Food and Bioproducts Processing最新文献

英文中文

Intelligent control of ginger far-infrared radiation and hot-air drying based on multi-sensor fusion technology

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.009

Yongsheng Pei , Lin Fan , Changzhi Wang , Guizhong Tian , Xiangyi Meng , Zhenfeng Li , Wanxiu Xu

In this study, a far infrared radiation and hot-air drying (FIR-HAD) system with multi-sensor detection was developed. Flavor and image information of ginger slices were online monitored with a PEN3 electronic nose and computer vision throughout the whole drying process, respectively. Firstly, ginger slices were dried at four constant temperatures. The response signals of the W1W and W2W sensors (the two most responsive sensors in PEN3 electronic nose system), as well as ΔE (color difference), BI/BI₀ (browning index of dried samples/ browning index of fresh samples), were determined to reflect flavor and color changes based on results from the multi-sensor results. The effects of various constant drying temperatures on the main chemical properties of ginger slices were also examined. The results indicate that the dried samples subjected to FIR-HAD at 60 °C had the highest content of 6-gingerol and 8-gingerol compared to other constant drying temperature. In addition, the antioxidant activity and total flavonoid content were also maintained at satisfactory levels under this condition. Then, a fuzzy logic control (FLC) strategy was developed to continuously adjust the output power for optimizing the FIR-HAD process. To determine fuzzy input parameters, the correlation analysis between the online detection signals and the main chemical properties was conducted based on the moisture ratio of samples. The FLC strategy was developed in two stages based on the results of the correlation analysis, with various control rules applied at each stage. The organoleptic quality and chemical quality of dried samples using FLC drying were significantly improved compared to the constant temperature drying. In addition, the FLC drying strategy achieved the highest gray relational degree value, a metric used to evaluate the overall performance of various drying strategies based on multiple indicators, in the assessment of drying time, color properties, and main qualities. This indicates that combining the FLC strategy with multi-sensor detection technology provides an advantageous optimal treatment for FIR-HAD.

{"title":"Intelligent control of ginger far-infrared radiation and hot-air drying based on multi-sensor fusion technology","authors":"Yongsheng Pei , Lin Fan , Changzhi Wang , Guizhong Tian , Xiangyi Meng , Zhenfeng Li , Wanxiu Xu","doi":"10.1016/j.fbp.2024.12.009","DOIUrl":"10.1016/j.fbp.2024.12.009","url":null,"abstract":"<div><div>In this study, a far infrared radiation and hot-air drying (FIR-HAD) system with multi-sensor detection was developed. Flavor and image information of ginger slices were online monitored with a PEN3 electronic nose and computer vision throughout the whole drying process, respectively. Firstly, ginger slices were dried at four constant temperatures. The response signals of the W1W and W2W sensors (the two most responsive sensors in PEN3 electronic nose system), as well as Δ<em>E</em> (color difference), <em>BI/BI</em><sub><em>0</em></sub> (browning index of dried samples/ browning index of fresh samples), were determined to reflect flavor and color changes based on results from the multi-sensor results. The effects of various constant drying temperatures on the main chemical properties of ginger slices were also examined. The results indicate that the dried samples subjected to FIR-HAD at 60 °C had the highest content of 6-gingerol and 8-gingerol compared to other constant drying temperature. In addition, the antioxidant activity and total flavonoid content were also maintained at satisfactory levels under this condition. Then, a fuzzy logic control (FLC) strategy was developed to continuously adjust the output power for optimizing the FIR-HAD process. To determine fuzzy input parameters, the correlation analysis between the online detection signals and the main chemical properties was conducted based on the moisture ratio of samples. The FLC strategy was developed in two stages based on the results of the correlation analysis, with various control rules applied at each stage. The organoleptic quality and chemical quality of dried samples using FLC drying were significantly improved compared to the constant temperature drying. In addition, the FLC drying strategy achieved the highest gray relational degree value, a metric used to evaluate the overall performance of various drying strategies based on multiple indicators, in the assessment of drying time, color properties, and main qualities. This indicates that combining the FLC strategy with multi-sensor detection technology provides an advantageous optimal treatment for FIR-HAD.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 415-427"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095949","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}

