Quartz Crystal Microbalance Chip Research Articles

Template bacteria-free fabrication of surface imprinted polymer-based biosensor for E. coli detection using photolithographic mimics: Hacking bacterial adhesion

As one class of molecular imprinted polymers (MIPs), surface imprinted polymer (SIP)-based biosensors show great potential in direct whole-bacteria detection. Micro-contact imprinting, that involves stamping the template bacteria immobilized on a substrate into a pre-polymerized polymer matrix, is the most straightforward and prominent method to obtain SIP-based biosensors. However, the major drawbacks of the method arise from the requirement for fresh template bacteria and often non-reproducible bacteria distribution on the stamp substrate. Herein, we developed a positive master stamp containing photolithographic mimics of the template bacteria (E. coli) enabling reproducible fabrication of biomimetic SIP-based biosensors without the need for the “real” bacteria cells. By using atomic force and scanning electron microscopy imaging techniques, respectively, the E. coli-capturing ability of the SIP samples was tested, and compared with non-imprinted polymer (NIP)-based samples and control SIP samples, in which the cavity geometry does not match with E. coli cells. It was revealed that the presence of the biomimetic E. coli imprints with a specifically designed geometry increases the sensor E. coli-capturing ability by an “imprinting factor” of about 3. These findings show the importance of geometry-guided physical recognition in bacterial detection using SIP-based biosensors. In addition, this imprinting strategy was employed to interdigitated electrodes and QCM (quartz crystal microbalance) chips. E. coli detection performance of the sensors was demonstrated with electrochemical impedance spectroscopy (EIS) and QCM measurements with dissipation monitoring technique (QCM-D).

Real-time monitoring of dephosphorylation process of phosphopeptide and rapid assay of PTP1B activity based on a 100 MHz QCM biosensing platform

The misregulation of protein phosphatases is a key factor in the development of many human diseases, notably cancers. Here, based on a 100 MHz quartz crystal microbalance (QCM) biosensing platform, the dephosphorylation process of phosphopeptide (P-peptide) caused by protein tyrosine phosphatase 1B (PTP1B) was monitored in real time for the first time and PTP1B activity was assayed rapidly and sensitively. The QCM chip, coated with a gold (Au) film, was used to immobilized thiol-labeled single-stranded 5′-phosphate-DNAs (P-DNA) through Au–S bond. The P-peptide, specific to PTP1B, was then connected to the P-DNA via chelation between Zr4+ and phosphate groups. When PTP1B was injected into the QCM flow cell where the P-peptide/Zr4+/MCH/P-DNA/Au chip was placed, the P-peptide was dephosphorylated and released from the Au chip surface, resulting in an increase in the frequency of the QCM Au chip. This allowed the real-time monitoring of the P-peptide dephosphorylation process and sensitive detection of PTP1B activity within 6 min with a linear detection range of 0.01–100 pM and a detection limit of 0.008 pM. In addition, the maximum inhibitory ratios of inhibitors were evaluated using this proposed 100 MHz QCM biosensor. The developed 100 MHz QCM biosensing platform shows immense potential for early diagnosis of diseases related to protein phosphatases and the development of drugs targeting protein phosphatases.

A Novel Molecularly Imprinted Quartz Crystal Microbalance Sensor Based on Erbium Molybdate Incorporating Sulfur-Doped Graphitic Carbon Nitride for Dimethoate Determination in Apple Juice Samples.

Dimethoate (DIM) as an organophosphorus pesticide is widely utilized especially in the cultivation of vegetables and fruits due to its killing effect on harmful insects. However, unconscious use of DIM in large amounts can also cause serious health problems. For these reasons, rapid and reliable detection of DIM from food samples is significant. In this study, a novel quartz crystal microbalance (QCM) sensor based on erbium molybdate incorporating sulfur-doped graphitic carbon nitride (EM/S-g-C3N4) and a molecularly imprinting polymer (MIP) was designed for DIM detection in apple juice samples. Firstly, an EM/S-g-C3N4 nanocomposite with high purity was prepared under hydrothermal conditions at high temperatures over a long period of time. After the modification of the EM/S-g-C3N4 nanocomposite on a QCM chip, the polymerization solution including N,N'-azobisisobutyronitrile (AIBN) as an initiator, ethylene glycol dimethacrylate (EGDMA) as a cross-linker, methacryloylamidoglutamic acid (MAGA) as a monomer, and DIM as an analyte was prepared. Then, the polymerization solution was dropped on an EM/S-g-C3N4 nanocomposite modified QCM chip and an ultraviolet polymerization process was applied for the formation of the DIM-imprinted polymers on the EM/S-g-C3N4 nanocomposite modified QCM chip. After the polymerization treatment, some characterization studies, including electrochemical, microscopic, and spectroscopic methods, were performed to illuminate the surface properties of the nanocomposite and the prepared QCM sensor. The values of the limit of quantification (LOQ) and the detection limit (LOD) of the prepared QCM sensor were as 1.0 × 10-9 M and 3.3 × 10-10 M, respectively. In addition, high selectivity, stability, reproducibility, and repeatability of the developed sensor was observed, providing highly reliable analysis results. Finally, thanks to the prepared sensor, it may be possible to detect pesticides from different food and environmental samples in the future.

