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  • 1.
    Yadav, Sangeeta
    et al.
    School of Biosciences and Technology, VIT-Vellore 632014, Tamil Nadu, India.
    Jain, Saumey
    KTH, School of Electrical Engineering and Computer Science (EECS).
    Manoj Kumaran, S
    Centre for Nanobiotechnology, VIT-Vellore 632014, Tamil Nadu, India.
    Satija, Jitendra
    Centre for Nanobiotechnology, VIT-Vellore 632014, Tamil Nadu, India.
    Bimetallic Hollow Nanostructures for Colorimetric Detection of Picomolar Level of Mercury.2020In: Journal of Nanoscience and Nanotechnology, ISSN 1533-4880, E-ISSN 1533-4899, Vol. 20, no 2, p. 991-998Article in journal (Refereed)
    Abstract [en]

    In this paper, we report the use of bimetallic hollow nanostructures (BHNS), consisting of gold and silver metals, for colorimetric detection of mercury. The sodium dodecyl sulphate (SDS)-capped BHNS were prepared by galvanic etching of silver nanoparticles (AgNPs) using gold chloride resulting in a partially hollow AgNPs with the gold layer at its surface. These BHNS were interacted with an aqueous solution of mercury ions (Hg2+) in the concentration range of 10 pM-10 mM. Interestingly, at higher concentration range (10 μM-10 mM), a noticeable change in the solution color was observed with a prominent decrease in the absorption intensity and blue-shift in the peak plasmonic wavelength. This could be attributed to (i) complexation reaction between the anionic BHNS (due to the negatively charged SDS capping) and cationic Hg2+ and (ii) oxidative etching of silver from BHNS causing its depletion and resulting into Ag-Hg amalgam and/or aggregation of the nanostructures. In contrast, at lower concentration range (i.e., 10 pM-10 nM), an increase in the absorption intensity was observed, which was possibly due to the oxidative etching of silver from BHNS without aggregation of the nanostructures. The low amount of Hg2+ was not sufficient enough to interact with SDS capping layer present on the BHNS surface, unlike the higher concentrations of mercury and therefore, did not cause any aggregation. The developed colorimetric sensor showed high sensitivity and selectivity towards Hg2+ detection with a limit of detection of 10 pM and good linearity (R² = 0.97) in the concentration range of 10 pM-10 nM.

  • 2.
    Malmqvist, Tove
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management.
    Moncaster, Alice
    Open University, UK.
    Rasmussen, Freja
    Aalborg University, Denmark.
    Birgisdottir, Harpa
    Aalborg University, Denmark.
    Circularity in the built environment: – a call for a paradigm shift2020In: Handbook of the Circular Economy / [ed] Brandão, M., Lazarevic, D., Finnveden, G, Cheltenham, UK: Edward Elgar Publishing, 2020Chapter in book (Other academic)
  • 3.
    Hossain, Mohammad Istiak
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
    Azari, Amin
    KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
    Zander, Jens
    KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
    Collision Multiplicity Detection: Challenges, Solutions, and Impacts on Cellular Random Access2020Conference paper (Other academic)
    Abstract [en]

    In cellular and cellular-IoT systems, random access has the utmost importance as it is the gatekeeper that assures conflict-free access to radio resources. The main drawback of the legacy protocols lies at the collision resolution procedure as the base station (BS) is blind to the collision multiplicity and collided devices rely on the BSs for contention resolution. While contention resolution over the random access channel (RACH) is mature in the literature, most studies are following optimistic assumptions in which the full collision impact at the receiver is neglected, and a simplified model of partially overlapping packets is considered. This work is devoted to the investigation of a more realistic model of collision in cellular networks with the aim to investigate challenges and potential solutions in preamble detection in collision scenarios. The simulation results show that besides previously well-known challenges in dealing with collisions, the occurrence of collisions significantly increases the probability of false preamble detection.

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