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The COVID-19 outbreak has significantly impacted supply chains and has caused several supply chain disruptions in almost all industries worldwide. Moreover, increased transportation costs, labor shortages, and insufficient storage facilities have all led to food loss during the pandemic, and this disruption has affected the logistics in the food value chain. As a result, we examine the food supply chain, which is one of the key industries COVID-19 has detrimentally affected, impacting, indeed, on the entire business process from the supplier all the way to the customer. Retail businesses are thus facing supply issues, which affect consumer behavior by creating stress regarding the availability of food. This has a negative impact on the amount of food that is available as well as its quality, freshness, safety, access to markets, and affordability. This study examines the impact of COVID-19 on the United Arab Emirates food distribution systems and how consumer behavior changed in reaction to interruptions in the food supply chain and the food security problem. Hypothesis testing was used in the study's quantitative methodology to assess consumer behavior, and participants who were consumers were given a descriptive questionnaire to ascertain whether the availability and security of food had been impacted. The study used JASP 0.17.2 software to develop a model of food consumption behavior and to reveal pertinent connections between each construct. Results show that consumer food stress and consumption behavior are directly impacted by food access, food quality and safety, and food pricing. Furthermore, food stress has an impact on how consumers behave when it comes to consumption. Food stress, however, is not significantly influenced by food supply.
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PurposeThis study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.Design/methodology/approachThis research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.FindingsThe data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.Research limitations/implicationsThis study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.Practical implicationsTo gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.Originality/valueThis study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.
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Online teaching management has been widely used during the COVID-19 pandemic situation and it has a direct impact on practical teaching management because students do not have access to equipment, chemicals, and tools. This study's purpose is to evaluate practical learning instruction management and student satisfaction with "photocolorimetric methodology platform for measuring egg yolk color" during the COVID-19 pandemic. This study compared the student satisfaction and effectiveness of a learning instruction platform for measuring egg yolk color using a laboratory machine and an online teaching management platform using photocolorimetric methodology. The results of this experiment revealed that the two platforms evaluated yolk colors L*, a*, and b* similarly (P > 0.05). Furthermore, the students were satisfied with the learning instruction with the photocolorimetric methodology platform for measuring egg yolk color at 4.76 points or the most level.
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PurposeThe ongoing pandemic has gravely affected different facets of society and economic trades worldwide. During the outbreak, most manufacturing and service sectors were closed across the globe except for essential commodities such as food and medicines. Consequently, recent literature has focused on studying supply chain resilience and sustainability in different pandemic contexts. This study aims to add to the existing literature by exploring the economic, environmental and societal aspects affecting the food supply chain and assessing the impact of COVID-19 on food sustainability.Design/methodology/approachA survey method has been adopted with a questionnaire instrument investigating the role of technology, government policies, geopolitics and intermediaries on sustainable organisational management. A five-point Likert scale (i.e. 1 = strongly disagree;5 = strongly agree) is used to evaluate the responses. The findings are based on 131 responses from entry-level workers and senior executives of different food supply chains across Asia and Europe. The data has been analysed to derive insights into the impacts of this pandemic.FindingsThe survey concludes with the significant impact of COVID-19 on the three pillars of sustainability, i.e. economic, social and environmental dimensions. The empirical analysis shows digitalisation and its applications help mitigate the negative effect of COVID-19 on sustainability. In addition, the supportive government policies and intermediatory interventions were helpful in improving sustainability at each level.Research limitations/implicationsThe findings have implications for businesses and policymakers. Companies can learn from the advantages of digitalisation to counter the challenges imposed by the pandemic or similar situations in the future in maintaining the sustainability of their supply chains. Managers can also learn the importance of effective organisational management in driving sustainability. Finally, policymakers can devise policies to support businesses in adopting sustainable practices in their supply chains.Originality/valueThis study adds to the limited literature exploring the impact of COVID-19 on food supply chain sustainability through the triple bottom line lens. To the best of the authors' knowledge, this is also one of the first empirical studies to examine the effect of technology, government and organisational management practices on the sustainability of food supply chains.
