Variation Of Fluorescence Intensity Research Articles

Silica-supported indole derived fluorometric chemosensor for the selective detection of Ag+ ions in aqueous solution

A novel organic-inorganic hybrid nanomaterial-based fluorescent chemosensor was synthesized by functionalizing rice husk-derived nanosilica with 3-(aminopropyl)triethoxysilane (APTES) and then grafting it with para-aminobenzoic acid, benzaldehyde, and indole organic moieties, respectively, to detect Ag+ ions in the aqueous medium. Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), fluorescence spectroscopic techniques, and thermogravimetric analysis (TGA) were used to characterize the synthesized material. The synthesized ligand showed highly selective and sensitive fluorescence-enhanced, "Turn-ON" chemosensor activity towards Ag+ ions at an excitation wavelength of 355 nm, with observable variations in fluorescence intensity compared to other metal ions. The detection limit for Ag+ was 1.94 × 10−4 M, and the limit of quantification was calculated as 6.49 × 10−4 M. These findings suggest that the silica-supported indole derivative (Indole-APTES@nanosilica) can be utilized as a sensitive and selective, Turn-ON fluorometric chemosensor for detecting Ag+ ions.

Visualizing dynamic interactions between mitochondria and lysosomes in living cells using novel pH-sensitive fluorescent probes in dual-channel

The neutral fluorescent probes 1a-1c based on D-π-A-π-D structure, with benzopyranoquinoline as the fluorophore and the electron-donating groups at both ends, were developed, which emitted dual-channel fluorescence in different pH environments. Among them, probe 1a with both N,N-diethyl group and morpholine ring as electron-donating groups exhibited the best fluorescence performance, showing a red shift of 85 nm in dual emission at 505 nm and 590 nm, and a Stokes shift of 95 nm in both channels. The neutral 1a displayed green fluorescence specifically targeting mitochondria, while the protonated form 1a+H+ resulting in red fluorescence localized in lysosomes. The ability to distinguish healthy and pathological cells such as cancer or inflammation could be achieved by observing the differences in red fluorescence within lysosomes. Probe 1a could migrate and retarget between mitochondria and lysosomes, and it was discovered by the physiological effects of chloral hydrate experiments. In addition, the dynamic changes in morphology and movement of mitochondria and lysosomes during cellular autophagy through the variation of fluorescence intensity in green and red channels induced by rapamycin and starvation conditions had been investigated deeply.

Hexagonal Boron Nitride Spacers for Fluorescence Imaging of Biomolecules

AbstractFluorescence imaging is an invaluable tool to investigate biomolecular dynamics, mechanics, and interactions in aqueous environments. Two‐dimensional materials offer large‐area, atomically smooth surfaces for wide‐field biomolecule imaging. Despite the success of graphene for on‐chip biosensing and biomolecule manipulation, its strong fluorescence‐quenching properties pose a challenge for biomolecular investigations that are based on direct optical readouts. Here, we employ few‐layer hexagonal boron nitride (hBN) as a precisely tailorable fluorescence spacer between labelled lipid membranes and graphene substrates. By stacking high‐quality hBN crystals in the 10–20 nm thickness range on monolayer graphene, we observe distance‐dependent fluorescence intensity variations. Remarkably, with hBN spacers as thin as 20 nm, the fluorescence intensity is comparable to bare SiO2/Si substrates, while the intensity was reduced to 60 % and 80 % with ~10 nm and ~16 nm hBN thicknesses respectively. We confirm that pre‐determined hBN thicknesses can be employed to control the non‐radiative energy transfer properties of graphene, with fluorescence quenching following a d−4 distance‐dependent behaviour. This seamless integration of electronically active and dielectric van der Waals materials into vertical heterostructures enables multifunctional platforms addressing the manipulation, localization, and visualization of biomolecules for fundamental biophysics and biosensing applications.

The Brown Sugar Mediated Carbon Quantum Dots as a Novel Fluorescence Sensor for Sensitive Detection of Gentamicin and Its Application in Foods.

