Label-Free Detection of Tetramolecular i-Motifs by Surface-Enhanced Raman Spectroscopy

Classification and recognition of noncanonical DNA secondary structures by surface-enhanced Raman spectroscopy and principal component analysis

The investigation of DNA secondary structures is of significance for understanding the function and regulation of nucleic acids. However, traditional techniques still face challenges in high-throughput, label-free analysis of DNA secondary structure diversity. Herein, principal component analysis (PCA) was used to optimize the substrate in surface-enhanced Raman spectroscopy (SERS) for the classification and recognition of noncanonical DNA secondary structures. In this assay, 3 kind of anions (Cl-, Br-, and I-) were used to modify the surface of sliver nanoparticles and gold nanoparticles, and 12 kinds of cations were optimized as the aggregation regent. On the basis of the featured peaks corresponding to DNA secondary structures, I- ions modified AgNPs with Ba2+ ions as aggregating agent (Ag IMNPs-Ba2+), and Br- ions modified AuNPs with Ba2+ ions as aggregating agent (Au BrMNPs-Ba2+) were selected as optimal substrates. With these two optimal substrates, the parallel, hybrid, and antiparallel G4 structures with different numbers of G-quartets, iM with different numbers of C:CH+ base pairs, and antiparallel and parallel double-strand DNA, were unambiguously classified. In addition, the complex DNA secondary structures in a mixed solution were accurately identified. This study provides a universal platform for DNA secondary structure analysis, and is implicated for further large-scale screening of SERS substrates.

Advancing DNA Structural Analysis: A SERS Approach Free from Citrate Interference Combined with Machine Learning

Surface-enhanced Raman spectroscopy (SERS) has become an indispensable tool for biomolecular analysis, yet the detection of DNA signals remains hindered by spectral interference from citrate ions, which overlap with key DNA features. This study introduces an innovative, ultrasensitive SERS platform utilizing thiol-modified silver nanoparticles (Ag@SDCNPs) that overcomes this challenge by eliminating citrate interference. This platform enables direct, interference-free detection and structural characterization of a wide range of DNA conformations, including single-stranded DNA (ssDNA), double-stranded DNA (dsDNA), i-motif, hairpin, G-quadruplex, and triple-stranded DNA (tsDNA). Employing calcium ions as aggregating agents and deuterated methanol as an internal standard, the system achieved high spectral quality and reproducibility. Machine learning (ML) techniques, such as linear discriminant analysis (LDA) and t-distributed stochastic neighbor embedding (t-SNE), were utilized for spectral classification, alongside support vector machines (SVM) for predictive modeling, yielding accuracies above 99%. These findings establish a robust and versatile platform for DNA structural analysis, offering transformative potential for applications in clinical diagnostics and biomedical research.

Differential Diagnosis of Urinary Cancers by Surface-Enhanced Raman Spectroscopy and Machine Learning

Bladder, kidney, and prostate cancers are prevalent urinary cancers, and developing efficient detection methods is of significance for the early diagnosis of them. However, noninvasive and sensitive detection of urinary cancers still challenges traditional techniques. In this study, we developed a SERS-based method to analyze serum samples from patients with urinary cancers. Rapid, label-free, and highly sensitive detection of human sera is achieved by cleaning and aggregating silver nanoparticles. Furthermore, a long short-term memory deep learning algorithm is used to distinguish serum spectra, and the performance of the model is evaluated by comparing the accuracy, sensitivity, specificity, and receiver operating characteristic curves. Taking advantage of SERS and machine learning in sensitivity and data processing, the three urinary cancers are clearly classified. This is the first attempt to exploit the SERS-machine learning strategy to discriminate multiple urinary cancers with clinical serum samples, and our results showed the potential application of this method in the early diagnosis and screening of cancers.