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Federally funded Emergency Food Assistance Program (TEFAP) aims to improve nutrition equity through hunger relief setting. However, little is known about TEFAP disbursement method (choice, modified choice, and no choice) to pantries or the quality received by pantries. Food inventory data from 239 pantries in 2020 were used to assess the association between TEFAP quality and type of disbursement methods longitudinally. While no significant differences were observed in quality across disbursement types and months. Our study suggests there are tradeoffs across different methods. TEFAP for the most part is a healthy food source that should be maximized by food pantries.Copyright © 2023 Taylor & Francis Group, LLC.
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Poor food environments are considered to trigger obesity and related health complications by restricting the local food options to predominantly low quality, energy-dense foods. This study investigated the impact of the food environment on obesity with a focus on any changes that might have occurred around the COVID lockdown period in the UK when majority of the population relied on food delivery and the local food environments. The proportion of fast-food retailers in the area and the Retail Food Environment Index (RFEI) were calculated for participants of the 1970 British Cohort Study (BCS70) at three timepoints: pre-COVID (2016), the first UK nation-wide lockdown (April–May 2020) and post lockdown (September–October 2020). The association of the food environment and the odds of obesity was estimated through multivariable logistic regression, with adjustments being made for selected socioeconomic variables. A model using the fast-food proportion as the sole predictor estimated that higher fast-food proportion increased the odds of obesity by 2.41 in 2016, 2.89 during the lockdown and 1.34 post lockdown, compared with 1.87, 2.23, and 0.73, respectively, for the same three periods with adjustments being made for select socioeconomic variables. On the other hand, RFEI increased the odds of obesity only slightly at 1.01, 1.02 and 1.03, respectively, with the model with adjustments yielding respective similar values. The fast-food proportion model indicates that proximity to a poor food environment is linked to obesity, especially during the COVID lockdown period, but the impact of a poor-food environment is limited if the RFEI is used as its indicator. The findings will add much needed insights on the UK data and will inform public health planning and policy.
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Robots have been increasingly common in hospitality and tourism, especially being favored under the threat of COVID-19. However, people generally do not think robots are appropriate for cooking food in hotels and restaurants, possibly because they hold low quality predictions for robot-cooked food. This study aimed to investigate the factors influencing people's quality prediction for robot-cooked food. In three experiments, participants viewed pictures of human and robotic chefs and dishes cooked by them, and then made food quality predictions and rated their perceptions of the chefs. The results showed that participants predicted the foods cooked by robotic chefs were above average quality; however, they consistently held lower food quality prediction for robotic chefs than human chefs, regardless of dishes' cooking difficulty level, novel cues in chefs and food, or the anthropomorphism level of robotic chefs. The results also showed that increasing the appearance of robotic chefs from low or medium to high anthropomorphism, or enabling robotic chefs to cook high cooking difficulty level food could promote food quality prediction. These results revealed the current acceptance of robot-cooked food, suggesting possible ways to improve food quality predictions.
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In recent years, the rice cake market has grown considerably in terms of research and development of products suitable for consumer needs and beneficial to health at the same time. Since the outbreak of COVID-19, the number of consumers consuming antioxidant-rich foods and immunity-boosting foods to improve health and promote healthy eating habits has increased. Pistachio rice cakes have been tested and found to be high in polyphenols, which have good antioxidant activity and strengthen the immune system. Therefore, research was conducted on pistachio rice cakes to develop safe, health functional, and sustainable food. In order to maximize the sales potential of pistachio rice cakes, a survey was conducted among Korean adults to investigate perception of pistachio, pistachio rice cake purchasing behavior, and popularization plans. Pearson's correlation analysis was performed to examine the correlation between pistachio perception, pistachio rice cake purchasing behavior, and pistachio rice cake popularization measures, and they were found to have a close relationship. In addition, as a result of multiple regression analysis, perception and purchasing behavior of pistachio rice cake products were found to have a significant positive (+) effect on rice cake technology development, development of brand specializing in rice cakes, and cultivation of traditional rice cake experts. This study suggests that continuous research and development of food safety and sustainability of rice cakes are required, and it is expected to be utilized as basic data to form a research basis that can be a strategy for increasing sales in the rice cake industry.
