Color Visualization Research Articles

Pengembangan Media Pembelajaran Blended Learning Berbasis geo.ID Moodle Pada Materi Mitigasi Bencana Untuk Meningkatkan Hasil Belajar Kognitif Peserta Didik Kelas XI SMA Negeri 1 Sukoharjo Tahun Ajar 2021/2022

<div class="WordSection1"><p><em>The purposes of this research were: (1) To know the student's needs for the development of geo.ID Learning Media based on blended learning (moodle), (2) To know the feasibility of geo.ID Learning Media based on blended learning (moodle), and (3) To know the effectiveness of geo.ID Learning Media based on blended learning (moodle) on Disaster Mitigation Materials to increase the outcomes of the students in XI grade SMA Negeri 1 Sukoharjo 2021/2022.</em></p><p><em></em><em>The method used in this research was Research and Development (R&D). It was developing the learning media from Moodle Software into geo.ID. The research subject consists of material experts, media experts, and students. The method of collecting data were interviews, observations, documentation, and tests.</em></p><p><em></em><em>The result of Research and Development are (1) The development of geo.ID Learning Media based on blended learning (moodle) adjusted with the student's needs which dominated by text learning style, learning experience or skills in using filter media, students were enthusiasts and agree with the development of media, blue colour visualization and Time New Roman font, (2) The development of geo.ID Learning Media based on blended learning (moodle) found much worthy for geography learning in XI Class SMA Negeri 1 Sukoharjo. It can be explained based on the results of the material expert's assessment which obtained 96% in the decent category, media experts obtained 86% in the decent category, individual trials and small group trials obtained 86% in the decent category. The data were collected using a Likert Scale. (3) The determination for used geo.ID learning media based on blended learning (moodle) was proven in increasing the learning outcomes on pretest-posttest which score was 76.3 while for the control class was 59.9</em><em>.</em></p><p> </p><p><em>Keywords : </em><em>Blended Learning Media, Moodle, geo.ID, Learning Outcome</em><em></em></p></div>

Design and implementation of a low‐cost portable reader for thermometric lateral flow immunoassay

AbstractLateral flow immunoassay (LFIA) is a widely used tool for point‐of‐care testing (POCT). Although the method is fast and inexpensive, it provides only qualitative or semi‐quantitative information, which limits the scope of its applications in POCT. Here, we report the development of a low‐cost, portable LFIA reader based on photothermal detection of reporters (such as colloidal gold and colored latex beads) captured on LFIA strips using a low‐power green laser as the heating source and a single‐element infrared sensor as the detector. For 40‐nm colloidal gold, we measured a detection limit of 3 × 105 particles/mm2 by laser irradiation of the reporters at 532 nm with an intensity of 20 W/cm2. The photothermal detection enables a 10‐fold enhancement in sensitivity over color visualization with the naked eye. More importantly, with the use of the control line intensities as internal calibrants, the results so obtained are quantitative and useful to support critical decision‐making in POCT, as demonstrated by gold‐based assays for human chorionic gonadotropin and human immunodeficiency virus as well as latex‐based assays for nucleocapsid protein of the SARS‐CoV‐2 virus.

Thermometric lateral flow immunoassay with colored latex beads as reporters for COVID-19 testing

Temperature sensing is a promising method of enhancing the detection sensitivity of lateral flow immunoassay (LFIA) for point-of-care testing. A temperature increase of more than 100 °C can be readily achieved by photoexcitation of reporters like gold nanoparticles (GNPs) or colored latex beads (CLBs) on LFIA strips with a laser power below 100 mW. Despite its promise, processes involved in the photothermal detection have not yet been well-characterized. Here, we provide a fundamental understanding of this thermometric assay using non-fluorescent CLBs as the reporters deposited on nitrocellulose membrane. From a measurement for the dependence of temperature rises on the number density of membrane-bound CLBs, we found a 1.3-fold (and 3.2-fold) enhancement of the light absorption by red (and black) latex beads at 520 nm. The enhancement was attributed to the multiple scattering of light in this highly porous medium, a mechanism that could make a significant impact on the sensitivity improvement of LFIA. The limit of detection was measured to be 1 × 105 particles/mm2. In line with previous studies using GNPs as the reporters, the CLB-based thermometric assay provides a 10× higher sensitivity than color visualization. We demonstrated a practical use of this thermometric immunoassay with rapid antigen tests for COVID-19.

