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Valorization of underutilized amla (Emblica officinalis) pomace: An artificial neural network-based approach for drying kinetics and quality assessment 未充分利用amla (Emblica officinalis)渣的价值评估:基于人工神经网络的干燥动力学和质量评估方法
Pub Date : 2026-02-04 DOI: 10.1016/j.foodp.2026.100085
Sumaiya Fatima, Vivek Kumar
Amla pomace, a by-product of juice processing, is abundant in phytochemicals and fiber but remains largely unutilized. Because it contains more moisture, drying is necessary to prevent microbial spoilage, improve stability, and increase shelf life, making it suitable for use in value-added foods and nutraceutical products. The drying behaviour of amla pomace dried in a computer-controlled tray drier at different drying temperatures, DT (50, 60, and 70°C) and air velocities, AV (0.9, 1.0, and 1.1 m/s) was therefore explored. Drying of amla pomace was observed to follow falling rate period pattern over the DT and AV range. Five thin-layer drying models were evaluated for amla pomace, and the Page model showed the best fit with the highest R² and lowest χ² and RMSE values. An ANN model with a 3–3–4–1 topology predicted the drying behaviour of amla pomace with greater accuracy than the page model. Furthermore, the effective moisture diffusivity (Deff) and activation energy (Ea) were estimated using linearization and DA-nlinfit methods, with latter method predicted both Deff and Ea at lower RMSE and higher R2 values. Also, the mass transfer coefficient and Gibbs free energy increased with increasing DT, while enthalpy followed converse trend, as determined by the DA-nlinfit method. Further, rise in DT adversely affected the phytochemical attributes and colour quality of pomace powder, although AV helps in retention of all these quality attributes of amla pomace powder. Nonetheless, phenolic content, total flavonoid content and DPPH assay was found to be maximum at 60°C and 1.1 m/s, while colour attributes and ascorbic acid content was most preserved at 50°C and 1.1 m/s. Additionally, microstructural analysis confirmed that higher DT lagged behind in preserving the cellular matrix of pomace.
木莓果渣是果汁加工的副产品,富含植物化学物质和纤维,但大部分未被利用。由于它含有较多的水分,因此必须进行干燥,以防止微生物变质,提高稳定性,延长保质期,使其适合用于增值食品和营养保健品。因此,研究了在计算机控制的托盘干燥器中,在不同的干燥温度DT(50、60和70°C)和风速AV(0.9、1.0和1.1 m/s)下,amla渣的干燥行为。在DT和AV范围内,观察到木莓果渣的干燥遵循下降速率周期模式。结果表明,Page模型具有最高的R²、最低的χ²和RMSE值。基于3-3-3 - 1 - 1拓扑结构的人工神经网络模型比页面模型更准确地预测了amla渣的干燥行为。此外,利用线性化和DA-nlinfit方法估计了有效水分扩散系数(Deff)和活化能(Ea),后者方法在较低RMSE和较高R2值下均能预测Deff和Ea。传质系数和吉布斯自由能随DT的增大而增大,而焓随DT的增大而增大。此外,尽管AV有助于保留amla果渣粉的所有这些品质属性,但DT的增加对果渣粉的植物化学属性和颜色质量产生不利影响。尽管如此,在60℃和1.1 m/s下,酚类含量、总黄酮含量和DPPH含量最高,而在50℃和1.1 m/s下,颜色属性和抗坏血酸含量保持得最好。此外,显微结构分析证实,较高的DT在保存渣的细胞基质方面滞后。
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引用次数: 0
Kepok banana TSS and firmness estimation based on RGB reflectance–fluorescence imaging and partial least squares regression 基于RGB反射-荧光成像和偏最小二乘回归的Kepok香蕉TSS和硬度估计
Pub Date : 2026-02-03 DOI: 10.1016/j.foodp.2026.100084
Fathinia Kamila , Sandra Malin Sutan , La Choviya Hawa , Rini Yulianingsih , Dewi Maya Maharani , Elya Mufidah , Rosnah Shamsudin , Dimas Firmanda Al Riza
This study presents a concise and improved approach for estimating the ripeness parameters of Kepok bananas (Musa balbisiana BBB) using a Partial Least Squares Regression (PLSR) method. The proposed technique integrates RGB reflectance and fluorescence maging to obtain comprehensive color and texture information for objective fruit maturity estimation, specifically to determine the optimum harvest maturity. Comparative models were developed using individual and combined image datasets to evaluate their performance in predicting Total Soluble Solids (TSS) and firmness, two key indicators of banana maturity. Results revealed that fluorescence and combined RGB reflectance–fluorescence imaging yielded the highest accuracy, with R²training = 0.9231, R²test = 0.9256 for firmness and R²training = 0.8623, R²test = 0.8908 for TSS. The optimal PLSR models utilized 12 and 9 selected features, respectively, achieving RMSE values of 0.3341 (firmness) and 2.0829 (TSS). These outcomes confirm that integrating RGB reflectance–fluorescence imaging with PLSR modeling enhances the accuracy and reliability of non-destructive Kepok banana maturity assessment.