Ion-Imprinted Polymer-Based Sensor for the Detection of Mercury Ions.

In this work, the development of a novel method for the detection of mercury (II) ions in wastewater using a mercury ion-imprinted polymer (IIP) combined with a quartz crystal microbalance (QCM) is described. The IIP was successfully synthesized via the polymerization of a of a novel fluorescein- and 2-aminophenol-functionalized methacrylic acid monomer, which was noted to have high binding affinity to mercury (II) ions. This polymer was subsequently coated on a QCM chip to create an IIP-QCM sensor. This sensor was established to have high selectivity and good sensitivity to mercury (II) ions, and had a limit of detection (LOD) of 14.17 ppb, a limit of quantification (LOQ) of 42.94 ppb, a signal-to-noise ratio (S/N) of 4.29, good repeatability, and a working range of 42.94 ppb to 2 ppm. The sensor was also able to analyze tap water and wastewater samples. The IIP-QCM is, therefore, promising as a highly selective, cost-effective, and rapid mercury ion sensor for applications involving the detection of mercury in wastewater.

L-lysine biodetector based on a TOCNFs-coated Quartz Crystal Microbalance (QCM)

Developing a simple, cost effective and accurate detection method for L-lysine (Lys), L-leucine (Leu) and glycine (Gly) as the important analytes in clinical diagnostics, biological processes and food industries is of great significance. Herein, we prepared spin-coated TEMPO-oxidized cellulose nanofibrils (TOCNFs) on Quartz Crystal Microbalance (QCM) chip to achieve QCM biodetectors. The coated QCMs were carefully characterized before and after interaction with amino acids (AA) using water contact angle (WCA), Fourier transform infrared spectrophotometry-attenuated total reflectance (FTIR-ATR), Raman spectroscopy, and scanning electron microscopy (SEM). In addition, to study the response of the fully covered QCM chips to the aqueous AA, the frequency reductions of the detectors in proportion to different AA concentrations (10–1000 μg/mL) were recorded. The data showed a linear range of detection R2 = 0.9987, 0.9933, 0.9833 and a calculated limit of detection (LOD) equal to 49, 113 and 178 µg/ml for Lys, Gly and Leu, respectively. We observed the highest frequency shifts (the strongest interaction with TOCNFs) for Lys detection while response to Leu was negligible.

Online Quartz Crystal Microbalance Analyzing Device of Mass Concentration of Formaldehyde Gas Based On FPGA

As one of the main indoor gas pollutants, formaldehyde gas (HCHO) seriously threatens human health and ranks second among toxic chemicals in China. In order to monitor the concentration of formaldehyde in the environment in real time, an online Quartz Crystal Microbalance (QCM) analyzing device based on FPGA is developed in this paper. This device is composed of QCM sensor module and FPGA signal processor. Firstly, graphene oxide film is prepared on QCM chip to adsorb formaldehyde, which causes the change of resonance frequency. Secondly, to monitor the quality of adsorbed formaldehyde through frequency change, FPGA signal processor is mainly integrated with Direct Digital Synthesis module, Analogue-to-Digital Conversion module, Low-Pass Filter module and Frequency Domain Analysis module. These modules have the characteristics of high speed, low power consumption and parallel processing, which provide the best solution for the online implementation of the analyzing device. Finally, the standard gas experiment shows that the device is feasible and reliable for the analysis of formaldehyde gas mass concentration, with a resolution of about 10 counts per 1% concentration.

