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R S, Rasane P, Singh A, Singh J, Kaur S, Nanda V, Kaur J, Gunjal M, Bhadariya V, Ercisli S, Ullah R, Ali EA. Image analysis-based discoloration rate quantification and kinetic modeling for shelf-life prediction in herb-coated pear slices. Sci Rep 2024; 14:1647. [PMID: 38238415 PMCID: PMC10796316 DOI: 10.1038/s41598-024-51840-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 01/10/2024] [Indexed: 01/22/2024] Open
Abstract
The present research study aimed to examine three different herb extract's effects on the discoloration rate of fresh-cut pear slices using an image analysis technique. Pear slices were sprayed and dip-coated with Ocimum basilicum, Origanum vulgare, and Camellia sinensis (0.1 g/ml) extract solution. During 15 days storage period with three days intervals, all sprayed/dip-coated pear slices were analyzed for the quality attribute (TA) and color parameters notably a*, b*, hue angle (H*), lightness (L*), and total color change (ΔE). Further, order kinetic models were used to observe the color changes and to predict the shelf-life. The results obtained showed that the applicability of image analysis helped to predict the discoloration rate, and it was better fitted to the first-order (FO) kinetic model (R2 ranging from 0.87 to 0.99). Based on the kinetic model, color features ΔE and L* was used to predict the shelf-life as they had high regression coefficient values. Thus, the findings obtained from the kinetic study demonstrated Camellia sinensis (assamica) extract spray-coated pear slices reported approximately 28.63- and 27.95-days shelf-stability without much discoloration compared with all other types of surface coating.
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Affiliation(s)
- Sathya R
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Prasad Rasane
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India.
| | - Aishvina Singh
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Jyoti Singh
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Sawinder Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Vikas Nanda
- Sant Longowal Institute of Engineering and Technology, Sangrur, Punjab, 148106, India
| | - Jaspreet Kaur
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Mahendra Gunjal
- Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Vishesh Bhadariya
- School of Chemical Engineering, Oklahoma State University, Stillwater, OK-74078, USA
| | - Sezai Ercisli
- Department of Horticulture, Faculty of Agriculture, Ataturk University, 25240, Erzurum, Turkey
- HGF Agro, ATA Teknokent, TR-25240, Erzurum, Turkey
| | - Riaz Ullah
- Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Essam A Ali
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
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Quality characteristics of green Tea's infusion as influenced by brands and types of brewing water. Heliyon 2022; 9:e12638. [PMID: 36816296 PMCID: PMC9932355 DOI: 10.1016/j.heliyon.2022.e12638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/23/2022] [Accepted: 12/20/2022] [Indexed: 12/27/2022] Open
Abstract
The influences of four types of brewing waters including tap water (TAP), alkaline ionized water (ALK), magnetized water (MAG) and mineral water (MIN), and two brands of commercial green tea (L and T) on quality characteristics of tea infusions were studied. The Oxidation Reduction Potential (ORP) values of the brewing waters was TAP > MAG, MIN > ALK. After brewing, all infusions showed a significant drop (p < 0.05) in pH values. The pH of original brewing waters of ALK (8.64) was the highest as compared to other waters, whereas L-MIN (pH 6.63) and T-MIN (pH 5.82) showed the highest pH values after brewing. Overall, the quality characteristics of green tea infusions were influenced by the brands of tea and the types of brewing water used. MAG was the most superior brewing water in extracting the green tea. Evidenced by total phenolic and flavonoids contents, both L-MAG and T-MAG infusions were superior in extracting antioxidative compounds as compared to other tea infusions. In addition, T-MAG infusion was the least astringent (P < 0.05) and scored the highest (P < 0.05) overall acceptability ( 5.40 ) by sensory panelists.
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The Influence of Green and Black Tea Infusion Parameters on Total Polyphenol Content and Antioxidant Activity by ABTS and DPPH Assays. BEVERAGES 2022. [DOI: 10.3390/beverages8020018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Tea contains about 230 chemical bioactive compounds, of which polyphenols represent the most considerable fraction (30% of total dry weight). These compounds have relevant nutritional and pharmacological effects on human health, exerting antioxidant activities against oxidative stress-induced damage. The industrial processes applied in tea production can lead to qualitative and quantitative changes in the phenolic content and composition and in antioxidant properties, thus influencing their potential biological activities. Meanwhile, the procedure for tea preparation may influence the quantity of the extracted phenolic compounds. In this study, the effects of different infusion parameters, such as the water type used for infusion (tap water, distilled water, and natural mineral water), time (3, 5, and 10 min), temperature (T = 80 °C and 100 °C), and pH (ranged between 3 and 9) were considered. The optimal infusion variables resulting from the study were obtained by extracting phenolic compounds at T = 100 °C for 10 min, both for green (916.12–1169.81 mg GAE/g) and black (932.03–1126.62 mg GAE/g) bagged tea samples, respectively.
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Unraveling the difference in aroma characteristics of Huangjiu from Shaoxing region fermented with different brewing water, using descriptive sensory analysis, comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry and multivariate data analysis. Food Chem 2022; 372:131227. [PMID: 34627089 DOI: 10.1016/j.foodchem.2021.131227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 09/06/2021] [Accepted: 09/23/2021] [Indexed: 11/21/2022]
Abstract
To investigate the specific difference in aroma characteristics of Huangjiu (Chinese rice wine) in Shaoxing region fermented with different brewing water, descriptive sensory analysis, comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry (GC × GC-qMS) and multivariate statistical analysis were employed. The descriptive sensory analysis proved that Huangjiu fermented with Jianhu water had higher overall aroma intensity, and was more prominent in ester, sweet and alcoholic aroma than those fermented with deionized water and Nenjiang water. The results of aroma components analysis by GC × GC-qMS showed that the Huangjiu fermented with Jianhu water had higher concentration of some key aroma compounds, such as ethyl butyrate (OAV: 29-196), isoamyl acetate (OAV: 11-18) and ethyl hexanoate (OAV: 38-47). The multivariate statistical analysis further confirmed that 14 compounds could be used as key markers to distinguish the Huangjiu samples fermented with different brewing water. The correlation network between the volatile compounds in Huangjiu and the inorganic components in water indicated that the ions played an important role in the formation of the difference in aroma characteristics among the samples.
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