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Study on Tea Consumption Behavior during the Covid-19 Pandemic and the Analysis of the Antioxidant Activity and Bioactive Compounds of Flavoring Ingredients of Tea

Md. Zakir Hossain1,2, Farhana Easmin1, Sakirul Islam Bhuiyan1, Md. Abdul Alim1, Shamoli Akter1, Md. Jahangir Alam1*, Md. Nannur Rahman1 and Md. Azizul Haque1

1Department of Food Technology and Nutritional Science (FTNS), Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangai, Bangladesh.

2Food Science, Department of Life Technology, University of Turku, Turun yliopisto, Finland.

Corresponding Author E-mail: jahangir@mbatu.ac.bd

DOI : https://dx.doi.org/10.12944/CRNFSJ.11.1.33

Article Publishing History

Received: 15 Mar 2023

Accepted: 20 Apr 2023

Published Online: 26 Apr 2023

Plagiarism Check: Yes

Reviewed by: Bharathi Ramesh USA

Second Review by: Yuan Zhang China

Final Approval by: Dr. Dariusz Dziki

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Abstract:

Tea is one of the most popular and oldest beverages available in many varieties and the use of different flavoring ingredients is becoming more common. The present study aimed to examine tea consumption behavior during the COVID-19 pandemic and analyzed the bioactive compounds of tea flavoring ingredients. At first, a cross-sectional study was carried out with 140 randomly selected participants to determine tea consumption patterns and data was collected through face-to-face interviews. Then 2,2-diphenyl-1-picrylhydrazyl (DPPH) test, the Folin-Ciocalteu technique, and the quercetin method were used to assess antioxidant activity, total phenolic content (TPC), and total flavonoid content (TFC) of tea flavoring ingredients. The study found that 57.86% of the participants increased their tea consumption during the COVID-19 pandemic, whereas 22.80% increased their tea consumption by at least one more cup per day. It was also found that ginger was the most popular (29.5%) among fifteen tea flavoring agents. By analyzing tea flavoring ingredients, the maximum antioxidant activity found in cinnamon was 87%, and lemon leaves had the lowest, which was 60%. On a dry weight basis, the TPC of the tea flavoring components ranged from 36.52 mg GAE/g for cloves to 9.62 mg GAE/g for ginger. The maximum TFC was also found in clove with 13.68 mg QE/g, and moringa was the second highest with 12.26 mg GAE/g. The antioxidant activity of flavoring compounds has a significant correlation with TPC and TFC. Overall, tea consumption behavior with tea flavoring ingredients increased during the COVID-19 pandemic situation. Tea with flavoring ingredients may be one of the best dietary sources of antioxidants, TPC, and TFC which are important for strengthening the immune system and controlling different physiological and metabolic disorders.

Keywords:

Antioxidant activity; Bioactive compound; COVID-19; Immunity; Tea

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Hossain M. Z, Easmin F, Bhuiyan S. I, Alim M. A, Akter S, Alam M. J, Rahman M. N, Haque M. A. Study on Tea Consumption Behavior during the Covid-19 Pandemic and the Analysis of the Antioxidant Activity and Bioactive Compounds of Flavoring Ingredients of Tea. Curr Res Nutr Food Sci 2023; 11(1). doi : http://dx.doi.org/10.12944/CRNFSJ.11.1.33


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Hossain M. Z, Easmin F, Bhuiyan S. I, Alim M. A, Akter S, Alam M. J, Rahman M. N, Haque M. A. Study on Tea Consumption Behavior during the Covid-19 Pandemic and the Analysis of the Antioxidant Activity and Bioactive Compounds of Flavoring Ingredients of Tea. Curr Res Nutr Food Sci 2023; 11(1). Available from: https://bit.ly/3ncY5wy


