Standard Color Research Articles

Design of donor-acceptor-acceptor (D-A-A′)-type fluorescence emitters based on benzothiadiazole with the hybridized local and charge-transfer (HLCT) excited state feature for green to deep-red emitting OLEDs

Organic light-emitting diodes (OLEDs) have significant applications in solid-state lightings and flat-panel displays. The development of novel organic emitters to meet the demands of high-performance OLEDs is attracting much attention. The electron withdrawing group benzothiadiazole (BTZ) is widely used in organic emitters due to its rigid planar structure which will benefit the emission performance. At present, the chemical structures of organic emitters based on BTZ skeleton are mostly dominated by the symmetric D-A-D configuration. Herein, we designed and synthesized a serial of asymmetric donor-acceptor-acceptor (D-A-A′)-type fluorescence emitters with the hybridized local and charge-transfer (HLCT) excited state feature. Due to its extended π-conjugation, the D-A-A′ type molecular architecture is conducive to enhancing intramolecular charge transfer and achieving redshift of emitter. Notably, the emission of OLED devices can be finely tuned from green to deep red by varying the doping concentrations of these fluorescent emitters within the host material, thereby enabling a broad spectrum of light colors. Moreover, it is worth highlighting that the introduction of triphenylamine groups can enable devices at much higher doping levels to achieve higher EQEs. Compared with the maximum EQE of 3.1 % for the10 wt% doped OLED based on 7b, the maximum EQEs of devices based on 7b at the doping concentration of 50 wt% and 100 wt% increase to 4.8 % and 3.5 %, respectively. Especially, the non-doped OLED based on 7b exhibits excellent red color purity with the CIE coordinate of (0.63, 0.36), which is very close to the Rec. 709 standard red color CIE coordinate (0.64, 0.33).

Investigation of polymorphism and expression of the tyrosinase (TYR) gene as a gene controlling coat color in Bali cattle

Cattle coat color is governed by numerous genes, notably the tyrosinase gene (TYR). This study analyzed coat color anomalies like albinism and white spotting in Bali cattle. It aims to discern the TYR gene's diversity, expression patterns, and correlation with coat color abnormalities. The research encompassed 189 cattle, including those with standard coat color (n=53), white-spotted (n=11), and albino (n=17) Bali cattle, as well as Simmental (n=37), Limousin (n=14), Madura (n=21), and Peran-akan Ongole (PO) cattle (n=36). Total DNA was extracted and the TYR gene in exon 1 was amplified using forward and reverse primers with a target amplicon length of 994 bp. Direct sequencing unveiled TYR gene diversity, analyzed using BioEdit and MEGA6 software to identify SNPs. PCR-RFLP was used for SNP genotyping, while qPCR analyzed TYR gene expression. Two mutations (SNP g. 939A>G and SNP g. 887C>T) were discovered in Bali cattle TYR exon 1. SNP g. 939A>G exhibited polymorphism, with the highest GG genotype frequency in standard Bali cattle, indicating a high G allele frequency. Conversely, Madura, Simmental, Limousin, and PO cattle had the lowest allele fre-quency. Chi-square (χ² test) results showed non-significance across all cattle types. TYR gene expres-sion differed significantly between standard Bali cattle and albinos (p<0.05).

Preparation of cellulose nanofiber/polyvinyl alcohol-based composite films for metal ion detection by starch/disodium calcium ethylenediaminetetraacetate synergistic complexation effect

Heavy metal pollution causes irreversible damage to plants, animals, and humans. Therefore, it is meaningful to develop facile, fast, and efficient strategies for heavy metal ion (HMI) detection. Here, a portable composite film (CPSE) was designed for HMI detection with high sensitivity and wide detection range. The CPSE was prepared by using cellulose nanofibers (CNF)/polyvinyl alcohol (PVA) as the matrix and utilizing modified starch (HPS) to assist disodium calcium ethylenediaminetetraacetate (EDTA-Ca) to form stable complexes with HMI. The R, G and B values (the three primary colors of light) were captured using an image acquisition system to produce an HMI standard color card successfully. Specifically, the composite film can effectively distinguish Cu2+, Pb2+ and Fe3+. The response time of the composite film to HMI was 2–4 s, and the detection ranges of Cu2+ and Fe3+ were 5–700 ppm and 10–1000 ppm, respectively. Additionally, the synergistic effect of HPS and EDTA-Ca led to the increase in tensile strength (1.59–1.71 times), tear strength (3.29–3.57 times), and glass transition temperature (~ 6 °C) compared to CNF/PVA/HPS and CNF/PVA/EDTA-Ca films. This study confirms the value of CPSE films as materials for HMI detection and suggests innovative ideas for designing similar biomass detection materials in the future.

