首页 > 最新文献

European Food Research and Technology最新文献

英文 中文
Electrical bioimpedance spectroscopy as a non-invasive monitoring tool of physiological states of macroalgae tissues: example on the impact of electroporation on 8 different seaweed species 作为大型藻类组织生理状态非侵入性监测工具的生物电阻抗光谱:以电穿孔对 8 种不同海藻的影响为例
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-20 DOI: 10.1007/s00217-024-04510-2
Arthur Robin, Klimentiy Levkov, César A. González-Díaz, Nataly P. López-Saquisilí, Alexander Golberg

In this study, we evaluated Electrical Impedance Spectroscopy (EIS) as a monitoring tool of the physiological state of Bryopsis, Cystoseira, Stypopodium, Cladophora, Taonia, Padina, Ulva and Sargassum tissues. We analyzed the electrical response differences in the EIS between species and in the same seaweed tissue before and after electroporation. Electroporation using high voltage pulsed electric field (PEF) treatment was used as a model for cell disruption affecting the tissue physiology without being noticeable to the naked-eye. Significant differences in all the seaweeds were observed before and after electroporation. We found that seaweed species with smaller and rounder cells have a clearer dispersion profile (around a frequency of 10–100 kHz) compared to the dispersion profile of seaweed with larger cells with unround form. Those results suggest that EIS could be used as a fast non-invasive monitoring technique of the changes in the physiology of seaweeds.

在这项研究中,我们评估了电阻抗光谱(EIS)作为一种监测 Bryopsis、Cystoseira、Stypopodium、Cladophora、Taonia、Padina、Ulva 和 Sargassum 组织生理状态的工具。我们分析了不同物种之间以及同一海藻组织在电穿孔前后的电反应差异。使用高压脉冲电场(PEF)进行电穿孔处理,可在肉眼无法察觉的情况下破坏细胞,影响组织的生理机能。所有海藻在电穿孔前后都有显著差异。我们发现,与细胞较大、形状不圆的海藻相比,细胞较小、较圆的海藻具有更清晰的弥散曲线(频率在 10-100 kHz 左右)。这些结果表明,EIS 可作为一种快速非侵入性监测技术,用于监测海藻的生理变化。
{"title":"Electrical bioimpedance spectroscopy as a non-invasive monitoring tool of physiological states of macroalgae tissues: example on the impact of electroporation on 8 different seaweed species","authors":"Arthur Robin,&nbsp;Klimentiy Levkov,&nbsp;César A. González-Díaz,&nbsp;Nataly P. López-Saquisilí,&nbsp;Alexander Golberg","doi":"10.1007/s00217-024-04510-2","DOIUrl":"10.1007/s00217-024-04510-2","url":null,"abstract":"<div><p>In this study, we evaluated Electrical Impedance Spectroscopy (EIS) as a monitoring tool of the physiological state of <i>Bryopsis, Cystoseira, Stypopodium, Cladophora, Taonia, Padina, Ulva and Sargassum</i> tissues. We analyzed the electrical response differences in the EIS between species and in the same seaweed tissue before and after electroporation. Electroporation using high voltage pulsed electric field (PEF) treatment was used as a model for cell disruption affecting the tissue physiology without being noticeable to the naked-eye. Significant differences in all the seaweeds were observed before and after electroporation. We found that seaweed species with smaller and rounder cells have a clearer dispersion profile (around a frequency of 10–100 kHz) compared to the dispersion profile of seaweed with larger cells with unround form. Those results suggest that EIS could be used as a fast non-invasive monitoring technique of the changes in the physiology of seaweeds.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 7","pages":"2011 - 2023"},"PeriodicalIF":3.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04510-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140680448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Determination of aluminium concentrations in black, green, and white tea samples: effects of different infusion times and teapot species on aluminium release 测定红茶、绿茶和白茶样品中的铝浓度:不同冲泡时间和茶壶种类对铝释放的影响
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-18 DOI: 10.1007/s00217-024-04532-w
Elif Öztürk, Sercan Yıldırım, Asli Akyol

Tea is the most consumed beverage in the world after water and contains heavy metals and trace elements that may cause potential negative effects on health. Aluminium (Al) concentrations in black, green, and white tea with different infusion times and teapot materials were evaluated in this study. Commercially available tea samples were brewed in 5 different teapots, consisting of aluminium, copper, glass, steel, and porcelain materials for 5, 10, and 15 min. Al concentrations in tea samples were determined by high-performance liquid chromatography with a fluorescence detector. Al concentrations in tea samples were in the range of 38.46 ± 5.08–844.75 ± 10.86 µg/L. Both teapot type (p < 0.001) and infusion time (p < 0.001) significantly influenced Al concentrations in tea samples. The interaction between tea type, teapot material, and infusion time was statistically significant (p < 0.001). The hazard ratio was less than 1 for black and white tea infusions except for one sample whereas it was greater than 1 for green tea. These data suggest that green tea consumption might be a potential risk factor for Al exposure.

