Currently most economical and technological bottlenecks in protein production are placed in the down-stream processes. With the aim of increasing the efficiency and reducing the associated costs, variousaffinity ligands have been developed. Affitins are small, yet robust and easy to produce, proteins derivedfrom the archaeal extremophilic “7 kDa DNA-binding” protein family. By means of combinatorial pro-tein engineering and ribosome display selection techniques, Affitins have shown to bind a diversity oftargets. In this work, two previously developed Affitins (anti-lysozyme and anti-IgG) were immobilizedonto magnetic particles to assess their potential for protein purification by magnetic fishing. The opti-mal lysozyme and human IgG binding conditions yielded 58 mg lysozyme/g support and 165 mg IgG/gsupport, respectively. The recovery of proteins was possible in high yield (≥95{%}) and with high purity,namely ≥95{%} and 81{%}, when recovering lysozyme from Escherichia coli supernatant and IgG from humanplasma, respectively. Static binding studies indicated affinity constants of 5.0 × 104M−1and 9.3 × 105M−1for the anti-lysozyme and anti-IgG magnetic supports. This work demonstrated that Affitins, which canbe virtually evolved for any protein of interest, can be coupled onto magnetic particles creating novelaffinity adsorbents for purification by magnetic fishing.

In this work we have evaluated the potential of boronic acid functionalized magnetic particles for the one-step capture of a human monoclonal antibody (mAb) from a Chinese hamster ovary (CHO) cell culture supernatant. For comparison, Protein A coated magnetic particles were also used. The most important factor influencing the overall process yield and product purity in boronic acid particles was found to be the binding pH. Basic pH values promoted higher purities while resulting in decreased yields due to the competing effects of molecules such as glucose and lactate present in the cell culture supernatant. After optimization, the particles were successfully used in a multi-cycle purification process of the mAb from the CHO feedstock. Boronic acid particles were able to achieve an average overall yield of 86% with 88% removal of CHO host cell proteins (HCP) when the binding was performed at pH 7.4, while at pH 8.5 these values were 58% and 97%, respectively. In both cases, genomic DNA removal was in excess of 97%. Comparatively, Protein A particles recorded an average overall yield of 80% and an HCP removal greater than 99%. The adsorption of the mAb to the boronic acid particles was shown to be mediated by strong affinity interactions. Overall, boronic acid based purification processes can offer a cost-effective alternative to Protein A as the direct capturing step from the mammalian cell culture.

Enhancing the selectivity of gas sensing materials towards specific volatile organic compounds (VOCs) is
challenging due to the chemical simplicity of VOCs as well as the difficulty in interfacing VOC selective
biological elements with electronic components used in the transduction process. We aimed to tune the
selectivity of gas sensing materials through the incorporation of VOC-selective peptides into gel-like gas
sensing materials. Specifically, a peptide (P1) known to discriminate single carbon deviations among benzene
and derivatives, along with two modified versions (P2 and P3), were integrated with gel compositions
containing gelatin, ionic liquid and without or with a liquid crystal component (ionogels and hybrid gels
respectively). These formulations change their electrical or optical properties upon VOC exposure, and were
tested as sensors in an in-house developed e-nose. Their ability to distinct and identify VOCs was evaluated
via a supervised machine learning classifier. Enhanced discrimination of benzene and hexane was detected
for the P1-based hybrid gel. Additionally, complementarity of the electrical and optical sensors was observed
considering that a combination of both their accuracy predictions yielded the best classification results for the
tested VOCs. This indicates that a combinatorial array in a dual-mode e-nose could provide optimal
performance and enhanced selectivity.

Animals’ olfactory systems rely on proteins, olfactory receptors (ORs) and
odorant-binding proteins (OBPs), as their native sensing units to detect odours.
Recent advances demonstrate that these proteins can also be employed as
molecular recognition units in gas-phase biosensors. In addition, the interactions
between odorant molecules and ORs or OBPs are a source of inspiration
for designing peptides with tunable odorant selectivity. We review recent
progress in gas biosensors employing biological units (ORs, OBPs, and peptides)
in light of future developments in artificial olfaction, emphasizing examples
where biological components have been employed to detect gas-phase
analytes.

The purpose of this work was the development of a scalable and easy-to-use electronic noses (E-noses) system architecture for volatile organic compounds sensing, towards the final goal of using several E-noses acquiring large datasets at the same time. In order to accomplish this, each E-nose system is comprised by a delivery system, a detection system and a data acquisition and control system. In order to increase the scalability, the data is stored in a database common to all E-noses. Furthermore, the system was designed so it would only require five simple steps to setup a new E-nose if needed, since the only parameter that needs to be changed is the ID of the new E-nose. The user interacts with a node using an interface, allowing for the control and visualization of the experiment. At this stage, there are three different E-nose prototypes working with this architecture in a laboratory environment.