In this work, a novel fluorescence sensing strategy was proposed for the detection of gentamicin based on fluorescent carbon quantum dots (CQDs) and gold nanoparticles (AuNPs). Herein, the CQDs were green-synthesized for the first time via a one-step hydrothermal method utilizing brown sugar as the precursor. In the presence of citrate-stabilized AuNPs, the fluorescence of CQDs was quenched efficiently. Gentamicin, on the other hand, had a higher affinity for AuNPs and was able to compete with CQDs for a preferential binding to AuNPs, which ultimately led to the aggregation of AuNPs and freeing of CQDs in solution, causing the fluorescence recovery of CQDs. Based on the above phenomenon, the concentrations of gentamicin could be ascertained by detecting the variations in fluorescence intensity of CQDs. This sensing strategy exhibited excellent selectivity in various antibiotics. At the same time, the method displayed outstanding sensitivity for gentamicin, which was successfully applied to real samples detection.

Dual-signal readout sensing of ATP content in single dental pulp stem cells during differentiation via functionalized glass nanopipettes

Adenosine triphosphate (ATP) is regarded as the “energy currency” in living cells, so real-time quantification of content variation of intracellular ATP is highly desired for understanding some important physiological processes. Due to its single-molecule readout ability, nanopipette sensing has emerged as a powerful technique for molecular sensing. In this study, based on the effect of targeting-aptamer binding on ionic current, and fluorescence resonance energy transfer (FRET), we reported a dual-signal readout nanopipette sensing system for monitoring ATP content variation at the subcellular level. In the presence of ATP, the complementary DNA-modified gold nanoparticles (cDNAs-AuNPs) were released from the inner wall of the nanopipette, which leads to sensitive response variations in ionic current rectification and fluorescence intensity. The developed nanopipette sensor was capable of detecting ATP in single cells, and the fluctuation of ATP content in the differentiation of dental pulp stem cells (DPSCs) was further quantified with this method. The study provides a more reliable nanopipette sensing platform due to the introduction of fluorescence readout signals. Significantly, the study of energy fluctuation during cell differentiation from the perspective of energy metabolism is helpful for differentiation regulation and cell therapy.

Hydrogel coatings on universal medical devices with water-responsive Janus adhesion and acidity-triggered transformation for adaptive antibacterial treatment and fluorescence diagnosis

Hydrogel coatings of catheters have attracted extensive attention in the field of medical devices due to its hydrophilicity and softness, while scarcities of Janus adhesion, adaptive antibacterial property, and real-time disease monitoring restricted their clinical translational applications. Herein, a novel hydrogel coating with water-responsive Janus adhesion and acidity-triggered transformation was fabricated for antibacterial treatment and fluorescence diagnosis of catheters-associated infections. First, a sufficient adhesion strength of 44.6 ± 1.9 kPa effectively prevented shedding of the hydrogel coating during catheterization, and meanwhile a super-lubricated layer with an extremely-low coefficient of friction of about 0.03 was formed to reduce friction pain in an aqueous microenvironment. Furthermore, size and fluorescence intensity of chitosan/bovine serum albumin-gold nanoparticles within the hydrogel were varied with pH due to acidity-triggered transformation, where an adaptive release of antibacterial nanoparticles was achieved to reduce biofilms formation and alleviate inflammation degree synergistically. More importantly, such antibacterial treatment was monitored in real-time dependent on an on–off variation of fluorescence intensity. Overall, amounts of in-vitro and in-vivo results performed in rabbit urinary tract infection model and porcine tracheal intubation model fully suggested our newly-synthesized hydrogel coating on universal medical devices showed a promising potential for integrated diagnosis and treatment of catheters-associated infections.

A wireless fluorescent flexible force sensor based on aggregation-induced emission doped liquid crystal elastomers.

Flexible strain sensors have drawn a lot of interest in various applications including human mobility tracking, rehabilitation/personalized health monitoring, and human-machine interaction, but suffer from interference of electromagnetic (EM). To overcome the EM interference, flexible force sensors without sensitive electronic elements have been developed, with drawbacks of bulky modules that hinders their applications in remote measurement with power-free environment. Therefore, it is highly desirable to fabricate a compact wireless flexible force sensor but it is still a challenge. Here, we demonstrate a fluorescent flexible force sensor based on aggregation-induced emission (AIE) doped liquid crystal elastomer (LCE) experimentally. The proposed force sensor film can be used to measure force through the variation of fluorescent intensity induced by the extension or contraction of LCE film, which leads to reduce or increase of the aggregation degree of AIE molecules within. This compact wireless force sensor features lightweight, low-cost, high flexibility, passivity and anti-EM interference, which also enables the naked eye observation. The proposed sensor provides inspiration and a platform for a new concept of non-contact detection, showing application potential in human-friendly interactive electronics and remote-control integration platform.