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Food safety is one of the greatest public problems occurring around the world. Chemical, physical, and microbiological hazards could lead to food safety problems, which might occur at all stages of the supply chain. To tackle food safety problems and protect consumer health, specific, accurate, and rapid diagnosis techniques meeting various requirements are the imperative measures to ensure food safety. CRISPR-Cas system, a novel emerging technology, is effectively repurposed in (bio)sensing and has shown a tremendous capability to develop on-site and portable diagnostic methods with high specificity and sensitivity. Among numerous existing CRISPR/Cas systems, CRISPR/Cas13a and CRISPR/Cas12a are extensively employed in the design of biosensors, owing to their ability to cleave both non-target and target sequences. However, the specificity limitation in CRISPR/Cas has hindered its progress. Nowadays, nucleic acid aptamers recognized for their specificity and high-affinity characteristics for their analytes are incorporated into CRISPR/Cas systems. With the benefits of reproducibility, high durability, portability, facile operation, and cost-effectiveness, CRISPR/Cas-based aptasensing approaches are an ideal choice for fabricating highly specific point-of-need analytical tools with enhanced response signals. In the current study, we explore some of the most recent progress in the CRISPR/Cas-mediated aptasensors for detecting food risk factors including veterinary drugs, pesticide residues, pathogens, mycotoxins, heavy metals, illegal additives, food additives, and other contaminants. The nanomaterial engineering support with CRISPR/Cas aptasensors is also signified to achieve a hopeful perspective to provide new straightforward test kits toward trace amounts of different contaminants encountered in food samples.
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Pempek is a food that contains a lot of protein from fish meat in the form of a homogeneous protein gel, white in color, chewy and elastic texture. Improvement of pempek production skills for people of Javanese descendants in sumber Rahayu Village, south sumatera can to be a provision for the community as a side-home business in the midst of economic difficulties due to the Covid 19 pandemic. The methods in this activity are survey to get 15 person participants, pre-test and post-test of knowledge participant, discussion, demonstration producing of pempek and organoleptic test. Before training, a number of 53.8% of participants had ever made pempek and 38.5% of participants had knowledge about nutritional value of pempek. The average pre-test score is 38 points while the post-test score is 96 points. This shows that there is an increase in the knowledge and abilities of participants before and after being given the training. The average participant's assessment of the color, taste, and aroma of pempek is between 2.54 - 2.67. This shows that the participants like the color, taste, and aroma of pempek.
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Increasing body immunity is very necessary after the Covid-19 pandemic. One of the efforts that can be made to increase the body's immunity is to consume functional foods with immunostimulant activity, such as processed snakehead fish products in the form of nuggets, and "parkusel" juice made from a mixture of bitter melon, dates and celery. The purpose of community service is to provide knowledge and skills to housewives and the community at the Veteran ABRI Housing Complex in Medan Estate, Deli Serdang Regency, in making functional food products in the form of snakehead fish nuggets and Perkusel juice. The community service method used is the counseling method with leafet aids and training in making snakehead fish nuggets and perkusel juice. The results of the activity showed that there was an increase in the knowledge of the community participants in community service activities about nutritious snack products that can increase body immunity by 71% in the good value category.