Founder transformants of cotton (Gossypium hirsutum L.) obtained through the introduction of DS-Red, Rec, Rep and CRISPR/Cas9 expressing constructs for developing base lines of recombinase mediated gene stacking.

Cotton being the major fiber crop across the world is exposed to numerous biotic and abiotic stresses. Genetic transformation of cotton is vital to meet the world's food, feed and fiber demands. Genetic manipulation by randomly transferring the genes emanate variable gene expression. Targeted gene insertion by latest genome editing tools results in predictable expression of genes at a specified location. Gene stacking technology emerged as an adaptive strategy to combat biotic and abiotic stresses by integrating 2-3 genes simultaneously and at a specific site to avoid variable gene expression at diverse locations. This study explains the development of cotton's founder transformants to be used as a base line for multiple gene stacking projects. We introduced Cre and PhiC31 mediated recombination sites to specify the locus of incoming genes. CRISPR-Cas9 gene was integrated for developing CRISPR based founder lines of cotton. Cas9 gene along with gRNA was integrated to target Rep (replication) region of cotton leaf curl virus. Replication region of virus was specifically targeted to diminish further proliferation and preventing the virus to develop new strains. To successfully develop these primary transformants, a model transformation system has been optimized with the red color visualization (DS-Red). Following red color transformation system, three baselines with recombination specified site (Rec), targeted replication region (Rep) and Cas9 founder lines have been developed. These founder transformants are useful for developing recombinase mediated and CRISPR/Cas9 based originator lines of cotton. Moreover, these transformants will set up a base system for all the recombinase mediated gene stacking projects.

The Biological Activity of Mycosynthesized Silver Nanoparticles Against some Pathogenic Bacteria

This study was carried out for the mycosynthesis of silver nanoparticles by Candida albicans supernatant. All the isolates used in this study were taken from the patients who existed at Al-Elweya children's teaching hospital in Baghdad, Iraq. Mycosynthesized silver nanoparticles were characterized by color visualization, ultraviolet-visible (UV) spectroscopy, and Fourier transform infrared spectroscopy (FTIR). The UV-Vis spectroscopy examination has shown the highest absorbance (λmax) at the wavelength of 429 nanometers, which indicated the creation of silver nanoparticles. Furthermore, the results of the antibacterial potential of AgNO3 and AgNPs against Klebsiella pneumoniae and Staphylococcus haemolyticus bacteria showed the highest effect of AgNO3 against Staphylococcus haemolyticus when the diameter of the inhibition zone reached (14.00 mm). In contrast, the lowest effect of the AgNO3 was with the diameter of the inhibition zone that reached (11.66 mm). The highest effect of the AgNO3 against Klebsiella pneumoniae by the diameter of the inhibition zone was reached (12.66mm), while the lowest effect was (9.00mm). The highest effect of the AgNPs against Klebsiella pneumoniae by the diameter of the inhibition zone reached (16.00mm), while the lowest effect was (13.00mm). The highest effect of the AgNPs against Staphylococcus haemolyticus by the diameter of the inhibition zone was reached (17.33mm). Where the lowest effect by the diameter of the inhibition zone was reached (14.00mm). Interestingly, this revealed that Staphylococcus haemolyticus was more susceptible to silver nitrate (AgNO3) and silver nanoparticles (AgNPs) than Klebsiella pneumoniae.