Preparation of Artemisia sphaerocephala Krasch. gum gel and ammonia fluorescence response mechanism based on peeling-off reaction

The release of hazardous NH3 toxic gas poses a significant threat to both the environment and human health, necessitating the development of materials capable of detecting NH3. This research focuses on the design of a fluorescent gel derived from the peeling-off reaction of Artemisia sphaerocephala Krasch. gum (ASKG). The variations in fluorescence intensity were examined for gels produced under different conditions of pH and adsorption capacity of NH3. The fluorescence response mechanism concerning NH3 and pH value was investigated through analysis of fluorescent lifetime, FT-IR, X-ray XPS, and GPC. Dextran was employed to validate this mechanism. The ASKG gel exhibited a rapid response to NH3 gas, and the fluorescence intensity demonstrated a linear correlation with the cumulative adsorption of NH3 gas. Pseudo-first-order kinetics was applied to analyze the adsorption system of the ASKG gel, revealing a maximum adsorption capacity of 0.03476 g/g for NH3. The practical application of the ASKG gel was demonstrated through a fish spoilage experiment.

Protein – Metal ion Interaction: A Spectroscopic Study

This study reports on the spectroscopic interaction studies of mercuric chloride LYZ. The quencher concentration was maintained in the range of 0–6.25 µM. At the studied concentration range (10-6 M), LYZ did not have any variation in fluorescence intensity. Increase in LYZ concentration to 10-3 M showed a decrease in the fluorescence intensity due to the involvement of nucleophilic functional group. The fluorescence of LYZ was quenched to a large extent depending on the protein solution pH (2.2, 4.5, and 7.4).At all the studied pH, emission spectra showed blue shift. The onset and the shift varied with solution pH. Stern-Volmer analysis showed a three stage transition At pH 7.4, the presence of HgCl2 did not have much influence on the amide bands. But at pH 4.5, the amide I band showed a shift to lower wavenumber These confirmed that the quenching takes place through both static and energy transfer processes.

Stretchable hybrid platform‐enabled interactive perception of strain sensing and visualization

AbstractHuman–machine interactive platforms that can sense mechanical stimuli visually and digitally are highly desirable. However, most existing interactive devices cannot satisfy the demands of tactile feedback and extended integration. Inspired by the mechanoluminescence (ML) function of cephalopod skin and the sensitive perception of microcracked slit‐organs, a bioinspired stretchable interactive platform is developed by designing a stretchable poly(styrene‐block‐butadiene‐block‐styrene)/fluorescent molecule (SFM) composite followed by the in situ polymerization of pyrrole (Py) and deposition of carbon nanotubes (CNTs), which possesses a simple multilayered structure and quantitatively senses the applied strains via the variations of digital electrical resistance and visual fluorescence intensity. Using the strain‐dependent microstructures derived from the synergistic interactions of the rigid PPy/CNTs functional layer and SFM, the SFM/PPy/CNTs‐based platforms exhibit excellent strain‐sensing performance manifested by a high gauge factor (GF = 2.64 × 104), wide sensing range (~270%), fast response/recovery time (~155/195 ms), excellent stability (~15,000 cycles at 40% strain), and sensitive ML characteristics under ultraviolet illumination. Benefiting from the novel fusion of digital data and visual images, important applications, including the detection of wrist pulses and human motions, and information dual‐encryption, are demonstrated. This study demonstrates the superiority of advanced structures and materials for realizing superior applications in wearable electronics.

Unveiling size‐fluorescence correlation of organic nanoparticles and its use in nanoparticle size determination

AbstractQuantitatively establishing the correlation between nanoparticle size and fluorescence is essential for understanding the behavior and functionality of fluorescent nanoparticles (FNPs). However, such exploration focusing on organic FNPs has not been achieved to date. Herein, we employ the use of supramolecular polymeric FNPs prepared from tetraphenylethylene‐based bis‐ureidopyrimidinone monomers (bis‐UPys) to relate the size to the fluorescence of organic nanoparticles. At an equal concentration of bis‐UPys, a logarithmic relationship between them is built with a correlation coefficient higher than 0.96. Theoretical calculations indicate that variations in fluorescence intensity among FNPs of different sizes are attributed to the distinct molecular packing environments at the surface and within the interior of the nanoparticles. This leads to different nonradiative decay rates of the embedded and exposed bis‐UPys and thereby changes the overall fluorescence quantum yield of nanoparticles due to their different specific surface areas. The established fluorescence intensity‐size correlation possesses fine universality and reliability, and it is successfully utilized to estimate the sizes of other nanoparticles, including those in highly diluted dispersions of FNPs. This work paves a new way for the simple and real‐time determination of nanoparticle sizes and offers an attractive paradigm to optimize nanoparticle functionalities by the size effect.

