Food and Bioproducts Processing最新文献

{"title":"Levulinic acid-based deep eutectic solvent and n-heptane for efficient oil extraction process from rubber seed","authors":"Mohammed Abobakr Al-Maari ,&nbsp;Hanee F. Hizaddin ,&nbsp;Adeeb Hayyan ,&nbsp;Khalid M. Abed ,&nbsp;Wan Jefrey Basirun ,&nbsp;Yousef Mohammed Alanazi ,&nbsp;Jehad Saleh ,&nbsp;Mohd Ali Hashim ,&nbsp;Bhaskar Sen Gupta","doi":"10.1016/j.fbp.2024.12.003","DOIUrl":"10.1016/j.fbp.2024.12.003","url":null,"abstract":"<div><div>Deep eutectic solvents (DESs) have attracted significant interest in chemical separation, particularly in the field of extraction processes. This study investigated the process of sono-energy-assisted oil extraction from rubber seeds using DESs as co-solvents in the presence of n-heptane and diethyl ether. Three DESs co-solvents were prepared from choline chloride (ChCl) as the hydrogen bond acceptor and glycerol (Gly), levulinic (LevA), and diethylene glycol (DEG) as the hydrogen bond donors. The kinetics and optimization of the operating parameters, including temperature, the mass ratio of seeds to organic solvent to DES, as well as extraction time, were examined. The highest yield of oil of 31.3 % was achieved using ChCl:LevA(1:2) and n-heptane at a temperature of 50°C, and a contact time of 60 min. The extraction temperature can be reduced using ChCl:LevA(1:2) in the presence of n-heptane compared to pure n-heptane, while the oil yield was enhanced by 3.3 %. Furthermore, a conductor-like screening model for a real solvent (COSMO-RS) was employed to elucidate the extraction mechanism where DESs could facilitate the disruption of the protective protein membranes surrounding the oil droplets. This is the first study for application of ChCl:LevA(1:2) as natural co-solvent for oil from rubber seeds and this co-solvent can contribute in energy saving required for oil extraction.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 368-377"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-scale convolution and dynamic task interaction detection head for efficient lightweight plum detection","authors":"Jiachun Wu ,&nbsp;Jinlai Zhang ,&nbsp;Jihong Zhu ,&nbsp;Yijian Duan ,&nbsp;Youyang Fang ,&nbsp;Jingyu Zhu ,&nbsp;Lairong Yin ,&nbsp;Jiahui Jiang ,&nbsp;Zhiyong He ,&nbsp;Yi Huang ,&nbsp;Yanmei Meng","doi":"10.1016/j.fbp.2024.12.007","DOIUrl":"10.1016/j.fbp.2024.12.007","url":null,"abstract":"<div><div>Automating fruit detection is crucial for boosting efficiency and ensuring high-quality produce. Plums, scientifically known as Prunus salicina, presents a unique challenge due to their soft texture, vulnerability to damage, and frequent instances of overlapping. These traits complicate manual inspection and present significant obstacles for automated systems. In addition, plum detection devices often face limitations in computing power and storage space, demanding high performance in terms of model lightweighting. To meet the requirements for detection performance and lightweighting in practical plum detection, we propose a novel, high-precision, lightweight plum detection model based on YOLOv8n, named Efficient Lightweight Plum Detector (ELPD). Our model introduces several innovations: we propose Potently Efficient Multi-Scale Convolution (PEMSConv) to enhance the model’s capability in extracting multi-scale features, improving detection accuracy while reducing model size. Additionally, we introduce Dynamic Task Interaction Detection Head (DTIDH) to enhance the interaction between classification and localization tasks, boosting detection performance while the use of shared convolution further reduces the model size and parameters. Moreover, we propose Focaler-Minimum Point Distance Intersection over Union (Focaler-MPDIoU), which enables the model to focus on the majority of samples in the dataset based on their difficulty, further enhancing detection performance. Focaler-MPDIoU also considers various geometric properties of bounding boxes, accelerating model convergence. Finally, we evaluate our model using a dataset from a plum orchard. In terms of detection performance, our model outperforms the baseline model with improvements of 2.03% in [email protected] and 1.02% in [email protected]:0.95. Regarding lightweight efficiency, our model achieves reductions of 32.53% in model size and 35.19% in parameters compared to the baseline.