Introduction

Tea is one of the most consumed non-alcoholic beverages and two-thirds of the world’s population drinks tea every morning.1 The active ingredient in tea, especially black and green tea, is catechin, which can act as a powerful antioxidant that prevents toxic effects and diseases in the body2,3 and play a crucial role in most biological activities.4 Green tea, in particular, has a higher antioxidant potential due to the presence of epicatechin gallate and epigallocatechin gallate contents that boost human health by protecting against antibacterial activities.5 In Bangladesh, tea is very popular among all ages of people, especially in the morning and afternoon time.6 People mostly drink tea with different flavoring ingredients like ginger, lemon leaves, orange peel, herbs, and spices to get an intrinsic flavor.7 Since the dawn of civilization, spices and herbs have been utilized to improve flavor and color in food. In addition, spices and herbs contain antioxidants and health-promoting phytochemicals that reduce free radicals and protect against oxidative stress.8 Apart from that, coronavirus, is an infectious disease that spread worldwide caused by the SARS-CoV-2 virus.9 The virus increases illness in the lungs and affects the respiratory system.10 One of the ways to fight this virus is to strengthen the body’s immune system. Bioactive compounds found in various herbs and spices have antiviral properties.11 Tea is recognized for its antioxidant effects, but adding herbs, spices, and other flavorful elements to tea may be a viable strategy to combat viruses and enhance the immune system.12 However, research on bioactive compounds of locally consumed tea flavorings is scarce. In Bangladesh, the consumption of tea with herbal ingredients is increasing daily, especially COVID-19 pandemic. Therefore, the goal of this research was to investigate more about tea consumption behavior during the COVID-19 pandemic and evaluate the antioxidant activity and bioactive compounds of flavoring substances in tea.

Methodology

Design of the Study

This study was designed to examine the tea-drinking behavior during the COVID-19 pandemic and evaluate the antioxidant activity, TPC, and TFC of regionally used tea flavorings.

Study Population and Study Area

The research was carried out in Tangail Sadar Upazila as a descriptive population-based analysis. Data were collected from Powro Uddan, the New Bus Stand, the Old Bus Stand, the Baby Stand, and Santosh Charabari of Tangail district, in Bangladesh. A stratified random sampling technique was used to collect 140 samples during the COVID-19 pandemic. Fifteen distinct flavorings were tested in the research lab of the Department of Food Technology and Nutritional Science (FTNS) at Mawlana Bhashani Science and Technology University (MBSTU), Bangladesh.

Questionnaire Development and Data Collection

A questionnaire with closed and open questions was developed to collect crucial demographic, socioeconomic, nutritional, and tea intake data. To make it as simple as possible to gather and collect information, all questions have been developed, updated, and rearranged. All the participants were given a statement and requested to sign a consent form before starting the interviews.

Antioxidant Activity Determination

The antioxidant activity of the extract samples was measured using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging technique.13 In methanol, oxidized DPPH has taken on a deep purple color. The absorbance was measured at 515 nm and the percent inhibition of the substance was calculated. In shortly, two grams of the sample were weighed and placed in a 10 mL methanol beaker. The substance was subsequently extracted for 4 h using a magnetic stirrer. After that, the extracts were filtered through number 42 What-Man filter paper. After that, the extract (50 µL) was mixed with the DPPH solution (3 mL) and stored in a dark place for 15 minutes. In a spectrophotometer at 515 nm, the absorbance of a freshly produced 0.002% DPPH solution in methanol and sample extract with DPPH solution was measured. The extract’s % inhibition of DPPH was estimated using the formula below:

Vol_11_No_1_Stu_Jah_eq1

Total Phenolic Content (TPC) Determination
To assess the TPC of all herbs and spices, the Folin-Ciocalteu (FCC) method was utilized.14 10% gallic acid solution (10 mg/mL), was prepared by liquefying gallic acid (1 g) in methanol (100 mL). A standard gallic acid curve (Figure 1) was generated by diluting a standard gallic acid solution (0.1, 0.5, 1.0, 2.5, and 5 mg/mL) in methanol. The diluted gallic acid solution (100 µL) was then combined with 500 µL of water before being mixed with 100 µL of FCC reagent. After 6 minutes of standing time, the mixture was diluted using 500 µL of purified water and 1 mL of 7% sodium carbonate. After 90 min, using a spectrophotometer, the absorbance was measured at 760 nm. All samples were subjected to the same technique and the same procedure in triplicates. Gallic acid equivalents (mg GAE/g) were used to quantify the TPC of herbs and spices.