茶是仅次于水的世界上消费量最大的饮料,其中含有的重金属和微量元素可能会对健康造成潜在的负面影响。本研究评估了红茶、绿茶和白茶中不同冲泡时间和茶壶材料的铝(Al)浓度。市面上销售的茶叶样品分别用铝、铜、玻璃、钢和瓷等 5 种不同材质的茶壶冲泡 5、10 和 15 分钟。采用高效液相色谱法和荧光检测器测定茶叶样品中的铝浓度。茶叶样品中的铝浓度范围为 38.46 ± 5.08-844.75 ± 10.86 µg/L。茶壶类型(p < 0.001)和浸泡时间(p < 0.001)对茶叶样品中的铝浓度有显著影响。茶叶种类、茶壶材料和浸泡时间之间的交互作用具有统计学意义(p < 0.001)。除一个样本外,红茶和白茶的危险比均小于 1,而绿茶的危险比则大于 1。这些数据表明,饮用绿茶可能是接触铝的潜在风险因素。
{"title":"Determination of aluminium concentrations in black, green, and white tea samples: effects of different infusion times and teapot species on aluminium release","authors":"Elif Öztürk,&nbsp;Sercan Yıldırım,&nbsp;Asli Akyol","doi":"10.1007/s00217-024-04532-w","DOIUrl":"10.1007/s00217-024-04532-w","url":null,"abstract":"<div><p>Tea is the most consumed beverage in the world after water and contains heavy metals and trace elements that may cause potential negative effects on health. Aluminium (Al) concentrations in black, green, and white tea with different infusion times and teapot materials were evaluated in this study. Commercially available tea samples were brewed in 5 different teapots, consisting of aluminium, copper, glass, steel, and porcelain materials for 5, 10, and 15 min. Al concentrations in tea samples were determined by high-performance liquid chromatography with a fluorescence detector. Al concentrations in tea samples were in the range of 38.46 ± 5.08–844.75 ± 10.86 µg/L. Both teapot type (<i>p</i> &lt; 0.001) and infusion time (<i>p</i> &lt; 0.001) significantly influenced Al concentrations in tea samples. The interaction between tea type, teapot material, and infusion time was statistically significant (<i>p</i> &lt; 0.001). The hazard ratio was less than 1 for black and white tea infusions except for one sample whereas it was greater than 1 for green tea. These data suggest that green tea consumption might be a potential risk factor for Al exposure.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 8","pages":"2225 - 2231"},"PeriodicalIF":3.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04532-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140688640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application 使用常见的深度学习算法和机器学习方法,利用开发的移动应用程序进行鱼眼保鲜检测
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-18 DOI: 10.1007/s00217-024-04493-0
Muslume Beyza Yildiz, Elham Tahsin Yasin, Murat Koklu

Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is stored for an extended period, its freshness deteriorates. Determining the freshness of fish can be done by examining its eyes, smell, skin, and gills. In this study, artificial intelligence techniques are employed to assess fish freshness. The author’s objective is to evaluate the freshness of fish by analyzing its eye characteristics. To achieve this, we have developed a combination of deep and machine learning models that accurately classify the freshness of fish. Furthermore, an application that utilizes both deep learning and machine learning, to instantly detect the freshness of any given fish sample was created. Two deep learning algorithms (SqueezeNet, and VGG19) were implemented to extract features from image data. Additionally, five machine learning models to classify the freshness levels of fish samples were applied. Machine learning models include (k-NN, RF, SVM, LR, and ANN). Based on the results, it can be inferred that employing the VGG19 model for feature selection in conjunction with an Artificial Neural Network (ANN) for classification yields the most favorable success rate of 77.3% for the FFE dataset.

