Microwave processing is one of the novel food processing technologies that use electromagnetic radiation in the wavelength and frequency between 1 mm to 1 m and 300 MHz to 300 GHz, respectively. In this review, principles and various applications of microwave technology for food processing are addressed. A systematic literature search was conducted by using, Google Scholar and, Web of Science, Open access theses and dissertations on the principles and application of microwave processing of food were summarized. Additionally, references of each selected publication were examined to get more relevant articles. In microwave processing, the food material absorbs microwave energy directly, and internally, and converts it to heat. The technology is applicable for different unit operations in food industries such as cooking, heating, drying, pasteurization, sterilization, thawing, tempering, baking, blanching, and the extraction of important food biomaterials. Microwave processing is highly advantageous over conventional food processing techniques, in terms of retaining the nutritional content of the food and reducing processing time. Consequently, the breakthrough of the technology in food processing industry has been predicted before. However, the potential of microwave technology is not widely exhausted in Africa. It is associated with a lack of awareness, a priority setting on the application of emerging technologies for safe and high quality value added products; moreover, its high initial investment and operational power cost may become a bottleneck for food processing companies in Africa. Therefore, food innovation centres in Africa should drive high performance standards from technology adoption to improve the application of microwave technology in food industries.
微波加工是一种新型食品加工技术,其使用波长和频率分别在1毫米至1米和300兆赫至300千兆赫之间的电磁辐射。本文综述了微波技术在食品加工中的原理和各种应用。利用Google Scholar和Web of Science进行了系统的文献检索,总结了关于微波食品加工原理和应用的开放获取论文。此外,还对每一份选定出版物的参考文献进行了审查,以获得更多相关文章。在微波加工中,食物材料直接从内部吸收微波能量,并将其转化为热量。该技术适用于食品行业的不同单元操作,如烹饪、加热、干燥、巴氏杀菌、杀菌、解冻、回火、烘焙、漂白和重要食品生物材料的提取。在保持食品的营养含量和减少加工时间方面,微波加工比传统的食品加工技术具有很大的优势。因此,该技术在食品加工行业的突破性进展早有预测。然而,微波技术的潜力在非洲并没有被广泛耗尽。这与缺乏意识有关,即对应用新兴技术生产安全和高质量增值产品缺乏优先考虑;此外,其高昂的初始投资和运营电力成本可能成为非洲食品加工公司的瓶颈。因此,非洲的食品创新中心应推动采用高性能标准的技术,以改进微波技术在食品工业中的应用。
{"title":"Microwave Processing of Food and Biological Materials","authors":"Markos Makiso Urugo, Shimelis Admassu Emire, Tadele Tuba Tringo","doi":"10.17508/cjfst.2021.13.2.09","DOIUrl":"https://doi.org/10.17508/cjfst.2021.13.2.09","url":null,"abstract":"Microwave processing is one of the novel food processing technologies that \u0000use electromagnetic radiation in the wavelength and frequency between 1 mm \u0000to 1 m and 300 MHz to 300 GHz, respectively. In this review, principles and \u0000various applications of microwave technology for food processing are \u0000addressed. A systematic literature search was conducted by using, Google \u0000Scholar and, Web of Science, Open access theses and dissertations on the \u0000principles and application of microwave processing of food were summarized. \u0000Additionally, references of each selected publication were examined to get \u0000more relevant articles. In microwave processing, the food material absorbs \u0000microwave energy directly, and internally, and converts it to heat. The \u0000technology is applicable for different unit operations in food industries such as \u0000cooking, heating, drying, pasteurization, sterilization, thawing, tempering, \u0000baking, blanching, and the extraction of important food biomaterials. \u0000Microwave processing is highly advantageous over conventional food \u0000processing techniques, in terms of retaining the nutritional content of the food \u0000and reducing processing time. Consequently, the breakthrough of the \u0000technology in food processing industry has been predicted before. However, \u0000the potential of microwave technology is not widely exhausted in Africa. It is \u0000associated with a lack of awareness, a priority setting on the application of \u0000emerging technologies for safe and high quality value added products; \u0000moreover, its high initial investment and operational power cost may become \u0000a bottleneck for food processing companies in Africa. Therefore, food \u0000innovation centres in Africa should drive high performance standards from \u0000technology adoption to improve the application of microwave technology in \u0000food industries.","PeriodicalId":10771,"journal":{"name":"Croatian journal of food science and technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49249390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.17508/cjfst.2021.13.2.07
K. Alabi, A. Olaniyan, M. O. Sunmonu
Modelling and optimization represent an important aspect of drying in food processing, providing a fast and convenient means for quality prediction. The research focuses on modelling and optimization of process parameters such as drying rate, water loss, solid gain, vitamin C, manganese, and iron of dried osmo-pretreated onion slices. Least square regression analysis in the Math-lab computer software was used to model and optimise the process parameters., Six (6) mathematical models were developed for each output from the regression analysis that was carried out. The criteria for adjudging these models were the values of their adjusted coefficient of multiple determinations, prediction error sum of squares (also called deleted residual), R2 for prediction, coefficient of variation CV, and the Dubin-Watson test for autocorrelation. The models were checked for adequacy using these criteria, and those found to be adequate were selected from among the other possible combinations. Hence, the best-optimized obtained results from the models are 27.50 g/h, 1.61 g/g, 0.15 g/g, 77.52 mg/100 g, 2.79 mg/1000 g, and 2.19 mg/1000 g for drying rate, water loss, solid gain, vitamin C, manganese, and iron, respectively.