Detachable all-carbon-linked 3D covalent organic framework films for semiconductor/COF heterojunctions by continuous flow synthesis

Detachable all-carbon-linked 3D covalent organic framework films for semiconductor/COF heterojunctions by continuous flow synthesis

Selective isolation and sensitive detection of lysozyme using aptamer based magnetic adsorbent and a new quartz crystal microbalance system

Magnetic chitosan beads and quartz crystal microbalance chip were decorated with lysozyme specific aptamer for isolation and detection of lysozyme, respectively. The lysozyme specific aptamer was immobilized on poly (dopamine) coated magnetic chitosan beads and the chip via Schiff base reaction. The percentage of the removal efficiency and purity of the isolated lysozyme from egg white were 87.6% and 91.8%, respectively. Further, the sensor system was contacted with different concentrations of lysozyme and other test proteins. This sensor system provided a method for the label-free, concentration-dependent, and selective detection of lysozyme with an observed detection limit of 17.9 ± 0.6 ng/mL. The sensor system was very selective and not significantly responded to the other tested proteins such as ovalbumin, trypsin, cytochrome C, and glucose oxidase. The prepared new sensor system showed a good durability and a high sensitivity for determination of lysozyme from solutions and whole egg white.

Design of molecularly imprinted sensor for detection of typhoid using immunoinformatics and molecular imprinting

Typhoid disease caused by the bacterium Salmonella typhi becomes fatal if not treated timely. To expedite its timely and accurate diagnosis at an early stage, a biomimetic sensor based on epitope imprinting technique is developed for the detection of typhoid. Epitope sequence of Salmonella invasive protein D (SipD) was predicted using immunoinformatic tools and utilized for imprinting. A molecularly imprinted matrix was developed on the surface of quartz crystal microbalance chip through electropolymerization in presence of template - a 14-mer synthetic peptide predicted. Binding of ∼ −3000 Hz from the blood plasma sample of infected persons showed the selectivity of imprinted sites towards the SipD proteins of bacteria. The sensor was able to detect bacteria at an early stage with an LOD value of 0.50 (ng/ml). On extraction of the peptide sequence, imprinted cavities were able to selectively and specifically bind targeted epitope sequences in laboratory samples as well as ‘real’ samples of patients. An accurate, robust, cost-effective, facile diagnostic tool to aid the healthcare industry is presented here.

Preparation of a Molecularly Imprinted Film on Quartz Crystal Microbalance Chip for Determination of Furanic Compounds

The structural preferences of furanic compounds were studied using a combination of a molecularly imprinted film (MIF) on a piezoelectric-quartz chip. The furanic compounds and their derivatives were used as the templates. Owing to their similar heterocyclic structures, it is difficult to verify the structural differences between the templates. Therefore, a new cross-linker (Methacr-l-Cys-NHBn)2, was employed to generate a platform on a quartz crystal microbalance (QCM) chip. The cross-linker self-assembled to link the surface of the chip to copolymerize with other functional monomers. A layered film with chiral hydrophobicity and rigidity was thus fabricated. Subsequently, Acr-l-Ser-NHBn was utilized as a chiral monomer to construct MIF on a QCM chip. Forcomparison, we synthesized a more hydrophobic monomer, Methacr-l-Ser-NHBn, to enhance the binding ability of the MIF. The QCM flow injection system was handled in an organic solvent system. The proportion of the monomers was adjusted to optimize the recognition ability of these films. As the binding ability of the MIF toward model templates and structurally-related furanic compounds was improved, a MIF derived from 2-furaldehyde (FUL) achieved a lower detection limit (10 ng/mL). The binding properties of MIFs prepared against furanic compounds exhibited strong similarities to the binding properties of other compounds with heterocyclic ring structures. For example, 2-furaldehyde is very similar to 2-formylthiazole, 2-acetylfuran is similar to 2-acetylthiazole, and 2-furfuryl alcohol is similar to imidazole-2-methanol. Such recognition ability can help distinguish between the structural counterparts of other small heterocyclic compounds.

Preparation of Notch-4 Receptor Containing Quartz Crystal Microbalance Biosensor for MDA MB 231 Cancer Cell Detection.