Plasmonic nanoparticle sensors: current progress, challenges, and future prospects

Plasmonic nanoparticles (NPs) have played a significant role in the evolution of modern nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of nanocrystal growth mechanisms, and their impact in a wide range of applications. They exhibit strong visible colors due to localized surface plasmon resonance (LSPR) that depends on their size, shape, composition, and the surrounding dielectric environment. Under resonant excitation, the LSPR of plasmonic NPs leads to a strong field enhancement near their surfaces and thus enhances various light-matter interactions. These unique optical properties of plasmonic NPs have been used to design chemical and biological sensors. Over the last few decades, colloidal plasmonic NPs have been greatly exploited in sensing applications through LSPR shifts (colorimetry), surface-enhanced Raman scattering, surface-enhanced fluorescence, and chiroptical activity. Although colloidal plasmonic NPs have emerged at the forefront of nanobiosensors, there are still several important challenges to be addressed for the realization of plasmonic NP-based sensor kits for routine use in daily life. In this comprehensive review, researchers of different disciplines (colloidal and analytical chemistry, biology, physics, and medicine) have joined together to summarize the past, present, and future of plasmonic NP-based sensors in terms of different sensing platforms, understanding of the sensing mechanisms, different chemical and biological analytes, and the expected future technologies. This review is expected to guide the researchers currently working in this field and inspire future generations of scientists to join this compelling research field and its branches.

Applying Machine Learning and SERS for Precise Typing of DNA Secondary Structures

Surface-enhanced Raman spectroscopy (SERS) has been demonstrated as an effective method for elucidating secondary structural characteristics of DNA. However, the inherent complexity of the DNA conformation and the lack of SERS samples pose challenges for identifying numerous secondary structures. To address these issues, a synergistic method integrating machine learning with SERS was proposed so as to analyze the SERS spectra of 54 well-defined conformational oligonucleotides, namely, G-quadruplex (G4), i-motif (iM), double-strand (DS), and single-strand (SS) configurations. Principal component analysis (PCA) effectively segregated the oligonucleotides into three distinct conformational groups (G4s, iMs, and others). Furthermore, linear discriminant analysis (LDA), K-nearest neighbor (KNN), and support vector machine (SVM) approaches were utilized to improve the typing accuracy of 54 trained sequences. This enabled the correct classification of the structures of five untrained sequences, as well as the identification of the predominant conformations including G4, iM, and DS formed by two complementary G-rich and C-rich sequences in acidic and neutral pH conditions. The results of this study demonstrated the potential of the proposed methodology for rapid screening and prediction of secondary DNA conformations.

Emerging affinity methods for protein-drug interaction analysis

The study of protein-drug interaction plays a crucial role in understanding drug mechanisms, identifying new drug targets and biomarkers, and facilitating drug development and disease treatment. In recent years, significant progress has been made in various protein-drug interaction research methods due to the rapid development and in-depth application of mass spectrometry, nuclear magnetic resonance, Raman spectroscopy, and other technologies. The progress has enhanced the sensitivity, precision, accuracy, and applicability of analytical methods, enabling the establishment of drug-protein interaction networks. This review discusses various emerging research methods, such as native mass spectrometry, infrared spectroscopy, nuclear magnetic resonance and spectrum, biosensor technologies employing surface enhanced Raman, electrochemistry, and magneto resistive signals, as well as affinity magnetic levitation and affinity chromatography. The article also delves into the principles, applications, advantages, and limitations of these technologies.

i-Motif DNA: identification, formation, and cellular functions

An i-motif (iM) is a four-stranded (quadruplex) DNA structure that folds from cytosine (C)-rich sequences. iMs can fold under many different conditions in vitro, which paves the way for their formation in living cells. iMs are thought to play key roles in various DNA transactions, notably in the regulation of genome stability, gene transcription, mRNA translation, DNA replication, telomere and centromere functions, and human diseases. We summarize the different techniques used to assess the folding of iMs in vitro and provide an overview of the internal and external factors that affect their formation and stability in vivo. We describe the possible biological relevance of iMs and propose directions towards their use as target in biology.

Surface-Area Enhanced Raman Spectroscopy of DNA in Porous Silica: A Quantitative and Reproducible Alternative to Plasmonic-Based SERS

Despite the success of surface-enhanced Raman spectroscopy (SERS) for detecting DNA immobilized on plasmonic metal surfaces, its quantitative response is limited by the rapid falloff of enhancement with distance from the metal surface and variations in sensitivity that depend on orientation and proximity to plasmonic "hot spots". In this work, we assess an alternative approach for enhancing detection by immobilizing DNA on the interior surfaces of porous silica particles. These substrates provide over a 1000-fold greater surface area for detection compared to a planar support. The porous silica substrate is a purely dielectric material with randomly oriented internal surfaces, where scattering is independent of proximity and orientation of oligonucleotides relative to the silica surface. We characterize the quantitative response of Raman scattering from DNA in porous silica particles with sequences used in previous SERS investigations of DNA for comparison. The results show that Raman scattering of DNA in porous silica is independent of distance of nucleotides from the silica surface, allowing detection of longer DNA strands with constant sensitivity. The surface area enhancement within particles is reproducible (<4% particle-to-particle variation) owing to the uniform internal pore structure and surface chemistry of the silica support. DNA immobilization with a bis-thiosuccinimide linker provides a Raman-active internal standard for quantitative interpretation of Raman scattering results. Despite the high (30 mM) concentrations of immobilized DNA within porous silica particles, they can be used to measure nanomolar binding affinities of target molecules to DNA by equilibrating a very small number of particles with a sufficiently large volume of low-concentration solution of target molecules.