鱼通常作为人类蛋白质和必需营养素的来源而被摄入。要充分享受鱼肉中的蛋白质和物质,确保鱼肉新鲜至关重要。如果鱼存放时间过长,其新鲜度就会下降。判断鱼的新鲜度可以通过检查鱼的眼睛、气味、鱼皮和鱼鳃来实现。本研究采用人工智能技术来评估鱼的新鲜度。作者的目标是通过分析鱼的眼睛特征来评估鱼的新鲜度。为此,我们开发了一种深度学习和机器学习相结合的模型,可以准确地对鱼的新鲜度进行分类。此外,我们还创建了一个同时利用深度学习和机器学习的应用程序,以即时检测任何给定鱼类样本的新鲜度。我们采用了两种深度学习算法(SqueezeNet 和 VGG19)从图像数据中提取特征。此外,还应用了五种机器学习模型来对鱼类样本的新鲜程度进行分类。机器学习模型包括(k-NN、RF、SVM、LR 和 ANN)。根据结果可以推断,采用 VGG19 模型进行特征选择,并结合人工神经网络(ANN)进行分类,对 FFE 数据集的成功率最高,达到 77.3%。
{"title":"Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application","authors":"Muslume Beyza Yildiz,&nbsp;Elham Tahsin Yasin,&nbsp;Murat Koklu","doi":"10.1007/s00217-024-04493-0","DOIUrl":"10.1007/s00217-024-04493-0","url":null,"abstract":"<p>Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is stored for an extended period, its freshness deteriorates. Determining the freshness of fish can be done by examining its eyes, smell, skin, and gills. In this study, artificial intelligence techniques are employed to assess fish freshness. The author’s objective is to evaluate the freshness of fish by analyzing its eye characteristics. To achieve this, we have developed a combination of deep and machine learning models that accurately classify the freshness of fish. Furthermore, an application that utilizes both deep learning and machine learning, to instantly detect the freshness of any given fish sample was created. Two deep learning algorithms (SqueezeNet, and VGG19) were implemented to extract features from image data. Additionally, five machine learning models to classify the freshness levels of fish samples were applied. Machine learning models include (k-NN, RF, SVM, LR, and ANN). Based on the results, it can be inferred that employing the VGG19 model for feature selection in conjunction with an Artificial Neural Network (ANN) for classification yields the most favorable success rate of 77.3% for the FFE dataset.</p>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 7","pages":"1919 - 1932"},"PeriodicalIF":3.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04493-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140688930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the effect of sucrose and d-allulose addition on the gelling ability and physical properties of agar–agar vegan gels 探索蔗糖和 d-阿洛糖添加量对琼脂-琼脂素凝胶胶凝能力和物理性质的影响
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-16 DOI: 10.1007/s00217-024-04534-8
Pelin Poçan, Sevil Çıkrıkcı Erünsal

Plant-based hydrocolloid systems which are mixed with different carbohydrate types are becoming popular due to vegan concerns for both non-food and food industry. In this study, different sugar types (d-allulose and sucrose) at different concentrations (20% and 40%) were used to explore their effects on the gelation and physical properties of agar–agar. For characterization of these agar–agar-based gel systems, in addition to common physical methods (moisture content, water activity, color, hardness, viscosity), novel methods such as TD-NMR relaxometry, and FTIR were also used to get deep insight of the microstructures and water dynamics of the gel systems. Results clearly indicated that sugar type and concentration were vital factors affecting the agar–agar gel properties and dynamics of the system. Utilization of allulose in the gel systems led to formation of less moist and softer agar–agar matrix characterized with longer T2 spin–spin relaxation times. This study will lead to designing new types of vegan agar–agar-based confectionery products such as soft candies that are considered as perfect composite gels.

由于非食品和食品行业对素食的关注,混合了不同碳水化合物类型的植物基水胶体系统正变得越来越受欢迎。本研究使用了不同浓度(20% 和 40%)的不同糖类(d-阿洛糖和蔗糖)来探讨它们对琼脂-琼脂凝胶化和物理性质的影响。在表征这些琼脂-琼脂凝胶体系时,除了使用常见的物理方法(含水量、水活性、颜色、硬度、粘度)外,还使用了 TD-NMR 驰豫测定法和傅立叶变换红外光谱法等新方法,以深入了解凝胶体系的微观结构和水动力学。结果清楚地表明,糖的种类和浓度是影响琼脂-琼脂凝胶特性和系统动态的重要因素。在凝胶体系中使用阿尿糖会使琼脂-琼脂基质更湿润、更柔软,并具有更长的 T2 自旋-自旋弛豫时间。这项研究将有助于设计新型素食琼脂-琼脂基糖果产品,如被视为完美复合凝胶的软糖。
{"title":"Exploring the effect of sucrose and d-allulose addition on the gelling ability and physical properties of agar–agar vegan gels","authors":"Pelin Poçan,&nbsp;Sevil Çıkrıkcı Erünsal","doi":"10.1007/s00217-024-04534-8","DOIUrl":"10.1007/s00217-024-04534-8","url":null,"abstract":"<div><p>Plant-based hydrocolloid systems which are mixed with different carbohydrate types are becoming popular due to vegan concerns for both non-food and food industry. In this study, different sugar types (<span>d</span>-allulose and sucrose) at different concentrations (20% and 40%) were used to explore their effects on the gelation and physical properties of agar–agar. For characterization of these agar–agar-based gel systems, in addition to common physical methods (moisture content, water activity, color, hardness, viscosity), novel methods such as TD-NMR relaxometry, and FTIR were also used to get deep insight of the microstructures and water dynamics of the gel systems. Results clearly indicated that sugar type and concentration were vital factors affecting the agar–agar gel properties and dynamics of the system. Utilization of allulose in the gel systems led to formation of less moist and softer agar–agar matrix characterized with longer <i>T</i><sub>2</sub> spin–spin relaxation times. This study will lead to designing new types of vegan agar–agar-based confectionery products such as soft candies that are considered as perfect composite gels.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 8","pages":"2245 - 2254"},"PeriodicalIF":3.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04534-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing olive oil quality through an advanced enrichment process utilizing ripe and fallen fruits 通过利用成熟落果的先进浓缩工艺提高橄榄油质量
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-16 DOI: 10.1007/s00217-024-04515-x
Mariem Habibi, Marwa Abdallah, Wael Taamali, Alessandro Genovese, Andrea Balivo, Jose Manuel Lorenzo, Najla Trabelsi

