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H.J. Shi
H.J. Shi
College of Fujian Chuanzheng Communications, Fuzhou, Fujian, 350007 , China
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X.B. Li
cau2002@163.com
https://orcid.org/0009-0001-2263-3568
X.B. Li
College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002 , China
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Z.M. Yan
Z.M. Yan
College of Food Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002 , China
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Abstract
Radio frequency (RF) heating of agri-food, especially low moisture viscous sauces (LMVS), have obvious advantages. However, uneven heating is one main problem of RF heating technology that has to be solved. Due to the unclear heating mechanism and the difficulty to measure the three-dimensional temperature distribution in the heated object, computer-aided analysis method was adopted. Based on the RF heating numerical calculation model after experimental verification and the characteristics of polyetherimide (PEI) assisted RF heating of peanut butter (PB), this study proposed an improved method for an existing protocol. Meanwhile, parameters of the new protocol were optimised by the Multi-objective Global Optimisation (MGO) of its surrogate model. Results demonstrated that the best size of PEI block in the new protocol was Φ100 × 9.5 mm and the positional height was 12 mm. When the pasteurisation temperature Tp was set to 70 °C and the control temperature Tc was set to 75 °C, the temperature uniformity evaluation indices, Over-shoot Temperature Control Index (OTCI) and Targeted Penetration Depth (TPD), were 0.920% and 3.975 mm, respectively. Compared with 4.845% and 4.940 mm before improvement, the new protocol achieved significant optimisation and improved the temperature uniformity effectively. This also proved the feasibility of MGO method of surrogate model in relevant studies.
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Ballom, K., Dhowlaghar, N., Tsai, H.C., Yang, R., and Zhu, M.J. (2021). Radiofrequency pasteurization against Salmonella and Listeria monocytogenes in cocoa powder. LWT – Food Science and Technology, 145(10): 111490.
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Jiao, Y., Shi, H., Tang, J., Li, F., and Wang, S. (2015). Improvement of radio frequency (RF) heating uniformity on low moisture foods with polyetherimide (PEI) blocks. Food Research International, 74(8): 106–114.
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Liao, M., Damayanti, W., Xu, Y., Zhao, Y., and Jiao, S. (2020). Hot air-assisted radio frequency heating for stabilization of rice bran: enzyme activity, phenolic content, antioxidant activity and microstructure. LWT – Food Science and Technology, 131: 109754.
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Scott, V.N., Chen, Y., Freier, T.A., Kuehm, J., Moorman, M., Meyer, J., Morille-Hinds, T., Post, L., Smoot, L., Hood, S., Shebuski, J., and Banks, J. (2009). Control of Salmonella in low-moisture foods. I. Minimizing entry of Salmonella into a processing facility. Food Protection Trends, 29(6): 342–353.
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Shi, H., Chen, H., and Yan, Z. (2021). Analysis on the effect of polyetherimide on energy distribution of radio frequency heating of viscous sauce. International Journal of Food Engineering, 17(8): 655–664.
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Shi, H., Jiao, Y., Tang, J., Zhang, S., and Kuang, P. (2016). Heating uniformity evaluation and improvement of radio frequency treated prepackaged food. Transactions of the American Society of Agricultural Engineers, 59(5): 1441–1450.
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Zhang, S., Ramaswamy, H.S., and Wang, S. (2019). Computer simulation modelling, evaluation and optimisation of radio frequency (RF) heating uniformity for peanut pasteurisation process. Biosystems Engineering, 184: 101–110.
