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001-es BibID:	BIBFORM118989
035-os BibID:	(Cikkazonosító)102
Első szerző:	Bhagat, Vipal
Cím:	Economic analysis of potential of citrus and walnut fruits by artificial neural network / Vipal Bhagat, Sudhakar Dwivedi, Rafeeya Shams, Kshirod K. Dash, G. V. S. BhagyaRaj, Béla Kovács, Shaikh Ayaz Mukarram
Dátum:	2024
ISSN:	3004-9261
Megjegyzések:	South Asian countries have a wealth of opportunities to use the rainfed lands to the farmers' advantage with the largest amount of rainfed land. The economic circumstances of the farmers operating in these areas are appalling due to the inefficient use of these lands. The work reported in this paper was carried out in the Jammu, Kathua, and Udhampur districts of the Jammu division. Two horticultural crops, viz., citrus and walnuts, were discovered to be cultivated in the chosen sample location. The influence of several elements to the financial potential of these horticultural crops was investigated using production functional analysis and marginal value productivity (MVP). The use of artificial neural networks (ANNs) further assisted this. According to a production functional analysis, the main variables in the districts of Udhampur and Kathua are machine labour and fertilisers, followed by human labour and fertilisers in the Jammu district. However, sensitivity analysis revealed the importance of manure, fertilisers, and manpower. In the rainfed por-tions of Jammu division, manpower combined with fertilisers is often thought of as the key determining factor for the profitability of horticulture crops like citrus and walnut. The absence of better varieties was identified via Garett ranking as the main restriction, followed by a lack of knowledge and expensive inputs, respectively
Tárgyszavak:	Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Rainfed region Production function analysis Marginal value productivity Artificial neural network Sensitivity analysis
Megjelenés:	Discover Applied Sciences. - 6 : (2024), p. 1-16. -
További szerzők:	Dwivedi, Sudhakar Shams, Rafeeya Dash, Kshirod Kumar BhagyaRaj, GVS Kovács Béla (1963-) (okleveles vegyész, angol szakfordító) Shaikh, Ayaz Mukarram (1991-) (PhD candidate)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM119051
035-os BibID:	(Cikkazonosító)104
Első szerző:	Dar, Ishfaq Hamid
Cím:	Optimization of ultrasound-assisted extraction of Nigella sativa seed oil for enhancement of yield and antioxidant activity / Ishfaq Hamid Dar, Pir Mohammad Junaid, Saghir Ahmad, Rafeeya Shams, Kshirod Kumar Dash, Ayaz Mukarram Shaikh, Kovács Béla
Dátum:	2024
ISSN:	3004-9261
Megjegyzések:	The seeds of Nigella sativa have been shown to contain a number of constituents that have nutritional and therapeutic characteristics. The oil extracted from the seeds of Nigella sativa has been traditionally used in food systems with reference to its medicinal properties. The diferent bioactive compounds present in the Nigella sativa seed oil consist of polyphenols which ofer a fair amount of antioxidant activity to the oil. Most of these bioactive compounds are generally heat sensitive and prone to oxidation. During the processing and storage, there is loss of antioxidant activity of the oil and the associated bioactivity. This occurs primarily due to the efects of temperature and other environmental factors during processing and storage. Under this background, this study was undertaken with the aim of extracting the Nigella sativa seed oil in order to ensure the improved retention of antioxidant and bioactive characteristics in the essential oil. The extraction of Nigella sativa seed oil was carried out using ultrasound-assisted extraction technique using hexane as solvent. The process was optimized using response surface methodology in order to enhance the yield and antioxidant activity of the extracted Nigella sativa seed oil. The efect of diferent processing parameters was evaluated on the yield and antioxidant activity. The process variables included the extraction temperature, extraction time and solvent concentration. It was observed that all the factors had signifcant efect on the yield and antioxidant activity of the extracted Nigella sativa oil. The optimized conditions for maximizing the yield and antioxidant activity obtained were a solvent concentration of 42.82 mL/5 g of sample, the extraction temperature of 69.09 °C and extraction time of 86.60 min, which were validated and found close to the experiment values. Under this set of conditions, the yield was maximized to 34.53% with enhanced antioxidant activity, having IC50 value of 203.56 ?g/mL.
Tárgyszavak:	Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Antioxidant activity Extraction Nigella sativa Novel techniques Valorization
Megjelenés:	Discover Applied Sciences. - 6 : (2024), p. 1-15. -
További szerzők:	Junaid, Pir Mohammad Ahmad, Saghir Shams, Rafeeya Dash, Kshirod Kumar Shaikh, Ayaz Mukarram (1991-) (PhD candidate) Kovács Béla (1963-) (okleveles vegyész, angol szakfordító)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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