[1] J.X. Wong, S. Ramli, R. Son, A review: characteristics and prevalence of psychrotolerant food spoilage bacteria in chill-stored meat, milk and fish, Food Res 7 (2023) 23–32. https://doi.org/10.26656/FR.2017.7(1).694.
[2] D. Mandal, T. Sarkar, R. Chakraborty, Critical Review on Nutritional, Bioactive, and Medicinal Potential of Spices and Herbs and Their Application in Food Fortification and Nanotechnology, Appl Biochem Biotechnol 195 (2023) 1319–1513. https://doi.org/10.1007/S12010-022-04132-Y.
[3] S. Nida, J.A. Moses, C. Anandharamakrishnan, Isochoric Freezing and Its Emerging Applications in Food Preservation, Food Engineering Reviews 13 (2021) 812–821. https://doi.org/10.1007/S12393-021-09284-X.
[4] J. V. García-Pérez, J.A. Carcel, A. Mulet, E. Riera, R.R. Andrés, J.A. Gallego-Juárez, Ultrasonic drying for food preservation, Power Ultrasonics: Applications of High-Intensity Ultrasound, Second Edition (2023) 743–771. https://doi.org/10.1016/B978-0-12-820254-8.00027-0.
[5] A. Veremachi, B.C. Cuamba, O.J. Nydal, J. Lovseth, A. Zia, Direct illuminated rock-bed heat storage a potential component of a solar thermal system for food preservation and space heating in rural areas of Mozambique, ISES Solar World Congress 2015, Conference Proceedings (2015) 1518–1526. https://doi.org/10.18086/SWC.2015.02.13.
[6] N. Segueni, N. Boutaghane, S.T. Asma, N. Tas, U. Acaroz, D. Arslan-Acaroz, S.R.A. Shah, H.A. Abdellatieff, S. Akkal, R. Peñalver, G. Nieto, Review on Propolis Applications in Food Preservation and Active Packaging, Plants 12 (2023). https://doi.org/10.3390/PLANTS12081654.
[7] C. Barry-Ryan, Physical and chemical methods for food preservation using natural antimicrobials, Handbook of Natural Antimicrobials for Food Safety and Quality (2015) 211–228. https://doi.org/10.1016/B978-1-78242-034-7.00010-4.
[8] A. Sridhar, M. Ponnuchamy, P.S. Kumar, A. Kapoor, Food preservation techniques and nanotechnology for increased shelf life of fruits, vegetables, beverages and spices: a review, Environ Chem Lett 19 (2021) 1715–1735. https://doi.org/10.1007/S10311-020-01126-2.
[9] H. Bagheri, S. Abbaszadeh, Effect of Cold Plasma on Quality Retention of Fresh-Cut Produce, J Food Qual 2020 (2020). https://doi.org/10.1155/2020/8866369.
[10] J. de A. Bezerra, C.V. Lamarão, E.A. Sanches, S. Rodrigues, F.A.N. Fernandes, G.L.P.A. Ramos, E.A. Esmerino, A.G. Cruz, P.H. Campelo, Cold plasma as a pre-treatment for processing improvement in food: A review, Food Research International 167 (2023). https://doi.org/10.1016/J.FOODRES.2023.112663.
[11] J.E. Kim, I.H. Kim, S.C. Min, Microbial decontamination of vegetables and spices using cold plasma treatments, Korean Journal of Food Science and Technology 45 (2013) 735–741. https://doi.org/10.9721/KJFST.2013.45.6.735.
[12] S. Saremnezhad, M. Soltani, A. Faraji, A.A. Hayaloglu, Chemical changes of food constituents during cold plasma processing: A review, Food Research International 147 (2021) 110552. https://doi.org/10.1016/J.FOODRES.2021.110552.
[13] M. Khoshkharam, M.H. Shahrajabian, R.B. Singh, W. Sun, A. Magadlela, M. Khatibi, Q. Cheng, Sumac: a functional food and herbal remedy in traditional herbal medicine in the Asia, Functional Foods and Nutraceuticals in Metabolic and Non-Communicable Diseases (2021) 261–266. https://doi.org/10.1016/B978-0-12-819815-5.00018-5.
[14] M.M. Ahmadian-Attari, G. Amin, M.R. Fazeli, H. Jamalifar, A review on antimicrobial activities of sumac fruit (Rhus coriaria L.), Journal of Medicinal Plants 7 (2008).
[15] M. Akbari-Fakhrabadi, J. Heshmati, M. Sepidarkish, F. Shidfar, Effect of sumac (Rhus Coriaria) on blood lipids: A systematic review and meta-analysis, Complement Ther Med 40 (2018) 8–12. https://doi.org/10.1016/J.CTIM.2018.07.001.