Enriched olive oil combines olive oil with plants for enhanced flavor and potential health benefits, offering a versatile culinary ingredient. This process combines the natural goodness of olive oil with the unique characteristics of plants. The aim of this work was to study the effect of rosemary (Rosmarinus officinalis) as a food additive (E 392) in the enrichment of ripe and fallen olives on the quality of the resulting flavored olive oil. Olive fruits at different stages of maturation green (ST1), mixed (ST2), black (ST3), and fallen in the ground (FO) were crushed with rosemary at two different percentages (2 and 5% w/w). Quality parameters, fatty acid profile, antioxidant profile, and volatile composition were evaluated. For ST3 and FO, rosemary addition decreased free acidity values, peroxide index, K232, and pigment content. Total phenols increased by 34 and 55% for ST3 and FO, respectively with 2% rosemary. As for bio-phenols, this process influenced antioxidant activity. In fact, 2,2-diphenyl-1-picrylhydrazyl (DPPH) activity is improved by 59 and 51%, respectively, for ST3 and FO oils flavored with 5% rosemary. As anticipated, the volatile profile changed significantly due to the rosemary addition, inducing the presence of terpene compounds, such as α-pinene, α-cymene, camphene, β-pinene, and α-terpineol. These findings prove that aromatization process improves the quality and the antioxidant profile of olive oils obtained from mature and fallen olives, and could help in solving the economic problems of oil mills. Other plants such as garlic, lemon, thyme, and others can be studied to find out if better results can be achieved.