Facile and Eco-Friendly Fabrication of Silver Nanoparticles Using Nyctanthes arbor-tristis Leaf Extract to Study Antibiofilm and Anticancer Properties against Candida albicans

The synthesis of silver nanoparticles has been gaining more attention in recent years due to their small size and high stability. For this study, silver nanoparticles were biosynthesized from leaf extract of the medicinal plant (N. arbor-tristis). Vitally, the shrub with tremendous medicinal usage was diversely observed in South Asia and South East Asia. The synthesized silver nanoparticles were characterized by color visualization, ultraviolet-visible spectrophotometry (UV-Vis), Fourier-transform infrared spectroscopy (FTIR), field emission-scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), and dynamic light scattering (DLS) technique. A sharp peak at 427 nm for biosynthesized nanoparticles was obtained using UV-Vis, which represents surface plasmon resonance. Thus, characterization techniques showed the green synthesis of AgNPs leads to the fabrication of spherical shape particles with a size of 67 nm. Furthermore, AgNPs were subjected to antibiofilm studies against Candida albicans and it was observed that 0.5 μg mL−1 of AgNPs significantly reduced 50% of biofilm formation. These biosynthesized nanoparticles also showed a considerable reduction in viability of HeLa cells at 0.5 μg mL−1. The morphological changes induced by AgNPs were observed by AO/EB staining. The toxic effect of AgNPs was studied using brine shrimp as a model system. Therefore, it is envisaged that further investigation with these AgNPs can replace toxic chemicals, assist in the development of biomedical implants that can prevent biofilm formation, and avoid infections due to C. albicans.

Visual Data Analysis Technology Based on Data Center

Today, people are in an information explosion society, and visualization technology(VT) is an inevitable product of the development of the information society. With the emergence of multimedia products such as computers, networks, and communications, humans are paying more and more attention to data processing. Many countries in the world have already begun research in this area and have achieved remarkable results. VT is a core part of data analysis, also known as information processing and storage technology. It has a very extensive and important application in the field of data management. However, because the key information hidden in the data is often immersed in the massive data, it is necessary to filter the data information efficiently, and the visualization data analysis technology is a crucial part. This article adopts the experimental analysis method, which aims to provide a new method to solve the problems of traditional technology and the challenges that may arise in the future by further understanding the existing visual data analysis technology and development trend. According to the research results, the recognition rate of the optimized color visualization features under different classifiers is higher than that of the original emotional features. It can be seen that visual analysis technology is not limited to data sets with physical meaning, but can also be applied to abstract feature sets such as emotional features.

Paper-based immunoassay based on 96-well wax-printed paper plate combined with magnetic beads and colorimetric smartphone-assisted measure for reliable detection of SARS-CoV-2 in saliva

Coronavirus disease 2019 (COVID-19) has been recognized as a global pandemic outbreak, opening the most severe socio-economic crisis since World War II. Different scientific activities have been emerged in this global scenario, including the development of innovative analytical tools to measure nucleic acid, antibodies, and antigens in the nasopharyngeal swab, serum, and saliva for prompt identification of COVID-19 patients and to evaluate the immune response to the vaccine. The detection of SARS-CoV-2 in saliva remains a challenge for the lack of sufficient sensitivity. To address this issue, we developed a novel paper-based immunoassay using magnetic beads to support the immunological chain and 96-well wax-printed paper plate as a platform for color visualization by using a smartphone combined with Spotxel free-charge app. To assess the reliability of the measurement of SARS-CoV-2 in saliva, untreated saliva was used as a specimen and the calibration curve demonstrated a dynamic range up to 10 μg/mL, with a detection limit equal to 0.1 μg/mL. The effectiveness of this sustainable analytical tool in saliva was evaluated by comparing the data with the nasopharyngeal swab specimens sampled by the same patients and tested with Real-Time PCR reference method, founding 100% of agreement, even in the case of high Cycle Threshold (CT) numbers (low viral load). Furthermore, the positive saliva samples were characterized by the next-generation sequencing method, demonstrating the capability to detect the Delta variant, which is actually (July 2021) the most relevant variant of concern.