Characterization of Parallel-Stranded DNA Duplexes by Surface-Enhanced Raman Spectroscopy and Bromide-Modified Gold Nanoparticles

The parallel double-stranded DNA (dsDNA) demonstrates potential utility in molecular biology, diagnosis, therapy, and molecular assembly. However, techniques for the characterization of parallel dsDNA are limited. Here, we demonstrate that a series of intensive characteristic Raman bands of three parallel dsDNAs, which are stabilized by reverse Hoogsteen A+·A+ base pairs or hemiprotonated C+·C, G·G minor groove edge, Hoogsteen A·A base pairs, or Hoogsteen T·A, C+·G base pairs, have been observed by surface-enhanced Raman spectroscopy (SERS) when the gold nanoparticles modified by bromine and magnesium ions (Au BMNPs) were used as substrates. The featured bands can not only accurately discriminate parallel dsDNA from antiparallel one but also identify the strand orientation within dsDNA. The proposed approach will have a significant impact on DNA analysis, especially in the detection and differentiation of various DNA conformations.

DNA induced CTAB-caped gold bipyramidal nanoparticles self-assembly using for Raman detection of DNA molecules

DNA is an indispensable part of metabolism, which affects many important processes in the body, including gene expression, protein synthesis, and drug delivery. Surface-enhanced Raman spectroscopy (SERS) is one of the most important methods used to study the structure and function of DNA and can obtain rich DNA molecular fingerprints. However, it is still a great challenge to use SERS to directly analyze the characteristic Raman signals of the DNA molecule and achieve rapid and simple detection. Hence, a detection platform based on gold bipyramidal nanoparticles (AuNBs) self-assembly that can be directly used for the detection of DNA molecules without the need for additional aggregators and cleaning agents was designed in this study. The original hexadecyltrimethylammonium bromide (CTAB) of AuNBs can be used as the internal standard for DNA quantification without an additional standard. This is the first time that the Raman signals of the analyte molecule can be obtained directly without labels by using the interaction between the molecule and the enhanced substrate. We used this method to capture the original DNA molecules in methylated DNA, serum, and cell metabolites and obtained spectral data processing results using linear discriminant analysis (LDA). This provides new ideas for the digitization of disease treatment and the study of the metabolic processes of life.

Universal Method for Label-Free Detection of Pathogens and Biomolecules by Surface-Enhanced Raman Spectroscopy Based on Gold Nanoparticles

The detection of biomolecules is the key to basic molecular research, diagnostics, drug screening, and other biomedical applications. However, the existing detection techniques can only detect single classes of biomolecules, which warrant the development of a versatile biomolecule detection platform. Here, we developed a universal method for label-free detection of biomolecules via surface-enhanced Raman spectroscopy (SERS) by using sulfhydryl-modified gold nanoparticles as the substrate. The biomolecules can be adsorbed on the surface of gold nanoparticles cleaned by bromide ions to obtain initially enhanced Raman signals, and the aggregator (calcium ion) was further added to form a "hot spot", which enhanced the biomolecular signal again. Through the "two-step enhancement method", we were able to obtain fingerprints of DNA, RNA, amino acids, peptides, proteins, viruses, bacteria, and lipid molecules. This low-toxic, highly sensitive, and widely applicable technique has potential applications in biomedical research, clinical testing, and disease diagnosis and lays the foundation for the development of SERS technology in various fields.