Magnetic‐optical dual functional Janus particles for the detection of metal ions assisted by machine learning

AbstractFunctional polymer microspheres have broad application prospects in various fields, such as metal ion detection, adsorption, separation, and controlled drug release. However, integrating different functions in a single microsphere system is a significant challenge in this field. In this work, we prepared multicompartmental emulsion droplets utilizing microfluidic technology. Fe3O4 magnetic nanoparticles were added to one of the compartments of the emulsion droplets as functional particles, and Janus microspheres were obtained after curing. Fluorescent probes enter the two compartments of the Janus microspheres by diffusion. The fluorescence changes of the microspheres were observed in situ and captured through a fluorescence microscope. The images are processed by image recognition software and a Python program. The “fingerprint” of the detected metal ions is obtained by dimensionality reduction of the data through Principal Component Analysis. We employ different algorithms to build Machine Learning models for predicting the metal ion species and concentration. The variation of fluorescence intensity of the three fluorescent probes and the corresponding R, G, and B channel values and time are used as descriptors. The results show that the Random Forest, K‐neighborhood (KNN), and Neural Network models demonstrated a better predicted effect with a variance (R2) greater than 0.9 and a smaller root mean square error; among them, the KNN model predicted the most accurate results.

Investigation of variation in fluorescence intensity from rhodamine 6G dye in a trapped and levitated liquid micro-drop

Variation in fluorescence intensity from rhodamine 6 G dye was investigated. A small volume of dye solution, in the form of a trapped and levitated micro-drop, was optically excited with a 400 μW, 532 nm wavelength cw-laser light. The dye was dissolved in methanol and glycerol for a concentration of 10 mg/ml or 21 mMole per liter. With the optical excitation, initially the fluorescence intensity was observed to rise with time, and then it decayed, along with a steady shift of fluorescence peak from 562 nm to 543 nm. The observation of initial enhancement in fluorescence from start to 7 min of excitation, can partly be due to the low excitation power, less dimer formation and gradual rise in molecular population to excited state therefore slower rate of change (increase) of fluorescence intensity was observed with time. Simulation studies indicate that the photo bleaching was taking place from all the energy states of the dye molecules, which is an extension of the concept that the photo bleaching takes place at the excited triplet state whereas the fluorescence takes place due to transition between excited singlet states and ground states. A steady shift in fluorescence peak position, from 562 nm to 543 nm, was observed during the fluorescence life of the dye, at a rate of 0.0113 nm/s during fluorescence enhancement and 0.026 nm/s during photo-bleaching. The steady blue shift of fluorescence indicate insignificant dimer formation.

Detection of Doxycycline Using Carbon Quantum dots as Probe Based on Internal Filtering Effect.

The establishment of a convenient and effective detection method for doxycycline (DC) holds significant importance in drug monitoring and drug residue assessment. In this work, carbon quantum dots (CQDs) with excellent and stable luminescence performance (the quantum yield of CQDs was 21.8%) were synthesized by the melting method and employed as probes to monitor the fluorescence intensity variations before and after the introduction of DC. A fluorescence analytical method based on the internal filtration effect (IFE) was developed for DC determination. The mechanism of DC quenching CQDs was verified using fluorescence lifetime tests, absorption spectroscopy, and evaluation of internal filtration parameters. After optimizing experimental conditions, it was found that the DC concentration (CDC) exhibited a good linear relationship with the fluorescence quenching efficiency ((F0-F)/F0) of CQDs in the range of 5-30 µM. The fitted linear equation was Y = 0.01249*CDC+0.03625, R2 = 0.9987, and the detection limit was 2.343 µM (n = 8). This developed method has been successfully applied to accurately determine DC concentrations in both doxycycline hydrochloride tablets and human serum samples. It stands out for its simplicity, rapidity, and acceptable detection performance. Due to its advantages, this method holds great promise for application in the biomedical field for monitoring DC drug concentrations and ensuring quality control.