 Vol_11_No_1_Stu_Jah_fig1

Figure 1: Standard curve of gallic acid.

Click here to view Figure

Total Flavonoid Content (TFC) Determination

Following an aluminum chloride complexing assay, the TFC of the sample was measured.15 At first, the standard solution (1% quercetin solution) was prepared by dissolving 1 g of quercetin in 100 mL of methanol. To generate a quercetin calibration curve (Figure 2) dilutions of the standard quercetin solution were produced in methanol at concentrations of 0.1, 0.5, 1.0, 2.5, and 5 mg/mL. Each quercetin dilution was prepared by mixing 500 µL distilled water and 100 µL sodium nitrate and then treated with a 10% strength aluminum chloride (150 µL) solution. After 5 minutes, 200 µL of a 1 M NaOH solution was added to the mixture and measured the absorbance at 510 nm. The same procedure was used on all samples. TFC was measured using quercetin equivalents (mg QE/g).

 Vol_11_No_1_Stu_Jah_fig2

Figure 2: Standard curve of quercetin. 

Click here to view Figure

Statistical Analysis

The data was collected, encoded, and uploaded to a computer for analysis using the SPSS program version 18.0. (SPSS 18.0, Chicago, IL, USA). Both category and numerical variables were described using descriptive statistics. Duncan Multiple Range Test (DMRT) of One-Way ANOVA at the significance level of 5% (p<0.05) was used to determine significant differences among the samples. Differences were considered to be significant at p< 0.05.

Results

Socio-Demographic and Anthropometric Assessment of the Participants

Demographic and socioeconomic information revealed that the majority of participants (68.60%) were male, with 53.57% being students (Table 1). The rest of the participants were from a variety of occupations, like job holders (17.86%), businesspersons (9.28%), and some from other professions (6.43%). Based on body mass index (BMI) measurement, the highest number of respondents were in the normal-weight group category (77.86%), and the second highest number of respondents (13.57%) were in the pre-obesity category. In the obese category, 2.14% of respondents were in the obesity class I group, and less than one percent were in class II obese group.

Table 1: Socio-demographic characteristics and anthropometric assessment of the respondents.

Characteristics Frequency Percentage (%)
Gender Male 96 68.60
Female 44 31.40
                                 Total 140 100
Occupation Day labor 18 12.86
Job holder 25 17.86
Businessperson 13 9.28
Student 75 53.57
Others 9 6.43
                                  Total 140 100
 Body Mass Index (BMI) Underweight 8 5.72
Normal weight 109 77.86
Pre-obesity 19 13.57
Obese class I 3 2.14
Obese class II 1 0.71
Obese class III 0 0
                                 Total 140

100

Tea Consumption Behavior of the Participants

Tea consumption patterns of the participants during the COVID-19 situation are given in Table 2. Among 140 participants, 70% consumed 1-3 cups of tea per day and 9.3% consumed more than 6 cups of tea per day. Most of the participants (63%) preferred to drink tea at the tea shops, and 26.40% preferred to drink tea at home. Besides, most of them (63.60%) preferred to consume black tea which is popularly known as “Rong chaa” in Bangladesh, and only 4.30% preferred flavored tea (Table 2).

Table 2: Tea consumption behaviors of the participants.

Characteristics Frequency Percentage (%)
1-3 98 70.00
4-5 29 20.70
6 or more 13 9.30
Total 140 100
Tea shops 88 62.90
Home 37 26.40
Workplace 14 10.00
Restaurants 1 0.70
Total 140 100
Black tea (Rong chaa) 89 63.60
Green tea 10 7.10
Milk tea 33 23.60
Flavored tea 6 4.30
Others 2 1.40
Total 140 100

The Choice of Tea Flavoring Ingredients

Table 3 represented that ginger was the most preferred flavoring ingredient (29.5%) followed by lemon leaf (11%), bay leaf (11%), clove (10.7%), lemon peel (7.6%), cinnamon (6.6%), cardamon (5.9%), and basil leaf (5.1%), etc.

