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An H, Ou X, Chen Y, Huang Y, Ying J, Jiang Y, Yuan Y, Tan Y, Xie Y, Liu Z, Huang J, Li S. Scenting: An effective processing technology for enriching key flavor compounds and optimizing flavor quality of decaffeinated tea. Food Chem 2024; 467:142372. [PMID: 39657485 DOI: 10.1016/j.foodchem.2024.142372] [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: 07/24/2024] [Revised: 11/08/2024] [Accepted: 12/02/2024] [Indexed: 12/12/2024]
Abstract
Decaffeinated teas (DTs) are preferred for their low caffeine content, but their flavor was unsatisfactory. To explore and optimize the flavor of DT decaffeinated by supercritical carbon dioxide (SCD), the volatiles and non-volatiles were analyzed using mass spectrometry. Results showed that SCD results in the loss of the original tea flavor by reducing the volatiles associated with floral aroma and non-volatiles related to sweet and mellow. Scenting significantly optimized the comprehensive flavor of DTs by blending DTs with fresh jasmine. The aroma of DTs was improved by absorbing the high concentration of volatiles released by jasmine, and their jasmine taste resulted from the subsequent release of methyl anthranilate dissolved in tea infusion. Jasmine decaffeinated tea with a powerful and long-lasting jasmine aroma can be obtained with 100 % amount of flowers. The scenting provided in this study can effectively optimize the flavor of DTs, thereby positively impacting the development of DTs.
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Affiliation(s)
- Huimin An
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China
| | - Xingchang Ou
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China
| | - Yuan Chen
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Hunan Co - Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China
| | - Yiwen Huang
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China
| | - Jiaqi Ying
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China
| | - Youcang Jiang
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China
| | - Yong Yuan
- Hunan Tea Group Co., Ltd, Changsha 410125, China
| | - Yueping Tan
- Hunan Tea Group Co., Ltd, Changsha 410125, China
| | - Yongxing Xie
- Hunan Tea Group Co., Ltd, Changsha 410125, China
| | - Zhonghua Liu
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Hunan Co - Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China.
| | - Jianan Huang
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.
| | - Shi Li
- Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China; National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China.
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Concha-Graña E, Moscoso-Pérez CM, Fernández-González V, López-Mahía P, Muniategui-Lorenzo S. A green approach for the automatic quantitative analysis of additives in plastic samples using in-tube extraction dynamic headspace sampling technique coupled to GC-MS/MS. Anal Chim Acta 2024; 1302:342487. [PMID: 38580405 DOI: 10.1016/j.aca.2024.342487] [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: 10/28/2023] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Many of the chemicals frequently used as additives have been recognised as hazardous substances, and therefore their analysis is necessary to evaluate plastic contamination risk. Additives analysis in plastic samples is usually performed by methods involving high volumes of toxic solvents or having high detection limits. In this work, a novel, fast, solventless and reliable green method was developed for the automated analysis of plastic additives from plastic samples. The proposed method consists of in-tube extraction dynamic headspace sampling (ITEX-DHS) combined with gas chromatography (GC) and mass spectrometry (MS/MS) determination. RESULTS Several parameters affecting the ITEX-DHS extraction of 47 additives in plastic samples (including phthalates, bisphenols, adipates, citrates, benzophenones, organophosphorus compounds, among others) were optimised. The use of matrix-matched calibration, together with labelled surrogate standards, minimises matrix effects, resulting in recoveries between 70 and 128%, with good quantitation limits (below 0.1 μg g-1 for most compounds) and precision (<20%). The method proposed can be applied to any type of polymer, but due to the existence of the matrix effect, calibrates with the adequate matrix should be performed for each polymer. SIGNIFICANCE This method represents an effective improvement compared to previous methods because it is fast, solvent-free, fully automated, and provides reliable quantification of additives in plastic samples.
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Affiliation(s)
- Estefanía Concha-Graña
- Universidade da Coruña, Química Analítica Aplicada (QANAP) research group, Instituto Universitario de Medio Ambiente (IUMA), 15008, A Coruña, Spain.
| | - Carmen M Moscoso-Pérez
- Universidade da Coruña, Química Analítica Aplicada (QANAP) research group, Instituto Universitario de Medio Ambiente (IUMA), 15008, A Coruña, Spain
| | - Verónica Fernández-González
- Universidade da Coruña, Química Analítica Aplicada (QANAP) research group, Instituto Universitario de Medio Ambiente (IUMA), 15008, A Coruña, Spain
| | - Purificación López-Mahía
- Universidade da Coruña, Química Analítica Aplicada (QANAP) research group, Instituto Universitario de Medio Ambiente (IUMA), 15008, A Coruña, Spain
| | - Soledad Muniategui-Lorenzo
- Universidade da Coruña, Química Analítica Aplicada (QANAP) research group, Instituto Universitario de Medio Ambiente (IUMA), 15008, A Coruña, Spain.