本文提出了一种基于偏最小二乘回归(PLSR)的Kepok香蕉(Musa balbisiana BBB)成熟参数估算方法。该技术将RGB反射和荧光成像相结合,获得全面的颜色和质地信息,用于客观估计果实成熟度,特别是确定最佳采收成熟度。利用单个和组合图像数据集建立了比较模型,以评估它们在预测香蕉成熟度的两个关键指标——总可溶性固形物(TSS)和硬度方面的性能。结果表明,荧光成像和RGB反射-荧光联合成像准确率最高,硬度R²training = 0.9231,R²test = 0.9256,TSS R²training = 0.8623,R²test = 0.8908。最优PLSR模型分别利用了12个和9个选定的特征,RMSE值分别为0.3341 (firmness)和2.0829 (TSS)。这些结果证实,将RGB反射-荧光成像与PLSR建模相结合可以提高Kepok香蕉无损成熟度评估的准确性和可靠性。
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引用次数: 0
Ultrasonic-assisted ethanol extraction of flavonoids from supercritical CO2 extracted propolis residues and its online UV-Vis monitoring 超声辅助乙醇提取超临界CO2提取蜂胶渣中黄酮类化合物及其在线紫外-可见监测
Pub Date : 2026-01-24 DOI: 10.1016/j.foodp.2026.100083
Lei Yi , Wuli Wang , Huimin Liu , Haile Ma , Yong Zhang , Yu Zhang
Secondary extraction of flavonoids from propolis residue following supercritical CO₂ extraction was investigated, with concurrent development of an on-line and real-time flavonoid quantification monitoring method. Ultrasonic-assisted ethanol extraction (UAE) parameters were optimized by single-factor experiments and response surface methodology (RSM), with comparative assessment against traditional extraction without ultrasound assistance. Under optimal UAE conditions, an offline quantitative detection model for the content of flavonoids was established firstly by ultraviolet-visible (UV-Vis) spectroscopy coupled with machine learning algorithms. Secondly, an online detection model was obtained by calibrating the offline model with direct standardization (DS) algorithm. The optimal extraction conditions were determined to be: ultrasonic frequency of 28 kHz, power density of 136 W/L, extraction time of 15 min, temperature of 43°C, solid-liquid ratio of 1:10 (g/mL), and ethanol concentration of 75 %. Under these optimized parameters, the extraction yield reached 9.41 mg/mL. Comparative analysis revealed that the ultrasonic method significantly outperformed both conventional extraction techniques, with low-speed agitation yielding 7.52 mg/mL and high-speed agitation yielding 8.26 mg/mL (p < 0.05). offline models, support vector regression (SVR) with normalized spectra and synergy interval partial least squares (Si-PLS) feature selection demonstrated superior performance (calibration: Rc=0.9914, RMSEC=0.3224; prediction: Rp=0.9926, RMSEP=0.3003)The statement "superior performance" refers specifically to the comparative results within this evaluation framework. The model built using Support Vector Regression (SVR) on normalized spectra with Synergy Interval Partial Least Squares (Si-PLS) for feature selection demonstrated superior predictive accuracy and robustness compared to the other modeling methods evaluated in the study, primarily Partial Least Squares (PLS) and Backpropagation Neural Network (BPNN). The DS-corrected online migration model achieved optimal real-time quantification (Rp=0.9660, RMSEP=0.7773). This study confirms UAE as an efficient low-temperature method for flavonoid recovery from propolis residue. Integration of offline UV-Vis modeling with DS spectral correction enables robust online flavonoid monitoring during extraction.