[16] G. Gollu, G.P. Gunaydın, A. Cakmak, A.M. Cakmak, Traditional nanny circumcision and dressing with sumac, onion and oil: A case report and review of the literature, Journal of Experimental and Clinical Medicine (Turkey) 36 (2019) 87–90. https://doi.org/10.5835/JECM.OMU.36.03.004.
[17] A. Ghafouri, M.D. Estêvão, P. Alibakhshi, A.B. Pizarro, A.F. Kashani, E. Persad, H. Heydari, M. Hasani, J. Heshmati, M. Morvaridzadeh, Sumac fruit supplementation improve glycemic parameters in patients with metabolic syndrome and related disorders: A systematic review and meta-analysis, Phytomedicine 90 (2021). https://doi.org/10.1016/J.PHYMED.2021.153661.
[18] İ. Kılınçer, L. Khanyile, K. Gürcan, Population structure of sumac (Rhus coriaria L.) from Türkiye based on transcriptome-developed SSR marker, Genet Resour Crop Evol 70 (2023) 1197–1213. https://doi.org/10.1007/S10722-022-01497-1.
[19] M.M. Hassan, K. Saifullah, Sustainable dyeing and functionalization of jute fabric with a Chinese sumac gall-derived gallotannin using eco-friendly mordanting agents, Cellulose 28 (2021) 5055–5070. https://doi.org/10.1007/S10570-021-03805-X.
[20] M. Mohit, M. Nouri, M. Samadi, Y. Nouri, N. Heidarzadeh-Esfahani, K. Venkatakrishnan, C. Jalili, The effect of sumac (Rhus coriaria L.) supplementation on glycemic indices: A systematic review and meta-analysis of controlled clinical trials, Complement Ther Med 61 (2021). https://doi.org/10.1016/J.CTIM.2021.102766.
[21] K. Sakhr, S. El Khatib, Physiochemical properties and medicinal, nutritional and industrial applications of Lebanese Sumac (Syrian Sumac - Rhus coriaria): A review, Heliyon 6 (2020). https://doi.org/10.1016/J.HELIYON.2020.E03207.
[22] S. Kumar, S. Pipliya, P.P. Srivastav, Effect of cold plasma processing on physicochemical and nutritional quality attributes of kiwifruit juice, J Food Sci 88 (2023) 1533–1552. https://doi.org/10.1111/1750-3841.16494.
[23] Y. Zhou, J. Li, Z. Li, Q. Ma, L. Wang, Extraction of anthocyanins from haskap using cold plasma-assisted enzyme, J Sci Food Agric 103 (2023) 2186–2195. https://doi.org/10.1002/JSFA.12349.
[24] S. Jaddu, S. Abdullah, M. Dwivedi, R.C. Pradhan, Multipin cold plasma electric discharge on hydration properties of kodo millet flour: Modelling and optimization using response surface methodology and artificial neural network – Genetic algorithm, Food Chemistry: Molecular Sciences 5 (2022). https://doi.org/10.1016/J.FOCHMS.2022.100132.
[25] B. Paknezhad, M. Vakili, M. Bozorgi, M. Hajialibabaie, M. Yahyaei, A hybrid genetic–BP algorithm approach for thermal conductivity modeling of nanofluid containing silver nanoparticles coated with PVP, J Therm Anal Calorim (2020). https://doi.org/10.1007/s10973-020-09989-x.
[26] M. Yahyaei, M. Vakili, B. Paknezhad, Artificial brain structure-based modeling to predict the photo-thermal conversion performance of graphene nanoplatelets nanofluid using experimental data, J Therm Anal Calorim (2020). https://doi.org/10.1007/s10973-020-10198-9.
[27] S. Riahi, E. Abedini, M. Vakili, M. Riahi, Providing an accurate global model for monthly solar radiation forecasting using artificial intelligence based on air quality index and meteorological data of different cities worldwide, Environmental Science and Pollution Research (2021) 1–28. https://doi.org/10.1007/s11356-021-14126-8.
[28] L.A. Espinosa Sandoval, A.M. Polanía Rivera, L. Castañeda Florez, A. García Figueroa, Application of artificial neural networks (ANN) for predicting the effect of processing on the digestibility of foods, Food Structure Engineering and Design for Improved Nutrition, Health and Well-Being (2022) 333–361. https://doi.org/10.1016/B978-0-323-85513-6.00011-6.
[29] D. Wang, M. Zhang, C.L. Law, L. Zhang, Natural deep eutectic solvents for the extraction of lentinan from shiitake mushroom: COSMO-RS screening and ANN-GA optimizing conditions, Food Chem 430 (2024). https://doi.org/10.1016/J.FOODCHEM.2023.136990.