Color-coding real-time detection for the health of lithium-ion batteries

Lithium-ion batteries (LIBs) are pivotal energy devices in our daily lives, yet ensuring the quality and health of LIBs throughout their manufacturing and application processes remains a significant challenge. Here we propose a universal “color-coding” technique to indicate the health of LIBs, by which specific property characteristic and evolution inside LIBs can be unfolded. By defining the standard color coding for the entire manufacturing and application processes of LIBs, we show the change in material characteristics during various processes can be described by variations in standard color coding. Therefore, by establishing a universal color-property database, the proposed “color-coding” method has potential to be used as a practical tool to ensure the quality of materials and healthy operation of batteries.

Telemedicine ultrasound assessment for placenta accreta spectrum: Utility and interobserver reliability of asynchronous remote imaging review.

Management of patients with placenta accreta spectrum (PAS) by trained multidisciplinary teams is associated with improved outcomes. Ultrasound can predict intraoperative risks, but expert ultrasound imaging of PAS is often limited. Telemedicine is used increasingly in obstetrics, permitting expert consultation when essential resources are not available locally. Our objective was to evaluate the feasibility of teleconsultation using standardized ultrasound image acquisition and reporting, and to correlate prognosis with intraoperative findings in patients at risk for PAS. A total of 12 PAS imaging experts (teleconsultants) were selected to asynchronously review deidentified standardized grayscale and color Doppler ultrasound images for five patients who had completed treatment for PAS, resulting in 60 individual teleconsultations. All patients were managed at a center using standardized imaging acquisition and intraoperative topographic classification to individualize surgical management. Teleconsultants reported the predicted topographic classification and recommended a surgical approach based on the topographic classification algorithm. Prognoses were compared with that reported by the local sonologist and with intraoperative findings. In all five patients, local sonologist prognosis and antenatal topographic classification was confirmed during surgery and the final surgical approach matched that which was recommended preoperatively. Teleconsultant antenatal evaluation and management plans matched those of the local team in 71.7% of the cases. When reports differed, PAS severity was overestimated in nine reviews (16.9%) and was underestimated in six reviews (11.3%). Remote imaging teleconsultation provides accurate prenatal staging in most patients at risk for PAS. Teleconsultation is a feasible strategy to improve prenatal imaging, management planning, and guidance for local teams in settings with limited healthcare resources.

Improving the generalizability of white blood cell classification with few-shot domain adaptation

The morphological classification of nucleated blood cells is fundamental for the diagnosis of hematological diseases. Many Deep Learning algorithms have been implemented to automatize this classification task, but most of the time they fail to classify images coming from different sources. This is known as “domain shift”. Whereas some research has been conducted in this area, domain adaptation techniques are often computationally expensive and can introduce significant modifications to initial cell images. In this article, we propose an easy-to-implement workflow where we trained a model to classify images from two datasets, and tested it on images coming from eight other datasets. An EfficientNet model was trained on a source dataset comprising images from two different datasets. It was afterwards fine-tuned on each of the eight target datasets by using 100 or less-annotated images from these datasets. Images from both the source and the target dataset underwent a color transform to put them into a standardized color style. The importance of color transform and fine-tuning was evaluated through an ablation study and visually assessed with scatter plots, and an extensive error analysis was carried out. The model achieved an accuracy higher than 80% for every dataset and exceeded 90% for more than half of the datasets. The presented workflow yielded promising results in terms of generalizability, significantly improving performance on target datasets, whereas keeping low computational cost and maintaining consistent color transformations. Source code is available at: https://github.com/mc2295/WBC_Generalization

Application of nano-TiO2 and micro-ZnO on cementitious surfaces for self-cleaning façades by spray coating and dip coating: A comparative study

