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Zhou G, Dai Y, Ge D, Yang J, Fu Q, Jin Y, Liang X. Comprehensive HPLC fingerprint analysis based on a two-step extraction method for quality evaluation of Perilla frutescens (L.) Britt. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1888-1895. [PMID: 36988039 DOI: 10.1039/d3ay00172e] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Abundant chemical components are key to ensure the evaluation accuracy of fingerprint analysis of traditional Chinese medicines (TCMs). A two-step extraction method combining supercritical fluid extraction (SFE) and water ultrasonic extraction was established for the quality evaluation of Perilla frutescens (L.) Britt. Weakly polar components were extracted under optimal SFE conditions (15% co-solvent (EtOH : n-hexane = 1 : 14, (v/v)), 40 °C, 250 bar, and 30 min), and polar components were subsequently extracted by an ultrasonic step (100% water as solvent, 40 °C, and 45 min). Then, HPLC methods were established, which were validated to be accurate, stable, and reliable. In this work, 25 batches of samples were evaluated and the data were analysed by similarity analysis (SA) and hierarchical cluster analysis (HCA). The similarity values of SFE extracts and aqueous extracts were respectively 0.616-0.999, and 0.252-0.997, proving the importance of the extraction method for the accuracy of the subsequent fingerprint analysis results. For the HCA, 25 samples were divided into two categories (leaves and stems), among which four batches of leaves with less similarity were considered as stems, indicating that quality differences of P. frutescens depending on medicinal parts and origin exist. The two-step extraction method developed in this work has been proved to be suitable for the quality evaluation of TCMs with complex compositions.
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Affiliation(s)
- Guanghao Zhou
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Yingping Dai
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Dandan Ge
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Jie Yang
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Qing Fu
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Yu Jin
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
| | - Xinmiao Liang
- Engineering Research Center of Pharmaceutical Process Chemistry, Ministry of Education, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, PR China.
- Key Lab of Separation Science for Analytical Chemistry, Key Lab of Natural Medicine, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, PR China
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Bilen C, El Chami D, Mereu V, Trabucco A, Marras S, Spano D. A Systematic Review on the Impacts of Climate Change on Coffee Agrosystems. PLANTS (BASEL, SWITZERLAND) 2022; 12:102. [PMID: 36616231 PMCID: PMC9824350 DOI: 10.3390/plants12010102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Coffee production is fragile, and the Intergovernmental Panel on Climate Change (IPCC) reports indicate that climate change (CC) will reduce worldwide yields on average and decrease coffee-suitable land by 2050. This article adopted the systematic review approach to provide an update of the literature available on the impacts of climate change on coffee production and other ecosystem services following the framework proposed by the Millenium Ecosystem Assessment. The review identified 148 records from literature considering the effects of climate change and climate variability on coffee production, covering countries mostly from three continents (America, Africa, and Asia). The current literature evaluates and analyses various climate change impacts on single services using qualitative and quantitative methodologies. Impacts have been classified and described according to different impact groups. However, available research products lacked important analytical functions on the precise relationships between the potential risks of CC on coffee farming systems and associated ecosystem services. Consequently, the manuscript recommends further work on ecosystem services and their interrelation to assess the impacts of climate change on coffee following the ecosystem services framework.
