Localized surface plasmon resonance (LSPR) has emerged as a leader among label-free biosensing techniques in that it offers sensitive, robust, and facile detection. Traditional LSPR-based biosensing utilizes the sensitivity of the plasmon frequency to changes in local index of refraction at the nanoparticle surface. Although surface plasmon resonance technologies are now widely used to measure biomolecular interactions, several challenges remain. In this article, we have categorized these challenges into four categories: improving sensitivity and limit of detection, selectivity in complex biological solutions, sensitive detection of membrane-associated species, and the adaptation of sensing elements for point-of-care diagnostic devices. The first section of this article will involve a conceptual discussion of surface plasmon resonance and the factors affecting changes in optical signal detected. The following sections will discuss applications of LSPR biosensing with an emphasis on recent advances and approaches to overcome the four limitations mentioned above. First, improvements in limit of detection through various amplification strategies will be highlighted. The second section will involve advances to improve selectivity in complex media through self-assembled monolayers, “plasmon ruler” devices involving plasmonic coupling, and shape complementarity on the nanoparticle surface. The following section will describe various LSPR platforms designed for the sensitive detection of membrane-associated species. Finally, recent advances towards multiplexed and microfluidic LSPR-based devices for inexpensive, rapid, point-of-care diagnostics will be discussed.

The radical S-adenosyl-L-methionine (AdoMet) enzyme HydG is one of three maturase enzymes involved in [FeFe]-hydrogenase H-cluster assembly. It catalyzes L-tyrosine cleavage to yield the H-cluster cyanide and carbon monoxide ligands as well as p-cresol. Clostridium acetobutylicum HydG contains the conserved CX3CX2C motif coordinating the AdoMet binding [4Fe-4S] cluster and a C-terminal CX2CX22C motif proposed to coordinate a second [4Fe-4S] cluster. To improve our understanding of the roles of each of these iron-sulfur clusters in catalysis, we have generated HydG variants lacking either the N- or C-terminal cluster and examined these using spectroscopic and kinetic methods. We have used iron analyses, UV-visible spectroscopy, and electron paramagnetic resonance (EPR) spectroscopy of an N-terminal C96/100/103A triple HydG mutant that cannot coordinate the radical AdoMet cluster to unambiguously show that the C-terminal cysteine motif coordinates an auxiliary [4Fe-4S] cluster. Spectroscopic comparison with a C-terminally truncated HydG (ΔCTD) harboring only the N-terminal cluster demonstrates that both clusters have similar UV-visible and EPR spectral properties, but that AdoMet binding and cleavage occur only at the N-terminal radical AdoMet cluster. To elucidate which steps in the catalytic cycle of HydG require the auxiliary [4Fe-4S] cluster, we compared the Michaelis-Menten constants for AdoMet and L-tyrosine for reconstituted wild-type, C386S, and ΔCTD HydG and demonstrate that these C-terminal modifications do not affect the affinity for AdoMet but that the affinity for L-tyrosine is drastically reduced compared to that of wild-type HydG. Further detailed kinetic characterization of these HydG mutants demonstrates that the C-terminal cluster and residues are not essential for L-tyrosine cleavage to p-cresol but are necessary for conversion of a tyrosine-derived intermediate to cyanide and CO.

Surface-enhanced Raman spectroscopy (SERS) has become an essential ultrasensitive analytical tool for biomolecular analysis of small molecules, macromolecular proteins, and even cells. SERS enables label-free, direct detection of molecules through their intrinsic Raman fingerprint. In particular, protein and lipid bilayers are dynamic three-dimensional structures that necessitate label-free methods of characterization. Beyond direct detection and quantitation, the structural information contained in SERS spectra also enables deeper biophysical characterization of biomolecules near metallic surfaces. Therefore, SERS offers enormous potential for such systems, although making measurements in a nonperturbative manner that captures the full range of interactions and activity remains a challenge. Many of these challenges have been overcome through advances in SERS substrate development, which have expanded the applications and targets of SERS for direct biomolecular quantitation and biophysical characterization. In this review, we will first discuss different categories of SERS substrates including solution-phase, solid-supported, tip-enhanced Raman spectroscopy (TERS), and single-molecule substrates for biomolecular analysis. We then discuss detection of protein and biological lipid membranes. Lastly, biophysical insights into proteins, lipids and live cells gained through SERS measurements of these systems are reviewed.

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Lipid membranes and membrane proteins are important biosensing targets, motivating the development of label-free methods with improved sensitivity. Silica-coated metal nanoparticles allow these systems to be combined with supported lipid bilayers for sensing membrane proteins through localized surface plasmon resonance (LSPR). However, the small sensing volume of LSPR makes the thickness of the silica layer critical for performance. Here, we develop a simple, inexpensive, and rapid sol-gel method for preparing thin conformal, continuous silica films and demonstrate its applicability using gold nanodisk arrays with LSPRs in the near-infrared range. Silica layers as thin as ∼5 nm are observed using cross-sectional scanning transmission electron microscopy. The loss in sensitivity due to the thin silica coating was found to be only 16%, and the biosensing capabilities of the substrates were assessed through the binding of cholera toxin B to GM1 lipids. This sensor platform should prove useful in the rapid, multiplexed detection and screening of membrane-associated biological targets.