浓缩橄榄油将橄榄油与植物相结合,使其风味更佳,并具有潜在的保健功效,是一种多功能的烹饪配料。这一工艺将橄榄油的天然美味与植物的独特特性相结合。这项工作的目的是研究迷迭香(Rosmarinus officinalis)作为一种食品添加剂(E 392),在富集成熟橄榄果和落叶橄榄果的过程中对所得风味橄榄油质量的影响。将处于不同成熟阶段的绿色(ST1)、混合(ST2)、黑色(ST3)和落地(FO)橄榄果与迷迭香以两种不同的比例(2%和 5%w/w)混合压碎。对质量参数、脂肪酸含量、抗氧化剂含量和挥发性成分进行了评估。对于 ST3 和 FO,迷迭香的添加降低了游离酸值、过氧化物指数、K232 和色素含量。在添加 2% 迷迭香的 ST3 和 FO 中,总酚分别增加了 34% 和 55%。至于生物酚,这一过程影响了抗氧化活性。事实上,添加了 5%迷迭香的 ST3 和 FO 油的 2,2-二苯基-1-苦基肼(DPPH)活性分别提高了 59% 和 51%。正如预期的那样,由于添加了迷迭香,挥发性特征发生了显著变化,诱发了萜烯化合物的出现,如 α-蒎烯、α-栀子烯、莰烯、β-蒎烯和α-松油醇。这些研究结果证明,芳香化过程可以提高从成熟橄榄果和落果中提取的橄榄油的质量和抗氧化性,有助于解决油厂的经济问题。还可以对大蒜、柠檬、百里香等其他植物进行研究,看看能否取得更好的效果。
{"title":"Enhancing olive oil quality through an advanced enrichment process utilizing ripe and fallen fruits","authors":"Mariem Habibi,&nbsp;Marwa Abdallah,&nbsp;Wael Taamali,&nbsp;Alessandro Genovese,&nbsp;Andrea Balivo,&nbsp;Jose Manuel Lorenzo,&nbsp;Najla Trabelsi","doi":"10.1007/s00217-024-04515-x","DOIUrl":"10.1007/s00217-024-04515-x","url":null,"abstract":"<div><p>Enriched olive oil combines olive oil with plants for enhanced flavor and potential health benefits, offering a versatile culinary ingredient. This process combines the natural goodness of olive oil with the unique characteristics of plants. The aim of this work was to study the effect of rosemary (<i>Rosmarinus officinalis</i>) as a food additive (E 392) in the enrichment of ripe and fallen olives on the quality of the resulting flavored olive oil. Olive fruits at different stages of maturation green (ST1), mixed (ST2), black (ST3), and fallen in the ground (FO) were crushed with rosemary at two different percentages (2 and 5% w/w). Quality parameters, fatty acid profile, antioxidant profile, and volatile composition were evaluated. For ST3 and FO, rosemary addition decreased free acidity values, peroxide index, <i>K</i><sub>232</sub>, and pigment content. Total phenols increased by 34 and 55% for ST3 and FO, respectively with 2% rosemary. As for bio-phenols, this process influenced antioxidant activity. In fact, 2,2-diphenyl-1-picrylhydrazyl (DPPH) activity is improved by 59 and 51%, respectively, for ST3 and FO oils flavored with 5% rosemary. As anticipated, the volatile profile changed significantly due to the rosemary addition, inducing the presence of terpene compounds, such as α-pinene, α-cymene, camphene, β-pinene, and α-terpineol. These findings prove that aromatization process improves the quality and the antioxidant profile of olive oils obtained from mature and fallen olives, and could help in solving the economic problems of oil mills. Other plants such as garlic, lemon, thyme, and others can be studied to find out if better results can be achieved.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 7","pages":"2039 - 2051"},"PeriodicalIF":3.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Chemical, microbial, and volatile compounds of water kefir beverages made from chickpea, almond, and rice extracts 用鹰嘴豆、杏仁和大米提取物制成的开菲尔水饮料中的化学、微生物和挥发性化合物
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-16 DOI: 10.1007/s00217-024-04533-9
Mutlu Ustaoğlu-Gençgönül, Çağlar Gökırmaklı, Bilgenur Üçgül, Yonca Karagül-Yüceer, Zeynep B. Guzel-Seydim

This study aims to assess the microbial, nutritional, volatile, and sensory characteristics of rice, almond, and chickpea water kefir beverages during refrigerated storage. Plant-based kefirs contained significant amounts of lactic acid bacteria and yeasts. The microbial content of kefirs was stable during 14-day refrigerated storage. Lactic acid, acetic acid, and tartaric acid are commonly detected organic acids in kefir samples. Almond and chickpea kefirs were rich in potassium mineral. Almond kefir had the highest ethanol content among plant-based kefirs, followed by chickpea and rice-based kefirs. Ethyl acetate, acetic acid, propionic acid, hexanoic acid, and benzenemethanol were identified as key volatile compounds in almond kefir and chickpea kefir samples using a GC–MS detector during water kefir fermentation. According to sensory analysis results, significant differences are present for all test parameters except odor. Almond kefir was the most accepted, while the other two kefir samples were below the general acceptance level (P < 0.05).

本研究旨在评估大米、杏仁和鹰嘴豆水克菲尔饮料在冷藏储存期间的微生物、营养、挥发性和感官特性。植物基酸乳酒含有大量乳酸菌和酵母。在 14 天的冷藏储存期间,酸乳酒中的微生物含量保持稳定。乳酸、乙酸和酒石酸是在酸乳酒样品中普遍检测到的有机酸。杏仁和鹰嘴豆酸乳含有丰富的钾矿物质。在以植物为原料的酸乳中,杏仁酸乳的乙醇含量最高,其次是鹰嘴豆和大米酸乳。利用气相色谱-质谱检测器确定了杏仁酸乳酒和鹰嘴豆酸乳酒样品中的乙酸乙酯、乙酸、丙酸、己酸和苯甲醇是水酸乳酒发酵过程中的主要挥发性化合物。根据感官分析结果,除气味外,所有测试参数都存在显著差异。杏仁酸乳的接受度最高,而其他两种酸乳样品的接受度低于一般接受水平(P < 0.05)。
{"title":"Chemical, microbial, and volatile compounds of water kefir beverages made from chickpea, almond, and rice extracts","authors":"Mutlu Ustaoğlu-Gençgönül,&nbsp;Çağlar Gökırmaklı,&nbsp;Bilgenur Üçgül,&nbsp;Yonca Karagül-Yüceer,&nbsp;Zeynep B. Guzel-Seydim","doi":"10.1007/s00217-024-04533-9","DOIUrl":"10.1007/s00217-024-04533-9","url":null,"abstract":"<div><p>This study aims to assess the microbial, nutritional, volatile, and sensory characteristics of rice, almond, and chickpea water kefir beverages during refrigerated storage. Plant-based kefirs contained significant amounts of lactic acid bacteria and yeasts. The microbial content of kefirs was stable during 14-day refrigerated storage. Lactic acid, acetic acid, and tartaric acid are commonly detected organic acids in kefir samples. Almond and chickpea kefirs were rich in potassium mineral. Almond kefir had the highest ethanol content among plant-based kefirs, followed by chickpea and rice-based kefirs. Ethyl acetate, acetic acid, propionic acid, hexanoic acid, and benzenemethanol were identified as key volatile compounds in almond kefir and chickpea kefir samples using a GC–MS detector during water kefir fermentation. According to sensory analysis results, significant differences are present for all test parameters except odor. Almond kefir was the most accepted, while the other two kefir samples were below the general acceptance level (<i>P</i> &lt; 0.05).</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 8","pages":"2233 - 2244"},"PeriodicalIF":3.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04533-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Determination of phenolic content and bioactive characterization of Anatolian propolis 测定安纳托利亚蜂胶的酚含量和生物活性特征
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-15 DOI: 10.1007/s00217-024-04522-y
Zehra Can, Ceren Birinci, Yakup Kara, Ülkü Zeynep Üreyen Esertaş, Sevgi Kolaylı