Interaction between roxarsone, an organic arsenic compound, with humic substances in the soil simulating environmental conditions

In environmental systems, the soil is a principal route of contamination by various potentially toxic species. Roxarsone (RX) is an arsenic (V) organic compound used to treat parasitic diseases and as an additive for animal fattening. When the animal excretes RX, the residues may lead to environmental contamination. Due to their physicochemical properties, the soil's humic substances (HS) are important in species distribution in the environment and are involved in various specific interaction/adsorption processes. Since RX, an arsenic (V) compound, is considered an emerging contaminant, its interaction with HS was evaluated in simulated environmental conditions. The HS-RX interaction was analyzed by monitoring intrinsic HS fluorescence intensity variations caused by complexation with RX, forming non-fluorescent supramolecular complexes that yielded a binding constant Kb (on the order of 103). The HS-RX interaction occurred through static quenching due to complex formation in the ground state, which was confirmed by spectrophotometry. The process was spontaneous (ΔG < 0), and the predominant interaction forces were van der Waals and hydrogen bonding (ΔH < 0 and ΔS < 0), with an electrostatic component evidenced by the influence of ionic strength in the interaction process. Structural changes in the HS were verified by synchronized and 3D fluorescence, with higher variation in the region referring to the protein-like fraction. In addition, metal ions (except ions Cu(II)) favored HS-RX interaction. When interacting with HS, the RX epitope was suggested by 1H NMR, which indicated that the entire molecule interacts with the superstructure. An enzyme inhibition assay verified the ability to reduce the alkaline phosphatase activity of free and complexed RX (RX-HS). Finally, this work revealed the main parameters associated with HS and RX interaction in simulated environmental conditions, thus, providing data that may help our understanding of the dynamics of organic arsenic-influenced soils.

Probing Polarity and pH Sensitivity of Carbon Dots in Escherichia coli through Time-Resolved Fluorescence Analyses.

Intracellular monitoring of pH and polarity is crucial for understanding cellular processes and functions. This study employed pH- and polarity-sensitive nanomaterials such as carbon dots (CDs) for the intracellular sensing of pH, polarity, and viscosity using integrated time-resolved fluorescence anisotropy (FA) imaging (TR-FAIM) and fluorescence lifetime (FLT) imaging microscopy (FLIM), thereby enabling comprehensive characterization. The functional groups on the surface of CDs exhibit sensitivity to changes in the microenvironment, leading to variations in fluorescence intensity (FI) and FLT according to pH and polarity. The FLT of CDs in aqueous solution changed gradually from 6.38 ± 0.05 ns to 8.03 ± 0.21 ns within a pH range of 2-8. Interestingly, a complex relationship of FI and FLT was observed during measurements of CDs with decreasing polarity. However, the FA and rotational correlation time (θ) increased from 0.062 ± 0.019 to 0.112 ± 0.023 and from 0.49 ± 0.03 ns to 2.01 ± 0.27 ns, respectively. This increase in FA and θ was attributed to the higher viscosity accompanying the decrease in polarity. Furthermore, CDs were found to bind to three locations in Escherichia coli: the cell wall, inner membrane, and cytoplasm, enabling intracellular characterization using FI and FA decay imaging. FLT provided insights into cytoplasmic pH (7.67 ± 0.48), which agreed with previous works, as well as the decrease in polarity in the cell wall and inner membrane. The CD aggregation was suspected in certain areas based on FA, and the θ provided information on cytoplasmic heterogeneity due to the aggregation and/or interactions with biomolecules. The combined TR-FAIM/FLIM system allowed for simultaneous monitoring of pH and polarity changes through FLIM and viscosity variations through TR-FAIM.