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Ouyang Q, Rong Y, Wu J, Wang Z, Lin H, Chen Q. Application of colorimetric sensor array combined with visible near-infrared spectroscopy for the matcha classification. Food Chem 2023; 420:136078. [PMID: 37075576 DOI: 10.1016/j.foodchem.2023.136078] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/26/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Matcha tea powder is considered as an integral part of a healthy diet due to its enormous health benefits. In the current study, visible near-infrared (Vis-NIR) and colorimetric sensor array (CSA) techniques are applied to identify the matcha grades. The color-sensitive dyes reacted with their volatile compounds and the information was recorded by Vis-NIR spectroscopy, namely Vis-NIR-CSA. Specifically, three linear and three nonlinear classification models were compared, yielding the optimal identification rate by the back-propagation artificial neural network (BPANN) model with 99% and 98% in the calibration and prediction sets, respectively. The results indicated the sensor combined with the BPANN model could be applied satisfactorily in identification of different matcha grades. Additionally, the variations in volatile compounds between different matcha grades and eight characteristic volatile compounds were identified, which verified the sensor identification results. This study provided a scientific and novel method for the stability of matcha quality in production.
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Affiliation(s)
- Qin Ouyang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
| | - Yanna Rong
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Jiaqi Wu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Zhen Wang
- National Research and Development Center for Matcha Processing Technology, Jiangsu Xinpin Tea Co., Ltd, Changzhou 213254, PR China; Tea Industry Research Institute, Changzhou Academy of Modern Agricultural Sciences, Changzhou 213254, PR China
| | - Hao Lin
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
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Baishya T, Das P, Ashraf GJ, Dua TK, Paul P, Nandi G, Bhattacharya M, Sahu R. Tissue specific changes of phytochemicals, antioxidant, antidiabetic and anti-inflammatory activities of tea [ Camellia sinensis (L.)] extracted with different solvents. Z NATURFORSCH C 2022; 78:235-246. [PMID: 36565064 DOI: 10.1515/znc-2022-0174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/06/2022] [Indexed: 12/25/2022]
Abstract
Different parts of Camellia sinensis (L.) were extracted with solvents according to polarity, and the extracts' phytochemical profiling and biological activities were examined. The total phenolic (TPC) and total flavonoid (TFC) contents increased with the increasing polarity of the solvent which met its maximum in polar solvents. The increasing antioxidant, anti-inflammatory and antidiabetic activities were recorded with increasing polarity of solvents which showed hydroalcoholic as best solvent. The strong and significant correlation was among the TPC, TFC, DPPH, anti-inflammatory and antidiabetic activities for different parts of tea. HPTLC study of individual phenolic acids, epigallocatechin gallate, gallocatechin and theaflavin met their maximum level of content with polar solvents like hydroalcohol, methanol and water mostly in mainly tea leaves. Our finding suggested that the polar solvents and young leaves of tea were beneficial for obtaining extracts. On the other hand, phenolics were found to be potent antioxidant, anti-inflammatory and antidiabetic agent.
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Affiliation(s)
- Tania Baishya
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India.,Department of Tea Science, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Priya Das
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Gouhar Jahan Ashraf
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Tarun Kumar Dua
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Paramita Paul
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Gouranga Nandi
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Malay Bhattacharya
- Department of Tea Science, University of North Bengal, Darjeeling 734013, West Bengal, India
| | - Ranabir Sahu
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India
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Phytonutrients and Metabolism Changes in Topped Radish Root and Its Detached Leaves during 1 °C Cold Postharvest Storage. HORTICULTURAE 2021. [DOI: 10.3390/horticulturae8010042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Glucosinolates, lipid-soluble vitamins E and K contents, primary metabolites and plant hormones were analyzed from topped radish root and detached leaf during storage at 1 °C. The topped root was analyzed at 0, 5, 15, 30, and 90 days after storage while the detached leaf was analyzed at 0, 5, 15, 30, and 45 days in an airtight storage atmosphere environment. The results showed that aliphatic glucosinolates were gradually decreased in leaf but not in root. There was a highly significant correlation between tryptophan and 4-methoxyindoleglucobrassicin in both tissues (r = 0.922, n = 10). There was no significant difference in vitamins E and K in leaf and root during storage. Plant hormones partially explained the significantly changed metabolites by tissue and time, which were identified during cold storage. Phenylalanine, lysine, tryptophan, and myo-inositol were the most important biomarkers that explained the difference in leaf and root tissue during cold storage. The most different metabolism between leaf and root tissue was starch and sucrose metabolism. Therefore, different postharvest technology or regimes should be applied to these tissues.