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Affiliation(s)
- Christine Bilen
- Department of Soil, Plant and Food Sciences, University of Bari ‘Aldo Moro’, 70126 Bari, BA, Italy
| | | | - Valentina Mereu
- Impacts on Agriculture, Forestry and Ecosystem Services (IAFES) Division, Euro-Mediterranean Center on Climate Changes (CMCC), 07100 Sassari, SS, Italy
| | - Antonio Trabucco
- Impacts on Agriculture, Forestry and Ecosystem Services (IAFES) Division, Euro-Mediterranean Center on Climate Changes (CMCC), 07100 Sassari, SS, Italy
| | - Serena Marras
- Impacts on Agriculture, Forestry and Ecosystem Services (IAFES) Division, Euro-Mediterranean Center on Climate Changes (CMCC), 07100 Sassari, SS, Italy
- Department of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy
| | - Donatella Spano
- Impacts on Agriculture, Forestry and Ecosystem Services (IAFES) Division, Euro-Mediterranean Center on Climate Changes (CMCC), 07100 Sassari, SS, Italy
- Department of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy
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Portable NIR Spectroscopy-Chemometric Identification of Chemically Differentiated Yerba Mate (Ilex paraguariensis) Clones. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02431-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Tormena CD, Rutledge DN, Rakocevic M, Bruns RE, Scarminio IS, Marcheafave GG, Pauli ED. Exogenous application of bioregulators in Coffea arabica beans during ripening: Investigation of UV–Visible and NIR mixture design-fingerprints using AComDim-ICA. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Recent Applications of Mixture Designs in Beverages, Foods, and Pharmaceutical Health: A Systematic Review and Meta-Analysis. Foods 2021; 10:foods10081941. [PMID: 34441717 PMCID: PMC8391317 DOI: 10.3390/foods10081941] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/12/2021] [Accepted: 08/16/2021] [Indexed: 01/10/2023] Open
Abstract
Design of Experiments (DoE) is a statistical tool used to plan and optimize experiments and is seen as a quality technology to achieve products excellence. Among the experimental designs (EDs), the mixture designs (MDs) stand out, being widely applied to improve conditions for processing, developing, or formulating novel products. This review aims to provide useful updated information on the capacity and diversity of MDs applications for the industry and scientific community in the areas of food, beverage, and pharmaceutical health. Recent works were selected following the Preferred Reporting Items for Systematic Review and Meta-Analyses statement (PRISMA) flow diagram. Data analysis was performed by self-organizing map (SOM) to check and understand which fields of application/countries/continents are using MDs. Overall, the SOM indicated that Brazil presented the largest number of works using MDs. Among the continents, America and Asia showed a predominance in applications with the same amount of work. Comparing the MDs application areas, the analysis indicated that works are prevalent in food and beverage science in the American continent, while in Asia, health science prevails. MDs were more used to develop functional/nutraceutical products and the formulation of drugs for several diseases. However, we briefly describe some promising research fields in that MDs can still be employed.
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Time dependent berry maturation for planting density levels in Coffea arabica L. beans: Mixture design-fingerprinting using near-infrared transmittance spectroscopy. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2020.103795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Marcheafave GG, Tormena CD, Terrile AE, Salamanca-Neto CAR, Sartori ER, Rakocevic M, Bruns RE, Scarminio IS, Pauli ED. Ecometabolic mixture design-fingerprints from exploratory multi-block data analysis in Coffea arabica beans from climate changes: Elevated carbon dioxide and reduced soil water availability. Food Chem 2021; 362:129716. [PMID: 34006394 DOI: 10.1016/j.foodchem.2021.129716] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/26/2021] [Accepted: 03/21/2021] [Indexed: 01/14/2023]
Abstract
Ecometabolic mixture design-fingerprinting in coffee cultivated under climate change was chemically explored using ComDim. Multi-blocks were formed using UV, NIRS, 1H NMR, SWV, and FT-IR data. ComDim investigated all these different fingerprints according to the extractor solvent and in virtue of atmospheric CO2 increase. Ethanol and ethanol-dichloromethane showed the best separations due to CO2 environment. 1H NMR loading indicate increases of fatty acids, caffeine, trigonelline, and glucose in beans under current CO2 levels, whereas quinic acid/chlorogenic acids, malic acid, and kahweol/cafestol increased in beans under elevated CO2 conditions. SWV indicated quercetin and chlorogenic acid as important compounds in coffee beans cultivated under current and elevated CO2, respectively. Based on the ethanol and ethanol-dichloromethane fingerprints, k-NN correctly classified the beans cultivated under different carbon dioxide environments and water availabilities, confirming the existence of metabolic changes due to climate changes. SWV proved to be promising compared with widely used spectrometric methods.