{"title":"Modelling and optimization of the drying process and the quality parameters of dried osmo-pretreated onions (Allium cepa)","authors":"K. Alabi, A. Olaniyan, M. O. Sunmonu","doi":"10.17508/cjfst.2021.13.2.07","DOIUrl":"https://doi.org/10.17508/cjfst.2021.13.2.07","url":null,"abstract":"Modelling and optimization represent an important aspect of drying in food \u0000processing, providing a fast and convenient means for quality prediction. The \u0000research focuses on modelling and optimization of process parameters such as \u0000drying rate, water loss, solid gain, vitamin C, manganese, and iron of dried \u0000osmo-pretreated onion slices. Least square regression analysis in the Math-lab \u0000computer software was used to model and optimise the process parameters., \u0000Six (6) mathematical models were developed for each output from the \u0000regression analysis that was carried out. The criteria for adjudging these models \u0000were the values of their adjusted coefficient of multiple determinations, \u0000prediction error sum of squares (also called deleted residual), R2 for prediction, \u0000coefficient of variation CV, and the Dubin-Watson test for autocorrelation. The \u0000models were checked for adequacy using these criteria, and those found to be \u0000adequate were selected from among the other possible combinations. Hence, \u0000the best-optimized obtained results from the models are 27.50 g/h, 1.61 g/g, \u00000.15 g/g, 77.52 mg/100 g, 2.79 mg/1000 g, and 2.19 mg/1000 g for drying rate, \u0000water loss, solid gain, vitamin C, manganese, and iron, respectively.","PeriodicalId":10771,"journal":{"name":"Croatian journal of food science and technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49342408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.17508/cjfst.2021.13.2.02
Oluwatomilola Bolaji, Damilola Bamidele, A. Adeboye, A. Tanimola
The growing world population with increasingly demanding consumers has led to considering insects as part of are normal diet since they are good sources of proteins, and could therefore potentially contribute to global food security. This study produced Oryctes rhinoceros L. larvae powder and investigated the impact of preparation and processing methods (degutted; roasted and dried) on some quality parameters of O. rhinoceros larvae powder. Each batch was prepared with and without their gut respectively. Physico-chemical analyses were determined on the powder, while sensory evaluation was carried out on the whole O. rhinoceros larvae using standard procedures. Moisture content of the powders ranged from 3.57 - 5.66%, protein content (51.60 - 62.65%), fat (8.71 – 12.67%), ash (3.97 - 10.25%), fibre (15.57 - 19.52%) and carbohydrate (0.12 - 6.56%). The results of functional properties revealed a range of 2.64 – 2.98 mg/g for water absorption capacity, oil absorption capacity of 2.43- 2.70 mg/g and bulk density of 0.48 – 0.51 g/mL. Processing (roasting and oven drying) had no significant effect on the sensory and physico-chemical properties of whole O. rhinoceros larvae and O. rhinoceros larvae powder, while the removal of the gut significantly contributed to the improvement of the quality and sensory appeal of O. rhinoceros larvae.
{"title":"Influence of Preparation and Processing Methods on the Physico-chemical Properties \u0000of Oryctes rhinoceros Larvae","authors":"Oluwatomilola Bolaji, Damilola Bamidele, A. Adeboye, A. Tanimola","doi":"10.17508/cjfst.2021.13.2.02","DOIUrl":"https://doi.org/10.17508/cjfst.2021.13.2.02","url":null,"abstract":"The growing world population with increasingly demanding consumers has led \u0000to considering insects as part of are normal diet since they are good sources of \u0000proteins, and could therefore potentially contribute to global food security. This \u0000study produced Oryctes rhinoceros L. larvae powder and investigated the \u0000impact of preparation and processing methods (degutted; roasted and dried) on \u0000some quality parameters of O. rhinoceros larvae powder. Each batch was \u0000prepared with and without their gut respectively. Physico-chemical analyses \u0000were determined on the powder, while sensory evaluation was carried out on \u0000the whole O. rhinoceros larvae using standard procedures. Moisture content of \u0000the powders ranged from 3.57 - 5.66%, protein content (51.60 - 62.65%), fat \u0000(8.71 – 12.67%), ash (3.97 - 10.25%), fibre (15.57 - 19.52%) and carbohydrate \u0000(0.12 - 6.56%). The results of functional properties revealed a range of 2.64 – \u00002.98 mg/g for water absorption capacity, oil absorption capacity of 2.43- 2.70 \u0000mg/g and bulk density of 0.48 – 0.51 g/mL. Processing (roasting and oven \u0000drying) had no significant effect on the sensory and physico-chemical \u0000properties of whole O. rhinoceros larvae and O. rhinoceros larvae powder, \u0000while the removal of the gut significantly contributed to the improvement of \u0000the quality and sensory appeal of O. rhinoceros larvae.","PeriodicalId":10771,"journal":{"name":"Croatian journal of food science and technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47412437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}