研究了超临界co2萃取蜂胶渣中黄酮类化合物的二次提取,同时建立了一种在线实时黄酮类化合物定量监测方法。通过单因素实验和响应面法优化超声辅助乙醇提取工艺参数,并与传统无超声辅助提取工艺进行对比评价。在最佳UAE条件下,采用紫外-可见(UV-Vis)光谱结合机器学习算法,首次建立了黄酮类化合物含量的离线定量检测模型。其次,采用直接标准化(DS)算法对离线模型进行标定,得到在线检测模型;确定最佳提取条件为:超声频率28 kHz,功率密度136 W/L,提取时间15 min,提取温度43℃,料液比1:10 (g/mL),乙醇浓度75 %。在此优化条件下,提取率可达9.41 mg/mL。对比分析表明,超声提取法的提取率显著优于常规提取法,低速搅拌提取率为7.52 mg/mL,高速搅拌提取率为8.26 mg/mL (p <; 0.05)。离线模型、归一化光谱支持向量回归(SVR)和协同区间偏最小二乘(Si-PLS)特征选择表现出优越的性能(校准:Rc=0.9914, RMSEC=0.3224;预测:Rp=0.9926, RMSEP=0.3003)。“优越的性能”是指在该评价框架内的比较结果。与研究中评估的其他建模方法(主要是偏最小二乘法(PLS)和反向传播神经网络(BPNN))相比,使用支持向量回归(SVR)在归一化光谱上建立的模型与协同区间偏最小二乘法(Si-PLS)进行特征选择,显示出更高的预测精度和鲁棒性。ds校正后的在线迁移模型实时定量效果最佳(Rp=0.9660, RMSEP=0.7773)。本研究证实了UAE法是从蜂胶渣中提取黄酮类化合物的有效低温法。将离线UV-Vis建模与DS光谱校正相结合,可以在提取过程中实现健壮的类黄酮在线监测。
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引用次数: 0
Potato starch as a next-generation biopolymer: Functionality, modification, sustainability, and industrial perspectives 马铃薯淀粉作为下一代生物聚合物:功能、改性、可持续性和工业前景
Pub Date : 2026-01-18 DOI: 10.1016/j.foodp.2026.100082
Mohammad Ubaid , Mukhtar Ahmed , Mohd Aaqib Sheikh , Tawseefa Jan , Imran Sheikh , Naseer Ahmed , Krishan Kumar , Arvind Kumar , Aseem Vashisht
The potato (Solanum tuberosum L.) is one of the most widely cultivated crops worldwide, and its starch has attracted growing interest as a renewable and biodegradable biopolymer for applications in food, packaging, pharmaceuticals, and emerging material systems. The functional behavior of potato starch is governed by intrinsic structural features, such as granule size, crystalline organization, and the amylose-to-amylopectin ratio, which collectively influence gelatinization, viscosity development, and retrogradation. Despite these favorable attributes, native potato starch shows limited resistance to heat, shear, and acidic conditions, which restricts its direct use in many industrial processes. This narrative review provides an integrated overview of potato starch functionality, major modification strategies, sustainability aspects, and industrial applications. Physical, chemical, and enzymatic modification methods are discussed in relation to their effects on starch structure and the resulting functional performance. Particular attention is given to emerging green modification approaches that seek to enhance functionality while reducing chemical use and energy demand. A comparative analysis highlights the differences in effectiveness, scalability, and industrial feasibility between conventional and alternative modification technologies. Sustainability considerations are examined through biodegradation behavior and life cycle perspectives, emphasizing the importance of balancing functional improvement with environmental performance. Industrial case studies demonstrate the application of modified potato starch in various food systems, thermoplastic materials, packaging, and other value-added products, where processing conditions and formulation choices significantly influence the outcome. Overall, this review highlights the structure-function relationships and practical considerations that support the continued development and industrial application of potato starch as a biopolymer.
