Source Of Honey Research Articles

Nectar and pollen source of natural honey produced by Apis cerana skorikovi Engel (= himalaya): Palynological analysis from tropical to sub-tropical forests of eastern Himalaya

This study deals with the palynological analysis of natural “Himalayan cerana” honey collected from the tropical to sub-tropical forests of the eastern Himalaya (West Sikkim, Ziro valley of Arunachal Pradesh and sub-Himalayan region of West Bengal). A total of 12 honey samples were analysed. Among the six samples from Sikkim, one is found unifloral and remaining five samples are found to be multifloral. Similarly, the Kolakham (West Bengal) sample is found multifloral, whereas both the honey samples of Alipurduar (West Bengal) are found to be unifloral. All the three Arunachal Pradesh samples are found multifloral. Absolute pollen count (APC) reveals that the unifloral winter honeys are poor in APC compared to the multifloral ones. Significant occurrence of anemophilous pollen grains in honey samples points towards theirr entrapment either during long distance flight of the bees or on the sticky hive surfaces. The nectar calendars show that winter season is the honey dearth period in the study areas of the eastern Himalaya. Finally, the diversity and richness of the pollen grains in the honey samples also reflect the bee plant diversity of the surroundings. The study may further be useful to assess the potentiality for establishing a moderate to large-scale bee-keeping industry which may provide an alternate source of livelihood to improve the socio-economic set up of the local economically backward ethnic communities.

Optimization of HS-SPME/GC-MS Method for Determining Volatile Organic Compounds and Sensory Profile in Cocoa Honey from Different Cocoa Varieties (Theobroma cacao L.).

This study aimed to develop an analytical method using HS-SPME/GC-MS to determine the volatile organic compound (VOC) profiles and evaluate the sensory attributes of cocoa honey from four cocoa varieties (CCN51, PS1319, SJ02, and Parazinho). Using a multivariate factorial experimental design, the HS-SPME/GC-MS method was optimized to determine the VOC profiles. Twenty previously trained tasters participated in the ranking descriptive analysis, while 108 consumers participated in the acceptance and purchase intention tests. A total of 84 volatile organic compounds were identified from various chemical classes, including acids, alcohols, aldehydes, esters, ketones, monoterpenes, oxygenated monoterpenoids, sesquiterpenes, and oxygenated sesquiterpenoids. Palmitic acid was the compound found in the highest concentration in all varieties (5.13-13.10%). Multivariate analysis tools identified key compounds for differentiation and grouping of the samples. The results revealed that the variety significantly influenced both the VOCs' concentrations and sensory profiles. The CCN51, PS1319, and SJ02 varieties exhibited the highest diversity of VOCs and sensory attributes. Notably, the SJ02 and CCN51 varieties demonstrated superior acceptability and purchase intention, with means ranging from 7.21 and 7.08 to 3.71 and 3.56, respectively. These results indicate their potential as promising sources of cocoa honey for the food industry.

Czech Honeydew Honeys-A Potential Source of Local Medical Honey with Strong Antimicrobial Activity.

An increasing resistance of microbes to antibiotics, the emergence of multidrug-resistant and extremely resistant strains, and the long time needed to develop new antibiotics are driving the search for additional sources of antibacterial agents. The aim of the study was to compare the efficacy of Czech honeys with already available pharmaceutical agents containing medicinal honey, and to perform basic biochemical analysis of Czech samples, including detection of undesirable chemical substances. The results showed strong antibacterial activity of Czech honeydew honeys compared to the control group, especially against G+ pathogens, with an average MIC of 9.44% compared to 17.54%, and comparable activity against G- of 16.48% versus 16.66%. In addition to the strong antibacterial activity, this study confirmed the safety and quality of Czech honeys and helped to select the character of a possible source for in vivo testing and subsequent clinical trials.

Effect of heating and pH on hydroxymethylfurfural content, diastase and invertase activity of Dalbergia honey using response surface methodology

The current study explored the botanical origin of Dalbergia (Dalbergia sissoo) honey source using melissopalynology. The 20 runs in triplicate were evaluated using the composite central rotatable design (CCRD) for the analysis of effect of heating (45–55 ºC), pH (4.8–5.8) and time (5–15 min) on attributes features like hydroxymethylfurfural (HMF) content, diastase & invertase activity of Dalbergia honey with Response Surface Method (RSM). A significant effect of process variables on three responses has btabeen observed from the statistical data. The amount of HMF content increased at higher temperature and pH. However, the diastase activity can be well monitored in the increased temperature. The invertase activity of honey was significantly (P < 0.0001) reduced for every pH value from 4.8 to 5.8. The results attained when heating beyond 49 ºC as well as a higher pH with prolonged time could alter HMF content, diastase and invertase activity, which may deteriorate the grade of honey.