In this study, propolis referred to as of Türkiye Anatolian propolis was utilized. This work was aim to prepare a 70% ethanolic extract of propolis and subsequently determine certain biochemical parameters, total phenolic content (TPC), total flavonoid content (TFC), phenolic and flavonoid composition, inhibitory effects on certain enzymes [acetylcholinesterase (AChE), urease, and alpha-amylase], along with assessments of antiviral activity against Vero cells, lung cancer cells (A549), and breast cancer cells (MDA-MB-231). The richness of phenolic content in Anatolian propolis clearly indicates a high inhibitory effect on these enzymes. Additionally, it was observed to exert significant effects on cancer cells and demonstrated effective antiviral activity. It can be contemplated that the Anatolian propolis might serve as a potential source for novel drugs, and the isolation of its compounds could offer opportunities for utilization in traditional medicine.

在这项研究中,使用的是土耳其安纳托利亚蜂胶。这项工作旨在制备 70% 的蜂胶乙醇提取物,然后测定某些生化参数、总酚含量(TPC)、总黄酮含量(TFC)、酚类和黄酮类成分、对某些酶(乙酰胆碱酯酶(AChE)、脲酶和α-淀粉酶)的抑制作用,以及对 Vero 细胞、肺癌细胞(A549)和乳腺癌细胞(MDA-MB-231)的抗病毒活性评估。安纳托利亚蜂胶中丰富的酚类成分清楚地表明它对这些酶具有很强的抑制作用。此外,还观察到蜂胶对癌细胞有显著效果,并显示出有效的抗病毒活性。可以认为,安纳托利亚蜂胶可作为新型药物的潜在来源,其化合物的分离可为传统医药的利用提供机会。
{"title":"Determination of phenolic content and bioactive characterization of Anatolian propolis","authors":"Zehra Can,&nbsp;Ceren Birinci,&nbsp;Yakup Kara,&nbsp;Ülkü Zeynep Üreyen Esertaş,&nbsp;Sevgi Kolaylı","doi":"10.1007/s00217-024-04522-y","DOIUrl":"10.1007/s00217-024-04522-y","url":null,"abstract":"<div><p>In this study, propolis referred to as of Türkiye Anatolian propolis was utilized. This work was aim to prepare a 70% ethanolic extract of propolis and subsequently determine certain biochemical parameters, total phenolic content (TPC), total flavonoid content (TFC), phenolic and flavonoid composition, inhibitory effects on certain enzymes [acetylcholinesterase (AChE), urease, and alpha-amylase], along with assessments of antiviral activity against Vero cells, lung cancer cells (A549), and breast cancer cells (MDA-MB-231). The richness of phenolic content in Anatolian propolis clearly indicates a high inhibitory effect on these enzymes. Additionally, it was observed to exert significant effects on cancer cells and demonstrated effective antiviral activity. It can be contemplated that the Anatolian propolis might serve as a potential source for novel drugs, and the isolation of its compounds could offer opportunities for utilization in traditional medicine.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 7","pages":"2059 - 2068"},"PeriodicalIF":3.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04522-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pitahaya (Hylocereus ocamponis) peel flour as new ingredient in the development of beef burgers: impact on the quality parameters 皮塔哈雅(Hylocereus ocamponis)果皮粉作为开发牛肉汉堡的新配料:对质量参数的影响
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-15 DOI: 10.1007/s00217-024-04545-5
Verónica Reyes-García, Carmen Botella-Martínez, Naida Juárez-Trujillo, Manuel Viuda-Martos