马铃薯(Solanum tuberosum L.)是世界上种植最广泛的作物之一,其淀粉作为一种可再生和可生物降解的生物聚合物在食品、包装、制药和新兴材料系统中的应用引起了越来越多的兴趣。马铃薯淀粉的功能行为是由其固有的结构特征所决定的,如颗粒大小、晶体组织和直链淀粉与支链淀粉的比例,它们共同影响糊化、粘度发展和退化。尽管有这些有利的属性,原生马铃薯淀粉表现出有限的耐热性,剪切性和酸性条件,这限制了它在许多工业过程中的直接使用。本文综述了马铃薯淀粉功能、主要改性策略、可持续性方面和工业应用的综合概况。讨论了物理、化学和酶修饰方法对淀粉结构和功能性能的影响。特别注意正在出现的绿色改性方法,力求在减少化学品使用和能源需求的同时增强功能。对比分析强调了传统和替代改性技术在有效性、可扩展性和工业可行性方面的差异。通过生物降解行为和生命周期的角度来检查可持续性考虑,强调平衡功能改进与环境绩效的重要性。工业案例研究展示了改性马铃薯淀粉在各种食品系统、热塑性材料、包装和其他增值产品中的应用,其中加工条件和配方选择对结果有重大影响。总之,这篇综述强调了支持马铃薯淀粉作为生物聚合物继续发展和工业应用的结构-功能关系和实际考虑。
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引用次数: 0
A top-mounted mirror-based imaging system for rapid multi-view quality inspection of fruits 一种用于快速多视角水果质量检测的顶置反射成像系统
Pub Date : 2026-01-14 DOI: 10.1016/j.foodp.2026.100081
Nhut-Thanh Tran , Phuoc-Loc Nguyen , Chanh-Nghiem Nguyen
Computer vision is a powerful tool for external quality assessment of fruits, and rapid acquisition of surface images is essential for practical applications. In this study, we propose a rapid multi-view fruit surface imaging system that uses a single camera combined with a top-mounted mirror-based configuration. By properly arranging the mirrors, both the top and lateral surfaces of the object are reflected and captured within a single shot. The performance of the system was evaluated using spherical and cylindrical samples as well as real fruits, including pomelos and mangoes. Experimental results demonstrated that more than 80 % of the fruit surface, including the entire top region and most of the lateral surface, could be captured in a single image. Defects in challenging areas such as the equator, stem, and calyx were clearly visible. In contrast to existing solutions using multiple cameras or a single camera with rotating fruits, the proposed system reduces hardware costs and data volume while significantly increasing acquisition speed and overall efficiency. Moreover, positioning the mirrors above the fruit enables easy integration into conveyor-based automated inspection systems commonly used in industry. These findings highlight the strong potential of the proposed system for practical fruit inspection tasks such as volume estimation, shape analysis, color uniformity assessment, and surface defect detection.