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Paiva AC, Crucello J, de Aguiar Porto N, Hantao LW. Fundamentals of and recent advances in sorbent-based headspace extractions. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116252] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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Hung YC, Hsiao YH, Hsieh JF. Catechin content and free radical scavenging activity of Camellia sinensis twig extracts. INTERNATIONAL FOOD RESEARCH JOURNAL 2021. [DOI: 10.47836/ifrj.28.2.03] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The catechin content and antioxidant properties of various Camellia sinensis twig extracts, including a water extract (WE), 10% ethanol extract (10% EE), 50% ethanol extract (50% EE), and 95% ethanol extract (95% EE) were investigated. The 50% EE had the highest total phenolic content (161.3 ± 8.5 mg gallic acid equivalents/L) and total flavonoid content (278.9 ± 12.2 mg quercetin equivalents/L). High-performance liquid chromatography analysis suggested that epigallocatechin gallate and epigallocatechin were the predominant catechins in the twig extracts. The relative concentrations of six catechins isolated from the extracts were: 50% EE > 10% EE > WE > 95% EE. The 50% EE showed free radical-scavenging activity. The concentration of dry matter of 50% EE required to scavenge 50% of ABTS radicals was 102.8 ± 4.2 μg/mL. These results suggest that 50% EE can potentially be used as a source of catechins.
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Xu Q, Li W, Weng X, Owens G, Chen Z. Mechanism and impact of synthesis conditions on the one-step green synthesis of hybrid RGO@Fe/Pd nanoparticles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 710:136308. [PMID: 31923675 DOI: 10.1016/j.scitotenv.2019.136308] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 12/17/2019] [Accepted: 12/22/2019] [Indexed: 06/10/2023]
Abstract
While a one-step green synthesis of a hybrid material composed of reduced graphene oxide and bimetallic Fe/Pd nanoparticles (RGO@Fe/Pd NPs) was previously successfully reported and evaluated for the removal of organic contaminants, the relationship between the formation of RGO@Fe/Pd and the resulting reactivity was unclear. In this paper the impact of the specific synthetic conditions on the reactivity of RGO@Fe/Pd was investigated in order to enhance the removal efficiency of antibiotics such as rifampicin. The hybrid material (RGO@Fe/Pd) successfully removed 96.1% of rifampicin compared to only 63.5 and 81.0% for Fe nanoparticles and RGO, respectively. The best synthetic conditions for the formation of RGO@Fe/Pd included GO/Fe = 1:1 and Fe/Pd = 100: 5. In addition, GC-MS and FTIR were used to identify the main reducing biomolecules in the green tea extract responsible for the one-step synthesis of RGO@Fe/Pd as Catechol, Caffeine, 1,3,5-Benzenetriol. The morphology, size and surface composition of RGO@Fe/Pd was characterized by Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), X-Ray powder diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). These advanced characterization techniques suggested that during synthesis GO was initially converted to RGO, and thereafter Fe/Pd NPs (10-50 nm) were dispersed on RGO. Finally, a plausible formation mechanism for the one-step synthesis of the hybrid material was proposed.
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Affiliation(s)
- Qianyu Xu
- Fujian Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, Fujian Province, China
| | - Wenpeng Li
- Fujian Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, Fujian Province, China
| | - Xiulan Weng
- Fujian Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, Fujian Province, China
| | - Gary Owens
- Environmental Contaminants Group, Future Industries Institute, University of South Australian, Mawson Lakes, SA 5095, Australia
| | - Zuliang Chen
- Fujian Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Fujian Normal University, Fuzhou 350007, Fujian Province, China; Environmental Contaminants Group, Future Industries Institute, University of South Australian, Mawson Lakes, SA 5095, Australia.
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