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Drop in nutrition value during food logistics impacts the health of consumers. Vegetables, fruits, fish, milk lose nutrients during logistics if it is not properly monitored. Real-time tracking and monitoring, large data handling and secure business transactions are key to the effective operation of supply chains. The COVID-19 pandemic has taught us the need for handling unforeseen situations in various sectors. Limitations to logistic operations, inaccessible warehouses, shutdown of consumer outlets for an unexpected duration, have affected the supply chain drastically. This has laid emphasis on the need for technology-based solutions that can monitor, control and make quick decisions, that can reduce losses. With this scenario as a background, a system architecture has been proposed to detect the nutrient value of food by periodically monitoring temperature and humidity in real-time and alerting the cold chain entities in cold chain environments. This architecture is proposed as an integration of Internet of Things (IoT) with cloud-based storage, to provide real-time data collection at the end-user, seamless storage and computation in the cloud and secure transactions at the business layer. An experimental setup of the system architecture has been configured and the implementation has been tested at a preliminary level. The performance of the application is analyzed and the proposed web application is efficient for large scale supply chain applications, provided scaling of hardware resources.
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Background: Coronavirus disease 2019 (COVID-19), the highly contagious infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The present study aimed to assess the impact of the COVID-19 pandemic on the nutritional and lifestyle of patients with DM. Material & Method: This cross-sectional observational study was conducted at medicine OPD of Aarupadai veedu medical college, after obtaining consent questionnaire from the patient for the duration of 3 months. Study participants were all the individuals age more than 18yrs with history of diabetes mellitus. The details of participants were recorded in predesigned proforma which included Age, sex, occupation, body mass index (BMI), physical activity, eating behaviour and hygiene habits. Result: In present study total of 200 participants fulfilling inclusion criteria and willing to be part of study were included. The mean age of participants was found to be 55.82+or-13.5yrs. Among them 69% were male and 31% were female participants with male preponderance in the study. 35.5% of the participants responded that they have gained weight of more than 2 kg during pandemic compared to before and 17% responded that they decreased the weight more than 2.5 kg during the pandemic. 75.5% of participants responded with change in quality of food and 79.0% responded with change in quantity of the food., 62% responded with changes in the duration of sleep compared to before pandemic and 66.5% responded with increase in stress related to the infection and pandemic Conclusion: The pandemic lockdown did not show much major changes in overall diabetic control, however there was higher incidence of patients dependent on the carbohydrate diet, stress related to ongoing pandemic with disturbed sleep.
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In the twenty-first century, biosensors have gathered much wider attention than ever before, irrespective of the technology that promises to bring them forward. With the recent COVID-19 outbreak, the concern and efforts to restore global health and well-being are rising at an unprecedented rate. A requirement to develop precise, fast, point-of-care, reliable, easily disposable/reproducible and low-cost diagnostic tools has ascended. Biosensors form a primary element of hand-held medical kits, tools, products, and/or instruments. They have a very wide range of applications such as nearby environmental checks, detecting the onset of a disease, food quality, drug discovery, medicine dose control, and many more. This chapter explains how Nano/Micro-Electro-Mechanical Systems (N/MEMS) can be enabling technology toward a sustainable, scalable, ultra-miniaturized, easy-to-use, energy-efficient, and integrated bio/chemical sensing system. This study provides a deeper insight into the fundamentals, recent advances, and potential end applications of N/MEMS sensors and integrated systems to detect and measure the concentration of biological and/or chemical analytes. Transduction principle/s, materials, efficient designs, including readout technique, and sensor performance are explained. This is followed by a discussion on how N/MEMS biosensors continue to evolve. The challenges and possible opportunities are also discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Food waste is a worldwide phenomenon that needs to be reduced. The causes of this problem vary widely. The study used the Computer-Assisted Web Interview method. There were 500 respondents from all over the country and among them 60% women and 40% men. The sample selection was purposeful. Before the pandemic began, the highest percentage of consumers shopped two to three times a week. As of March 2020, the frequency of this activity has decreased for every fourth respondent. Also during this period, an increase in the frequency of shopping alone was observed, as well as an increase in the number of people who outsource their shopping list to others. Nowadays, the vast majority of respondents usually create a shopping list before doing it and follow it. Before the pandemic, this was the case for only 46% of respondents, while during the pandemic it was the case for 81%. Exceeding the expiration date was the most common reason for throwing products in the trash before as well as during the pandemic. Over-shopping as a cause of food waste increased almost fourfold during the pandemic. A positive aspect is noticeable for the 'I don't throw food away' response. The percentage of respondents increased from 16% to 21%. During both survey periods, respondents most often indicated that they throw away fruits, vegetables, bread, and dairy products. During the COVID-19 pandemic, consumers' shopping behaviour changed. They attended grocery stores far less frequently, mostly on their own, and purchased larger quantities of products. Nonetheless, consumers planned their purchases and checked expiration dates before putting food in their shopping carts. Households were thus forced to respond quickly, adjusting their shopping behaviour. These behaviours have implications for the subsequent activities of retail merchants.