The aim of this work was to determine the impact of pitahaya peel flour (PPF) addition, at different concentrations (1.5 and 3%) on the chemical, physico-chemical and sensorial properties of beef burgers. This assessment was based on: proximal analysis, physico-chemical and cooking properties, lipid oxidation and sensory assay of beef burgers. The burger reformulation with pitahaya peel flour had no effect (p > 0.05) on the chemical composition of raw burgers, whilst the cooked burger increased (p < 0.05) the protein and fat content and in the same way increased the calcium, potassium and phosphorus content (p < 0.05) with respect to the control sample. The colour coordinates redness (increased) and yellowness (decreased) were affected (p < 0.05) by the pitahaya peel flour addition. From a textural point of view, all parameters, except springiness, were affected (p < 0.05) by the incorporation of pitahaya peel flour. In addition, the use of pitahaya peel flour reduces (p < 0.05) the cooking loss and the shrinkage of burgers. The raw and cooked beef burger added with pitahaya peel flour showed lower lipid oxidation values (p < 0.05) than those of the control sample. The hedonic scores for all burgers analysed ranged from 6 to 7, which indicates a high degree of acceptance by the panellists. The results obtained indicated that pitahaya peel flour could be used as a novel ingredient in the development of beef burgers.

这项研究旨在确定添加不同浓度(1.5% 和 3%)的番荔枝皮粉(PPF)对牛肉汉堡的化学、理化和感官特性的影响。评估基于牛肉汉堡的近端分析、理化和烹饪特性、脂质氧化和感官检测。与对照样品相比,用番木瓜皮粉重新配制的汉堡对生汉堡的化学成分没有影响(p >0.05),而煮熟的汉堡增加了蛋白质和脂肪含量(p <0.05),同样也增加了钙、钾和磷含量(p <0.05)。颜色坐标红度(增加)和黄度(减少)受添加的番木瓜皮粉的影响(p <0.05)。从质地的角度来看,除回弹性外,所有参数都会受到加入番木瓜皮粉的影响(p < 0.05)。此外,番木瓜皮粉还能减少汉堡的烹饪损失和收缩(p < 0.05)。与对照样品相比,添加了番木瓜皮粉的生牛肉汉堡和熟牛肉汉堡的脂质氧化值更低(p < 0.05)。所分析的所有汉堡的享乐性得分都在 6 到 7 分之间,这表明小组成员的接受程度很高。结果表明,番木瓜皮粉可作为一种新型配料用于牛肉汉堡的开发。
{"title":"Pitahaya (Hylocereus ocamponis) peel flour as new ingredient in the development of beef burgers: impact on the quality parameters","authors":"Verónica Reyes-García,&nbsp;Carmen Botella-Martínez,&nbsp;Naida Juárez-Trujillo,&nbsp;Manuel Viuda-Martos","doi":"10.1007/s00217-024-04545-5","DOIUrl":"10.1007/s00217-024-04545-5","url":null,"abstract":"<div><p>The aim of this work was to determine the impact of pitahaya peel flour (PPF) addition, at different concentrations (1.5 and 3%) on the chemical, physico-chemical and sensorial properties of beef burgers. This assessment was based on: proximal analysis, physico-chemical and cooking properties, lipid oxidation and sensory assay of beef burgers. The burger reformulation with pitahaya peel flour had no effect (<i>p</i> &gt; 0.05) on the chemical composition of raw burgers, whilst the cooked burger increased (<i>p</i> &lt; 0.05) the protein and fat content and in the same way increased the calcium, potassium and phosphorus content (<i>p</i> &lt; 0.05) with respect to the control sample. The colour coordinates redness (increased) and yellowness (decreased) were affected (<i>p</i> &lt; 0.05) by the pitahaya peel flour addition. From a textural point of view, all parameters, except springiness, were affected (<i>p</i> &lt; 0.05) by the incorporation of pitahaya peel flour. In addition, the use of pitahaya peel flour reduces (<i>p</i> &lt; 0.05) the cooking loss and the shrinkage of burgers. The raw and cooked beef burger added with pitahaya peel flour showed lower lipid oxidation values (<i>p</i> &lt; 0.05) than those of the control sample. The hedonic scores for all burgers analysed ranged from 6 to 7, which indicates a high degree of acceptance by the panellists. The results obtained indicated that pitahaya peel flour could be used as a novel ingredient in the development of beef burgers.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 9","pages":"2375 - 2385"},"PeriodicalIF":3.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140703111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories 用于果汁厂柠檬质量分类的视觉变换器和斯温变换器模型的性能
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-15 DOI: 10.1007/s00217-024-04537-5
Sezer Dümen, Esra Kavalcı Yılmaz, Kemal Adem, Erdinç Avaroglu