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 353-367"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-efficiency and eco-friendly extraction of brown algal polyphenols using an optimized alcohol-salt aqueous two-phase system","authors":"Hongyu Gan ,&nbsp;Yiruo Wang ,&nbsp;Qifeng Wei ,&nbsp;Xiulian Ren","doi":"10.1016/j.fbp.2024.12.011","DOIUrl":"10.1016/j.fbp.2024.12.011","url":null,"abstract":"<div><div>This study presents the development and optimization of an alcohol-salt aqueous two-phase system to extract and purify brown algal polyphenols from <em>Laminaria japonica</em> efficiently. A systematic investigation was conducted on the effects of various process parameters, including the type and concentration of alcohol and salt, temperature, and pH value, on extraction efficiency. Under optimal conditions, using 20 % ethanol and 22 % ammonium sulfate at 20 ℃ and a pH of 4, the extraction rate of polyphenols exceeded 80 % after three purification cycles, significantly enhancing antioxidant activity. Compared to traditional methods such as water-insoluble organic solvent liquid-liquid extraction and macroporous resin adsorption, the alcohol-salt aqueous two-phase system demonstrated superior performance, offering higher extraction efficiency and environmental sustainability. The recyclability of alcohol and salt further improved cost-effectiveness and reduced environmental impact. This study highlights the potential scalability and sustainability of the alcohol-salt aqueous two-phase system for producing high-purity natural antioxidants.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 378-391"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improve the energy efficiency of the fruit freeze-drying through the predictive analysis","authors":"Oznur Oztuna Taner ,&nbsp;Andaç Batur Çolak","doi":"10.1016/j.fbp.2024.11.028","DOIUrl":"10.1016/j.fbp.2024.11.028","url":null,"abstract":"<div><div>The considerable energy expenditure involved in the freeze-drying of foods justifies the development of innovative engineering techniques. Artificial intelligence will facilitate mass balance and energy efficiency in future food freeze-drying processes. This study assessed the energy and manufacturing efficiency of the freeze-drying facility through the application of artificial intelligence. Two distinct artificial neural network models were created utilizing real-time data from a factory located in an industrial zone that processed freeze-dried vegetables and kiwi fruit. Analyzing energy efficiency values and production was done using network models constructed from 20 experimental data sets. The Levenberg-Marquardt approach was employed to train neural networks with a multilayer perceptron architecture. The neural network models' prediction values were compared with the experimentally acquired data, and their performance was examined using several performance criteria. The evaluations carried out for 20 different scenarios revealed overall energy efficiency rates ranging from 25.8 % to 64.5 %. The considerable energy expenditure involved in the freeze-drying of foods justifies the development of innovative engineering techniques. Artificial intelligence will facilitate mass balance and energy efficiency in future food freeze-drying processes.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 261-271"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solubility and solution thermodynamics of nortriptyline hydrochloride in organic solvents: Experiment and correlation","authors":"Tatyana V. Volkova,&nbsp;Olga R. Simonova,&nbsp;Artem O. Surov,&nbsp;German L. Perlovich","doi":"10.1016/j.fbp.2024.12.008","DOIUrl":"10.1016/j.fbp.2024.12.008","url":null,"abstract":"<div><div>The present study is focused on the determination of the equilibrium solubility of nortriptyline hydrochloride (NTT) (Form II) in 10 pure solvents essential for chemical and pharmaceutical industry: ethanol (EtOH), n-propanol (n-PrOH), n-butanol (n-BuOH), isopropanol (i-PrOH), acetonitrile (ACN), dimethyl formamide (DMF), acetone (Ace), methyl ethyl ketone (MEK), tetrahydrofuran (THF), n-octanol (n-OctOH). The solvents were selected on the principles of their different molecular structures, polarities and properties in order to provide the information useful for drug crystallization and purification. The experiments were carried from 288.15 K to 318.15( ± 0.1) K at 5 K intervals by the gravimetric and spectrophotometric methods. The following sequence of the solvents according to the values of NTT solubility at a standard temperature of 298.15 K was revealed: EtOH&gt;n-PrOH≥n-BuOH&gt;DMF&gt;n-OctOH≥i-PrOH&gt;THF&gt;Ace&gt;MEK&gt;ACN. The influence of the solvent polarity on the solubility of NTT in comparison with the structurally similar drug amitryptiline hydrochloride from the literature sources was revealed. The results on the NTT experimental solubility were correlated by the thermodynamic models: van't Hoff equation, modified Apelblat equation, λh equation, two-suffix Margules model, Wilson model, and NRTL model. The apparent dissolution thermodynamic functions were calculated using the van’t Hoff equation. The mixing thermodynamic parameters were disclosed and discussed in relation to the driving forces of the processes.