Using pollen DNA metabarcoding to trace the geographical and botanical origin of honey from Karangasem, Indonesia

The unique floral fingerprint embedded within honey holds valuable clues to its geographical and botanical origin, playing a crucial role in ensuring authenticity and detecting adulteration. Honey from native Apis cerana and Heterotrigona itama bees in Karangasem, Indonesia, was examined utilizing pollen DNA metabarcoding for honey source identification. In this study, we used ITS2 amplicon sequencing to identify floral DNA in honey samples. The finding reveals distinct pollen signatures for each bee species. Results analysis showed A. cerana honey generated 179,267 sequence reads, assembled into Amplicon Sequence Variants (ASVs) with a total size of 485,932 bp and an average GC content of 59 %. H. itama honey generated 177,864 sequence reads, assembled into ASVs with a total size of 350,604 bp and an average GC content of 57 %. A. cerana honey exhibited a rich tapestry of pollen from eleven diverse genera, with Schleichera genus dominating at an impressive relative read abundance of 72.8 %. In contrast, H. itama honey displayed a remarkable mono-dominance of the Syzygium genus, accounting for a staggering 99.95 % of its pollen composition or relative read abundance, highlighting their distinct foraging preferences and floral resource utilization. Notably, all identified pollen taxa were indigenous to Karangasem, solidifying the geographical link between honey and its origin. This study demonstrates pollen DNA metabarcoding may identify honey floral sources. By using pollen profiles from different bee species and their foraging patterns, we may protect consumers against honey adulteration and promote sustainable beekeeping in Karangasem district. Future research could explore expanding the database of reference pollen sequences and investigating the influence of environmental factors on pollen composition in honey. Investigating this technology's economic and social effects on beekeepers and consumers may help promote fair trade and sustainable beekeeping worldwide.

Assessing the effects of geographical origin and production practices on the levels of heavy metals in honey from three regions in Ghana

ABSTRACT To evaluate the impact of production methods and geographical origin on honey quality, honey from three regions in Ghana was analysed using INAA and FAAS for the presence of some selected metals. Five metals were found in all the ninety samples as Mg (321.1 mg/kg), Cu (56.2 mg/kg), V (8.18 mg/kg), Fe (3.28 mg/kg), and Pb (0.0400 mg/kg). Co and Cr were detected in 12% and 45% of the samples respectively but As, Cd, and Hg were not detected. The concentrations of Pb varied significantly based on production practices. Cu, Mg, and V showed differences based on geographical sources, according to the Kruskal Wallis test at p < 0.05. Co was below the WHO levels for drinking water and Cr, Cu, Fe, Mg and V were above the WHO levels. Ultimately, the honey source, as opposed to production practices, affected the metal content and potentially, honey consumption can have health risks.

An innovative molecular approach towards the cost-effective entomological authentication of honey

Honey authentication and traceability are crucial not only for economic purposes but also for ensuring safety. However, the widespread adoption of cutting-edge technologies in practical applications has been hampered by complex, time-consuming sample pre-treatment processes, the need for skilled personnel, and substantial associated expenses. This study aimed to develop a simple and cost-effective molecular technique to verify the entomological source of honey. By utilizing newly designed primers, we successfully amplified the mitochondrial 16S ribosomal RNA gene of honey bees from honey, confirming the high quality of the extracted DNA. Employing RFLP analysis with AseI endonuclease, species-specific restriction patterns were generated for honey derived from six closely related honey bees of the Apis genus. Remarkably, this method was proven equally effective in identifying heat-treated and aged honey by presenting the same RFLP profiles as raw honey. As far as we know, this is the initial research of the simultaneous differentiation of honey from closely related honey bee species using the restriction endonuclease AseI and mitochondrial 16S rRNA gene fragments. As a result, it holds tremendous potential as a standardized guideline for regulatory agencies to ascertain the insect origins of honey and achieve comprehensive traceability.