Table 3: Preference for tea flavoring ingredients

Flavoring Ingredients Frequency      Percentage Percentage of case
Ginger 121 29.50 91.70
Clove 44 10.70 33.30
Orange-peel 7 1.70 5.30
Black cumin 11 2.70 8.30
Basil leaf 21 5.10 15.90
Lemon leaf 45 11.00 34.10
Mint 12 2.90 9.10
Cardamom 24 5.90 18.20
Lemon peel 31 7.60 23.50
Black pepper 10 2.40 7.60
Cinnamon 27 6.60 20.50
Guava leaf 6 1.50 4.50
Bay leaf 45 11.00 34.10
Moringa leaf 2 0.50 1.50
Amla 4 1.00 3.00
Total 410 100.0

310.60

Reasons behind the Consumption of Flavoring Ingredients in Tea

Most of the participants (54.80%) believed that flavoring ingredients used in tea increase immunity, while 18.50% took flavoring ingredients in tea as stress releasers, 16.10% as a habit, and 15.30% as taste enhancers (Table 4).

Table 4: Reasons behind the consumption of flavoring ingredients in tea.

Reasons Frequency Percentage Percentage of cases
Increase immunity 86 54.80 69.40
Taste 19 12.10 15.30
Availability 2 1.30 1.60
Habitual 20 12.70 16.10
Stress-releaser 23 14.60 18.50
Other reasons 7 4.50 5.60
Total 167 100.00 126.60

Increasing Tea Consumption during the COVID-19 Pandemic

About 57.86% of the participants have increased their tea consumption by at least 1 to more than 4 cups since the non-covid-19 period. Among them, 18.60% have increased consumption by 2 cups more during the pandemic and 22.80% have increased consumption by at least one cup more throughout the pandemic.

Table 5: Increasing tea consumption during the COVID-19 pandemic

Number of increased tea consumption Frequency Percentage
1 more 32 22.80
2 more 26 18.60
3 more 12 8.50
4 more 4 2.90
>4 7 5.00
Total 81 57.86
No change in consumption 59 42.14
Total 140 100

Antioxidant Activity, TPC, and TFC

A significant variation in the antioxidant activity of the samples was found in this study (Table 6). The highest antioxidant activity (87%) was found in cinnamon whereas the lowest antioxidant activity (60%) was found in lemon. TPC in various flavoring ingredients extracts was found to be fairly high. Among all the extracts analyzed, clove extract contained the highest TPC of 36.52 mg GAE/g on a dry weight basis (dwb), whereas ginger had the lowest value of 9.62 mg GAE/g (dwb). The highest TFC was found in clove with 13.68 mg QE/g and moringa with 12.26 mg GAE/g. Other samples also showed a considerable amount of TFC. Table 6 also showed that antioxidant activity, TPC, and TFC of all tea flavoring agents were significantly (p<0.05) different from each other.

Table 6: Antioxidant activity, TPC, and TFC of flavoring ingredients

Tea flavoring ingredients Antioxidant activity (%) TPC (mg GAE/g) TFC (mg QE/g)
Ginger 68±1.234a 9.62±0.433b 2.34±0.184c
Clove 84±1.055a 36.52 ±1.299b 13.78±0.103c
Orange peel 83±3.462a 32.53±0.726b 6.48±0.228c
Black cumin 81±2.765a 27.00±1.036b 9.42±0.243c
Basil leaves 75±1.325a 21.62±1.514b 9.17±0.369c
Lemon leaf 60±0.786a 12.87±0.781b 1.45±0.224c
Mint 66±3.655a 14.84±0.568b 2.88±0.509c
Cardamom 72±2.423a 10.89±1.327b 3.67±0.115c
Lemon peel 85±2.643a 21.66±0.482b 7.47±0.222c
Black pepper 61±1.634a 16.32±0.733b 2.36±0. 272c
Cinnamon 87±2.543a 26.93±0.918b 9.96±0.063c
Guava leaf 69±1.753a 13.65±1.010b 4.64±0.219c
Bay leaf 82±2.684a 29.36±1.020b 8.64±0.129c
Moringa 82±1.794a 32.70±0.835b 12.26±0.321c
Amla 73±2.468a 24.88±0.953b 9.80±0.048c