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 294-304"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of pickering emulsions stabilized by nano dietary fiber from Lentinula edodes stipes","authors":"Xiaolan Shang ,&nbsp;Haoning Wang ,&nbsp;Xingyi Wang ,&nbsp;Yulin Wang ,&nbsp;Moyun Lv","doi":"10.1016/j.fbp.2024.12.019","DOIUrl":"10.1016/j.fbp.2024.12.019","url":null,"abstract":"<div><div>Waste <em>Lentinula edodes</em> (<em>L</em>. <em>edodes</em>) stipes from <em>L</em>. <em>edodes</em> were utilized as raw materials to obtain dietary fibers through a purification process. Following a 24-h cellulase hydrolysis, dietary fibers were subjected to cell disruption with varying durations. Differences in the monosaccharides composition, microscopic structure, size, zeta potential, contact angle, crystallinity, and functional groups of the nano dietary fiber produced through combined cellulase hydrolysis and cell disruption were analyzed in comparison to those obtained through cell disruption alone. Results indicated that the spacing between the nano dietary fibers was increased, and their particle size was reduced by cellulase hydrolysis followed by cell disruption. The wettability of the nano dietary fiber was enhanced by enzymatic treatment, whereas it was reduced by cell disruption. Either treatment did not compromise the crystalline regions of the nano dietary fiber; rather, the crystallinity was increased. Additionally, to emulsify corn germ oil, the prepared nano dietary fiber was employed, resulting in Pickering emulsion formation. A 45-min optimal cell disruption duration produced emulsions with a more uniform dispersion and the smallest particle size. Improved oil droplet encapsulation was exhibited by the emulsions prepared from dietary fiber that underwent cellulase hydrolysis followed by cell disruption, thereby leading to a decrease in free fatty acid release. The stability mechanism of the EEU_24–30 emulsion was attributed not only to the adsorption of the nano dietary fiber onto the oil droplets but also to the formation of a three-dimensional network structure that further enhanced the emulsion stability.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"150 ","pages":"Pages 35-43"},"PeriodicalIF":3.5,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic analysis of poly(3-hydroxybutyrate) production using Cobetia amphilecti from celery waste","authors":"Rima Gnaim ,&nbsp;Razan Unis ,&nbsp;Nabeel Gnayem ,&nbsp;Michael Gozin ,&nbsp;Jallal Gnaim ,&nbsp;Alexander Golberg","doi":"10.1016/j.fbp.2024.12.018","DOIUrl":"10.1016/j.fbp.2024.12.018","url":null,"abstract":"<div><div>A process for manufacturing poly(3-hydroxybutyrate) (PHB) using <em>Cobetia amphilecti</em> from celery waste was modeled and analyzed, focusing on the technical and economic aspects. The process produced 1871 tonnes/year of PHB from 4397 tonnes/year of mannitol extracted from 52,350 tonnes/year of celery waste. The economic analysis revealed a capital investment of 19.3 million US$, emphasizing equipment costs as a significant portion of the total expenses. The PHB production process has a positive net present value of 2.3 million US$, a 15.7 % return on investment, a payback period of 6.4 years, and an 8.9 % internal rate of return. Profitability analysis indicated a favorable scenario with a total revenue of 10.3 million US$, an actual minimum selling price of 5.5 US$/kg, and the lowest achievable production cost of 4.6 US$/kg. Sensitivity analysis underscored the influence of celery waste pricing, solid loading, and an extractant price for PHB pricing and economic viability.