Analysis of Free Amino Acid Composition and Honey Plant Species in Seven Honey Species in China.

Honey is well-known as a food product that is rich in active ingredients and is very popular among consumers. Free amino acids (FAAs) are one of the important nutritional components of honey, which can be used not only as a nutritional indicator of honey but also as an indicator of plant source identification. In this study, the contents of 20 FAAs in seven types of honey from 11 provinces in China were examined for the first time. The 20 FAAs were analyzed by ultra-performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS). By analyzing 93 honey samples from seven types of honey, the FAAs were found to range from 394.4 mg/kg (linden honey) to 1771.7 mg/kg (chaste honey). Proline ranged from 274.55 to 572.48 mg/kg, and methionine was only present in some of the linden honey, chaste honey, acacia honey, and rape honey. Evaluated by amino acid principal component analysis, multifloral grassland honey had the highest overall evaluation score, acacia and jujube honey were the most similar, while chaste honey was the least similar to the other types of honey. In addition, DNA was extracted from 174 Xinjiang grassland honey samples and different plant leaves for PCR and sequencing to identify the species of nectar plants. As a result, 12 families and 25 species of honey plants were identified. The results confirmed the diversity of FAAs in dissimilar types and sources of honey. This study provides a reference for expanding honey quality standards and verifying the authenticity of honey.

Beekeeping Behavior of Chinese Beekeepers Shows Spatial Contraction

Apiculture is an important industry closely related to the national economy and people’s livelihoods. Beekeepers’ behavior is an important factor affecting the yield, quality, and benefits of apiculture. However, there is a lack of a systematic understanding of the long-term changes in beekeeping decisions made by beekeepers. Using panel data, we analyzed the dynamic trends and related influencing factors of decisions made by beekeeping models, honey source plant selection, and the migration flow space of beekeepers from 2009 to 2020. The results showed that the proportion of the LMB model decreased, while the PAB and SMB models continued to increase, the frequency of utilization of the main nectar source plants for honey collection decreased, and the concentration of migratory flow of beekeeping increased. Behavior of beekeepers from 2009 to 2020 showed a certain degree of spatial contraction, which seriously restricted the effective use of nectar plant resources. Family attributes, economic status, beekeeping models, and disaster conditions directly or indirectly affected beekeepers’ decisions. We propose a series of recommendations to facilitate the transformation and advancement of the Chinese bee industry. This study promotes an understanding of sustainable development of the bee industry in China and other countries worldwide.

Prediction of compressive strength of concrete based on improved artificial bee colony-multilayer perceptron algorithm

There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of concrete are based on summarizing experimental data of several different mix proportions and curing periods, and their generality is poor. This article proposes an improved artificial bee colony algorithm (IABC) and a multilayer perceptron (MLP) coupled model for predicting the compressive strength of concrete. To address the shortcomings of the basic artificial bee colony algorithm, such as easily falling into local optima and slow convergence speed, this article introduces a Gaussian mutation operator into the basic artificial bee colony algorithm to optimize the initial honey source position and designs an MLP neural network model based on the improved artificial bee colony algorithm (IABC-MLP). Compared with traditional strength prediction models, the ABC-MLP model can better capture the nonlinear relationship of the compressive strength of concrete and achieve higher prediction accuracy when considering the compound effect of multiple factors. The IABC-MLP model built in this study is compared with the ABC-MLP and particle swarm optimization (PSO) coupling algorithms. The research shows that IABC can significantly improve the training and prediction accuracy of MLP. Compared with the ABC-MLP and PSO-MLP coupling models, the training accuracy of the IABC-MLP model is increased by 1.6% and 4.5%, respectively. This model is also compared with common individual learning algorithms such as MLP, decision tree (DT), support vector machine regression (SVR), and random forest algorithms (RF). Based on the comparison of prediction results, the proposed method shows excellent performance in all indicators and demonstrates the superiority of heuristic algorithms in predicting the compressive strength of concrete.

Sour Jujube (Ziziphus jujuba var. spinosa): A Bibliometric Review of Its Bioactive Profile, Health Benefits and Trends in Food and Medicine Applications.

