In this thesis, three different read-out techniques for biomolecular recognition have been studied. All three techniques rely on the change in dynamic behaviour of probe functionalised magnetic beads after binding to a biomolecular target complementary to the probe. In the first technique presented, the sample is exposed to an AC magnetic field while the response to this field is probed using a laser source and a photodetector positioned at opposite sides of the sample. Beads bound to the target entity will experience an increase in their hydrodynamic volume, and will not be able to respond as rapidly to an alternating field as free beads. Here, the target entity is either DNA coils formed by rolling circle amplification or biotinylated bovine serum albumin (bBSA). The change in dynamic behaviour is measured as a frequency dependent modulation of transmitted light. Limit of detections (LODs) of 5 pM DNA coils originating from a V. cholerae target and 100 pM of bBSA have been achieved. In the second technique presented, the beads are magnetically transported across a probe functionalised detection area on a microchip. Beads bound to a target will be blocked from interaction with the detection area probes, whereas in the absence of a target, beads will be immobilised on the detection area. The LOD of biotin for this system proved to be in the range of 20 to 50 ng/ml. In the third technique presented, the sample is microfluidically transported to a detection area on a microchip. The read-out is performed using a planar Hall effect bridge sensor. A sinusoidal current is applied to the bridge in one direction and the sensor output voltage is measured across the sensor in the perpendicular direction. The AC current induced bead magnetisation contributing to the sensor output will appear different for free beads compared to beads bound to a target. LODs of 500 B. globigii spores and 2 pM of V. cholerae DNA coils were achieved. From a lab-on-a-chip point of view, all three techniques considered in this thesis show promising results with regards to sensitivity and integrability.

Magnetic biosensors detect biological targets through sensing the stray field of magnetic beads which label the targets. Commonly, magnetic biosensors employ the “sandwich” method to immobilize biological targets, i.e., the targets are sandwiched between a bio-functionalized sensor surface and bio-functionalized magnetic beads. This method has been used very successfully in different application, but its execution requires a rather elaborate procedure including several washing and incubation steps. This dissertation investigates a new magnetic biosensor concept, which enables a simple and effective detection of biological targets. The biosensor takes advantage of the size difference between bare magnetic beads and compounds of magnetic beads and biological targets. First, the detection of super-paramagnetic beads via magnetic tunnel junction (MTJ) sensors is implemented. Frequency modulation is used to enhance the signal-to-noise ratio, enabling the detection of a single magnetic bead. Second, the concept of the magnetic biosensor is investigated theoretically. The biosensor consists of an MTJ sensor, which detects the stray field of magnetic beads inside of a trap on top of the MTJ. A microwire between the trap and the MTJ is used to attract magnetic beads to the trapping well by applying a current to it. The MTJ sensor’s output depends on the number of beads inside the trap. If biological targets are in the sample solution, the beads will form bead compounds consisting of beads linked to the biological targets. Since bead compounds are larger than bare beads, the number of beads inside the trapping well will depend on the presence of biological targets. Hence, the output of the MTJ sensor will depend on the biological targets. The dependences of sensor signals on the sizes of the MTJ sensor, magnetic beads and biological targets are studied to find the optimum constellations for the detection of specific biological targets. The optimization is demonstrated for the detection of E. coli, and similar optimization processes can be performed for the detection of other biological targets. Third, we demonstrate the new magnetic biosensor concept using a mechanical trap capable of detecting nucleic acids via the size difference between bare magnetic beads and bead compounds. The bead compounds are formed through linking nonmagnetic beads of 1 µm in diameter and magnetic beads of 2.8 µm in diameter by the target nucleic acids. The purpose of the nonmagnetic beads is to increase the size of the compounds, since the nucleic acid is very small compared to the magnetic beads. Alternatively, smaller magnetic beads could be used but their detection would be more challenging. Finally, an enhanced version of the magnetic biosensor concept is developed using an electromagnetic trap for the detection of E. coli. The trap is formed by a current-carrying microwire that attracts magnetic beads into a virtual sensing space. As in the case of the mechanical trap, the sensor signal depends on the number of beads inside of the sensing space. The distance which magnetic beads can be detected from by the MTJ sensor defines the sensing space. The results showed that the output signal depends on the concentration of E. coli in the sample solution and that individual E. coli bacterium inside the sensing space could be detected using super-paramagnetic beads that are 2.8 µm in diameter. In summary, this dissertation investigates a new magnetic biosensor concept, which detects biological targets via the size difference between bare magnetic beads and compounds of magnetic beads and biological targets. The new method is extremely simple and enables the detection of biological targets in two simple steps and within a short time. The concept is demonstrated for the detection of nucleic acid and E. coli.

This thesis describes a new approach to biomolecular analysis, called the volume-amplified magnetic nanobead detection assay (VAM-DNA). It is a sensitive, specific magnetic bioassay that offers a potential platform for the development of low-cost, easy-to-use diagnostic devices. The VAM-NDA consists of three basic steps: biomolecular target recognition, enzymatic amplification of the probe-target complex using the rolling circle amplification (RCA) technique, and addition of target complementary probe-tagged magnetic nanobeads which exhibit Brownian relaxation behavior. Target detection is demonstrated by measuring the frequency-dependent complex magnetization of the magnetic beads. The binding of the RCA products (target DNA-sequence coils) to the bead surface causes a dramatic increase in the bead size, corresponding essentially to the size of the DNA coil (typically around one micrometer). This causes a decrease in the Brownian relaxation frequency, since it is inversely proportional to the hydrodynamic size of the beads. The concentration of the DNA coils is monitored by measuring the decrease in amplitude of the Brownian relaxation peaks of free beads. The parameters oligonucleotide surface coverage, bead concentration, bead size and RCA times were investigated in this thesis to characterize features of the assay. It was found that all of these parameters affect the outcome and efficiency of the assay. The possibility of implementing the assay on a portable, highly sensitive AC susceptometer platform was also investigated. The performance of the assay under these circumstances was compared with that using a superconducting quantum interference device (SQUID); the sensitivity of the assay was similar for both platforms. It is concluded that, the VAM-NDA opens up the possibility to perform biomolecular detection in point-of-care and outpatient settings on portable platforms similar to the one tested in this thesis. Finally, the VAM-NDA was used to detect Escherichia coli bacteria and the spores of Bacillus globigii, the non-pathogenic simulant of Bacillus anthracis. A limit of detection of at least 50 bacteria or spores was achieved. This shows that the assay has great potential for sensitive detection of biomolecules in both environmental and biomedical applications.