Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil
Sweeping frequency ultrasound (SFU) was used to assist extraction of amur grape (Vitis amurensis) seed (AGS) oil. Extraction conditions and physicochemical properties were optimized and analyzed under different extraction methods. Meanwhile, frequency and time domains were online monitored during SF...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Ultrasonics Sonochemistry |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1350417723003334 |
| _version_ | 1797671465692168192 |
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| author | Lei Zhang Ao Zhang Shanshan Zhou Qianqian Wang Wen Wang Haile Ma Cunshan Zhou |
| author_facet | Lei Zhang Ao Zhang Shanshan Zhou Qianqian Wang Wen Wang Haile Ma Cunshan Zhou |
| author_sort | Lei Zhang |
| collection | DOAJ |
| description | Sweeping frequency ultrasound (SFU) was used to assist extraction of amur grape (Vitis amurensis) seed (AGS) oil. Extraction conditions and physicochemical properties were optimized and analyzed under different extraction methods. Meanwhile, frequency and time domains were online monitored during SFU assisted extraction of AGS oil. PVDF piezoelectric sensor was used in time domain, and the hydrophone in frequency domain, so as to obtain the time–voltage waveform, signal power, spectrum distribution and other visual models. Physical models of the spatial peak acoustic intensity, charge quantity and work done by electric field force under different ultrasonic conditions were derived. The mathematical model between the work done by electric field force and the spatial peak acoustic intensity under the working state of PVDF piezoelectric sensor was constructed. Results show that the content of AGS oil by SFU assisted extraction was higher than that by organic extraction. Furthermore, the optimal single-frequency was 40 kHz and dual-frequency was 28/33 kHz, and SFU extraction time of 30 min was suitable with higher oil yield of 16.70 % and 16.94 %, respectively. In addition, the selection and combination of SFU also affected the oil oxidation degree. The peak voltage, spatial peak acoustic intensity, signal power and work of electric field force at 28/33 kHz were all higher than those at 40 kHz. |
| first_indexed | 2024-03-11T21:14:55Z |
| format | Article |
| id | doaj.art-68bce19a2e1448cc89a23370b37026ff |
| institution | Directory Open Access Journal |
| issn | 1350-4177 |
| language | English |
| last_indexed | 2024-03-11T21:14:55Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ultrasonics Sonochemistry |
| spelling | doaj.art-68bce19a2e1448cc89a23370b37026ff2023-09-29T04:43:55ZengElsevierUltrasonics Sonochemistry1350-41772023-11-01100106621Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oilLei Zhang0Ao Zhang1Shanshan Zhou2Qianqian Wang3Wen Wang4Haile Ma5Cunshan Zhou6School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; Institute of Food Physical Processing, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; Institute of Food Physical Processing, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; Institute of Food Physical Processing, Jiangsu University, Zhenjiang 212013, China; Corresponding author at: School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Road, Jingkou District, Zhenjiang, Jiangsu 212013, PR China.Sweeping frequency ultrasound (SFU) was used to assist extraction of amur grape (Vitis amurensis) seed (AGS) oil. Extraction conditions and physicochemical properties were optimized and analyzed under different extraction methods. Meanwhile, frequency and time domains were online monitored during SFU assisted extraction of AGS oil. PVDF piezoelectric sensor was used in time domain, and the hydrophone in frequency domain, so as to obtain the time–voltage waveform, signal power, spectrum distribution and other visual models. Physical models of the spatial peak acoustic intensity, charge quantity and work done by electric field force under different ultrasonic conditions were derived. The mathematical model between the work done by electric field force and the spatial peak acoustic intensity under the working state of PVDF piezoelectric sensor was constructed. Results show that the content of AGS oil by SFU assisted extraction was higher than that by organic extraction. Furthermore, the optimal single-frequency was 40 kHz and dual-frequency was 28/33 kHz, and SFU extraction time of 30 min was suitable with higher oil yield of 16.70 % and 16.94 %, respectively. In addition, the selection and combination of SFU also affected the oil oxidation degree. The peak voltage, spatial peak acoustic intensity, signal power and work of electric field force at 28/33 kHz were all higher than those at 40 kHz.http://www.sciencedirect.com/science/article/pii/S1350417723003334Sweeping frequency ultrasoundAmur grape seed oilOnline monitoringPhysical model |
| spellingShingle | Lei Zhang Ao Zhang Shanshan Zhou Qianqian Wang Wen Wang Haile Ma Cunshan Zhou Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil Ultrasonics Sonochemistry Sweeping frequency ultrasound Amur grape seed oil Online monitoring Physical model |
| title | Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil |
| title_full | Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil |
| title_fullStr | Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil |
| title_full_unstemmed | Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil |
| title_short | Real-time online monitoring technology for sweeping frequency ultrasound (SFU) assisted extraction of amur grape (Vitis amurensis) seed oil |
| title_sort | real time online monitoring technology for sweeping frequency ultrasound sfu assisted extraction of amur grape vitis amurensis seed oil |
| topic | Sweeping frequency ultrasound Amur grape seed oil Online monitoring Physical model |
| url | http://www.sciencedirect.com/science/article/pii/S1350417723003334 |
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