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Acta Alimentaria
E-mail: Acta.Alimentaria@uni-mate.hu
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| 2022 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
892 |
| Journal Impact Factor | 1.1 |
| Rank by Impact Factor |
Food Science and Technology (Q4) |
| Impact Factor without Journal Self Cites |
1.1 |
| 5 Year Impact Factor |
1 |
| Journal Citation Indicator | 0.22 |
| Rank by Journal Citation Indicator |
Food Science and Technology (Q4) |
| Scimago | |
| Scimago H-index |
32 |
| Scimago Journal Rank |
0.231 |
| Scimago Quartile Score |
Food Science (Q3) |
| Scopus | |
| Scopus Cite Score |
1.7 |
| Scopus CIte Score Rank |
Food Science 225/359 (37th PCTL) |
| Scopus SNIP |
0.408 |
| 2021 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
856 |
| Journal Impact Factor | 1,000 |
| Rank by Impact Factor | Food Science & Technology 130/143 Nutrition & Dietetics 81/90 |
| Impact Factor without Journal Self Cites |
0,941 |
| 5 Year Impact Factor |
1,039 |
| Journal Citation Indicator | 0,19 |
| Rank by Journal Citation Indicator | Food Science & Technology 143/164 Nutrition & Dietetics 92/109 |
| Scimago | |
| Scimago H-index |
30 |
| Scimago Journal Rank |
0,235 |
| Scimago Quartile Score |
Food Science (Q3) |
| Scopus | |
| Scopus Cite Score |
1,4 |
| Scopus CIte Score Rank |
Food Sciences 222/338 (Q3) |
| Scopus SNIP |
0,387 |
|
2020
|
|
|
Total Cites
|
768
|
|
WoS
|
|
|
Journal
Impact Factor |
0,650
|
|
Rank by
|
Nutrition & Dietetics 79/89 (Q4)
|
|
Impact Factor
|
Food Science & Technology 130/144 (Q4)
|
|
Impact Factor
|
0,575
|
|
without
|
|
|
Journal Self Cites
|
|
|
5 Year
|
0,899
|
|
Impact Factor
|
|
|
Journal
|
0,17
|
|
Citation Indicator
|
|
|
Rank by Journal
|
Nutrition & Dietetics 88/103 (Q4)
|
|
Citation Indicator
|
Food Science & Technology 142/160 (Q4)
|
|
Citable
|
59
|
|
Items
|
|
|
Total
|
58
|
|
Articles
|
|
|
Total
|
1
|
|
Reviews
|
|
|
Scimago
|
28
|
|
H-index
|
|
|
Scimago
|
0,237
|
|
Journal Rank
|
|
|
Scimago
|
Food Science Q3
|
|
Quartile Score
|
|
|
Scopus
|
248/238=1,0
|
|
Scite Score
|
|
|
Scopus
|
Food Science 216/310 (Q3)
|
|
Scite Score Rank
|
|
|
Scopus
|
0,349
|
|
SNIP
|
|
|
Days from
|
100
|
|
submission
|
|
|
to acceptance
|
|
|
Days from
|
143
|
|
acceptance
|
|
|
to publication
|
|
|
Acceptance
|
16%
|
| Rate |
| 2019 | |
|---|---|
| Total Cites WoS |
522 |
| Impact Factor | 0,458 |
| Impact Factor without Journal Self Cites |
0,433 |
| 5 Year Impact Factor |
0,503 |
| Immediacy Index |
0,100 |
| Citable Items |
60 |
| Total Articles |
59 |
| Total Reviews |
1 |
| Cited Half-Life |
7,8 |
| Citing Half-Life |
9,8 |
| Eigenfactor Score |
0,00034 |
| Article Influence Score |
0,077 |
| % Articles in Citable Items |
98,33 |
| Normalized Eigenfactor |
0,04267 |
| Average IF Percentile |
7,429 |
| Scimago H-index |
27 |
| Scimago Journal Rank |
0,212 |
| Scopus Scite Score |
220/247=0,9 |
| Scopus Scite Score Rank |
Food Science 215/299 (Q3) |
| Scopus SNIP |
0,275 |
| Acceptance Rate |
15% |
| Acta Alimentaria | |
|---|---|
| Publication Model | Hybrid |
| Submission Fee | none |
| Article Processing Charge | 1100 EUR/article |
| Printed Color Illustrations | 40 EUR (or 10 000 HUF) + VAT / piece |
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| Subscription fee 2023 | Online subsscription: 776 EUR / 944 USD Print + online subscription: 896 EUR / 1090 USD |
| Subscription Information | Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content. |
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| Acta Alimentaria | |
|---|---|
| Language | English |
| Size | B5 |
| Year of Foundation |
1972 |
| Volumes per Year |
1 |
| Issues per Year |
4 |
| Founder | Magyar Tudományos Akadémia  |
| Founder's Address |
H-1051 Budapest, Hungary, Széchenyi István tér 9. |
| Publisher | Akadémiai Kiadó |
| Publisher's Address |
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. |
| Responsible Publisher |
Chief Executive Officer, Akadémiai Kiadó |
| ISSN | 0139-3006 (Print) |
| ISSN | 1588-2535 (Online) |
Monthly Content Usage
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