Optimal slice thickness for improved accuracy of quantitative analysis of fluorescent cell and microsphere distribution in cryo-images

Cryo-imaging has been effectively used to study the biodistribution of fluorescent cells or microspheres in animal models. Sequential slice-by-slice fluorescent imaging enables detection of fluorescent cells or microspheres for corresponding quantification of their distribution in tissue. However, if slices are too thin, there will be data overload and excessive scan times. If slices are too thick, then cells can be missed. In this study, we developed a model for detection of fluorescent cells or microspheres to aid optimal slice thickness determination. Key factors include: section thickness (X), fluorescent cell intensity (Ifluo), effective tissue attenuation coefficient (μT), and a detection threshold (T). The model suggests an optimal slice thickness value that provides near-ideal sensitivity while minimizing scan time. The model also suggests a correction method to compensate for missed cells in the case that image data were acquired with overly large slice thickness. This approach allows cryo-imaging operators to use larger slice thickness to expedite the scan time without significant loss of cell count. We validated the model using real data from two independent studies: fluorescent microspheres in a pig heart and fluorescently labeled stem cells in a mouse model. Results show that slice thickness and detection sensitivity relationships from simulations and real data were well-matched with 99% correlation and 2% root-mean-square (RMS) error. We also discussed the detection characteristics in situations where key assumptions of the model were not met such as fluorescence intensity variation and spatial distribution. Finally, we show that with proper settings, cryo-imaging can provide accurate quantification of the fluorescent cell biodistribution with remarkably high recovery ratios (number of detections/delivery). As cryo-imaging technology has been used in many biological applications, our optimal slice thickness determination and data correction methods can play a crucial role in further advancing its usability and reliability.

Quadri-Dimensional Anti-counterfeiting Flexible Label Programmed by a Photoresponsive Liquid Crystal Polymer Film

Creating flexible materials with multi-dimensional security holds great promise for anti-counterfeiting labels in food, currency, and pharmaceuticals, but it is proven extremely challenging. Herein, we propose a photoresponsive liquid crystal polymer (LCP) film by incorporating polymerizable photoswitch into commercial LCP with ultraviolet (UV) light exposure. Reversible photochromism can be observed between light- and dark-red under UV and visible light irradiation alternatively, accompanying by variation of fluorescence intensity. In addition, a series of photonic microstructures are written on the flexible LCP film by taking advantage of the predefined patterned light. A quadri-dimensional anti-counterfeiting flexible label, featuring photochromism, fluorescence, embedded microstructures, and optical diffraction is constructed with the assistance of photoresponsive LCP film. This strategy represents a beneficial step toward flexible anti-counterfeiting materials, which enhances the secure level for practical product engineering applications.

Resorcinol monophosphate ester as a new substrate for fluorometric detection of alkaline phosphatase activity in milk products

Alkaline phosphatase (ALP) is an indicator of sterilization efficacy of milk products and its activity monitoring is essential for ensuring food safety and controlling product quality. Here, a novel fluorometric method for the determination of ALP activity based on resorcinol monophosphate ester (RME) as a new substrate was proposed to verify pasteurization of milk products. RME was cheap and was simply and novelly synthesized by a two-step method using resorcinol (RC) as the raw material. The mechanism is, after dephosphorylation, RME was transformed to RC, which subsequently react with dopamine (DA) to form a strong fluorescent product, azamonardine. It has a fluorescence emission wavelength at 461 nm under the optimal excitation at 418 nm. The results show that under the optimum conditions, there is a good linear relationship between ΔF (the variation of fluorescence intensity) and ALP activity over 0–5000 mU/L. High sensitivity was achieved (detection limit of 17.34 mU/L) because of high quantum yield of the products and catalytic activity of ALP and the recovery rate is 96.8–106.1%. Compared with national and international standard methods, the detection procedures are simple, just adding RME and DA solution to milk with buffer solution. Our method was successfully applied for ALP activity detection in milk products. Moreover, the catalyst of ALP and the reaction of RME and dopamine are pH dependent, and thus the reaction time could be kept identical by terminating the reaction through adding acids. With high sensitivity, high selectivity, simple operation, and wide linear range, our assay will find more practical applications in food analysis.

Optical fiber inclinometer with dynamically controllable excitation length of quantum dots liquid-core waveguide based on a photo-controlled bubble.

An ultracompact fiber inclinometer based on a bubble controlled by Marangoni force is proposed in this Letter. By coupling a 980-nm laser, the bubble can suspend in a quantum dots (QDs) liquid-core waveguide (LCW) due to the Marangoni effect. Under the excitation of a 405-nm laser, QDs LCW exhibit green emissions centered at 523 nm. When the tilt angle changes, the position of the bubble changes as well, which causes the variation of the 523-nm fluorescence intensity. The experimental results show that the sensitivity based on the peak intensity ratio (PIR) reaches 0.22/° with a linearity of 0.979 from 0° to 35°. Furthermore, the sensor has excellent stability and repeatability.