计算机视觉是水果外部质量评价的有力工具,快速获取水果表面图像对实际应用至关重要。在这项研究中,我们提出了一种快速多视图水果表面成像系统,该系统使用单个相机结合顶部安装的反光镜配置。通过适当地布置镜子,物体的顶部和侧面都能在一次拍摄中被反射和捕捉到。使用球形和圆柱形样品以及柚子和芒果等真实水果来评估该系统的性能。实验结果表明,单幅图像可以捕获超过80% %的水果表面,包括整个顶部区域和大部分侧面。在具有挑战性的区域,如赤道、茎和花萼的缺陷是清晰可见的。与现有的使用多个摄像头或带有旋转果实的单个摄像头的解决方案相比,该系统降低了硬件成本和数据量,同时显著提高了采集速度和整体效率。此外,将镜子放置在水果上方,可以轻松集成到工业中常用的基于输送机的自动检测系统中。这些发现突出了该系统在实际水果检测任务中的强大潜力,如体积估计、形状分析、颜色均匀性评估和表面缺陷检测。
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引用次数: 0
Effects of extrusion temperature and frying techniques on the physical, textural and thermal properties of wheat-rice-sweet potato third-generation (3 G) snacks 挤压温度和油炸工艺对麦米甘薯第三代(3 G)小吃物理、质构和热性能的影响
Pub Date : 2026-01-10 DOI: 10.1016/j.foodp.2026.100080
Mayowa Saheed Sanusi , Mistura Oyindamola Abidogun , Elijah Ayilaran
The increasing demand for healthier snack options has driven the interest in utilizing nutrient-dense ingredients. This study investigates the development of third-generation (3 G) snacks from composite blends of wheat-rice-sweet potato flours in the ratio of 85:10:5. Two extrusion temperatures (60 °C and 80 °C) and two frying techniques (deep-fat and air frying) at 160 – 180 °C for varied times were evaluated based on the physical (expansion ratio, lightness, browning index, bulk density), textural (chewiness, cohesiveness, fracturability, hardness, springiness) and thermal (conductivity and diffusivity) properties of the 3 G snacks. Both extrusion temperature and frying techniques significantly affected the snack properties. The highest expansion ratio (2.66) was achieved at 60 ℃ extrusion temperature with 180 ℃ deep-fat frying temperature and 5 min frying time. Air-fried snacks showed higher lightness (49.00), lower browning index (71.81), increased bulk density (0.276 g/cm³), enhanced cohesiveness (2.01), and fracturability (118.67 N), with reduced springiness (1.13). Lower thermal conductivity (0.23 W/m·K) and thermal diffusivity (6.8 ×10⁻⁶ m²/s) were achieved under 80 °C extrusion temperature with either deep-fat frying at 160 °C for 10 min or air frying at 180 °C for 30 min. This study demonstrates the potential of wheat-rice-sweet potato blends in producing 3 G snacks with desirable physical, textural and thermal properties under appropriate conditions, aligning with consumer demand for innovative and convenient foods.
人们对健康零食的需求日益增长,这促使人们对利用营养丰富的成分产生了兴趣。本研究以85:10:5的小麦-大米-红薯粉复合混合物为原料,开发第三代(3 G)零食。根据3种 G零食的物理(膨胀率、轻度、褐变指数、堆积密度)、结构(咀嚼性、黏结性、断裂性、硬度、弹性)和热(导电性和扩散性)性能,评价了两种挤压温度(60℃和80℃)和两种油炸技术(深度油炸和空气油炸)在160 - 180℃的不同时间。挤压温度和油炸工艺对零食的性能有显著影响。挤压温度为60℃,油炸温度为180℃,油炸时间为5 min时,膨胀率最高,为2.66。空气油炸小吃具有较高的轻度(49.00)、较低的褐变指数(71.81)、较高的容重(0.276 g/cm³)、较强的粘结性(2.01)和可裂性(118.67 N),但弹性降低(1.13)。在80°C的挤压温度下,用160°C的深油炸10 分钟或180°C的空气油炸30 分钟,可以获得较低的导热系数(0.23 W/m·K)和热扩散系数(6.8 ×10⁻⁶m²/s)。本研究展示了小麦-大米-甘薯混合物在适当条件下生产具有理想物理、质地和热性能的3 G零食的潜力,符合消费者对创新和方便食品的需求。
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引用次数: 0
Comparative study of Solar tunnel and Indirect hybrid solar cabinet dryers on drying kinetics and quality of tree tomato (Solanum betaceum Cav.) powder 太阳能隧道式和间接混合式太阳能柜式干燥机对番茄粉干燥动力学和品质的比较研究
Pub Date : 2025-12-17 DOI: 10.1016/j.foodp.2025.100078
Isaac M. Maitha , Michael W. Okoth , Lucy G. Njue , Duncan O. Mbuge
