Quantum Dot-Antibody Conjugates for Immunofluorescence Studies of Biomolecules and Subcellular Structures

A novel fluorescence immunoassay for the quantitative detection of HPV16 L1 antibodies in human serum samples using ZnCdSe/ZnS quantum dot-labeled antibodies

Human papillomavirus type 16 (HPV16) is a high-risk virus linked to cervical cancer, primarily through its oncogenic proteins E6 and E7. The HPV16-L1 protein, the major capsid component, plays a key role in capsid formation and immune response. Monitoring anti-HPV16-L1 antibodies in serum is crucial for understanding infection dynamics and vaccine efficacy. This study aimed to develop a novel quantum dot-labeled blocking enzyme-linked immunosorbent assay (QDs-B-ELISA) for the quantitative detection of anti-HPV16-L1 antibodies. Monoclonal antibodies were produced and characterized against HPV16-L1 virus-like particles. A QDs-B-ELISA method was developed based on these antibodies and evaluated using 199 serum samples with previously established HPV16 status ("known" samples) and 170 serum samples with unknown HPV16 status at the time of testing ("unknown" samples). The diagnostic accuracy, sensitivity, specificity, and quantitative detection range of the QDs-B-ELISA were assessed and compared with commercial ELISA kits. The established QDs-B-ELISA exhibited high diagnostic accuracy (area under the curve, AUC = 0.9945), sensitivity (95.83%), and specificity (96.85%) for known serum samples. The lower limit of HPV16 antibody concentration detected by QDs-B-ELISA (0.0875 IU/mL) was considerably lower than that of the commercial ELISA kit, the Human Anti-HPV16-L1 Antibody (IgG) ELISA Kit (LS-F10262-1, Lsbio) (0.35 IU/mL), with a quantitative detection range of 13-1,737.8 IU/mL. When analyzing unknown human serum samples, the QDs-B-ELISA demonstrated a 97.06% agreement with commercial kits, and both inter-assay and intra-assay coefficients of variation were below 10%. The QDs-B-ELISA demonstrated high stability, sensitivity, and specificity, offering a valuable tool for surveillance and epidemiological studies of HPV16 infection.IMPORTANCEThis study introduces a novel quantum dot-labeled blocking enzyme-linked immunosorbent assay for detecting anti-HPV16-L1 antibodies, offering superior sensitivity and specificity compared to conventional methods. The improved performance enables more accurate HPV16 surveillance, epidemiological studies, and vaccine efficacy monitoring. This advancement may enhance early detection and risk assessment of HPV16 infections.

Quantitative fluorescent detection of tetracycline in animal-derived foods using quantum dots

Tetracycline (Tc) antibiotics, a class of synthetically produced broad-spectrum antimicrobial drugs, have been widely used in animal husbandry, leading to their widespread presence in animal-derived foods. However, misuse, overuse, and non-compliance with withdrawal periods in animal farming have resulted in excessive Tc residues in these foods, which can cause various adverse reactions in humans, induce bacterial resistance, and pose a significant threat to public health. Consequently, the detection of Tc antibiotic residues in animal-derived food has become a critical issue. This study aims to establish a novel method for quantifying Tc residues in animal-derived food using quantum dots (QDs) fluorescence immunoassay (FLISA). The developed method was optimized to achieve a detection limit of 0.69 ng/mL and a quantitative detection range of 1.30 ~ 59.22 ng/mL. The applicability of the method was demonstrated by successfully determining Tc residues in pork, chicken, fish, milk, eggs, and honey samples spiked with Tc standard solutions, yielding recoveries ranging from 94.01% to 110.19% and relative standard deviations between 1.10% and 11.39%. The significance of this study lies in its potential to provide a rapid and reliable approach for monitoring Tc residues in animal-derived food products, thereby contributing to the enhancement of food safety monitoring practices. KEY POINTS: • Screen out tetracycline-specific blocking monoclonal antibodies • The quantitative detection has high specificity and sensitivity • This method can be a useful tool for laboratories or testing facilities.