Building façades are constantly exposed to atmospheric pollution and various external agents that can degrade their aesthetic qualities and introduce degradation patterns that affect the durability and performance of the materials. Façades with self-cleaning properties are important in the modern construction industry and the conservation of historic buildings, as they reduce costs and allow the preservation of original surfaces without the need for invasive interventions that could compromise cultural heritage. This study does a comparative analysis of the application of photocatalytic coatings composed of aqueous dispersions of titanium dioxide nanoparticles (TiO₂) and zinc oxide microparticles (ZnO) on cementitious substrates for use on façades by two functionalisation methods: spray coating and dip coating. A comprehensive characterisation was carried out using techniques such as scanning electron microscopy (SEM), X-ray diffraction (XRD), and diffuse reflectance spectroscopy (DRS) to assess the morphology, crystal structure and light absorption properties of the photocatalyst particles while Energy Dispersive Spectroscopy (EDS) and scanning electron microscopy (SEM) were employed to evaluate the substrate. The self-cleaning performance was evaluated by monitoring the degradation of Rhodamine B (RhB) dye under simulated sunlight. Spectrophotometric analysis was used to assess the colour coordinates using a standard colour system (CIELAB colour space). The results showed that the photocatalytic coatings improved the surfaces' self-cleaning properties while maintaining the substrate's original aesthetics. Spray-applied micro-ZnO-based coatings showed the most significant effectiveness in terms of self-cleaning.

Visible diffuse reflectance smartphone spectrometer with high spectral accuracy

A smartphone-based spectrometer employing principle of diffuse reflection is reported for the surface analysis of solid samples. The instrument utilizes a thin-film grating to diffract incoming light, while a diffuse reflecting surface projects the image of this diffracted light onto the detector plane. The CMOS camera of smartphone camera directly captures the diffusely reflected photons within its limited field-of-view thus eliminating the need for collection, conditioning and converging optics. The optical setup of the instrument provides facility to calibrate the spectral response considering the nonlinear distribution of the wavelength across the diffraction direction. Additional correction in the detector response at different light intensity results a reduced spectral error with a maximum wavelength resolution of δλ=0.08 nm/pixel in the camera within the spectral range Δλ = (400 – 700) nm. As a proof of the concept, the instrument demonstrates successful detection of color pigments in food samples by absorption measurement of the samples at an average spectral error < 6 %. The distinct absorption peak associated with standard food colors are compared against the absorption profile of unknown food colors used in pastry cake. This field-functional smart analysis with internet connectivity opens opportunity of identifying food adulteration by using toxic chemical colors at the point-of-test and immediate reporting to others. The overall instrument is fabricated by utilizing low-cost and light weight plastic wood to make compact (110 mm × 105 mm × 125 mm), robust, inexpensive (∼$ 50) and suitable for field-portable (∼145 gm) hand-held operation.

Preliminary anticancer activity of Carpobrotus edulis (L.) Bolus exposed to low and high temperature conditions against cervical cancer

Introduction: Environmental temperature conditions might influence the composition of secondary metabolites in certain medicinal plants. This study aimed to examine how some of the phytochemicals and anticancer properties of Carpobrotus edulis may be impacted by temperature conditions. Methods: The plant specimens were kept in growth chambers at 15/10 °C and 45/35 °C (day/night), and harvested at 48-hour intervals (48, 96, and 144 hours). Control conditions were maintained at 25/15 °C. Standard phytochemical colour tests were used to determine the presence of eight phytochemicals. The anticancer activity against cervical cancer cell lines was determined using cell viability assay, cell morphology, Hoechst staining, and wound healing assays. Results: The phytochemical screening showed the presence of all tested phytochemicals (phenolics, flavonoids, terpenoids, saponins, tannins, steroids, and cardiac glycosides) in all treatments except for saponins in the 96- and 144-hour temperature treatments. A noteworthy IC50 value of 284.9 µg/mL was determined from the methanolic leaf extract exposed to high temperatures for 144 hours against cervical cancer. Treatment with this extract suggested changes in cancer cell morphology, signs of apoptosis, and cell migration inhibition. Conclusion: The preliminary results obtained suggest that the C. edulis methanolic extract has potential anticancer properties against cervical cancer. These observations may have implications for the indigenous plant use in treating various ailments and broaden the type of anticancer research involving this plant.

The Effect of Chicken Bones Powder Adsorbent Mass and its Contact Time on Reducing Color Concentration in Peat Water Treatment

Peat water is surface water or ground water which is found abundantly in tidal, swampy and lowland areas. It has a reddish-brown color, with an acerbic taste (high acidity), and has a high organic content. Peat water can be treated using the adsorption method. Adsorption is a physical phenomenon in which the molecules of the adsorbed material are attracted to a solid surface, which acts as an adsorbent. In this study, the authors used the adsorption method to reduce the color concentration of peat water using activated chicken bones powder as an adsorbent and observing the changes that occur when mass of powder to the amount of 0.1, 0.2, 0.3, 0.4, 0.5, 1.0, 1.5 and 2.0 grams were added to 50 ml of peat water with contact time that varied from 20, 30, 40, 50 and 60 minutes. From this study, we conclude that the optimum yield was obtained when the mass and contact time were at 0.5 grams and 40 minutes, which yield a percentage of reduction of 95.59%, wherein the initial color concentration of peat water at 337.816 was reduced to 14.89 Pt-Co, which is in line with the standard color for clean water as specified in a Regulation by the Minister of Health of the Republic of Indonesia No. 492/MENKES/PER/IV/2010, which state the standard color for clean water is 15 Pt-Co.

