Background: In yoghurt production, additives and flavours are added after the fermentation process, but in the case of yoghurts with the addition of tea extracts all studies concern set-type yoghurts. For this reason, the aim of this study was to analyse the effect of green, black, red (Pu-erh) and white tea extracts addition on sensory characteristics, pH, viscosity and colour of stirred probiotic yoghurts stored for two weeks.
Methods: Skim milk powder (10% w/w), sucrose (4% w/w) and typical yoghurt cultures with the addition of Lactobacillus acidophilus LA-5 were applied for yoghurt manufacture. Then yoghurts were stirred and 4, 8, 12% black, red, green and white tea extracts were added. The samples were analysed after 1, 3, 7 and 14 days of storage at 5ºC. Instrumental colour (L*a*b*) determination, rheological measurements and sensory evaluation were carried out.
Results: The pH analysis of the final yoghurt samples showed that the type and quantity of tea extract addition had little effect. Apparent viscosity was affected by 12% addition of tea extracts but not by storage time. The instrumental analysis of the colour confirmed the visual assessment. Sensory evaluation revealed that yoghurts with the addition of green tea extract were the most accepted. The addition of extracts made of red, black and white tea resulted in lower values of all the sensory characteristics tested.
Conclusions: The stirring method can be applied to the production of probiotic yoghurts with various tea extracts. The acidity of the yoghurts was practically not affected by the addition of the infusion derived from the different types of tea. 4% addition of tea extract did not affect the viscosity of the yoghurts. The best sensory scores among tea yoghurts were obtained by yoghurt with 4% green tea addition.
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http://dx.doi.org/10.17306/J.AFS.0653 | DOI Listing |
Sci Rep
December 2024
College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang, 47100, China.
Tea bud detection technology is of great significance in realizing automated and intelligent plucking of tea buds. This study proposes a lightweight tea bud identification model based on modified Yolov5 to increase the picking accuracy and labor efficiency of intelligent tea bud picking while lowering the deployment pressure of mobile terminals. The following methods are used to make improvements: the backbone network CSPDarknet-53 of YOLOv5 is replaced with the EfficientNetV2 feature extraction network to reduce the number of parameters and floating-point operations of the model; the neck network of YOLOv5, the Ghost module is introduced to construct the ghost convolution and C3ghost module to further reduce the number of parameters and floating-point operations of the model; replacing the upsampling module of the neck network with the CARAFE upsampling module can aggregate the contextual tea bud feature information within a larger sensory field and improve the mean average precision of the model in detecting tea buds.
View Article and Find Full Text PDFGels
December 2024
Department for Pharmaceutical Research and Development, Institute for Medicinal Plant Research "Dr. Josif Pančić", Tadeuša Koscuška 1, 11000 Belgrade, Serbia.
Natural deep eutectic solvents (NaDES) were employed for the extraction of bilberry and green tea leaves. This study explored the incorporation of these NaDES extracts into various carrier systems: hydrogels, emulsions, and emulgels stabilized with hydroxyethyl cellulose or xanthan gum. The results demonstrated that, when combined with synthetic UV filters, the NaDES extracts significantly enhanced the SPF and improved the antioxidant properties of the formulation.
View Article and Find Full Text PDFPhytochem Anal
December 2024
Department of Chemistry, Colorado State University, Fort Collins, Colorado, USA.
Introduction: Phenolic compounds garner interest in developing medicines, nutraceuticals, and cosmeceuticals based on natural products. The quantity of phenolic compounds in a sample is commonly determined via spectrophotometry; however, this instrumented technique is relatively laborious and time consuming and requires a large amount of reagents.
Objective: This work aimed to develop a simple, point-of-need colorimetric sensor to rapidly determine total phenolic content (TPC) in tea extracts.
Fitoterapia
December 2024
Laboratory of Bioresources, Biotechnology, Ethnopharmacology and Health. Faculty of Sciences, Mohammed First University, Oujda, BP-717, 60000 Oujda, Morocco. Electronic address:
Ethnopharmacological Relevance: Hypertension is a serious health problems and a leading cause of adult mortality worldwide. Foeniculum. vulgare Mill, a plant traditionally used for various ailments, including cardiovascular disorders such as hypertension.
View Article and Find Full Text PDFFood Sci Nutr
December 2024
Department of Pharmacology, School of Pharmacy Xinjiang Medical University Urumqi Xinjiang China.
Rupr. is a berry fruit shrub found in the north-western region of China, locally its fruit is consumed as a tea ingredient a part of the daily diet, for treatment of different diseases like eczema, and for cardiovascular care as a traditional remedy. In the current study, an optimized ultrasound-assisted extraction (UAE) method is developed using response surface methodology (RSM) to extract anthocyanins from the fruit.
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