Mycosynthesis of Silver Nanoparticles by Candida albicans Yeast and its Biological Applications.

This study conducted a mycosynthesis of silver nanoparticles (AgNPs) by Candida albicans supernatant. The mycosynthesized AgNPs were identified by color visualization, ultraviolet-visible (UV) spectroscopy device, X-ray diffraction (XRD), energy dispersive analysis of X-ray (EDX), field emission scanning electron microscope (FESEM), and zeta potential analysis. The UV-Vis spectroscopy examination has shown the highest absorbance (λmax) at the wavelength of 429 nanometers, which was the indicator of the creation of AgNPs. Furthermore, XRD showed the crystalline structure of AgNPs, and EDX revealed the weight percentage of silver atoms in the sample (82.4%). According to the FESEM, the morphology of AgNPs was spherical, and its size was 40.19 nanometers. Zeta potential analysis indicated that AgNPs were middling stable in the solution, and the zeta potential of AgNPs mycosynthesized by C. albicans was-23.02 mV. The cytotoxic effect of AgNPs against a human colon cancer cell line using MTT assay has shown the presence of toxic action against the cells, and no cytotoxic effect appears on the normal cells. The antioxidant activity of AgNPs using DPPH assay demonstrated 17.0%, 29.3%, 48.3%, 67.6%, and 83.6% at concentrations of 6.25, 12.5, 25, 50, and 100 µg/ml, respectively. The impact of AgNPs on the chromosomal pattern has also been studied. The importance of this study lies in the possibility of the synthesis of AgNPs using this yeast since most nanoparticle preparation methods utilize molds.

Improved interactive color visualization approach for hyperspectral images

Hyperspectral images (HSIs) have become increasingly prominent as they can maintain the subtle spectral differences of the imaged objects. Designing approaches and tools for analyzing HSIs presents a unique set of challenges due to their high-dimensional characteristics. An improved color visualization approach is proposed in this article to achieve communication between users and HSIs in the field of remote sensing. Under the real-time interactive control and color visualization, this approach can help users intuitively obtain the rich information hidden in original HSIs. Using the dimensionality reduction (DR) method based on band selection, high-dimensional HSIs are reduced to low-dimensional images. Through drop-down boxes, users can freely specify images that participate in the combination of RGB channels of the output image. Users can then interactively and independently set the fusion coefficient of each image within an interface based on concentric circles. At the same time, the output image will be calculated and visualized in real time, and the information it reflects will also be different. In this approach, channel combination and fusion coefficient setting are two independent processes, which allows users to interact more flexibly according to their needs. Furthermore, this approach is also applicable for interactive visualization of other types of multi-layer data.

Uji Deteksi Adulterasi Daging Babi (Sus scrofa domestica) pada Bakso Metode Loop-Mediated Isothermal Amplification

Composition adulteration in a product is still a serious problem. For that we need a DNA-based test method that is fast, specific and simple. In this study, a rapid test technique with the loop-mediated isothermal amplification method was applied to identify the presence of pork DNA in meatballs. Six primers were used for the identification of mitochondrial DNA cytochrome oxidase subunit II. Samples were prepared in the form of mixed beef meatballs containing pork with a concentration of 50; 5; 0.5; 0.05%, respectively. The results showed that the optimal concentration for primers was 4 pmol inner primers, 2 pmol loop primers, and 1 pmol outer primers. The LAMP reaction showed a change in color in the meatball sample with the pork mixture to the lowest concentration. The LAMP technique provides a faster test with the final result of on-the-spot color visualization so that it is potential to be developed as a quick detection kit for identification of halal food processed products

Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method

This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle head using cone-beam computed tomography (CBCT) and an automated method for measuring cortical thickness with a color display based on the segmentation results. In total, 12,800 CBCT images from 25 normal subjects, manually labeled by an oral radiologist, served as the gold-standard. The segmentation model combined a modified U-Net and a convolutional neural network for target region classification. Model performance was evaluated using intersection over union (IoU) and the Hausdorff distance in comparison with the gold standard. The second automated model measured the cortical thickness based on a three-dimensional (3D) model rendered from the segmentation results and presented a color visualization of the measurements. The IoU and Hausdorff distance showed high accuracy (0.870 and 0.928 for marrow bone and 0.734 and 1.247 for cortical bone, respectively). A visual comparison of the 3D color maps showed a similar trend to the gold standard. This algorithm for automatic segmentation of the mandibular condyle head and visualization of the measured cortical thickness as a 3D-rendered model with a color map may contribute to the automated quantification of bone thickness changes of the temporomandibular joint complex on CBCT.

Development of a Cultural-Based Application at Kampoeng Heritage Kajoetangan as a Learning Media for Tourists

Kampoeng Heritage Kajoetangan is an area located in the heart of Malang City. 60 preserved heritage buildings are still occupied by the community to this day. Kampoeng Heritage Kajoetangan is a common thread in the history of the struggle of the Indonesian nation and the history of the city of Malang, which has many assets that must be preserved and explained to tourists. This study’s researchers developed an application entitled KAMPOENG HERITAGE KAJOETANGAN as a medium of learning about the culture in this village, including historical information, knowledge systems, language, systems and technology equipment, and art, livelihood, religious and social systems. This application was developed following the Borg & Gall development model which was simplified into 4 steps given the time restrictions, namely: Research and Data Collection, Planning, Product Draft Development, and Final Product Completion. The visualization of illustrations, fonts, colors, and music featured in this product have an Indische nuance, making it easier for tourists to learn and foster an aesthetic experience like going back in time.
 Keywords: interactive multimedia, culture, Kampoeng Heritage Kajoetangan, education, tourists

PROFIL DAN ANALISIS AKTIVITAS ANTIOKSIDAN DALAM EKSTRAK AIR MENIRAN YANG DIKERINGKAN DENGAN METODE YANG BERBEDA <br><i> Profile and Analysis of Antioxidant Activity in Dried Meniran Water Extracts using Different Methods </i></br>

Meniran (Phyllanthus niruri Linn.) is a medicinal plant that can reduce obesity status, hypoglycemic, hypotensive, and have antioxidant activity. Meniran has been long used as a medicinal plant, but its utilization in a form of water infusion is still rare. This research is a continuation study which aims to identify the biomolecules that have antioxidant activity in water infusion of meniran. The making of water infusion of meniran requires drying process, which can be done by room temperature drying and sun drying. Phenol and fl avonoid compounds in meniran are assumed to have antioxidant activity. Both compounds are easily oxidized and isomerized due to sun exposure. It is assumed that the drying method will aff ect the presence of phenol and fl avonoid compounds and its antioxidant activity. The study began with the process of sun drying and room temperature without direct sun exposure. Then the extraction process used water soxhlet by soxhlet extraction method. The extract was then tested qualitatively using the DPPH IC50 method. The results of the qualitative analysis with meniran color visualization are positive containing fl avonoids and phenols. The results of quantitative analysis of meniran which are dried by sun drying; fl avonoids 0.90% w/w and 1.65% w/w phenols, in samples stored at room temperature: 2.00% w/w fl avonoids and phenol 56.16% w/w. The antioxidant activity of IC50-DPHH in extract concentrations (2, 4, 6, 8, 10, 15, 20 ppm) of dried meniran at room temperature 18.48 ppm, sun drying cannot be determined.

Control of Structural Coloration by Natural Sunlight Irradiation on a Melanin Precursor Polymer Inspired by Skin Tanning.