Formulation and analysis of acrylic emulsion coatings with chrome yellow, phthalocyanine blue, and red oxide pigments using high speed disperser and bead mill techniques

A major commercial problem is achieving stable and fine particle pigment dispersion, especially for aqueous pigment dispersions. It is essential to optimize dispersants in order to moisten, disperse, and stabilize pigments throughout the milling process. This study focuses on formulating acrylic emulsion coatings using chrome yellow, phthalocyanine blue, and red oxide pigment concentrates. The formulations were developed using both high-speed dispersers (HSD) and bead mills. A quality evaluation of the products from the two milling techniques was carried out. Formulations made with chrome yellow, phthalocyanine blue, and red oxide pigment concentrates in a water-based, binder-free system using bead mills, Tween-80, SLS, and cocosulphosuccinate surfactants showed narrower particle size distributions and stronger color than those made with HSD. Specifically, formulations prepared with bead mills and the aforementioned surfactants demonstrated superior color strength compared to those prepared with HSD. The color shade of acrylic emulsion coatings formulated with phthalocyanine blue and red oxide pigment concentrates, along with Tween-80 and cocosulphosuccinate surfactants using HSD, matched the standard color shade formulations prepared in bead mills. However, formulations using phthalocyanine blue pigment concentrates with SLS and oleylsulphosuccinate surfactants in HSD did not match the standard color shade prepared in bead mills.

Public’s Visual Preferences Survey Facilitates Community-Based Design and Color Standards Creation

According to research, there is a disparity in the aesthetic design preferences of the public and architects. This is especially noticeable in urban areas environments, where there is a wide range of demographic variables and a lack of active public involvement in decision-making. The study included a visual preference survey to evaluate the perception and ranking of two dominant color schemes in local development projects in Stockholm across different age, ethnicity, and gender groups from Sweden. Over 400 people participated in the survey, which used photo-elicitation and a literature review. The objective was to determine the extent of divergence and disparities in the ranking of color schemes. The first dominant color schemes are a group of four analogous colors related to the Natural Color System’s (NSC’s) basic colors. The second is a group of four neutral colors that are related to grayscale colors. The study demonstrates that one could also measure building color schemes using visual preference ranking. Moreover, the research introduced a unique method for city planners to understand diverse ethnic, gender, and age group perceptions of color schemes in current projects, promoting active participation in decision-making and providing valuable insights. These insights can enhance people’s sense of belonging, a prerequisite for social sustainability, and improve the quality and profitability of future projects.

Exploring the relationship of colour categorization with pork colour standards under different subjective and objective conditions

The impact of using incorrect lighting while subjectively scoring pork colour with subjective standards (Japanese, Canadian, and Kodak grey) was explored. Lightness was more important than a good colour match between standards and meat. Subjective and image-based automated scoring with Canadian standards were correlated at 0.71–0.77 (P < 0.001) with significant differences in scale distribution (D = 0.14–0.46; P < 0.002), primarily with moderately dark meat. Automated scoring on full colour and greyscale images were strongly related (r = 0.83, P < 0.001) and showed matching score distributions when whole scores were used. Tracking automated colour categorization during blooming showed very good potential for reliable categorization after 1 min exposure to air for most meat colours, indicating that reliable automated on-line sorting of pork for colour is easily within reach.