Quartz crystal microbalance (QCM) is a highly sensitive system thatis used as a biosensor for biomolecules and cells. Detection and characterization of cancer cells in circulation or biopsy samples is of crucial importance for cancer diagnosis. Here, we introduce approaches for breast cancer cell detection via their surface molecules. The sensor system is based on preliminary coating of QCM chip with polymeric nanoparticles to increase the surface area and allow for the attachment of proteins to the chip surface. This is followed by the attachment of a specific protein in order to functionalize the chip. Breast cancer cells and fibroblast cells as control are cultured and applied to this chip. The functionalized QCM system candetect breast cancer cells with high affinity and selectivity. Here, we present the preparation methods of QCM-based sensors for selective detection of MDA MB 231 cancer cells. Selectivity of QCM-based sensor is carried out in the presence of L929 mouse fibroblast cells.

A recyclable bipyridine-containing covalent organic framework-based QCM sensor for detection of Hg(II) ion in aqueous solution

It is well known that Hg(II) ion is one of the most toxic chemical species in the environment, thus developing new sensors for recyclable detection of Hg(II) with excellent sensitivity and selectivity is highly desirable. Herein, a new bipyridine-containing hydrazone-linked covalent organic framework (COF), termed Bpda-Bth COF, is synthesized using 2,2'-bipyridine-5,5'-dicarbaldehyde (Bpda) and benzene-1,3,5-tricarbohydrazide (Bth) as building blocks. Given that the obtained Bpda-Bth COF possesses good crystallinity, high chemical stability and rich functional N,N’-chelating sites from the bipyridine units, a novel COF-based quartz crystal microbalance (QCM) sensor, which can be prepared by the in-situ growth of Bpda-Bth COF on the amino-modified QCM chip, is developed for the determination of Hg(II) ion in aqueous solution. Remarkably, the resulting Bpda-Bth COF-based QCM sensor can monitor Hg(II) ion in real-time and online with excellent selectivity, relatively low detection limit (58 ​nM) and good recyclability (at least five cycles). Moreover, fluorescence spectroscopy, X-ray photoelectron spectroscopy and zeta potential measurements are further conducted, which indicate that the highly sensitive and selective detection of the COF-based QCM sensor toward Hg(II) is assignable to the specific coordination interaction between Hg(II) ion and the N,N’-chelating sites in the pore wall of the bipyridine-containing Bpda-Bth COF. To the best of our knowledge, this is the first report on the development of COF-based QCM sensor for detecting Hg(II) ion. Our work demonstrates that COFs with specific functional sites can be designed and used as ideal sensing materials to fabricate novel QCM sensors for the targeted detection of metal ions.

Quantitative Assessment of Periodontal Bacteria Using a Cell-Based Immunoassay with Functionalized Quartz Crystal Microbalance

Periodontal disease is an inflammatory disorder that is triggered by bacterial plaque and causes the destruction of the tooth-supporting tissues leading to tooth loss. Several bacteria species, including Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans, are considered to be associated with severe periodontal conditions. In this study, we demonstrated a quartz crystal microbalance (QCM) immunoassay for quantitative assessment of the periodontal bacteria, A. actinomycetemcomitans. An immunosensor was constructed using a self-assembled monolayer of 11-mercaptoundecanoic acid (11-MUA) on the gold surface of a QCM chip. The 11-MUA layer was evaluated using a cyclic voltammetry technique to determine its mass and packing density. Next, a monoclonal antibody was covalently linked to 11-MUA using 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide to act as the biorecognition element. The specificity of the monoclonal antibody was confirmed by an enzyme-linked immunosorbent assay. A calibration curve, for the relationship between the frequency shifts and number of bacteria, was used to calculate the number of A. actinomycetemcomitans bacteria in a test sample. Based on a regression equation, the lower detection limit was 800 cells, with a dynamic range up to 2.32 × 106 cells. Thus, the QCM biosensor in this study provides a sensitive and label-free method for quantitative analysis of periodontal bacteria. The method can be used in various biosensing assays for practical application and routine detection of periodontitis pathogens.