Natural melanin affects the reflection and absorption of light, and it is known as an important element in producing bright structural colors in nature. In this study, we prepared core-shell particles using a melanin precursor polymer, that is, polytyrosine (PTy), as a shell layer by the oxidative polymerization of tyrosine ethyl ester (Ty) in the presence of cerium oxide (CeO2) core particles. Inspired by skin tanning, irradiating the CeO2@PTy core-shell particles with UV or natural sunlight caused melanization by extending the π-conjugated length of PTy, producing colloidal particles with the ability to absorb light. The pellet samples consisting of CeO2@PTy particles appeared whitish because of multiple scattered light. In contrast, the light absorption capacity of CeO2@PTy UV or CeO2@PTy Sun particles after light irradiation suppressed scattered light, dramatically improving the visibility of the structural color of the pellet samples made from these particles. Thus, a new method has been developed to control the visualization of structural colors to the human eye by irradiating the melanin precursor polymer with light.

A Multiclass Detection System for Android Malicious Apps Based on Color Image Features

The visual recognition of Android malicious applications (Apps) is mainly focused on the binary classification using grayscale images, while the multiclassification of malicious App families is rarely studied. If we can visualize the Android malicious Apps as color images, we will get more features than using grayscale images. In this paper, a method of color visualization for Android Apps is proposed and implemented. Based on this, combined with deep learning models, a multiclassifier for the Android malicious App families is implemented, which can classify 10 common malicious App families. In order to better understand the behavioral characteristics of malicious Apps, we conduct a comprehensive manual analysis for a large number of malicious Apps and summarize 1695 malicious behavior characteristics as customized features. Compared with the App classifier based on the grayscale visualization method, it is verified that the classifier using the color visualization method can achieve better classification results. We use four types of Android App features: classes.dex file, sets of class names, APIs, and customized features as input for App visualization. According to the experimental results, we find out that using the customized features as the color visualization input features can achieve the highest detection accuracy rate, which is 96% in the ten malicious families.

THE TRADITIONAL MALAY COLOUR PALETTE FOR CONTEMPORARY DESIGN REFERENCES

Colours play an important role in the Malay culture from an aesthetics point of view. The names of colours were given by the Malays themselves based on close observation of their immediate surroundings. Predominantly used colours were found repeated in the descriptions of traditional cultural products. As such, this study aimed to codify the shades which have been used in product descriptions of the past. 233 names of colours were collected and 49 prominent colours were then identified from the various literature analysed. The names obtained were subsequently analysed and matched to the database Istilah Warna Berilustrasi published by Malaysia’s Dewan Bahasa dan Pustaka (DBP). 29 colours were also successfully visualised and defined using the Hexadecimal (HEX) colour codes for describing colour composition. The findings strived to revitalise the traditional Malay colour palette as a source for colour referencing in contemporary design.Keywords: Colour visualisation, Malay cultural elements, Malay colour heritage, colour codes, HEX colour codes.

Intermetallic Co-Pt/C Nanoparticles Synthesized Via Sonochemical Method As Enhanced Electrocatalysts for Cathode of PEMFC

For fuel cell stack of 80 kW, platinum for electrocatalyst requires around 10 g per fuel cell electric vehicle (FCEV). A large-scale synthesis method for the low-platinum catalyst is necessary for this field to reduce man-power. Ultrasound-assisted polyol synthesis (UPS) is a method for the preparation of small and uniform size transition metal core-platinum shell nanoparticles evenly distributed on the support. Platinum(Ⅱ) acetylacetonate, Cobalt(Ⅱ) acetylacetonate, and carbon support were dispersed in ethylene glycol which is reducing agent and irradiated by ultrasound for 3 h to reduce the precursor to metal nanoparticles, followed by washing and drying to obtain a powder. The characterization was observed by solution color visualization, X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope (TEM), inductively coupled plasma atomic emission spectroscopy (ICP-AES) and electrocatalytic performance. Also, the synthesized samples were calcined at various temperatures to cause the atomic rearrangement to the most stable arrangement, and atomic accumulation of boundary between each atom and compression of platinum lattice that affects activity or durability of electrocatalyst has changed. Synthesized sample with optimized synthesis and treatment condition shows improved electrochemically active surface area (ECSA) and Oxygen reduction reaction (ORR) catalytic activity in the half-cell test and durable catalytic activity in the performance evaluation of membrane-electrode assembly (MEA) compared to existing Platinum catalyst. As renewable energy conversion and storage system is one of the main challenges, FCEV is developed to solve pollution from CO2 emission and oil depletion issues. Our low-platinum nanoparticle with uniform distribution synthesized using a sonochemical method will replace precious metal catalysts used in fuel cells instead of platinum catalysts.