Research on the comprehensive utilization of sour jujube and its beneficial properties to human health has attracted extensive attention. This study aims to conduct a bibliometric analysis of the bioactive profile of sour jujube and future trends in applications. The research advancements within this field from 2000 to 2023 were addressed using the Web of Science database and VOSviewer. Among the 322 results, the most frequent keywords of bioactivity are flavonoids, antioxidants, saponins, insomnia, polyphenols, terpenoids and anti-inflammatory; the most studied parts of sour jujube are seeds, fruits and leaves; the published articles with high citations mainly focus on identification, biological effects and different parts distribution of bioactive compounds. The bioactivity of various parts of sour jujube was reviewed considering their application potential. The seeds, rich in flavonoids, saponins and alkaloids, exhibit strong effects on central nervous system diseases and have been well-developed in pharmacology, healthcare products and functional foods. The pulp has antioxidant properties and is used to develop added-value foods (e.g., juice, vinegar, wine). The leaves can be used to make tea and flowers are good sources of honey; their extracts are rich sources of flavonoids and saponins, which show promising medicinal effects. The branches, roots and bark have healing properties in traditional folk medicine. Overall, this study provides a reference for future applications of sour jujube in food and medicine fields.

Investigating the impact of milk protein, inulin, and honey on quality attributes of goat milk yoghurt.

In this present study, a three-factor Box-Behnken, response surface methodology (RSM) design was employed to optimize the skimmed milk powder (SMP)/whey protein concentrate (WPC) ratio (0.25-0.75%w/v) as a source of milk protein, inulin (1-2%w/v), and honey (4-6%w/v) for production of high-quality goat milk yoghurt (GMY). The resulting ANOVA and response surface equations revealed the significant effect (p < 0.05) of these variables on the various attributes such as total solid (%), pH, titratable acidity [(LA) % by weight], syneresis (%), DPPH (% inhibition), viscosity (m.Pa⋅s), whiteness index (WI), and overall acceptability (OA). The coefficient of determination (R2) for all response variables ranged from 0.88 to 0.99. Lack-of-fit tests resulted in non-significant F-values. The optimal conditions were determined as SMP/WPC at 0.36%w/v, inulin at 1.00%w/v, and honey at 6.00%w/v. The optimum values for total solid, pH, titratable acidity, syneresis, DPPH, viscosity, WI, and OA were 22.03, 4.46, 0.77, 6.34, 25.20, 182.30, 76.29 and 8.37, respectively with desirability value of 0.95.

Characterization Of Probiotic Lactic Acid Bacteria From Honey And Assessment Of Their Effects On Consumption By Type-2- Diabetes Using Wistar Rat

The relevance of probiotic, especially lactic acid bacteria cannot be over emphasized. In this present study three honey sources were serially diluted and cultured on De Man, Rogosa and Sharpe (MRS) agar among which only one of this sources grew on MRS agar. The pure Lactobacilli isolate were subjected to gram staining, biochemical tests, physiological test, molecular analysis using Polymerase Chain Reaction (PCR) techniques and Deoxyribonucleotide (DNA) sequencing. Only one isolate was obtained known as Enterococcus fecalis. The isolate was subjected to probiotic selection and was found fit for consumption, however their effect when consumed by type-2 diabetic are alarming and based on the outcome of this study, diabetic patient are advised not consume honey.

Characterisation of physicochemical parameters and antibacterial properties of New Caledonian honeys.

Honey is an attractive natural product with various health benefits. A few honey-based commercial products have successfully been adopted in clinics to improve wound healing. However, screening of other potential sources of medical-grade honey, in particular, honeys from territories with high floral species diversity and high endemicity, is highly needed. The goal of this study was to characterise the physicochemical and antibacterial properties of New Caledonian honey samples (n = 33) and to elucidate the major mechanism of their antibacterial action. Inhibitory antibacterial activity of honeys against Staphylococcus aureus and Pseudomonas aeruginosa was determined with a minimum inhibitory concentration (MIC) assay. Enzymatic activity of glucose oxidase and the content of hydrogen peroxide (H2O2) in honey samples were analysed. Furthermore, total protein content of honeys together with their electrophoretic protein profiles were also determined in the study. The antibacterial efficacy of 24% of the tested honey samples was slightly superior to that of manuka honey with unique manuka factor 15+. The antibacterial activity of catalase-treated honey sample solutions was significantly reduced, suggesting that H2O2 is a key antibacterial compound of diluted honeys. However, the kinetic profiles of H2O2 production in most potent honeys at a MIC value of 6% was not uniform. Under the experimental conditions, we found that a H2O2 concentration of 150 μM in diluted honeys is a critical concentration for inhibiting the growth of S. aureus. In contrast, 150 μM H2O2 in artificial honey solution was not able to inhibit bacterial growth, suggesting a role of phytochemicals in the antibacterial activity of natural honey. In addition, the continuous generation of H2O2 in diluted honey demonstrated an ability to counteract additional bacteria in re-inoculation experiments. In conclusion, the tested New Caledonian honey samples showed strong antibacterial activity, primarily based on H2O2 action, and therefore represent a suitable source for medical-grade honey.