Quartz Crystal Microbalance (QCM) Based Biosensor Functionalized by HER2/neu Antibody for Breast Cancer Cell Detection

The heterogeneity and metastatic features of cancer cells lead to a great number of casualties in the world. Additionally, its diagnosis as well as its treatment is highly expensive. Therefore, development of simple but effective diagnostic systems which detect the molecular markers of cancer is of great importance. The molecular changes on cancer cell membranes serve as targets, such as HER2/neu receptor which is detected on the surface of highly metastatic breast cancer cells. We have aimed to develop a specific and simple quartz crystal microbalance (QCM)-based system to identify HER2/neu expressing breast cancer cells via a receptor-specific monoclonal antibody. First, the QCM chip was coated with polymeric nanoparticles composed of hydroxyethylmethacrylate (HEMA) and ethylene glycol dimethacrylate (EDMA). The nanoparticle coated QCM chip was then functionalized by binding of HER2/neu antibody. The breast cancer cells with/without HER2/neu receptor expression, namely, SKBR3, MDA-MB 231 and also mouse fibroblasts were passed over the chip at a rate of 10–500 cells/mL and the mass changes (Δm) on cell/cm2 unit surface of sensor were detected in real-time. The detection limit of the system was 10 cells/mL. Thus, this QCM-based HER2/neu receptor antibody functionalized system might be used effectively in the detection of HER2/neu expressing SKBR3 breast cancer cells.

Development of Molecularly Imprinted Quartz Crystal Microbalance (QCM) Sensor Including Two-Dimensional Hexagonal Boron Nitride (2D-hBN) Nanosheets and its Application to Ascorbic Acid Detection

A new quartz crystal microbalance (QCM) sensor based on two-dimensional hexagonal boron nitride (2D-hBN) nanosheets including molecular imprinted polymers (MIP) was formed for ascorbic acid (AA) sensing. Some characterization methods such as X-ray diffraction (XRD), scanning electron microscopy (SEM), fourier-transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were performed for characterizations of sensor structure. After formation of AA imprinted QCM chip, AA imprinted QCM sensor showed high sensing performance and linear range of 1.00 × 10−10–1.00 × 10−7 M and detection limit (LOD) of 3.0 × 10−11 M were obtained. Finally, AA imprinted sensor was applied to plasma samples for AA analysis.

Detection of amoxicillin residues in egg extract with a molecularly imprinted polymer on gold microchip using surface plasmon resonance and quartz crystal microbalance methods.

In this study, surface plasmon resonance (SPR) and quartz crystal microbalance (QCM) sensors were prepared for the detection of amoxicillin from the commercial and local chicken eggs by using molecular imprinting technique. Amoxicillin imprinted poly(hydroxyethyl methacrylate-methacrylic acid) polymeric film was synthesized onto the surface of the SPR and QCM chips by ultra violet polymerization to determine lower concentrations of amoxicillin. Ellipsometry, contact angle analysis, and atomic force microscopy measurements were used for the surface morphology of the polymeric film layer. The ellipsometric thickness of AMOX imprinted and nonimprinted SPR and QCM chip surfaces were measured as 35 ± 0.9nm,32.89 ± 1.9nm,30 ± 0.6nm, and 28 ± 0.22nm,respectively. Contact angles of bare gold surfaces, AMOX imprinted SPR and QCM chip surfaces were measured to be as 82.3° ± 0.15, 79.2° ± 0.14, 75.01° ± 1.07, and 69.11° ± 0.89, respectively. The range of linearity was measured as 0.1 to 10ng/mL for amoxicillin imprinted SPR and QCM sensors. The maximum residue limit of AMOX in eggs is at 10µg/kg in accordance with the "Positive List System for Agricultural Chemical Residues in Foods." The response time for the test, including adsorption, desorption, and regeneration, was approximately 45min. The limit of detections for SPR and QCM sensors were found to be 0.0005 and 0.0023ng/mL, respectively. The reusabilities of amoxicillin imprinted SPR and QCM sensors were observed by the equilibration-binding-regeneration. Validation studies of the AMOX imprinted SPR and QCM sensors were performed by liquid chromatography-tandem mass spectrometry.

Ultrasensitive Poly(boric acid) Hydrogel-Coated Quartz Crystal Microbalance Sensor by Using UV Pressing-Assisted Polymerization for Saliva Glucose Monitoring.

Quartz crystal microbalance (QCM) has attracted extensive attention in the field of biological analysis and detection because of its high sensitivity, fast response, real-time measurement, good operability, and low-cost production. However, to detect the trace amounts of small molecules, such as low-concentration saliva glucose under physiological conditions, is still a major challenge. Herein, the surface of a QCM chip was coated with a poly(boric acid)-based hydrogel using UV pressing-assisted polymerization to obtain a simple device for glucose detection. The designed QCM sensor shows a record-low detection limit of glucose (3 mg/L at pH 7.5), which is ∼30 times lower than that of sensors fabricated by conventional surface initiation-spin coating. The outperformance of the poly(boric acid) hydrogel-coated QCM sensor is probably due to the uniform and compact microstructure, as well as the presence of sufficient glucose-binding sites resulting from the hydrogel coating generated by UV pressing-assisted polymerization. This method provides an important solution to detect the trace amounts of small organic molecules or ions and has the potential to push forward the practical applications of QCM sensors.