Separation of Anthocyaninic and Nonanthocyaninic Flavonoids by Liquid–Liquid Extraction Based on Their Acid–Base Properties: A Green Chemistry Approach

Anthocyanins are natural pigments belonging to the flavonoid family that generate the red, blue, and purple colors of fruits, vegetables, and flowers. Their structure and color are dependent on various factors, like the pH. Anthocyanins appear red in acidic, purple in neutral, and blue in basic solutions, making them suitable for use as natural pH indicators. Thus, petals of flowers could be an attractive pedagogic tool for laboratory activities due to the high content of anthocyanins, but the presence of copigments such as flavonols and flavones modifies the characteristic anthocyanin colors in pH studies. Therefore, a simple and ecological liquid–liquid extraction was developed for the separation of anthocyaninic and nonanthocyaninic flavonoids, based on the different acid–base properties of these two classes of pigments. Treatment with NaOH allowed the detection of nonanthocyanin flavonoids in the organic phase through the development of a deep yellow color. Colorimetric analysis of the aqueous anthocyaninic fractions enabled visualization of the typical colors from different forms of anthocyanins, demonstrating the efficacy of the separation method. It was also possible to distinguish if the red pigments of the flower were anthocyanins or betalains. Thus, the beautiful colors of flowers make them an accessible and attractive source of pigments that can be used to demonstrate acid–base properties of organic molecules, solid–liquid and liquid–liquid extraction techniques, intermolecular interactions, and solubility properties. This protocol could be implemented in practical classes of chemistry and biochemistry degrees, being particularly useful for teaching fundamentals of organic chemistry and color chemistry.

Calidad de la visión en endoscopia en tiempos de pandemia: ¿Influyen los EPP en la calidad visual durante la endoscopia digestiva?

IntroductionIn the midst of the SARS-CoV-2 virus (COVID-19) pandemic, health professionals, specifically gastroenterologists, have had to use personal protective equipment (PPE) to reduce contact with droplets and aerosols generated during gastrointestinal endoscopy. ObjectiveTo evaluate the impact of the use of two types of PPE on quality of vision during gastrointestinal endoscopy. MethodsA cross-sectional observational pilot study in gastroenterologists who undergo an ophthalmological examination of visual acuity and quality of vision when using two types of PPE. Type #1: 3M N95 1860 green respirator + 3M mono safety glasses + protective screen. Type #2: 3M 6800 full facepiece + 3M NIOSH 7093C HF/P100 filters. ResultsVisual acuity and quality of vison parameters while using the PPE that is routinely used when performing gastrointestinal endoscopy during the pandemic were evaluated. It was found that Modality #1 was associated with decreases of up to 37% in visual acuity, 25% in colour visualisation and 75% in contrast sensitivity among digestive endoscopists within minutes of placement. These figures worsened over the course of the procedure, rising to 75%, 60% and 100%, respectively. Modality #2 was not associated with any deterioration in quality of vision. ConclusionsThe different PPE modalities used during gastrointestinal endoscopy could have an impact on the quality of endoscopy studies performed during the SARS-CoV-2 (COVID-19) pandemic.