引用次数: 0

Recovery of health-promoting phenolic compounds from clove basil (Ocimum gratissimum L.) by aqueous extraction and ultrafiltration

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.005

Kristopher Rodrigues Dorneles, Amanda Carmelo da Rocha, Vicelma Luiz Cardoso, Miria Hespanhol Miranda Reis

Clove basil, a medicinal plant found in tropical areas, presents significant phytochemicals with high antioxidant capacity. In this study, we investigated the extraction kinetics of phenolic compounds from clove basil leaves, followed by the concentration and purification of the extract by ultrafiltration. The extraction profile followed the pseudo-second-order kinetic model and the maximum total phenolic content (TPC) of 320.29 ± 1.82 mg of gallic acid equivalents (GAE) per g of dried extract (mg_GAE g⁻¹) was achieved after 120 min of aqueous extraction at 75 °C and solid: liquid ratio of 1:100. The DPPH assay revealed an antioxidant capacity of 2493.54 ± 77.61 µmol of Trolox equivalent (TE) per g of dried extract (µmol _TE g⁻¹) for the clove basil extract. The aqueous extract presented concentrations of 22.18 ± 0.16 and 5.96 ± 0.34 mg g⁻¹ for rosmarinic and chlorogenic acids, respectively, and significant quantities of other phenolic acids. Ultrafiltration through a 10 kDa polymeric membrane was efficient in producing a clear permeate stream by reducing 64.82 ± 7.77 % of total solids and 84.01 ± 1.13 % of turbidity. The membrane filtration retained 76.80 ± 0.59 % of polyphenol compounds and 52.52 ± 0.04 % of rosmarinic acid. Thus, the ultrafiltration process is an appropriate alternative for recovering and concentrating bioactive molecules from clove basil leaf extract.

{"title":"Recovery of health-promoting phenolic compounds from clove basil (Ocimum gratissimum L.) by aqueous extraction and ultrafiltration","authors":"Kristopher Rodrigues Dorneles, Amanda Carmelo da Rocha, Vicelma Luiz Cardoso, Miria Hespanhol Miranda Reis","doi":"10.1016/j.fbp.2024.12.005","DOIUrl":"10.1016/j.fbp.2024.12.005","url":null,"abstract":"<div><div>Clove basil, a medicinal plant found in tropical areas, presents significant phytochemicals with high antioxidant capacity. In this study, we investigated the extraction kinetics of phenolic compounds from clove basil leaves, followed by the concentration and purification of the extract by ultrafiltration. The extraction profile followed the pseudo-second-order kinetic model and the maximum total phenolic content (TPC) of 320.29 ± 1.82 mg of gallic acid equivalents (GAE) per g of dried extract (mg<sub>GAE</sub> g<sup>−1</sup>) was achieved after 120 min of aqueous extraction at 75 °C and solid: liquid ratio of 1:100. The DPPH assay revealed an antioxidant capacity of 2493.54 ± 77.61 µmol of Trolox equivalent (TE) per g of dried extract (µmol <sub>TE</sub> g<sup>−1</sup>) for the clove basil extract. The aqueous extract presented concentrations of 22.18 ± 0.16 and 5.96 ± 0.34 mg g<sup>−1</sup> for rosmarinic and chlorogenic acids, respectively, and significant quantities of other phenolic acids. Ultrafiltration through a 10 kDa polymeric membrane was efficient in producing a clear permeate stream by reducing 64.82 ± 7.77 % of total solids and 84.01 ± 1.13 % of turbidity. The membrane filtration retained 76.80 ± 0.59 % of polyphenol compounds and 52.52 ± 0.04 % of rosmarinic acid. Thus, the ultrafiltration process is an appropriate alternative for recovering and concentrating bioactive molecules from clove basil leaf extract.</div></div>","PeriodicalId":12134,"journal":{"name":"Food and Bioproducts Processing","volume":"149 ","pages":"Pages 392-400"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095947","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}

引用次数: 0

Levulinic acid-based deep eutectic solvent and n-heptane for efficient oil extraction process from rubber seed

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.003

Mohammed Abobakr Al-Maari , Hanee F. Hizaddin , Adeeb Hayyan , Khalid M. Abed , Wan Jefrey Basirun , Yousef Mohammed Alanazi , Jehad Saleh , Mohd Ali Hashim , Bhaskar Sen Gupta

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.