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Recently, with the coronavirus pandemic, the eating habits of the population have been modified, observing the search for healthy diet. In this sense, the consumption of fruits and vegetables has increased, and the hygiene is a fundamental step in quality control, since fruits and vegetables can be consumed in natura. The objective of the work was to elaborate a review about the main chemical sanitizers used in the sanitization of fruits and vegetables. The study is a review based on scientific publications, using the combination of the following descriptors: hygiene, fruits and vegetables, sanitizers and sanitizing. It was possible to verify that the most used sanitizer in the sanitization of fruits and vegetables is chlorine and its derivatives, in concentrations from 100 to 200 ppm, normally for 15 minutes. Ozone could destroy numerous microorganisms and for its sanitizing effect it is necessary to have a longer exposure time, on average up to 30 minutes. When using organic acids (acetic, citric, lactic and peracetic acid), the concentrations vary up to 2% and the average exposure time is a few minutes, which can be used in combination or not. However, its use is not always effective. It is concluded that the application of each type of sanitizer varies according to its concentrations, pH, exposure time to the treatment and the type of fruit or vegetable to be sanitized.
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The purpose of this research is to examine the impact of supply chain integration (SCI), demand for halal products (DHP), halal marketing (HM), process quality improvement (PQI), food safety concerns (FSCs), and health consciousness (HC) on sustainable product performance (SPP) in the halal food industry in Malaysia. A survey was conducted with 212 respondents from Malaysian halal-certified companies, and the partial least squares (PLS-SEM) method was used for the data analysis. The findings indicate a positive and significant link between SCPI, HC, PQI, and SPP. In contrast, the findings show no significant link between HM, FSC, and SPP. DHP was found to have a negative, non-significant association with SPP. This paper concludes by discussing the implications of the findings and opportunities for future research.
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Food quality analysts, scientists, and technologists have significantly focused on compositional analysis of food products to provide authenticated nutritional facts around the world. Nowadays, individuals have become greatly concerned about their eating habits and want healthy food in their homes with proper composition and nutrition labels. Overall, consumers, the food industry, and government have become more concerned about food quality and safety. Therefore, to analyze individual ingredients, composition analysis of specific products has become significant for critical product characterization. This chapter presents information regarding the rules and regulation of food quality analysis and importance of compositional analysis and techniques utilized for food products. It discusses different types of samples analyzed and the protocol for selecting food quality analysis methods. Food compositional analysis has become essential because it is the right of consumers to know about health facts about their purchasable products. Therefore, analysis of compositional parameters of food like moisture, fat, protein, carbohydrate, vitamin, and mineral analysis protocols are discussed herein with suitable techniques. Moreover, the analysis of chemical properties, for example, pH, enzyme, and contaminant analysis, is also done to monitor the quality of food products. If the quality analysis method goes wrong, then consumption of food ingredients above tolerance level by consumers may cause several health issues. This chapter also focuses on analytical techniques used to detect SARS-CoV-2 on the food surface and packaging material. According to the research, this virus is more active in cold places, as they enhance the virus survival time as compared to room temperature. © 2023 Elsevier Inc. All rights reserved.