Data expressed as Mean±SEM. Values in the same row with different superscripts are statistically significant from each other (p < 0.05).

Correlation Among Antioxidant Activity, TPC, and TFC

Figure 3 and Table 7 depict the relationship among the sample’s TPC, TFC, and antioxidant activities. At a 95% confidence level, the correlation coefficient values for TPC (R2=0.7316) and TFC (R2=0.6662) were observed.

 Vol_11_No_1_Stu_Jah_fig3

Figure 3: Correlation among antioxidant activity, TPC, and TFC

Click here to view Figure

Table 7: Correlation significance among antioxidant, TPC and TFC

Criteria Antioxidant vs TPC Antioxidant vs TFC
r 0.8553 0.8162
R squared 0.7316 0.6662
P (two-tailed) 0.0001 0.0002
Significant (p<0.05) Yes Yes
Number of XY Pairs 15 15

When the antioxidant activity of the sample was compared to the TPC of the sample, a significant connection (p<0.05) was found. When comparing the antioxidant activity and TFC, a comparable result was obtained (p<0.05).

Discussion

The purpose of this study was to observe the tea consumption behavior during the COVID-19 pandemic and after that, the antioxidant activity of ingredients used in tea as a flavoring ingredient was analyzed. According to the findings, the majority of the respondents were male students who preferred to drink one to three cups of tea while sitting in a tea stall. During the pandemic, most people stayed at home due to the lockdown; however, young people and students sometimes spend their time in the tea stall. The preference of tea flavoring diverges from one respondent to another, but typically ginger was the top choice of tea flavoring among clove, orange peel, black cumin, basil leaf, lemon leaf, mint, cardamom, lemon peel, black pepper, cinnamon, guava leaf, bay leaf, and moringa leaf. In the Indian subcontinent, most people like different types of herbs and spices in tea, and the present study showed that the choice of flavoring ingredients used in tea varied from one respondent to another; however, ginger, bay leaf, lemon leaf, clove were the top choices in their tea which is similar to the previous study.16 The majority of the respondents believed that tea flavoring ingredients were immune-boosting ingredients, and others have taken them due to taste preference. The immune system protects against different types of viruses and diseases.17 That is why more than half of the participants have increased their tea consumption throughout the COVID-19 pandemic, and a quarter of the participants increased drinking at least one more cup of tea during the pandemic. The present finding supports other research that, in the COVID-19 lockdown, tea intake went up at least one cup higher than in the non-COVID-19 situation.18 A similar result was found in another study, where 70% of tea consumption has increased during the COVID-19 pandemic.19 Tea consumption may have increased because most people had free time during the pandemic, and tea is a source of social gatherings, and they believe it will improve their mood.20 This study also showed a substantial difference in the antioxidant activity of the samples. It is well known that different types of herbs and spices contain a significant amount of bioactive compounds and can act as antioxidants against free radicals. These herbs and spices are utilized as tea flavoring ingredients which can boost the immune system during the COVID-19 pandemic. Although different types of ingredients have contained different levels of bioactive compounds, overall tea consumption ultimately helps in absorbing these phytochemicals. Among them, the cinnamon leaf had the most antioxidant activity, whereas the lemon leaf had the least. In the case of the antioxidant activity of fifteen flavoring ingredients, the highest value was found in the cinnamon leaf (87%) which was similar to the previous study (87.45%).21 However, other researchers also found a lower antioxidant activity value of 67.67% in cinnamon.22 This study also found the lowest antioxidant activity in the lemon leaf (60%). However, a lower value was also found (11.10%) in another research.23 The antioxidant activity of the different herbs depends on various factors like processing conditions (time, temperature), storage condition, production location, variety, etc. So, it is obvious that the antioxidant activity, as well as the bioactive compounds of these flavoring agents, vary from one to another.24 The TPC of several flavoring agent extracts was shown to be rather high. Clove extract had the greatest TPC of all the extracts tested, whereas ginger had the lowest. Clove is widely used in tea as a flavoring ingredient that has important properties in terms of bioactive compounds.25 It is clear that TPC varied from one herb to another, but when these herbs are combined and used in tea, they have the potential to have benefits for human health. A previous study found that, on a dry weight basis, clove had the greatest TFC, whereas lemon leaf had the lowest.25 Among all the extracts analyzed, it was found that clove extract contained the highest TPC of 36.52 mg GAE/g (dwb). However, some of the other researchers found a higher value of 170.90 mg GAE/g26 and also a lower value of 14.38 mg GAE/g (dwb) than the current findings.27, 28 The variation of results of TPC in the different studies may be due to the use of various methods as well as a variety of spices, production processes, and storage conditions.29 It was also found that ginger had the lowest value of TPC at 9.62 mg GAE/g (dwb) but another study found a lower value of 0.63 mg GAE/g (dwb).27 The highest TFC was found in clove (13.68 mg QE/g). A higher value of 75.97 mg QE/g30 and a lower value of 1.39 mg QE/g of clove were also documented.22 The lowest TFC content was found in lemon leaf (1.45 mg QE/g) on a dry weight basis. However, a higher value was documented by another research with 22.43 mg QE/g.31 The current study and previous studies showed that different flavoring ingredients contain different amounts of TPC and TFC and the antioxidant activity, TPC, and TFC of all tea flavoring agents are significantly (p<0.05) different from each other.

