive intensity and a CFO’s incentive compensation proximity with the CEO are negatively associated with financial reporting quality. Overall, then, our results suggest that CFOs get rewarded for their CEO-likeness, and particularly for their being similar to the CEO in terms of tasks and decision making authority. But it is their financial expertise that is positively related to financial reporting quality. At the same time, using compensation that is more incentive intensive and more similar to that of the CEO appears to be potentially detrimental to the quality of financial reporting. These results are relevant for boards involved in selecting highly expert CFOs, and their compensation committees charged with defining subsequently effective incentive compensation plans for those CFOs
    corecore