Shining a Light on the Specimen Room: Enhancing Global Research on Bird Eggs through Standardized Digital Archives

Bird egg collections in natural history museums are valuable resources for studies such as how birds’ eggs may evolve under different environmental conditions, providing information that is critical in our changing world and of great interest to scientists. However, the millions of bird egg specimens, many collected over 100 years ago, are often not prioritized in digitized archives. To assess the current status of digitized egg specimens, we examined data available on open-source platforms such as iDigBio, based on the Marini et al. (2020) review of egg collections. Millions of bird egg specimens are preserved in museums worldwide, but only about 21% have been digitally cataloged and made accessible on global platforms, mostly from Western countries. While the technology used for extracting features from digital objects has greatly advanced for studying the size, color and spottiness of eggs (e.g., SpotEgg), the digitized specimens may not be formatted to meet the needs for research, thereby limiting their application. For example, among eight museums with digitized collections, images from six include a scale, but only the Yale Peabody Museum also incorporates a color chart with standardized gray patches for calibration (e.g., Calibrite Color Checker). Furthermore, coordinates obtained through georeferencing are essential for studying environmental influences on egg traits. Yet, fewer than half of the specimens (49%) have been georeferenced. Here we demonstrate how properly digitized specimens—using a dark background, adding a scale, and incorporating a standard color chart in the photo—can be utilized to study the evolution of egg color in birds. We urge the adoption of a standard digitization protocol for bird egg collections, the enhancement of georeferencing for the specimens, and the integration of local databases into global platforms to increase accessibility for the scientific community. These procedures should also be implemented at the early stage of the digitization process to maximize the value of digitized specimens.

Live Dimension Detection During Machining of Workpiece using Smart Detection Set up on General-Purpose Lathe

In a manufacturing setting, the profile dimensions of the workpiece are key quality factors. Various automatic inspection approaches currently assess dimensions based on characteristics and variables, tool paths as OK or Not OK in CNC, and online inspection methods for other machines after manufacturing. However, continuous on-machine profile dimensions and simultaneous manufacturing were left to focus. An intelligent recognition system based on a laser lines sensor using a smart profile dimension detection algorithm (SPDA) communicates real-time measurement information to the operator. It plots the current status of the Workpiece, mapping linear distance by accurate laser reflection of the exact mid-surface line of the workpiece as profile data of a symmetric shaft. It compares the length-diameter obtained from longitudinal and lateral sensors with the master data provided. The algorithm implements Python libraries for displaying panels and organizing workpieces. The standard image changes color from red to green as it is relevant to the status. The predetermined order of manufacturing parts and gradient descent optimization feature sets benchmarks to display the status of the workpiece. The real-time live measurement is facilitated with an error of less than 10%, i.e., 0.1 mm, saving manufacturing time by 30%. It also eliminates the inspection stage, and no reduced job rejection is found.

Effect of the addition of different forms of rosemary (Rosmarinus officinalis L.) on the quality of vacuum-packed minced pork

Abstract Introduction Apart from their antioxidant activity, plant-derived bioactive compounds can also positively affect the quality of meat and meat products by improving their sensory and microbiological properties and preventing discolouration. The aim of this study was to determine how the addition of different forms of rosemary improved the quality of pork. Material and Methods Minced pork samples were divided into a control sample without additives (C) and three experimental samples with certified additives (15 mg/kg of meat each), i.e. rosemary oleoresin (ROL), extract (REX) and essential oil (REO). Each was further divided into three subsamples; the first was evaluated before storage, and the second and third were evaluated after respective 7- and 14-day vacuum-packed storage at 2°C. The TBARS value was expressed as mg of malondialdehyde (MDA) per kg of meat. Colour was determined based on the values of the standard colour space values of L* (lightness), a* (redness) and b* (yellowness) as well as C* (chroma) and h° (hue angle). Sensory attributes of the samples were evaluated on a nine-point scale. The pour-plating procedure was used for the enumeration of Pseudomonas, mesophilic lactic acid bacteria, psychrotrophic bacteria and rods of the Enterobacteriaceae family. Within each bacterial group, the most common colonies were identified by matrix-assisted laser desorption and ionization (MALDI). Results Lipid oxidation was most effectively inhibited by REO. The addition of ROL and REO to pork lightened its colour. Meat with REO had stronger redness, whereas meat with ROL had stronger yellowness. The addition of REX affected the sensory properties of pork most beneficially. Neither Enterobacteriaceae nor Pseudomonas spp. were detected in REO pork, which also contained lower counts of lactic acid bacteria than group C pork. Conclusion The results of this study indicate that rosemary has antioxidant and antimicrobial properties, and may improve the colour and sensory attributes of pork. The effect exerted by rosemary on meat quality may vary depending on the physical form of the additive.

Deriving the cone fundamentals: a subspace intersection method.