A versatile technique for indiscriminate detection of unlabeled biomolecules via double-enhanced Raman scattering

Surface-enhanced Raman scattering is a rapid, highly sensitive and non-destructive technique, whereas, it was still limited to designing different types of enhancing substrates or using probe molecules to only identify single biomolecules. Especially, some special biomolecules have weak Raman signals in solid state, so it is a huge challenge to obtain their enhanced Raman signals in liquid. To solve the problem, a double-enhanced Raman scattering (DERS) detection platform was developed in this study based on silver nanoparticles that were prepared by using an appropriate amount of sodium borohydride and guided by calcium ions to form good "hot spots". This enabled one to successfully obtain fingerprints of various types of biomolecules under the identical experimental conditions. The addition of sodium borohydride as reducing agent could protect silver nanoparticles from oxidation, and biomolecules were adsorbed on the exposed silver surface and demonstrated their initially enhanced Raman signals. Furthermore, the "hot spots" formed by silver nanoparticles without silver oxide coating could further enhance the Raman signal of biomolecules, making the enhancement factor up to 10 [8]. To sum up, the possibility of fast identification of different species of biomolecules via DERS has wide application prospects in the fields of biomarker detection and medical diagnosis.

Detection of Cell-Derived Exosomes Via Surface-Enhanced Raman Scattering Using Aggregated Silver Nanoparticles

Exosomes are small extracellular vesicles that contain RNA, lipids, and proteins and can act as cellular messengers, carrying information to cells and tissues in the body. Thus, sensitive, label-free, and multiplexed analysis of exosomes may help in early diagnosis of important diseases. Here, we describe the process of pretreatment of cell-derived exosomes, preparation of surface-enhanced Raman scattering (SERS) substrates, and label-free SERS detection of exosomes using sodium borohydride aggregators. This method can enable the observation of SERS signals of exosomes that are clear and stable and have a good signal-to-noise ratio.

Label-Free Detection of DNA via Surface-Enhanced Raman Spectroscopy Using Au@Ag Nanoparticles

DNA is a building block of life; surface-enhanced Raman spectroscopy (SERS) has been broadly applied in the detection of biomolecules but there are challenges in obtaining high-quality DNA SERS signals under non-destructive conditions. Here, we developed a novel label-free approach for DNA detection based on SERS, in which the Au@AgNPs core-shell structure was selected as the enhancement substrate, which not only solved the problem of the weak enhancement effect of gold nanoparticles but also overcame the disadvantage of the inhomogeneous shapes of silver nanoparticles, thereby improving the sensitivity and reproducibility of the SERS signals of DNA molecules. The method obtained SERS signals for four DNA bases (A, C, G, and T) without destroying the structure, then further detected and qualified different specific structures of DNA molecules. These results promote the application of SERS technology in the field of biomolecular detection.

Optimization of Gonyautoxin1/4-Binding G-Quadruplex Aptamers by Label-Free Surface-Enhanced Raman Spectroscopy

Nucleic acids with G-quadruplex (G4) structures play an important role in physiological function, analysis and detection, clinical diagnosis and treatment, and new drug research and development. Aptamers obtained using systematic evolution of ligands via exponential enrichment (SELEX) screening technology do not always have the best affinity or binding specificity to ligands. Therefore, the establishment of a structure-oriented experimental method is of great significance. To study the potential of surface-enhanced Raman spectroscopy (SERS) in aptamer optimization, marine biotoxin gonyautoxin (GTX)1/4 and its G4 aptamer obtained using SELEX were selected. The binding site and the induced fit of the aptamer to GTX1/4 were confirmed using SERS combined with two-dimensional correlation spectroscopy. The intensity of interaction between GTX1/4 and G4 was also quantified by measuring the relative intensity of SERS bands corresponding to intramolecular hydrogen bonds. Furthermore, the interaction between GTX1/4 and optimized aptamers was analyzed. The order of intensity change in the characteristic bands of G4 aptamers was consistent with the order of affinity calculated using microscale thermophoresis and molecular dynamics simulations. SERS provides a rapid, sensitive, and economical post-SELEX optimization of aptamers. It is also a reference for future research on other nucleic acid sequences containing G4 structures.

Accurate assembly and direct characterization of DNA nanogels crosslinked by G-quadruplex, i-motif and duplex with surface-enhanced Raman spectroscopy

The direct characterization of DNA nanogels at the atomic level is desirable and of great significance, however, has been challenging because of structural complexity and the larger size of nanogels. Herein, we demonstrated a simple, sensitive and reliable SERS (Surface-enhanced Raman spectroscopy)-based approach towards direct monitoring microstructures, such as three types of nanogels crosslinked by DNA G-quadruplex, i-motif and GC duplex. The achievement is attributed to the detection of featured Raman bands corresponding to the formation of Watson-Crick and Hoogsteen hydrogen bonds as well as C·C⁺ base pairs. Importantly, this work reveals that the silver nanoparticles attaching on the surface of nanogels can form local 'hotspots' and produce high-quality of Raman spectra under the assistance of iodide, aluminum ions and dichloromethane, therefore, shows great potential for wide applications in accurate characterization of various DNA nanostructures.