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Affiliation(s)
- Gustavo Galo Marcheafave
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Cláudia Domiciano Tormena
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Amelia Elena Terrile
- Department of Chemistry, Federal University of Technology - Paraná, Av. dos Pioneiros 3131, 86036-370 Londrina, PR, Brazil
| | - Carlos Alberto Rossi Salamanca-Neto
- Laboratory of Electroanalytical and Sensors (LAES), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Elen Romão Sartori
- Laboratory of Electroanalytical and Sensors (LAES), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Miroslava Rakocevic
- Northern Rio de Janeiro State University - UENF, Plant Physiology Lab, Av. Alberto Lamego 2000, 28013-602 Campos dos Goytacazes, RJ, Brazil
| | - Roy Edward Bruns
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil
| | - Ieda Spacino Scarminio
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Elis Daiane Pauli
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil.
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Marcheafave GG, Tormena CD, Mattos LE, Liberatti VR, Ferrari ABS, Rakocevic M, Bruns RE, Scarminio IS, Pauli ED. The main effects of elevated CO 2 and soil-water deficiency on 1H NMR-based metabolic fingerprints of Coffea arabica beans by factorial and mixture design. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 749:142350. [PMID: 33370915 DOI: 10.1016/j.scitotenv.2020.142350] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/20/2020] [Accepted: 09/09/2020] [Indexed: 06/12/2023]
Abstract
The metabolic response of Coffea arabica trees in the face of the rising atmospheric concentration of carbon dioxide (CO2) combined with the reduction in soil-water availability is complex due to the various (bio)chemical feedbacks. Modern analytical tools and the experimental advance of agronomic science tend to advance in the understanding of the metabolic complexity of plants. In this work, Coffea arabica trees were grown in a Free-Air Carbon Dioxide Enrichment dispositive under factorial design (22) conditions considering two CO2 levels and two soil-water availabilities. The 1H NMR mixture design-fingerprinting effects of CO2 and soil-water levels on beans were strategically investigated using the principal component analysis (PCA), analysis of variance (ANOVA) - simultaneous component analysis (ASCA) and partial least squares-discriminant analysis (PLS-DA). From the ASCA, the CO2 factor had a significant effect on changing the 1H NMR profile of fingerprints. The soil-water factor and interaction (CO2 × soil-water) were not significant. 1H NMR fingerprints with PCA, ASCA and PLS-DA analysis determined spectral profiles for fatty acids, caffeine, trigonelline and glucose increases in beans from current CO2, while quinic acid/chlorogenic acids, malic acid and kahweol/cafestol increased in coffee beans from elevated CO2. PLS-DA results revealed a good classification performance between the significant effect of the atmospheric CO2 levels on the fingerprints, regardless of the soil-water availabilities. Finally, the PLS-DA model showed good prediction ability, successfully classifying validation data-set of coffee beans collected over the vertical profile of the plants and included several fingerprints of different extracting solvents. The results of this investigation suggest that the association of experimental design, mixture design, PCA, ASCA and PLS-DA can provide accurate information on a series of metabolic changes provoked by climate changes in products of commercial importance, in addition to minimizing the extra work necessary in classic analytical approaches, encouraging the development of similar strategies.
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Affiliation(s)
- Gustavo Galo Marcheafave
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Cláudia Domiciano Tormena
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Lavínia Eduarda Mattos
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | - Vanessa Rocha Liberatti
- Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil
| | | | - Miroslava Rakocevic
- Northern Rio de Janeiro State University - UENF, Plant Physiology Lab, Av. Alberto Lamego 2000, 28013-602 Campos dos Goytacazes, RJ, Brazil; Embrapa Environment, Rodovia SP 340, Km 127.5, 13820-000 Jaguariúna, SP, Brazil
| | - Roy Edward Bruns
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil
| | - Ieda Spacino Scarminio
- Laboratory of Chemometrics in Natural Sciences (LQCN), Department of Chemistry, State University of Londrina, CP 6001, 86051-990 Londrina, PR, Brazil.
| | - Elis Daiane Pauli
- Institute of Chemistry, State University of Campinas, CP 6154, 13083-970 Campinas, SP, Brazil
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