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Kim GM, Ko CH, Chung JM, Kwon HC, Rhie YH, Lee SY. Seed Dormancy Class and Germination Characteristics of Prunus spachiana (Lavallée ex Ed.Otto) Kitam. f. ascendens (Makino) Kitam Native to the Korean Peninsula. Plants (Basel) 2024; 13:502. [PMID: 38498410 PMCID: PMC10891651 DOI: 10.3390/plants13040502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/20/2024]
Abstract
Prunus spachiana (Lavallée ex Ed.Otto) Kitam. f. ascendens (Makino) Kitam leaves exert natural anti-inflammatory effects by inhibiting nitric oxide formation. P. spachiana flowers bloom earlier than other Prunus spp. and thus could serve as a valuable resource for the horticulture and pharmaceutical industries. However, its seed dormancy class and germination traits remain uncharacterized. Thus, this study aimed to characterize the seed dormancy and germination of P. spachiana. Imbibition, phenological, and move-along experiments were performed, and the effects of H2SO4 treatment, hormone soaking, warm/cold stratification, and endocarp removal on germination were explored. Observation revealed that ripe seeds of P. spachiana contain developed embryos and are water permeable. Radicle and shoot emergence began in March and April, respectively, under natural conditions in the year following production. No seed germination was observed after 30 days of incubation at 4, 15/6, 20/10, or 25/15 °C under light/dark conditions, indicating the physiological dormancy of the seeds. Germination increased with prolonged stratification and was affected by incubation temperature. Seed scarification by H2SO4 and soaking with gibberellic acid (GA3) and fluridone were ineffective in breaking dormancy. However, GA3 soaking of the seeds after endocarp removal effectively induced germination (100%). These results indicate that P. spachiana seeds exhibit intermediate physiological dormancy.
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Affiliation(s)
- Gun Mo Kim
- Department of Horticulture and Breeding, Graduate of Andong National University, Andong 36792, Republic of Korea;
- Division of Wild Plant Seed Research, Baekdudaegan National Arboretum, Bonghwa 36209, Republic of Korea
| | - Chung Ho Ko
- Garden and Plant Resources Division, Korea National Arboretum, Yangpyeong 12519, Republic of Korea; (C.H.K.); (J.M.C.)
| | - Jae Min Chung
- Garden and Plant Resources Division, Korea National Arboretum, Yangpyeong 12519, Republic of Korea; (C.H.K.); (J.M.C.)
| | - Hak Cheol Kwon
- Natural Product Informatics Research Center, Korea Institute of Science and Technology, Gangneung 25451, Republic of Korea;
| | - Yong Ha Rhie
- Department of Horticulture and Forestry, Pai Chai University, Daejeon 35345, Republic of Korea;
| | - Seung Youn Lee
- Department of Horticulture and Breeding, Graduate of Andong National University, Andong 36792, Republic of Korea;
- Department of Smart Horticultural Science, Andong National University, Andong 36792, Republic of Korea
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Yang C, Dong H, Chen Y, Xu L, Chen G, Fan X, Wang Y, Tham YJ, Lin Z, Li M, Hong Y, Chen J. New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach. Environ Sci Technol 2024; 58:1187-1198. [PMID: 38117945 DOI: 10.1021/acs.est.3c07042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Atmospheric particles have profound implications for the global climate and human health. Among them, ultrafine particles dominate in terms of the number concentration and exhibit enhanced toxic effects as a result of their large total surface area. Therefore, understanding the driving factors behind ultrafine particle behavior is crucial. Machine learning (ML) provides a promising approach for handling complex relationships. In this study, three ML models were constructed on the basis of field observations to simulate the particle number concentration of nucleation mode (PNCN). All three models exhibited robust PNCN reproduction (R2 > 0.80), with the random forest (RF) model excelling on the test data (R2 = 0.89). Multiple methods of feature importance analysis revealed that ultraviolet (UV), H2SO4, low-volatility oxygenated organic molecules (LOOMs), temperature, and O3 were the primary factors influencing PNCN. Bivariate partial dependency plots (PDPs) indicated that during nighttime and overcast conditions, the presence of H2SO4 and LOOMs may play a crucial role in influencing PNCN. Additionally, integrating additional detailed information related to emissions or meteorology would further enhance the model performance. This pilot study shows that ML can be a novel approach for simulating atmospheric pollutants and contributes to a better understanding of the formation and growth mechanisms of nucleation mode particles.