Revealing the effect of intramolecular interactions on DNA SERS detection: SERS capability for structural analysis

Intramolecular interactions are key factors for constructing the secondary conformations of biomolecules and they are also vital for biomolecular functions. Their effect on the surface-enhanced Raman spectroscopy (SERS) spectra is also important for reliable label-free detection. The current work focuses on three GCGC-quadruplexes as model molecules for SERS studies, which contain both the G-quartet and the GCGC-quartet. Their spectra are compared with the ones of the G-quadruplex and the duplex. The present work presents the specific effect of intramolecular interactions, including various Watson-Crick and Hoogsteen hydrogen bonds as well as base stacking, on the SERS signals of closely-related secondary conformations. The overall results indicated a significant influence on the direct label-free detection of DNA molecules and the SERS capability for secondary structural analysis.

Surface enhanced Raman scattering for probing cellular biochemistry

Surface enhanced Raman scattering (SERS) from biomolecules in living cells enables the sensitive, but also very selective, probing of their biochemical composition. This minireview discusses the developments of SERS probing in cells over the past years from the proof-of-principle to observe a biochemical status to the characterization of molecule-nanostructure and molecule-molecule interactions and cellular processes that involve a wide variety of biomolecules and cellular compartments. Progress in applying SERS as a bioanalytical tool in living cells, to gain a better understanding of cellular physiology and to harness the selectivity of SERS, has been achieved by a combination of live cell SERS with several different approaches. They range from organelle targeting, spectroscopy of relevant molecular models, and the optimization of plasmonic nanostructures to the application of machine learning and help us to unify the information from defined biomolecules and from the cell as an extremely complex system.

Conformational plasticity of DNA secondary structures: probing the conversion between i-motif and hairpin species by circular dichroism and ultraviolet resonance Raman spectroscopies

The promoter regions of important oncogenes such as BCL2 and KRAS contain GC-rich sequences that can form distinctive noncanonical DNA structures involved in the regulation of transcription: G-quadruplexes on the G-rich strand and i-motifs on the C-rich strand. Interestingly, BCL2 and KRAS promoter i-motifs are highly dynamic in nature and exist in a pH-dependent equilibrium with hairpin and even with hybrid i-motif/hairpin species. Herein, the effects of pH and presence of cell-mimicking molecular crowding conditions on conformational equilibria of the BCL2 and KRAS i-motif-forming sequences were investigated by ultraviolet resonance Raman (UVRR) and circular dichroism (CD) spectroscopies. Multivariate analysis of CD data was essential to model the presence and identity of the species involved. Analysis of UVRR spectra measured as a function of pH, performed also by the two-dimensional correlation spectroscopy (2D-COS) technique, showed the role of several functional groups in the DNA conformational transitions, and provided structural and dynamic information. Thus, the UVRR investigation of intramolecular interactions and of local and environmental dynamics in promoting the different species induced by the solution conditions provided valuable insights into i-motif conformational transitions. The combined use of the two spectroscopic tools is emphasized by the relevant possibility of working in the same DNA concentration range and by the heterospectral UVRR/CD 2D-COS analysis. The results of this study shed light on the factors that can influence at the molecular level the equilibrium between the different conformational species putatively involved in the oncogene expression.

Surface-enhanced Raman spectroscopy detection of organic molecules and in situ monitoring of organic reactions by ion-induced silver nanoparticle clusters

Surface-enhanced Raman spectroscopy (SERS) finds wide applications in the field of organic molecule detection. However, reliable SERS detection of organic molecules and in situ monitoring of organic reactions under natural conditions by metal colloids are still challenging due to the formation of unstable nanoparticle clusters in solution and the low solubility of the organic molecules. Here, we approach the problems by introducing calcium ions to aggregate silver nanoparticles to form stable hot spots and acetone to promote uniform distribution of organic molecules on the nanoparticle surface. Significantly, our method exhibits stable SERS detection of up to 6 types of organic molecules in liquid. With acetone signals as an internal standard, we are able to determine molecule concentrations as well as monitor 3 kinds of organic reactions in situ. Our method shows potential for biomedical analysis, environmental analysis, and organic catalysis research.