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"150 ","pages":"Pages 98-106"},"PeriodicalIF":3.5,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient preparation of sophorose from fermentation broth via a newly developed integrated separation process","authors":"Lu Ren ,&nbsp;Yang Hu ,&nbsp;Yefei Wu ,&nbsp;Mengqian Zhao ,&nbsp;Qianqian Ma ,&nbsp;Yulu Du ,&nbsp;Jianwei Lu ,&nbsp;Xuwei Long","doi":"10.1016/j.fbp.2024.12.020","DOIUrl":"10.1016/j.fbp.2024.12.020","url":null,"abstract":"<div><div>Sophorose is a rare and valuable disaccharide with an unusual <em>β</em>-1,2 bond. Despite the relatively widespread interest in sophorose, the information regarding sophorose is limited because sophorose is not readily accessible. Thus, we used <em>Candida bombicola</em> ATCC 22214 for the efficient fermentative production of sophorose using glucose and soybean oil as substrates. In addition, an integrated separation process comprising precipitation, extraction, electrodialysis, and column chromatography was developed to purify the sophorose. Sophorose (approximately 36 g/L) was produced under optimized fermentation conditions in terms of the feeding strategy and enhanced mass-transfer efficiency. Thereafter, approximately 38 % of sophorose (purity above 99 %) was recovered from fermentation broth through the proposed process. This study provides an efficient approach for the large-scale preparation of sophorose, which is helpful for its practical application and in-depth research.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"150 ","pages":"Pages 44-52"},"PeriodicalIF":3.5,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of RSM and ANN-GA based modeling for protein extraction from cotton seed meal: Effect of extraction parameters on amino acid profile and nutritional characteristics","authors":"Kavita Ware ,&nbsp;Piyush Kashyap ,&nbsp;Pratik Madhukar Gorde ,&nbsp;Rahul Yadav ,&nbsp;Vipasha Sharma","doi":"10.1016/j.fbp.2024.12.016","DOIUrl":"10.1016/j.fbp.2024.12.016","url":null,"abstract":"<div><div>Cottonseed meal (CSM), a residual biomass and valuable by-product, serves as a sustainable protein source, yielding approximately 10 million metric tons globally, enough to meet the annual protein requirements of over half a billion people. In this context, the study aimed to optimize protein extraction from CSM using response surface methodologies (RSM) and artificial neural networks with genetic algorithms (ANN-GA), while also examining its amino nutritional characteristics. The independent variables, pH (8.5–10.5), temperature (25–45 °C), solvent-solid ratio (10–30 mL/g) and time (1–3 h) were designed to optimize the responses protein yield and purity. Various statistical measures were computed to evaluate the errors and coefficients of determination for the projected models. The ANN model shows better results in forecasting protein production and purity, demonstrating superior accuracy and precision. The average mean percentage error (MPE) of the ANN model was lower for protein yield and purity as 0.673 % and 0.182 % compared to RSM 2.56 % and 0.685 % respectively. Under optimal conditions, ANN achieved higher protein yield and purity (28.03 %, 88.69 %) compared to RSM (23.24 %, 87.17 %). The CSM protein isolate contained all essential amino acids with high biological value (70.33) and essential amino acid score (75.26), indicating high-quality protein. This study offers significant insights into effective modeling approaches for protein extraction, highlights utility of ANN-GA in predictive assessments, and underscores the potential of agricultural waste as a cost-effective substrate for high-quality protein supplements in food products.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"150 ","pages":"Pages 63-77"},"PeriodicalIF":3.5,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drying of orange juice waste in a mechanically stirred spouted bed","authors":"Guilherme Henrique Alves Pinto ,&nbsp;Xabier Sukunza ,&nbsp;Martin Olazar ,&nbsp;José Teixeira Freire ,&nbsp;Fábio Bentes Freire","doi":"10.1016/j.fbp.2024.12.017","DOIUrl":"10.1016/j.fbp.2024.12.017","url":null,"abstract":"<div><div>Orange juice waste is an agro-industrial bio-waste produced on large-scale, which may be transformed into a source of raw material through drying. Drying of orange juice solid residue was carried out in a mechanically stirred spouted bed equipped with four sets of equally spaced blades placed around the stirrer shaft. The experiments were conducted at temperatures between 40 and 80°C with air flow rates of 1–5 times the minimum spouting velocity. Mechanical agitation has proven to increase the movement of solids, especially in areas close to the internal wall. The pseudo-fluidized regime allowed improving both bed uniformity and process stability. The drying energy demand was 12.6–23.4 % of that of the conventional bed. During much of the drying time of the solid orange juice residue, the air was saturated at the exit due to the low air flow rates used in the process.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"150 ","pages":"Pages 89-97"},"PeriodicalIF":3.5,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}