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Affiliation(s)
- Chen Yang
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Hesong Dong
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Yuping Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Lingling Xu
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Gaojie Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Xiaolong Fan
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Yonghong Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, People's Republic of China
| | - Yee Jun Tham
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, Guangdong 519082, People's Republic of China
| | - Ziyi Lin
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Mengren Li
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Youwei Hong
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
| | - Jinsheng Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
- Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention, Chinese Academy of Sciences, Xiamen, Fujian 361021, People's Republic of China
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Aggarwal P, Baker J, Boyd MT, Coyle S, Probert C, Chapman EA. Optimisation of Urine Sample Preparation for Headspace-Solid Phase Microextraction Gas Chromatography-Mass Spectrometry: Altering Sample pH, Sulphuric Acid Concentration and Phase Ratio. Metabolites 2020; 10:metabo10120482. [PMID: 33255680 PMCID: PMC7760603 DOI: 10.3390/metabo10120482] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/17/2020] [Accepted: 11/17/2020] [Indexed: 12/21/2022] Open
Abstract
Headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) can be used to measure volatile organic compounds (VOCs) in human urine. However, there is no widely adopted standardised protocol for the preparation of urine samples for analysis resulting in an inability to compare studies reliably between laboratories. This paper investigated the effect of altering urine sample pH, volume, and vial size for optimising detection of VOCs when using HS-SPME-GC-MS. This is the first, direct comparison of H2SO4, HCl, and NaOH as treatment techniques prior to HS-SPME-GC-MS analysis. Altering urine sample pH indicates that H2SO4 is more effective at optimising detection of VOCs than HCl or NaOH. H2SO4 resulted in a significantly larger mean number of VOCs being identified per sample (on average, 33.5 VOCs to 24.3 in HCl or 12.2 in NaOH treated urine) and more unique VOCs, produced a more diverse range of classes of VOCs, and led to less HS-SPME-GC-MS degradation. We propose that adding 0.2 mL of 2.5 M H2SO4 to 1 mL of urine within a 10 mL headspace vial is the optimal sample preparation prior to HS-SPME-GC-MS analysis. We hope the use of our optimised method for urinary HS-SPME-GC-MS analysis will enhance our understanding of human disease and bolster metabolic biomarker identification.
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Affiliation(s)
- Prashant Aggarwal
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK; (P.A.); (J.B.); (C.P.)
- School of Medicine, Cedar House, University of Liverpool, Liverpool L69 3GE, UK
| | - James Baker
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK; (P.A.); (J.B.); (C.P.)
- School of Medicine, Cedar House, University of Liverpool, Liverpool L69 3GE, UK
| | - Mark T. Boyd
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, Cancer Research Centre, University of Liverpool, Liverpool L3 9TA, UK;
| | - Séamus Coyle
- Palliative Care Institute Liverpool, Cancer Research Centre, University of Liverpool, Liverpool L3 9TA, UK;
- Clatterbridge Cancer Centre, Liverpool L7 8YA, UK
| | - Chris Probert
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK; (P.A.); (J.B.); (C.P.)
| | - Elinor A. Chapman
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK; (P.A.); (J.B.); (C.P.)
- Palliative Care Institute Liverpool, Cancer Research Centre, University of Liverpool, Liverpool L3 9TA, UK;
- School of Medical Sciences, Bangor University, Bangor, Gwynedd LL57 2DG, UK
- Correspondence:
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Ouakki M, Galai M, Rbaa M, Abousalem AS, Lakhrissi B, Rifi EH, Cherkaoui M. Quantum chemical and experimental evaluation of the inhibitory action of two imidazole derivatives on mild steel corrosion in sulphuric acid medium. Heliyon 2019; 5:e02759. [PMID: 31768434 PMCID: PMC6872799 DOI: 10.1016/j.heliyon.2019.e02759] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 08/20/2019] [Accepted: 10/28/2019] [Indexed: 11/05/2022] Open
Abstract
The adsorption and corrosion inhibition properties of two imidazole derivatives namely, 2-(4-chlorophenyl)-1,4,5-triphenyl-1H-imidazole (IM-Cl) and 1,4,5-triphenyl-2-(p-tolyl)-1H-imidazole (IM-CH3) for mild steel in 0.5 M H2SO4 solution are studiedby electrochemical and computational calculations. The results obtained from the electrochemical methods show that IM-Cl and IM-CH3imparted high resistance and behave as mixed type inhibitors. Inhibition efficiency (IE %) increases with the increase of inhibitors concentration to attain 96 % and 91% at 10−3 M of IM-Cl and IM-CH3 respectively. EISdatais analyzed to model the inhibition process through appropriate equivalent circuit model. Thermodynamic and kinetic parameters controlling the adsorption process are calculated and discussed. DFT calculations are carried out at the B3LYP levels of theory with 6-31G (d,p) basis stein gas and aqueous phase for neutral and protonated forms. Quantum chemical calculations section of the study provides enough calculation and discussion on the relationship between corrosion inhibition and global reactivity descriptors.
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Affiliation(s)
- M Ouakki
- Laboratory of Materials, Electrochemistry and Environment (LMEE), Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
| | - M Galai
- Laboratory of Materials Engineering and Environment: Modelling and Application (LMEEMA), Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
| | - M Rbaa
- Laboratory Agro-Resources, Polymers and Process Engineering, Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
| | - A S Abousalem
- Chemistry Department, Faculty of Science, Mansoura University, El-Mansoura, 35516, Egypt.,Quality Control Lab, Operation Department, Jotun, Egypt
| | - B Lakhrissi
- Laboratory of Materials Engineering and Environment: Modelling and Application (LMEEMA), Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
| | - E H Rifi
- Laboratory of Organic Synthesis and Extraction Processes (LOSEP), Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
| | - M Cherkaoui
- Laboratory of Materials, Electrochemistry and Environment (LMEE), Faculty of Sciences, Ibn Tofail University, PB. 133-14000, Kenitra, Morocco
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