Discrimination of honeys produced by Tanzanian stingless bees (Hymenoptera, Apidae, Meliponini) based on physicochemical properties and sugar profiles

Honey composition vary according to floral origin and bee species from which it is produced. Understanding the composition of honey is essential for guaranteeing its quality and authenticity, and revealing its potential benefits. Studies on honeys produced by Afrotropical stingless bees are scarce resulting into limited understanding and underutilization. The current study investigated the physicochemical properties and sugar profiles of honeys produced by six stingless bee species (Dactylurina schmidti, Hypotrigona gribodoi, Meliponula beccarii, Meliponula ferruginea, Meliponula togoensis and Plebeina armata) from different vegetation zones of Tanzania. Permutation analysis of variance (PERMANOVA) and Kruskal-Wallis tests were conducted to assess how bee species and vegetation influenced the studied parameters. Furthermore, we employed principal component analysis (PCA) and linear discriminant analysis (LDA) to discriminate honey samples according to bee species and vegetation zones. Our findings show that honey composition was greatly influenced by the identity of bee species which affected 84.6 % of the studied parameters, compared to vegetation zones which affected only 23.1 % of the studied parameters. Stingless bee honey showed significant variation from the international quality standards established for Apis mellifera honey. Also, the levels of free acidity (32.05–99.95 meq/Kg), ash content (0.09–0.81 % w/w) and reducing sugars (43.79–50.82 g/100 g) in some honey samples deviated from the East African Community standards for stingless bee honey. PCA and LDA revealed that the physicochemical properties and sugar profiles can be used to classify stingless bee honeys according to their bee species origin. We recommend further studies to elucidate essential markers that can be used in identifying the entomological source of stingless bee honey.

A mobile robot path planning using improved beetle swarm optimization algorithm in static environment

Optimization problems in the field of industrial engineering usually involve massive amounts of information and complex scheduling process with the characteristics of high-dimension and non-convexity, which bring many challenges to finding an optimal solution. We proposed an improved beetle swarm optimization (IBSO) algorithm demonstrating the potential to solve different problems of path planning in static environment with good performance. Firstly, the algorithm is an upgrade of the original beetle antennae search (BAS) algorithm and the search strategy is improved by replacing a single beetle by multiple beetles. Secondly, the global search ability gets enhanced, and the diversity of optimization is improved through introducing nonlinear sinusoidal disturbance with Levy flight mechanism in beetles’ position. Finally, the search performance of beetle swarm is improved by simulating the characteristics of employment bees to search for a better solution near the honey source field in the Artificial Bee Colony (ABC) algorithm. Our experiment results show that IBSO algorithm can achieve higher search efficiency and wider search ranges through well balancing the advantages of local search and fast optimization of the BAS algorithm with the global search of the improved mechanism. The IBSO algorithm has shown the potential to provide a new solution for several optimization problems in path planning in static environment.

THE CHEMICAL DIVERSITY OF RHYNCHOSTYLIS RETUSA (L.) BL. 'NECTAR' — AN ORCHID OF ECONOMIC IMPORTANCE

Nectar is a liquid formed by specialized glands called nectaries that attract pollinators inside the flowers. In reproductive biology, nectar plays a significant role in promoting visitor attractions and pollinators, aiding in the biotic pollination of the earth, and encouraging forest conservation and human farming. Nectar is an ecologically important honey source of sugar. In this analysis the nectar of Rhynchostylis retusa (L.) B. was described. It is an economically significant orchid in many parts of the world. The instrument used Q-Exactive Plus biopharma-high resolution Orbitrap Liquid Chromatography-Mass Spectrometry for the most accurate and precise detection of compounds. The orchid flowers are frequently fed for the sweet nectar by various insects, e.g. ants, beetles, bees, and butterflies, but two species of genus Xylocopa, viz., X. violacea L. and X. aestuans L. were considered as the important biotic pollinators. We find 13 compounds which are Rhynchostylis retusa nectar metabolites. Of these, 6 compounds are either unknown or not reported elsewhere from any plant metabolites.