Optimization of Surface-Enhanced Raman Spectroscopy Detection Conditions for Interaction between Gonyautoxin and Its Aptamer

This study aimed to optimize the detection conditions for surface-enhanced Raman spectroscopy (SERS) of single-stranded DNA (ssDNA) in four different buffers and explore the interaction between gonyautoxin (GTX1/4) and its aptamer, GO18. The influence of the silver colloid solution and MgSO₄ concentration (0.01 M) added under four different buffered conditions on DNA SERS detection was studied to determine the optimum detection conditions. We explored the interaction between GTX1/4 and GO18 under the same conditions as those in the systematic evolution of ligands by exponential enrichment technique, using Tris-HCl as the buffer. The characteristic peaks of GO18 and its G-quadruplex were detected in four different buffer solutions. The change in peak intensity at 1656 cm⁻¹ confirmed that the binding site between GTX1/4 and GO18 was in the G-quadruplex plane. The relative intensity of the peak at 1656 cm⁻¹ was selected for the GTX1/4–GO18 complex (I₁₆₅₆/I₁₀₉₉) to plot the ratio of GTX1/4 in the Tris-HCl buffer condition (including 30 μL of silver colloid solution and 2 μL of MgSO₄), and a linear relationship was obtained as follows: Y = 0.1867X + 1.2205 (R² = 0.9239). This study provides a basis for subsequent application of SERS in the detection of ssDNA, as well as the binding of small toxins and aptamers.

SERS-based DNA methylation profiling allows the differential diagnosis of malignant lymphadenopathy

This study highlights the potential of surface-enhanced Raman scattering (SERS) to differentiate between B-cell lymphoma (BCL), T-cell lymphoma (TCL), lymph node metastasis of melanoma (Met) and control (Ctr) samples based on the specific SERS signal of DNA extracted from lymph node tissue biopsy. Differences in the methylation profiles as well as the specific interaction of malignant and non-malignant DNA with the metal nanostructure are captured in specific variations of the band at 1005 cm^-1, attributed to 5-methylcytosine and the band at 730 cm^-1, attributed to adenine. Thus, using the area ratio of these two SERS marker bands as input for univariate classification, an area under the curve (AUC) of 0.70 was achieved in differentiating between malignant and non-malignant DNA. In addition, DNA from the BCL and TCL groups exhibited differences in the area of the SERS band at 730 cm^-1, yielding an AUC of 0.84 in differentiating between these two lymphadenopathies. Lastly, using multivariate data analysis techniques, an overall accuracy of 94.7% was achieved in the differential diagnosis between the BCL, TCL, Met and Ctr groups. These results pave the way towards the implementation of SERS as a novel tool in the clinical setting for improving the diagnosis of malignant lymphadenopathy.

Adenine shares the plane with G-quartet detected by surface-enhanced Raman spectroscopy

DNA G-quadruplexes (G4s) formed by guanine(G)-rich sequences show diversity of structural topologies. The detection of structural details is of great significance for understanding of their functions and for the target drug design, but is very challenging. Herein, we demonstrate that the surface-enhanced Raman spectroscopy (SERS) via Ag IANPs as substrates is able to identify the numbers of Adenine (A) located on the G-quartet of the G4s. Eight G4s are selected for SERS studies. Besides the detection of series of characteristic bands indicating the formation of G4s, the intensity of the band represented A base ring breath (ν_A, ~733 cm^-1) is observed particularly enhanced when there are A bases coplanar with G-quartet, and which is higher than the intensity of the band corresponding to G base ring breath (ν_G, ~655 cm^-1). Furthermore, the band intensity ratio of ν_A to ν_G versus the ratio of the numbers of A on the plane to the sum of numbers of A and G shows very good linear relationship. Thus, based on the band intensities of ν_A to ν_G and their ratio in the SERS spectrum, the G-quadruplexes with or without a coplanar A base and numbers of A bases on the plane of G-quartet can be facilely identified. The method is simple, fast, low cost and sensitive to provide particular details of the structure in aqueous solution, therefore, implies widespread applications.