Harnessing solar energy to transform food manufacturing process can reduce dependance on fossil fuels, which are costly and generate greenhouse gas emissions. The study evaluated the impact of indirect hybrid solar cabinet dryer (IHSCD) and solar tunnel (ST) dryer on the drying kinetics and quality characteristics of tree tomato powder. For both dryers, the Modified Page Model was the best among the models tested. The values of k and n for the IHSCD were 0.116 and 8.128 respectively while for the ST they were 0.146 and 4.022 respectively. There was no difference in the L*, a*, b*, C* and ΔE color values (p > 0.05) while the h* color value of the fruit powder was higher for the ST (30.33) than for the IHSCD (25.63) dryer. Significant difference (p < 0.001) was recorded on the water solubility % at 50 °C with higher value °f 98.53 for the ST dryer and 97.68 for the IHSCD dryer. There was no significant difference in the rehydration ratio, hygroscopicity and water solubility (at 25 °C and at 80 °C) (p > 0.05). Flavonoids were higher (4.18 mg CE/100 g) in the ST than in the IHSCD which recorded a value of 3.96. The IHSCD yielded higher values of Vitamins A (RAE) of 48.77, and Vitamins C (mg/100 g) of 348.89 than the ST dryer (45.48, 338.02 respectively). Considering the physical and technological properties, the differences between the two drying processes were actually not significant but taking into account the retention of the functional attributes, the IHSCD would be the superlative choice. Application of IHSCD can act as a game changer to smallholder farmers in the tropics, in transforming tree tomato from subsistence farming, into value added, nutritious, safe, and shelf-stable food product.
利用太阳能改变食品生产过程可以减少对化石燃料的依赖,化石燃料成本高昂,并产生温室气体排放。研究了间接混合太阳能柜式干燥机(IHSCD)和太阳能隧道式干燥机(ST)对树番茄粉干燥动力学和品质特性的影响。对于这两款烘干机,在测试的机型中,改良版机型是最好的。IHSCD的k和n值分别为0.116和8.128,ST的k和n值分别为0.146和4.022。果粉的L*、a*、b*、C*和ΔE颜色值无显著差异(p >; 0.05),而果粉的h*颜色值ST(30.33)高于IHSCD(25.63)。在50 °C时的水溶性%记录有显著差异(p <; 0.001),ST干燥器的水溶性%较高,为98.53°C, IHSCD干燥器为97.68°C。复水率、吸湿性和水溶性(25 °C和80 °C)无显著差异(p >; 0.05)。黄酮类化合物在ST中的含量(4.18 mg CE/100 g)高于IHSCD(3.96)。IHSCD的维生素A (RAE)为48.77,维生素C (mg/100 g)为348.89,高于ST干燥机(45.48,338.02)。考虑到物理和工艺性能,两种干燥工艺之间的差异实际上并不显著,但考虑到功能属性的保留,IHSCD将是最好的选择。IHSCD的应用可以改变热带地区小农的游戏规则,将树番茄从自给农业转变为增值、营养、安全和货架稳定的食品。
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引用次数: 0
An integrated cleaning strategy for ginger: Combining ultrasonic-bubbling synergy with YOLOv5-based cleanliness assessment 生姜的综合清洁策略:超声鼓泡协同与基于yolov5的洁净度评估相结合
Pub Date : 2025-12-16 DOI: 10.1016/j.foodp.2025.100079
Haoxin Li , Wenhao Zhou , Xiaojie Yu , Lei Zhang , Yabin Feng , Zhenfeng Yang , Cunshan Zhou
Ginger (Zingiber officinale Roscoe) is an important spice and medicinal plant widely consumed worldwide. Its irregular surface easily retains soil and microorganisms, while traditional cleaning methods are often ineffective in removing contaminants from crevices, affecting product safety and quality consistency. This study developed a combined bubbling and ultrasonic cleaning system with machine vision inspection to improve cleaning thoroughness and enable standardized cleanliness evaluation. Numerical simulations helped determine initial equipment parameters: a bubbling flow rate of 10 m/s and ultrasonic frequency