[30] K. Chen, M. Zhang, D. Wang, A.S. Mujumdar, D. Deng, Development of quinoa (Chenopodium quinoa Willd) protein isolate-gum Arabic conjugates via ultrasound-assisted wet heating for spice essential oils emulsification: Effects on water solubility, bioactivity, and sensory stimulation, Food Chem 431 (2024). https://doi.org/10.1016/J.FOODCHEM.2023.137001.
[31] Y. Ma, Y. Leng, D. Huo, D. Zhao, J. Zheng, P. Zhao, H. Yang, F. Li, C. Hou, A portable sensor for glucose detection in Huangshui based on blossom-shaped bimetallic organic framework loaded with silver nanoparticles combined with machine learning, Food Chem 429 (2023). https://doi.org/10.1016/J.FOODCHEM.2023.136850.
[32] Z. Lu, J. Qin, C. Wu, J. Yin, M. Sun, G. Su, X. Wang, Y. Wang, J. Ye, T. Liu, H. Rao, L. Feng, Dual-channel MIRECL portable devices with impedance effect coupled smartphone and machine learning system for tyramine identification and quantification, Food Chem 429 (2023). https://doi.org/10.1016/J.FOODCHEM.2023.136920.
[33] Y. Cui, W. Lu, J. Xue, L. Ge, X. Yin, S. Jian, H. Li, B. Zhu, Z. Dai, Q. Shen, Machine learning-guided REIMS pattern recognition of non-dairy cream, milk fat cream and whipping cream for fraudulence identification, Food Chem 429 (2023). https://doi.org/10.1016/J.FOODCHEM.2023.136986.
[34] L. Wang, X. Li, H. Zhu, Y. Zhao, Influencing factors of livestream selling of fresh food based on a push-pull model: A two-stage approach combining structural equation modeling (SEM) and artificial neural network (ANN), Expert Syst Appl 212 (2023). https://doi.org/10.1016/J.ESWA.2022.118799.
[35] Research on the design of green and low-carbon food packaging based on artificial intelligence technology, Global NEST Journal (2023). https://doi.org/10.30955/GNJ.004705.
[36] ISO 948:1980 - Spices and condiments — Sampling, (n.d.). https://www.iso.org/standard/5369.html (accessed July 18, 2023).
[37] ISO 6887-1:2017 - Microbiology of the food chain — Preparation of test samples, initial suspension and decimal dilutions for microbiological examination — Part 1: General rules for the preparation of the initial suspension and decimal dilutions, (n.d.). https://www.iso.org/standard/63335.html (accessed July 18, 2023).
[38] ISO 7251:2005 - Microbiology of food and animal feeding stuffs — Horizontal method for the detection and enumeration of presumptive Escherichia coli — Most probable number technique, (n.d.). https://www.iso.org/standard/34568.html (accessed July 18, 2023).
[39] ISO 7932:2004/Amd 1:2020 - Microbiology of food and animal feeding stuffs — Horizontal method for the enumeration of presumptive Bacillus cereus — Colony-count technique at 30 degrees C — Amendment 1: Inclusion of optional tests, (n.d.). https://www.iso.org/standard/76664.html (accessed July 18, 2023).
[40] ISO 21527-2:2008 - Microbiology of food and animal feeding stuffs — Horizontal method for the enumeration of yeasts and moulds — Part 2: Colony count technique in products with water activity less than or equal to 0,95, (n.d.). https://www.iso.org/standard/38276.html (accessed July 18, 2023).
[41] G.S. Mittal, Artificial neural network based process modeling, Handbook of Farm, Dairy and Food Machinery Engineering (2019) 525–531. https://doi.org/10.1016/B978-0-12-814803-7.00021-X.
[42] F. (Francesco) Ventriglia, Neural modeling and neural networks, Pergamon Press, 1994. http://www.sciencedirect.com:5070/book/9780080422770/neural-modeling-and-neural-networks (accessed July 8, 2023).
[43] Artificial Neural Networks, (1992). https://doi.org/10.1016/C2009-0-09010-2.
[44] Neural Networks Modeling and Control, Neural Networks Modeling and Control (2020). https://doi.org/10.1016/C2018-0-01454-1.
[45] S. Mirjalili, Evolutionary Algorithms and Neural Networks, 780 (2019). https://doi.org/10.1007/978-3-319-93025-1.
[46] M. Vakili, M. Yahyaei, J. Ramsay, P. Aghajannezhad, B. Paknezhad, Adaptive neuro-fuzzy inference system modeling to predict the performance of graphene nanoplatelets nanofluid-based direct absorption solar collector based on experimental study, Renew Energy 163 (2021) 807–824.
https://doi.org/10.1016/j.renene.2020.08.134.