Iodide-modified Ag nanoparticles coupled with DSN-Assisted cycling amplification for label-free and ultrasensitive SERS detection of MicroRNA-21

With the emergence of microRNA (miRNA) as a key player in early clinical disease diagnosis, development of rapidly sensitive and quantitative miRNA detection methods are imperative. Herein, a label-free SERS assay coupled with duplex-specific nuclease (DSN) signal amplification strategy was proposed for facilely ultrasensitive and quantitative analysis of miRNA-21. Firstly, magnetic beads assembled with excessive capture DNA were utilized to hybridize the target miRNA-21. These DNA-RNA heteroduplexes were cleaved by DSN to generate small nucleotide fragments into the supernatant and the miRNA-21 released and rehybridized another DNA, going to the next DSN cycle. Consequently, numerous of small nucleotide fragments of capture DNA were released from magnetic beads and the miRNA-21 signal was transferred and amplified by the SERS signals of total phosphate backbones which are abundant in nucleotide. Furthermore, iodide-modified Ag nanoparticles (AgINPs) was employed to generate a strong and reproducible SERS signal. The proposed method displayed excellent performance for miRNA-21 detection with the linear range from 0.33 fM to 3.3 pM, and a lower detection limit of 42 aM. Moreover, this strategy exhibited effectively base discrimination capability and was successfully applied for monitoring the expression levels of miRNA-21 in different cancer cell lines and human serum.

DNA Studies: Latest Spectroscopic and Structural Approaches

This review looks at the different approaches, techniques, and materials devoted to DNA studies. In the past few decades, DNA nanotechnology, micro-fabrication, imaging, and spectroscopies have been tailored and combined for a broad range of medical-oriented applications. The continuous advancements in miniaturization of the devices, as well as the continuous need to study biological material structures and interactions, down to single molecules, have increase the interdisciplinarity of emerging technologies. In the following paragraphs, we will focus on recent sensing approaches, with a particular effort attributed to cutting-edge techniques for structural and mechanical studies of nucleic acids.

A new method towards the detection of DNA mutation by Surface-Enhanced Raman Spectroscopy

It is generally believed that the self-folding of single-stranded DNA depends on the hydrophobic effect of its internal bases, but the folding of a single-stranded DNA in a solution was not disordered and would be affected by the stacking effect of adjacent bases. In this work, we developed a new method to explore the stacking between adjacent bases using Surface-Enhanced Raman Spectroscopy (SERS) for the first time. Acidic titanium ions were introduced into silver nanoparticles as an aggregating agent (Ag@ITNPs), and obtained a symmetrical spectrum by normalizing the peak to deoxyribose at 955 cm^-1. Based on the influence of adjacent base stacking on the spectrum, we first identified the point mutation sites accurately by SERS. Also, the base content and the DNA frameshift mutations in ssDNA were precisely analyzed. This new method has a simple experimental process and can accurately capture the changes in the base ring breathing peak intensity caused by different adjacent bases, and thus will provide potential application value in the field of gene diagnosis.

Crocein Orange G mediated detection and modulation of amyloid fibrillation revealed by surface-enhanced Raman spectroscopy

Protein fibrous aggregation is associated with many neurodegenerative diseases including Alzheimer's and Parkinson's diseases. To modulate the process, a number of fibrillation inhibitors have been reported, although their working mechanism remains vague, calling for new means to decipher their interaction. Herein, we identified and characterized a novel inhibitor called Crocein Orange G (COG), which inhibited the nucleation and impeded the protofibril formation, revealed by various experimental approaches as well as molecular docking. In particular, the surface-enhanced Raman spectroscopy (SERS) helps to identify the binding sites and illustrate the interaction mechanism and fibrillation process by using Ag IMNPs as SERS substrate for a label-free detection. Combining with molecular docking, the SERS-based approach provides structural information concerning protein-ligand interaction and protein fibrillation. This study suggests that SERS can be a powerful new means to study the interaction between inhibitors and amyloid proteins and can potentially be a common tool for amyloid research. Strikingly, the SERS signal of COG corresponds very well with the state of protein fibrillation, hinting its function as an amyloid SERS signal amplifier. Therefore, this study provides a new means to monitor and interfere amyloid fibrillation.