RESOURCE MELLIFEROUS-POLLENIFEROUS ROLE OF INVASIVE PLANTS IN RUSSIA

The resource melliferous-polleniferous potential of Russian invasive plant species was studied on the basis of the results of melissopalynological (pollen) analysis. The study of the pollen composition of 2121 honey samples from 70 Russian regions made it possible to diagnose the pollen of 26 invasive plants in their composition, 13 of which were resource plants. In the European part of Russia, important melliferous plants were Robinia pseudoacacia L., Gleditsia triacanthos L., Amorpha fruticosa L., Solidago canadensis L., and Ailanthus altissima (Miller) Swingle. Monofloral honey types from these invasive species were obtained mainly in the southern regions. In Siberia, Centaurea scabiosa L., C. jacea L., Echium vulgare L., and Co nium maculatum L. were of resource importance. Monofloral greater and brown knapweed, viper`s bugloss and wild hemlock honey types were found mainly in the regions of Western Siberia. In the Far East, sources of monofloral honey were Nonea rossica Steven and Amoria hybrida (L.) C. Presl. The species Lupinus polyphyllus Lindll. and species of the genus Ambrosia were classified as important Russian polleniferous plants.

Honey Origin Authentication via Mineral Profiling Combined with Chemometric Approaches.

In the present study, the potential of elemental analysis combined with statistical tools to identify honey origin was evaluated by mineral characterization of 173 honeys of 13 floral types (acacia, fir, spruce, linden, chestnut, lavender, coriander, thistle, honeydew, rosemary, sage, euphorbia and ziziphus plant species) collected from five geographical regions (Slovenia, Croatia, Bulgaria, Turkey, and Morocco). The objective of the study was to accurately and reliably differentiate the mineral composition among honey varieties. The aim was to establish traceability, to ensure product authenticity and to improve quality control measures within the honey industry. For this purpose, 18 major, minor and trace elements were quantified using microwave digestion, followed by ICP-MS measurement. Statistical evaluation of elemental concentration was undertaken using principal component analysis (PCA) to distinguish honey floral types. The research give light on the specific elements that can serve as indicators for determining the geographical and botanical source of honey. Our findings indicate that certain elements, such as Mn, K, and Ca, are primarily influenced by the type of pollen present in the honey, making them indicative of the floral source. On the other hand, levels of Na, Mg, and Fe were found to be more strongly influenced by environmental factors and can be considered as markers of geographical origin. One novel aspect of this research is the exploration of the relationship between honey minerals and honey botanical source. This was achieved through the analysis of chestnut tree samples and a subsequent comparison with the composition of chestnut honey.

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

Emotion assessment is a challenging task in the human–computer interaction interface. Previous studies have examined the relationship between emotion and color, but they fail to accurately analyze emotional semantics due to the numerous elements in human–computer interaction interfaces. As a result, a combination model of a backpropagation neural network (BPNN) and an artificial bee colony algorithm (ABC) was presented in this paper to predict the emotion semantics of the human–computer interaction interface. The mechanism of generating the weights and thresholds for each layer of BPNN was converted to the search for an optimal honey source. Meanwhile, according to experiment results and evaluation of elements in human–computer interaction interfaces, this paper has assessed the relationships amongst the eight key elements (ratio of graphics to text, color difference, color distribution, color harmony, theme style, white space ratio, frame style, number of colors) and emotion word pairs (moderation-fancy, calm-pleasure, confusing-clear, cold-kind, coarse-elegant). Furthermore, an emotion application database was established to determine how the amalgamation of critical elements affects the users’ feelings about the human–computer interaction interface to help designers build a user-centric interface. Finally, the database can be applied to relieve mental health problems by meeting the psychological expectations of users as mental healthcare intervention during the COVID-19 pandemic. Also, it can help designers to design a pleasurable visual interaction interface for a particular element to convey health-related information and protective measures.