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Xu Y, Ye Y, Sun X. Memory enhancement of the new tryptamine-like components in the walnut kernel. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Zhang P, Chang C, Liu H, Yan Q, Jiang Z. Efficient enzymatic production of angiotensin I-converting enzyme inhibitory peptides from three protein-rich materials by electrolyzed water pretreatment. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2021.112864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Pakrah S, Rahemi M, Nabipour A, Zahedzadeh F, Kakavand F, Vahdati K. Sensory and nutritional attributes of Persian walnut kernel influenced by maturity stage, drying method, and cultivar. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Susan Pakrah
- Department of Horticulture College of Aburaihan University of Tehran Tehran Iran
| | - Majid Rahemi
- Department of Horticulture Faculty of Agriculture Shiraz University Shiraz Iran
| | - Alireza Nabipour
- Agricultural Research, Education and Extension Organization Rice Research Institute of Iran Amol Iran
| | - Fatemeh Zahedzadeh
- Department of Horticulture Faculty of Agriculture Tabriz University Tabriz Iran
| | - Farshad Kakavand
- Department of Horticulture Faculty of Agriculture Zanjan University Zanjan Iran
| | - Kourosh Vahdati
- Department of Horticulture College of Aburaihan University of Tehran Tehran Iran
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Pandey DK, Kaur P, Kumar V, Banik RM, Malik T, Dey A. Screening the elite chemotypes of Gloriosa superba L. in India for the production of anticancer colchicine: simultaneous microwave-assisted extraction and HPTLC studies. BMC PLANT BIOLOGY 2021; 21:77. [PMID: 33546591 PMCID: PMC7866646 DOI: 10.1186/s12870-021-02843-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 01/14/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Gloriosa superba L. (Colchicaceae) is a high-value medicinal plant indigenous to Africa and Southeast Asia. Its therapeutic benefits are well-established in traditional medicines including Ayurveda. It is well known for its natural bioactive compound colchicine which exhibits a wide range of pharmacological activities i.e. rheumatism, gout and was also introduced into clinical practices. The increasing demand as well as its illegal harvesting has brought this valuable plant under threatened category. METHODS The present investigation describes a microwave assisted extraction (MAE) strategy coupled with a densitometric-high performance thin layer chromatographic (HPTLC) methodology for the analysis of colchicine from 32 different populations of G. superba. A Box-Behnken statistical design (3 level factor) has been employed to optimize MAE, in which power of microwave, time of irradiation, aqueous ethanol and pH were used as independent variables whereas colchicine was used as the dependent variables. Chromatography was carried out on Silica gel 60 F254 TLC plates with toluene: methanol, 85:15 (v/v) being used as solvent system. Densitometric measurement was performed at λ=254 nm following post-derivatization (10% methanolic sulphuric acid). RESULTS Optimal conditions for extraction to obtain the maximum colchicine yield was found to be 7.51 mg g- 1 which was very close to be predicted response 7.48 mg g- 1 by maintaining microwave power (460 W), irradiation time (6.4 min), aqueous ethanol-30, pH -3. Colchicine content ranged between 2.12-7.58 mg g- 1 among 32 G. superba populations in which only three chemotypes viz. GS- 1, GS- 3, and GS- 2 collected from West Bengal and Sikkim, respectively exhibited maximum yield of colchicine. CONCLUSION Therefore, this newly developed optimized MAE coupled with HPTLC densitometry methodology not only quantifies colchicine in order to identify elite chemotypes of G. superba, but it also encourages in selecting high yielding populations of the plants for industrial use and economic boost for the farmers. This validated, simple and reproducible HPTLC protocol is being used for the first time to estimate colchicine from natural populations of G. superba obtained from 32 different geographical regions of India.
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Affiliation(s)
- Devendra Kumar Pandey
- Department of Biotechnology, School of Biotechnology and Biosciences, Lovely Professional University, Phagwara, Punjab, 144411, India.
| | - Prabhjot Kaur
- Department of Biotechnology, School of Biotechnology and Biosciences, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - Vijay Kumar
- Department of Biotechnology, School of Biotechnology and Biosciences, Lovely Professional University, Phagwara, Punjab, 144411, India
| | - R M Banik
- School of Biochemical Engineering, Indian Institute of Technology BHU, Varanasi, India
| | - Tabarak Malik
- Department of Biochemistry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
| | - Abhijit Dey
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.
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Golly MK, Ma H, Yuqing D, Wu P, Dabbour M, Sarpong F, Farooq M. Enzymolysis of walnut (Juglans regia L.) meal protein: Ultrasonication-assisted alkaline pretreatment impact on kinetics and thermodynamics. J Food Biochem 2019; 43:e12948. [PMID: 31368548 DOI: 10.1111/jfbc.12948] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/30/2019] [Accepted: 05/28/2019] [Indexed: 12/18/2022]
Abstract
To improve the utility of walnut meal protein, influences of ultrasonication on the kinetic and thermodynamic constraints of enzyme (trypsin) hydrolysis were assessed using a multi-frequency counter current S-type ultrasound machine. Results revealed that both the ultrasonication treatment and control hydrolysis obeyed the first-order kinetics within the study constraints. After 90 min hydrolysis time, the uppermost percentage conversion rate (57.5%) of substrate to product and the percentage increase (25.42%) in hydrolyzed protein concentration were obtained at 323 K and 10% substrate concentration, respectively. The Michaelis constant (KM ) in ultrasonic enzymolysis declined by 58.66% over the control. The reaction rate coefficient (k) for the proteolysis improved by 84.75%, 52.43%, 48.25%, and 37.79% at 219, 303, 313, and 323 K, correspondingly. Generally, the bond energy (Ea ), enthalpy change (ΔH), entropy change (ΔS), and Gibbs free energy (ΔG) were reduced by the ultrasound pretreatment with 36.61%, 28.05%, 18.22%, and 5.24%, respectively. PRACTICAL APPLICATIONS: Walnut meal protein has a well-balanced amino acid profile and its economic utilization could be increased practicably as a food ingredient via production of hydrolysates/peptides for the production of improved food ingredients instead of being cast off as animal feed. This study demonstrated a positive bearing of ultrasonication-assisted alkaline pretreatment on proteolytic reaction characteristics and its energy efficiency for walnut meal protein, which makes this technique applicable to the enhancement of plant proteins for inclusion in food products, especially tree nut and oil seed waste products from the oil industry.
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Affiliation(s)
- Moses Kwaku Golly
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China.,Faculty of Applied Sciences and Technology, Sunyani Technical University, P. O. Box 206, Sunyani, Ghana
| | - Haile Ma
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China.,Key Laboratory for Physical Processing of Agricultural Products, Jiangsu University, Zhenjiang, China
| | - Duan Yuqing
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China
| | - Ping Wu
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China
| | - Mokhtar Dabbour
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China.,Faculty of Agriculture, Department of Agricultural and Biosystems Engineering, Benha University, Benha, Egypt
| | - Frederick Sarpong
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013, People's Republic of China
| | - Muhammad Farooq
- College of Food Science and Engineering, Northwest A&F University, Yangling, China
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