A novel fluorescence immunoassay for the quantitative detection of florfenicol in animal-derived foods based on ZnCdSe/ZnS quantum dot labelled antibody

Florfenicol (F), an antimicrobial agent exclusive to veterinary use within the chloramphenicol class, is extensively applied as a broad-spectrum remedy for animal diseases. Despite its efficacy, concerns arise over potential deleterious residues in animal-derived edibles, posing threats to human health. This study pioneers an innovative approach, introducing a quantum dot fluorescence-based immunoassay (FLISA) for the meticulous detection of F residues in animal-derived foods and feeds. This method demonstrates heightened sensitivity, with a detection limit of 0.3 ng/mL and a quantitative detection range of 0.6-30.4 ng/mL. Method validation, applied to diverse food sources, yields recoveries from 90.4 % to 109.7 %, featuring RSDs within 1.3 % to 8.7 %, the results showed high consistency with the national standard HPLC-MS/MS detection method. These findings underscore the method's accuracy and precision, positioning it as a promising tool for swift and reliable F residue detection, with substantial implications for fortifying food safety monitoring.

Fluorescent quantum dot-based nanotool for targeted identification and evaluation of the schistosomiasis circulating cathodic antigen in tissue samples

Schistosomiasis represents a serious public health problem, a disease for which the circulating cathodic antigen (CCA) is a relevant biomarker. Quantum dots (QDs) are advantageous fluorescent nanoparticles that can be used as specific nanoprobes. In this study, a nanotool based on QDs and anti-CCA antibodies was developed, which, in association with fluorescence microscopy, was applied to trace and evaluate the CCA profile in schistosomiasis-infected tissue samples. Kidney and liver tissues from mice at different disease phases were used as models. QDs and the conjugates were characterized by absorption and emission spectroscopies. Microscopy analyses were used to map and assess CCA accumulation in infected tissue slices in respect to non-infected control samples. The fluorescent microplate assay (FMA) and Zeta potential (ζ) analyses indicated an effective conjugation, which was corroborated by the absence of labeling in non-infected tissue slices (which lack CCA) after incubation with the nanoprobe. Infected liver and kidney tissues exhibited notable staining by the QDs-anti-CCA conjugate. The CCA accumulation increased as follows: 30 < 60 = 120 days post-infection, with 30, 60, and 120 days corresponding to the pre-patent, acute, and beginning of chronic disease phases, respectively. Therefore, this innovative approach, combining imaging acquisition with the sensitivity and specificity of the QDs-anti-CCA conjugate, demonstrated efficiency in locating and comparatively evaluating CCA deposition in biological samples, thereby opening new possibilities for schistosomiasis research.

Advances on chalcogenide quantum dots-based sensors for environmental pollutants monitoring

Water contamination represents a significant ecological impact with global consequences, contributing to water scarcity worldwide. The presence of several pollutants, including heavy metals, pharmaceuticals, pesticides, and pathogens, in water resources underscores a pressing global concern, prompting the European Union (EU) to establish a Water Watch List to monitor the level of these substances. Nowadays, the standard methods used to detect and quantify these contaminants are mainly liquid or gas chromatography coupled with mass spectrometry (LC/GC-MS). While these methodologies offer precision and accuracy, they require expensive equipment and experienced technicians, and cannot be used on the field. In this context, chalcogenide quantum dots (QDs)-based sensors have emerged as promising, user-friendly, practical, and portable tools for environmental monitoring. QDs are semiconductor nanocrystals that possess excellent properties, and have demonstrated versatility across various sensor types, such as fluorescent, electrochemical, plasmonic, and colorimetric ones. This review summarizes recent advances (2019-2023) in the use of chalcogenide QDs for environmental sensing, highlighting the development of sensors capable of detect efficiently heavy metals, anions, pharmaceuticals, pesticides, endocrine disrupting compounds, organic dyes, toxic gases, nitroaromatics, and pathogens.