Wrinkled metal based quantum sensor for In vitro cancer diagnosis

This article presents a unique 3D biocompatible Aluminum-based quantum structure (QS) for in vitro cancer detection using Surface Enhanced Raman Scattering (SERS). The Al-based QSs fabricated using ultrashort pulsed laser are of two distinct surface characters, wrinkled and smooth spherical. The limit of detection for chemical sensing of Crystal Violet and Rhodamine 6G by the Al-QS was driven up to single molecule sensing (femtomolar concentration). Biological sensing of cysteine, a disease biomarker and carcinoembryonic antigen (CEA), a cancer biomarker was also tested by the Al-QS. The ability of in vitro cell detection using Al-QS was analyzed with three cell lines, mammalian fibroblast and pancreatic and lung cancer cells. The Al-QS were up taken by the cells through label-free self-internalization and were sensed by SERS. Further assay was performed to differentiate cancerous and non-cancerous cells by measuring lipid and protein peak intensity within the cells. The result of this research indicated that SERS based Al-QS could be a suitable candidate for the early diagnosis of cancer.

Direct Approach toward Label-Free DNA Detection by Surface-Enhanced Raman Spectroscopy: Discrimination of a Single-Base Mutation in 50 Base-Paired Double Helixes

Surface-enhanced Raman spectroscopy (SERS) has exhibited great potential in label-free DNA detection. Owing to the limitation in chain length, it is however still challenging for SERS as a routine method to explore the intrinsic structural information on unmodified DNA. Here, we develop a universal SERS-based approach toward quantification of A/G in single-stranded DNAs (12 up to 28 bases) by introducing a novel interfacial agent, dichloromethane. DNA hybridization is successfully probed as evidenced by the typical SERS bands attributed to hydrogen bonds in a hairpin structure. More importantly, enlarged space of "hot spots" in SERS enables discrimination of single-base mutation in double-stranded DNA with 100 bases, which as a proof-of-concept study will pave a new avenue for highly sensitive DNA detection in clinical applications.

Base-Pair Contents and Sequences of DNA Double Helices Differentiated by Surface-Enhanced Raman Spectroscopy

Direct, label-free sequence analysis of DNA hybridization has been achieved by surface-enhanced Raman spectroscopy. In this work, aluminum-ion-aggregated and iodide-modified silver nanoparticles were used as substrates to obtain Raman spectra of the DNA strands with the same base composition but different sequences, which form random coils or various hairpin conformations. Upon DNA hybridization, reproducibly enhanced bands were easily observed, corresponding well to the formation of Watson-Crick hydrogen bonds, base ring breathing vibrations, and hairpin loops. These characteristic bands can be used to unambiguously distinguish the hairpins from the random DNA conformation. Moreover, by using the deoxyribose band (959 cm^-1) as an internal standard to normalize the characteristic bands at 1703 cm^-1 corresponding to the dG ν_C=O H bond, the guanine-cytosine base-pair contents and sequence in DNA hairpins can be accurately measured. Applying this method, a single base mutation in a functional double helix was confidently identified.

Advances in surface-enhanced Raman spectroscopy (SERS) substrates for lipid and protein characterization: sensing and beyond

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.

Structural characteristics requisite for the ligand-based selective detection of i-motif DNA

A new approach has been explored to detect i-motif DNA structures over its complementary GQ DNA based on the hemi-protonated cytosine–cytosine (C⁺–C) base pairing recognition. This approach also shows its versatility by detecting various i-motif DNA structures with different chain lengths, molecularity and sizes, etc.

Structural Features of DNA G-Quadruplexes Revealed by Surface-Enhanced Raman Spectroscopy

Surface-enhanced Raman spectroscopy (SERS) has been successfully used for the label-free detection of single-stranded oligonucleotides. However, the detection of complex DNA secondary structures remains a challenge. Structural features of diverse DNA G-quadruplexes were investigated via a novel SERS method. As a result, a series of highly reproducible and sensitive SERS signatures featuring the structures of G-quadruplexes were obtained. For the first time, we reported remarkably enhanced SERS bands corresponding to purine ring breathing vibrations. Moreover, we observed that by measuring the intensity of the bands corresponding to intramolecular hydrogen bonds, we could quantitatively assess the stability of the G-quadruplexes. Because no labels on DNA strands were present as the experiments were carried out in the solution, the fingerprint peaks reflect the native, internal structure of the G-quadruplexes accurately. The method here detailed provides new insights into the promising applications of diverse DNA structural studies.

Direct surface-enhanced Raman scattering (SERS) spectroscopy of nucleic acids: from fundamental studies to real-life applications

In this tutorial review, we summarize and discuss the most recent cutting-edge research in the field of direct surface-enhanced Raman scattering (SERS) analysis of nucleic acids.