Discrimination of wood borers infested Platycladus orientalis trunks using quartz crystal microbalance gas sensor array

Trunk borers infestation is difficult to detect because larvae always mine inside trees. However, plants volatile organic compounds (PVOCs) usually change markedly after pests damage which provide us an opportunity to identify trunk borers infestation. Herein, a four-element quartz crystal microbalance (QCM) gas sensor array based on molecularly imprinted polymers (MIPs) was reported for the discrimination of Semanotus bifasciatus (Motschulsky) and Phloeosinus aubei Perris (Coleoptera: Scolytidae) infested Platycladus orientalis (L.) Franco trunks. MIPs were prepared using the methacrylic acid (MAA) polymer matrix and four characteristic PVOCs (α-pinene, β-phellandrene, 3-carene and cis-thujopsene) as templates molecules, repectively. The amounts of MIPs dropped on the QCM chips were investigated and optimized according to the sensitivities and response times. Finally, the sensor array was applied to detect PVOCs of P. orientalis trunks with S. bifasciatus and P. aubei infestation, and the response matrix were processed with principal component analysis (PCA) and linear discrimination analysis (LDA) for visualization, and further discrimination was performed by k-nearest neighbor (KNN), probabilistic neural network (PNN) and support vector machine (SVM). SVM exhibited satisfying identification accuracy rates in both calibration set (97.62 %) and validation set (93.75 %). This study may contribute to gas sensor arrays development in areas of pest control and forest protection.

A highly sensitive quartz crystal microbalance sensor modified with antifouling microgels for saliva glucose monitoring.

Saliva glucose detection based on quartz crystal microbalance (QCM) technology has become an important research direction of non-invasive blood glucose monitoring. However, the performance of this label-free glucose sensor is heavily deteriorated by the large amount of protein contaminants in saliva. Here, we successfully achieved the direct detection of saliva glucose by endowing the microgels on the QCM chip with superior protein-resistive and glucose-sensitive properties. Specifically, the microgel networks provide plenty of boric acid binding sites to amplify the signals of targeted glucose. The amino acid layer wrapped around the microgel and crosslinking layer can effectively eliminate the impact of non-specific proteins in saliva. The designed QCM sensor has a good linearity in the glucose concentration range of 0-40 mg L-1 in the pH range of 6.8-7.5, satisfying the physiological conditions of saliva glucose. Moreover, the sensor has excellent ability to tolerate proteins, enabling it to detect glucose in 50% human saliva. This result provides a new approach for non-invasive blood glucose monitoring based on QCM.

Rapid and sensitive detection of synthetic cannabinoids JWH-018, JWH-073 and their metabolites using molecularly imprinted polymer-coated QCM nanosensor in artificial saliva

Synthetic cannabinoids (SCs), which are becoming increasingly popular, are an important public health issue considering the common abuse uses and serious adverse effects associated with intoxication. The analysis for controlling the increase in synthetic cannabinoids usage requires a faster and highly sensitive detection that rapidly developing class compounds. In this study, a piezoelectric nanosensor coated with a synthetic biomimetic recognition nanoparticles polymer was designed for the real-time and highly sensitive synthetic cannabinoids (SCs: JWH-018, JWH-073, JWH-018 pentanoic acid and JWH-073 butanoic acid) detection. Synthetic cannabinoids imprinted (MIP) and non-imprinted (NIP) nanoparticles were synthesized. Firstly, the characterization of MIP and NIP nanoparticles were studied by FTIR-ATR, scanning electron microscope, and size measurements. After, nanoparticles were spread onto a quartz crystal microbalance (QCM) chip. Different QCM chip surfaces were studied by contact angle, ellipsometry, and atomic force microscopy measurements. Selective rebinding of target analytes was monitored as a frequency shift measuring mass change with the QCM. Limit of detection values were calculated as 0.28, 0.3, 0.23, 0.29 pg/mL for these SCs in artificial saliva, respectively. The SCs-MIP QCM nanosensors displayed high sensitivity and selectivity in a wide concentration range of SCs (0.0005–1.0 ng/mL) in artificial saliva.