Classification and applications of nanomaterials in vitro diagnosis

With the rapid development of clinical diagnosis and treatment, many traditional and conventional in vitro diagnosis technologies are unable to meet the demands of clinical medicine development. In this situation, nanomaterials are rapidly developing and widely used in the field of in vitro diagnosis. Nanomaterials have distinct size-dependent physical or chemical properties, and their optical, magnetic, electrical, thermal, and biological properties can be modulated at the nanoscale by changing their size, shape, chemical composition, and surface functional groups, particularly because they have a larger specific surface area than macromaterials. They provide an amount of space to modify different molecules on their surface, allowing them to detect small substances, nucleic acids, proteins, and microorganisms. Combining nanomaterials with in vitro diagnosis is expected to result in lower detection limits, higher sensitivity, and stronger selectivity. In this review, we will discuss the classfication and properties of some common nanomaterials, as well as their applications in protein, nucleic acids, and other aspect detection and analysis for in vitro diagnosis, especially on aging-related nanodiagnostics. Finally, it is summarized with guidelines for in vitro diagnosis.

Versatile Prepolymer Platform for Controlled Tailoring of Quantum Dot Surface Properties

Quantum dots (QDs) hold immense promise for bioimaging, yet technical challenges in surface engineering limit their wider scientific use. We introduce poly(pentafluorophenyl acrylate) (PPFPA) as a user-friendly prepolymer platform for creating precisely controlled multidentate polymeric ligands for QD surface engineering, accessible to researchers without extensive synthetic expertise. PPFPA combines the benefits of both bottom-up and prepolymer approaches, offering minimal susceptibility to hydrolysis and side reactions for controlled chemical composition, along with simple synthetic procedures using commercially available reagents. Live cell imaging experiments highlighted a significant reduction in nonspecific binding when employing PPFPA, owing to its minimal hydrolysis, in contrast to ligands synthesized by using a conventional prepolymer prone to uncontrolled hydrolysis. This observation underscores the distinct advantage of our prepolymer system. Leveraging PPFPA, we synthesized biomolecule-conjugated QDs and performed QD-based immunofluorescence to detect a cytosolic protein. To effectively label cytosolic targets in such a dense and complex environment, probes must exhibit minimal nonspecific binding and be compact. As a result, QD-immunofluorescence has focused primarily on cell surface targets. By creating compact QD-F(ab')2, we sensitively detected alpha-tubulin with a ∼50-fold higher signal-to-noise ratio compared to organic dye-based labeling. PPFPA represents a versatile and accessible platform for tailoring QD surfaces, offering a pathway to realize the full potential of colloidal QDs in various scientific applications.

A robust and versatile host-guest peptide toolbox for developing highly stable and specific quantum dot-based peptide probes for imaging extracellular matrices and cells

Multiplex fluorescence imaging plays a vital role in precision medicine for targeting complex diseases with diverse biomolecular signatures. Quantum dot (QD) probes with vibrant colors are promising candidates for multiplex imaging, but their stability and specificity are frequently compromised by the current tedious post-modification process. We have herein developed a robust and versatile host-guest peptide (HGP) toolbox for creating highly stable and specific QD-based peptide probes for imaging extracellular matrices and cells. The HGP system comprises a host peptide and a guest peptide with a shared sequence pattern of cysteine and negatively charged amino acids, allowing for QD stabilization and specificity towards targeted biomarkers. HGP has been demonstrated as a convenient one-step approach to construct hydrophilic QD-based peptide probes with superior stability under various conditions. Six multicolor HGP-modified QDs have been developed to specifically target extracellular matrix proteins such as collagen, laminin, and nidogen, as well as major cellular elements like the membrane, nucleus, and cytoplasm, providing an efficient tool for real-time monitoring of high-resolution interactions between cancer cells and the extracellular matrix. The HGP system represents a next-generation approach to developing QDs with unprecedented stability and specificity, holding great potential in multiplex imaging and precision medicine.

Exploring the multifunctional roles of quantum dots for unlocking the future of biology and medicine

With recent advancements in nanomedicines and their associated research with biological fields, their translation into clinically-applicable products is still below promises. Quantum dots (QDs) have received immense research attention and investment in the four decades since their discovery. We explored the extensive biomedical applications of QDs, viz. Bio-imaging, drug research, drug delivery, immune assays, biosensors, gene therapy, diagnostics, their toxic effects, and bio-compatibility. We unravelled the possibility of using emerging data-driven methodologies (bigdata, artificial intelligence, machine learning, high-throughput experimentation, computational automation) as excellent sources for time, space, and complexity optimization. We also discussed ongoing clinical trials, related challenges, and the technical aspects that should be considered to improve the clinical fate of QDs and promising future research directions.