{"title":"Levulinic acid-based deep eutectic solvent and n-heptane for efficient oil extraction process from rubber seed","authors":"Mohammed Abobakr Al-Maari , Hanee F. Hizaddin , Adeeb Hayyan , Khalid M. Abed , Wan Jefrey Basirun , Yousef Mohammed Alanazi , Jehad Saleh , Mohd Ali Hashim , 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}

引用次数: 0

Multi-scale convolution and dynamic task interaction detection head for efficient lightweight plum detection

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.007

Jiachun Wu , Jinlai Zhang , Jihong Zhu , Yijian Duan , Youyang Fang , Jingyu Zhu , Lairong Yin , Jiahui Jiang , Zhiyong He , Yi Huang , Yanmei Meng

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.

{"title":"Multi-scale convolution and dynamic task interaction detection head for efficient lightweight plum detection","authors":"Jiachun Wu , Jinlai Zhang , Jihong Zhu , Yijian Duan , Youyang Fang , Jingyu Zhu , Lairong Yin , Jiahui Jiang , Zhiyong He , Yi Huang , 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}

引用次数: 0

High-efficiency and eco-friendly extraction of brown algal polyphenols using an optimized alcohol-salt aqueous two-phase system

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.011

Hongyu Gan , Yiruo Wang , Qifeng Wei , Xiulian Ren

This study presents the development and optimization of an alcohol-salt aqueous two-phase system to extract and purify brown algal polyphenols from Laminaria japonica 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.

{"title":"High-efficiency and eco-friendly extraction of brown algal polyphenols using an optimized alcohol-salt aqueous two-phase system","authors":"Hongyu Gan , Yiruo Wang , Qifeng Wei , 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}

引用次数: 0

Improve the energy efficiency of the fruit freeze-drying through the predictive analysis

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.11.028

Oznur Oztuna Taner , Andaç Batur Çolak

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.

{"title":"Improve the energy efficiency of the fruit freeze-drying through the predictive analysis","authors":"Oznur Oztuna Taner , 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}

引用次数: 0

Solubility and solution thermodynamics of nortriptyline hydrochloride in organic solvents: Experiment and correlation

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2025-01-01 DOI: 10.1016/j.fbp.2024.12.008

Tatyana V. Volkova, Olga R. Simonova, Artem O. Surov, German L. Perlovich

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>n-PrOH≥n-BuOH>DMF>n-OctOH≥i-PrOH>THF>Ace>MEK>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.

{"title":"Solubility and solution thermodynamics of nortriptyline hydrochloride in organic solvents: Experiment and correlation","authors":"Tatyana V. Volkova, Olga R. Simonova, Artem O. Surov, 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>n-PrOH≥n-BuOH>DMF>n-OctOH≥i-PrOH>THF>Ace>MEK>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}

引用次数: 0

Characterization of pickering emulsions stabilized by nano dietary fiber from Lentinula edodes stipes

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2024-12-29 DOI: 10.1016/j.fbp.2024.12.019

Xiaolan Shang , Haoning Wang , Xingyi Wang , Yulin Wang , Moyun Lv

Waste Lentinula edodes (L. edodes) stipes from L. edodes 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.

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引用次数: 0

Techno-economic analysis of poly(3-hydroxybutyrate) production using Cobetia amphilecti from celery waste

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2024-12-28 DOI: 10.1016/j.fbp.2024.12.018

Rima Gnaim , Razan Unis , Nabeel Gnayem , Michael Gozin , Jallal Gnaim , Alexander Golberg

A process for manufacturing poly(3-hydroxybutyrate) (PHB) using Cobetia amphilecti 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.

引用次数: 0

Efficient preparation of sophorose from fermentation broth via a newly developed integrated separation process

IF 3.5 2区农林科学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Food and Bioproducts Processing

Pub Date : 2024-12-28 DOI: 10.1016/j.fbp.2024.12.020

Lu Ren , Yang Hu , Yefei Wu , Mengqian Zhao , Qianqian Ma , Yulu Du , Jianwei Lu , Xuwei Long

Sophorose is a rare and valuable disaccharide with an unusual β-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 Candida bombicola 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.

引用次数: 0

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