of 40 kHz, with an interleaved transducer arrangement to reduce standing waves. Single-factor experiments established the best operational conditions as 8 min of bubbling combined with ultrasound (900 W) and a batch size of 10 kg per cycle. Among nine tested treatment protocols, the combination of 2 % NaHCO₃ soaking with 40 kHz ultrasound and bubbling (NS+US+Bubbling) achieved 95.78 % cleaning efficiency and reducing microbial load by 4–5 log CFU/g. Ultrasonic treatment also enhanced phenylalanine ammonia-lyase activity in ginger, leading to a 38.01 % increase in phenolic accumulation compared to untreated samples. A YOLOv5-based recognition model achieved over 98 % accuracy in cleanliness assessment. The integrated bubbling-ultrasonic system enables efficient and comprehensive ginger cleaning, while the machine vision approach provides potential support for standardized grading.
生姜(Zingiber officinale Roscoe)是一种重要的香料和药用植物,在世界范围内广泛使用。其不规则的表面容易保留土壤和微生物,而传统的清洁方法往往无法去除缝隙中的污染物,影响产品的安全性和质量一致性。本研究开发了一种结合机器视觉检测的鼓泡和超声波清洗系统,以提高清洗的彻底性,实现标准化的清洁度评价。数值模拟有助于确定初始设备参数:鼓泡流速为10 m/s,超声波频率为40 kHz,交错换能器布置以减少驻波。单因素实验确定最佳操作条件为鼓泡联合超声(900 W) 8 min,批处理量为10 kg /循环。在所测试的9种处理方案中,2 % NaHCO₃浸泡与40 kHz超声和鼓泡(NS+US+鼓泡)组合的清洁效率为95.78 %,微生物负荷减少4-5 log CFU/g。超声波处理也增强了生姜苯丙氨酸解氨酶的活性,导致酚积累比未处理的样品增加38.01 %。基于yolov5的识别模型在清洁度评估中准确率达到98% %以上。集成的起泡超声系统使生姜清洁高效和全面,而机器视觉方法为标准化分级提供了潜在的支持。
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引用次数: 0
Subcritical water extraction as a green technology for the recovery of bioactive compounds from algae: A comprehensive review 亚临界水萃取作为一种绿色技术回收藻类中的生物活性化合物:综述
Pub Date : 2025-12-11 DOI: 10.1016/j.foodp.2025.100077
Hadiya Tahir , Aamir Hussain Dar , Kshirod Kumar Dash , Toiba Majeed , Shivangi Srivastava , Anurag Singh , Madiya Manzoor , Urba Shafiq Sidiqi , Arsheed Ahmad Ganaie
Subcritical water extraction is used for extraction of various bioactive compounds, antioxidants, and colorants from algae. The bioactive compound extraction utilizing sustainable environmentally technology is currently of utmost importance, particularly in relation to functional foods and advanced healthcare solutions. When using Subcritical water extraction (SWE), the alteration of temperature and pressure allows for the selective extraction of particular bio active compounds, thereby reducing the quantum of components not required. SWE enables water to dissolve both polar and non-polar compounds because its dielectric constant decreases as the temperature increases. This process allows maintaining the bioactivity as well as desirable qualities of bioactive compounds being extracted. The use of water as solvent in SWE ensures that the safe and eco-friendly procedure. These improved characteristics of subcritical water solvent leads to high extraction efficiency. The objective of this study is the extraction of the bioactive compounds from the algae using the subcritical water extraction (SWE) and to discuss the various methodologies, their implementations, advantages as well as prospective advancements of SWE in relation to algae. The study further aims to emphasize the significantly efficient and sustainable extraction of bioactive compounds from algae, with the intent of applying them in diverse industrial applications.