The variation in TFC may be because most of the herbs were generally derived from various plant sources and also from different plant species, extraction methods, processing methods, and growing conditions.24 The variation of TPC and TFC content in different ingredients also varies with cooking temperature and other factors. So, tea preparation at high temperatures may reduce these phytochemicals.32 Furthermore, correlation coefficients were discovered with TPC (R2=0.7316) and TFC (R2=0.6662) content at a 95% confidence level. This loosely correlated relationship could be a result of the unidentified phytochemicals in the compound. Elsewhere, other researchers reported on the linear relationship among TPC, TFC, and antioxidant capacity.33, 34 Besides, when the sample’s antioxidant activity was compared to its TPC, a noteworthy relationship (p<0.05) was discovered. On the other hand, when the antioxidant activity was compared to TFC, a similar result was found in some study findings (p<0.05).21, 27 Finally, tea is not only a drink for social enjoyment, but it also contains a lot of potential immune-boosting ingredients that are directly beneficial to human health. Tea consumption during the COVID-19 pandemic has increased due to its positive effect on our health and mind. Although a significant variation of TPC, TFC, and antioxidant activity, has been observed in different herbs, the combined use of these herbs in tea can be a potential source of these phytochemicals.

Conclusion

It is concluded that people increased their tea consumption during the COVID-19 pandemic compared to the non-COVID situation. It is believed that the ingredients in tea help to boost the immune system. Tea flavoring ingredients contained a fairly good amount of TPC, TFC, and antioxidant activity, and a correlation was found among them. It signifies that there is a lot of potential in using ordinary herbs and spices as flavoring agents to improve COVID-19 immunity. Finally, tea usage surged during the COVID-19 pandemic, and tea flavoring components had significant antioxidant activity, TPC, and TFC, all of which protect against many illnesses and enhance the immune system.

Conflict of Interest

The authors state that they have no financial or other conflicts of interest.

Acknowledgment

The researchers would like to express their gratitude to the research subjects who took part in this study. We are grateful to the Department of FTNS, MBSTU, Tangail, Bangladesh for providing laboratory space for this study.

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