Two ideas, proposed by Thomas Young and James Clerk Maxwell, form the foundations of colour science: (i) three types of retinal receptors encode light under daytime conditions, and (ii) colour matching experiments establish the critical spectral properties of this encoding. Experimental quantification of these ideas is used in international colour standards. However, for many years, the field did not reach consensus on the spectral properties of the biological substrate of colour matching: the spectral sensitivity of the cone fundamentals. By combining auxiliary data (thresholds, inert pigment analyses), complex calculations, and colour matching from genetically analysed dichromats, the human cone fundamentals have now been standardized. Here, we describe a new computational method to estimate the cone fundamentals using only colour matching from the three types of dichromatic observers. We show that it is not necessary to include data from trichromatic observers in the analysis or to know the primary lights used in the matching experiments. Remarkably, it is even possible to estimate the fundamentals by combining data from experiments using different, unknown primaries. We then suggest how the new method may be applied to colour management in modern image systems.

Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD

Hematoxylin and Eosin (H&E) color variation among histological images from different laboratories can significantly degrade the performance of Computer-Aided Diagnosis systems. The staining procedure is the primary factor responsible for color variation, and consequently, the methods designed to reduce such variations are designed in concordance with this procedure.In particular, Blind Color Deconvolution (BCD) methods aim to identify the true underlying colors in the image and to separate the tissue structure from the color information. Unfortunately, BCD methods often assume that images are stained solely with pure staining colors (e.g., blue and pink for H&E). This assumption does not hold true when common artifacts such as blood are present, requiring an additional color component to represent them. This is a challenge for color standardization algorithms, which are unable to correctly identify the stains in the image, leading to unexpected results.In this work, we propose a Blood-Robust Bayesian K-Singular Value Decomposition model designed to simultaneously detect blood and extract color from histological images while preserving structural details. We evaluate our method using both synthetic and real images, which contain varying amounts of blood pixels.

Adaptive Color Transfer From Images to Terrain Visualizations.

Terrain mapping is not only dedicated to communicating how high or steep a landscape is but can also help to indicate how we feel about a place. However, crafting effective and expressive elevation colors is challenging for both nonexperts and experts. In this article, we present a two-step image-to-terrain color transfer method that can transfer color from arbitrary images to diverse terrain models. First, we present a new image color organization method that organizes discrete, irregular image colors into a continuous, regular color grid that facilitates a series of color operations, such as local and global searching, categorical color selection and sequential color interpolation. Second, we quantify a series of cartographic concerns about elevation color crafting, such as the "lower, higher" principle, color conventions, and aerial perspectives. We also define color similarity between images and terrain visualizations with aesthetic quality. We then mathematically formulate image-to-terrain color transfer as a dual-objective optimization problem and offer a heuristic searching method to solve the problem. Finally, we compare elevation colors from our method with a standard color scheme and a representative color scale generation tool based on four test terrains. The evaluations show that the elevation colors from the proposed method are most effective and that our results are visually favorable. We also showcase that our method can transfer emotion from images to terrain visualizations.

In-situ synthesis of quaternary alkylammonium ligand capped organic-inorganic hybrid halide perovskite for high pure green luminescence in display application

This study delves into the intricate dynamics of ligand engineering for the synthesis of Methyl Ammonium Lead Bromide (MAPbBr3) nanocrystals (NCs), which exhibit immense potential in optoelectronic and photovoltaic applications. Our focus centres on the role of the quaternary ammonium molecule CTAB as a ligand in stabilizing MAPbBr3 NCs. This also addresses the challenges related to the stability and surface defects of NCs that hinder their commercial viability. Employing a modified ligand-assisted reprecipitation technique (LARP) with a dual solvent system, we optimized the CTAB concentration to 0.05 mmol, resulting in MAPbBr3 NCs with an impressive 88% quantum yield. XPS and FTIR analyses confirm the presence and binding of CTAB on the NC surface. The MAPbBr3-CTAB NCs exhibit higher exciton–phonon binding energy, enhancing their optical properties. Despite an unfavourable geometric fit, CTAB is effective in surface defect passivation due to its binding, solvation, and desorption energy during the dynamic binding process. 2D-DOSY NMR reveals approximately 66% CTAB bound to the NC surface. A comparative study involving MAPbBr3-OA, OLA, and MAPbBr3-CTAB deposited on LEDs demonstrates the superior performance of the latter, achieving a luminous efficiency of 42.18 lm W−1 at 1.2 ml deposition. These findings highlight the efficacy of CTAB in achieving high-purity green luminescence, aligning with BT.2020 display colour standards and paving the way for advanced optoelectronic applications. The successful synthesis and improved performance of MAPbBr3-CTAB NCs underscore their potential as a promising material for future optoelectronic and photovoltaic technologies.