亚临界水萃取法用于从藻类中提取各种生物活性化合物、抗氧化剂和着色剂。利用可持续的环保技术提取生物活性化合物是目前最重要的,特别是在功能食品和先进的医疗保健解决方案方面。当使用亚临界水萃取(SWE)时,温度和压力的改变允许选择性地提取特定的生物活性化合物,从而减少不需要的成分的数量。SWE使水能够溶解极性和非极性化合物,因为它的介电常数随着温度的升高而降低。该过程允许保持生物活性以及所提取的生物活性化合物的理想品质。在SWE中使用水作为溶剂,确保了安全环保的过程。这些改进的亚临界水溶剂的特性使萃取效率提高。本研究的目的是利用亚临界水萃取(SWE)从藻类中提取生物活性化合物,并讨论各种方法,它们的实现,SWE的优势以及与藻类相关的前景进展。该研究进一步旨在强调从藻类中高效和可持续地提取生物活性化合物,并将其应用于各种工业应用。
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引用次数: 0
Application of the PVSDM model for elucidating mass transfer mechanisms during adsorption and its potential applications in food research PVSDM模型在吸附过程传质机理研究中的应用及其在食品研究中的应用前景
Pub Date : 2025-11-13 DOI: 10.1016/j.foodp.2025.100076
Yue Wu , Weizhi Liu , Sivakumar Manickam , Dandan Li , Yongbin Han , Zhengyang Bao , Yang Tao
The pore volume and surface diffusion model (PVSDM) provides a rigorous, mechanistic framework for elucidating mass transfer phenomena in adsorption processes. Unlike empirical kinetic models, PVSDM offers a physically grounded description that integrates solid-liquid interfacial transfer, intraparticle diffusion, and adsorption site interactions within a unified theoretical construct. Although this model holds great promise for exploring adsorption mechanisms in complex food matrices, its mathematical complexity has hindered its broader adoption in food research. This work presents a comprehensive exposition of the PVSDM theory, encompassing its conceptual foundations, mathematical formulations, and computational implementation. The governing assumptions and simplification strategies used to solve the PVSDM model are first elucidated, followed by detailed methods for calculating key mass transfer parameters prior to model computations. Subsequently, the numerical operations required to solve the partial differential equations are outlined. Furthermore, representative findings derived from PVSDM simulations are discussed in the context of adsorption phenomena involving food components. This study advances scientific understanding by integrating physics-based modeling frameworks with their practical implications in food science.
孔隙体积和表面扩散模型(PVSDM)为解释吸附过程中的传质现象提供了一个严格的机制框架。与经验动力学模型不同,PVSDM提供了一个物理基础的描述,将固体-液体界面转移,颗粒内扩散和吸附位点相互作用整合在一个统一的理论结构中。尽管该模型在探索复杂食品基质中的吸附机制方面具有很大的前景,但其数学复杂性阻碍了其在食品研究中的广泛采用。这项工作提出了PVSDM理论的全面阐述,包括其概念基础,数学公式和计算实现。首先阐述了PVSDM模型的控制假设和简化策略,然后详细介绍了在模型计算之前计算关键传质参数的方法。随后,概述了求解偏微分方程所需的数值运算。此外,在涉及食品成分的吸附现象的背景下,讨论了PVSDM模拟的代表性结果。本研究通过整合基于物理的建模框架及其在食品科学中的实际意义来推进科学理解。
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引用次数: 0
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Food Physics
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