Assessing the quality of agricultural products holds vital significance in enhancing production efficiency and market viability. The adoption of artificial intelligence (AI) has notably surged for this purpose, employing deep learning and machine learning techniques to process and classify agricultural product images, adhering to defined standards. This study focuses on the lemon dataset, encompassing ‘good’ and ‘bad’ quality classes, initiate by augmenting data through rescaling, random zoom, flip, and rotation methods. Subsequently, employing eight diverse deep learning approaches and two transformer methods for classification, the study culminated in the ViT method achieving an unprecedented 99.84% accuracy, 99.95% recall, and 99.66% precision, marking the highest accuracy documented. These findings strongly advocate for the efficacy of the ViT method in successfully classifying lemon quality, spotlighting its potential impact on agricultural quality assessment.

评估农产品质量对提高生产效率和市场生存能力至关重要。为此,人工智能(AI)的应用显著增加,它采用深度学习和机器学习技术,按照规定的标准对农产品图像进行处理和分类。本研究的重点是柠檬数据集,包括 "好 "和 "坏 "两个质量等级,通过重新缩放、随机缩放、翻转和旋转等方法增强数据。随后,研究采用了八种不同的深度学习方法和两种转换器方法进行分类,最终 ViT 方法获得了前所未有的 99.84% 的准确率、99.95% 的召回率和 99.66% 的精确率,创下了有记录以来的最高准确率。这些发现有力地证明了 ViT 方法在成功对柠檬质量进行分类方面的功效,凸显了其对农业质量评估的潜在影响。
{"title":"Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories","authors":"Sezer Dümen,&nbsp;Esra Kavalcı Yılmaz,&nbsp;Kemal Adem,&nbsp;Erdinç Avaroglu","doi":"10.1007/s00217-024-04537-5","DOIUrl":"10.1007/s00217-024-04537-5","url":null,"abstract":"<div><p>Assessing the quality of agricultural products holds vital significance in enhancing production efficiency and market viability. The adoption of artificial intelligence (AI) has notably surged for this purpose, employing deep learning and machine learning techniques to process and classify agricultural product images, adhering to defined standards. This study focuses on the lemon dataset, encompassing ‘good’ and ‘bad’ quality classes, initiate by augmenting data through rescaling, random zoom, flip, and rotation methods. Subsequently, employing eight diverse deep learning approaches and two transformer methods for classification, the study culminated in the ViT method achieving an unprecedented 99.84% accuracy, 99.95% recall, and 99.66% precision, marking the highest accuracy documented. These findings strongly advocate for the efficacy of the ViT method in successfully classifying lemon quality, spotlighting its potential impact on agricultural quality assessment.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 9","pages":"2291 - 2302"},"PeriodicalIF":3.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-024-04537-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vegan and sugar-substituted chocolates: assessing fatty acids, methylxanthines, minerals, volatiles and sensory profiles 素食巧克力和代糖巧克力:评估脂肪酸、甲基黄嘌呤、矿物质、挥发性物质和感官特征
IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Pub Date : 2024-04-15 DOI: 10.1007/s00217-024-04547-3
M. Pollon, F. Torregrossa, E. Marconi, C. Cinquanta, C. Messia, F. Malvano, F. Mazza, D. Planeta, O. Corona

To satisfy the ever-increasing share of consumers who are lactose intolerant, vegan or require foods with less simple sugars, chocolate companies are constantly looking for new formulations. In the present research, the nutritional and sensory profile of two novel chocolates was evaluated. In the first, milk powder was replaced by coconut copra, almond and isolated soy protein, and in the second dark chocolate-based, sucrose was replaced by coconut sugars, stevia and erythritol, resulting in a reduction in calorific value of about 8%. The substitution of milk powder with vegetal ingredients affected the chocolate mineral profile, with high iron and copper concentrations and less potassium, calcium and phosphorus. The vegan samples showed the presence of medium-chain fatty acids from coconut oil, mainly lauric acid. Esters, the group responsible for the fruity aroma, represented mainly by benzaldehyde, furfural and vanillin, were prevalent in the vegan sample. The novel chocolate without added sucrose provides approximately 2182.6 kJ/hg registering a reduction in caloric value of more than 8% compared to the standard sample. In addition, the presence of coconut sugar, with its low glycaemic index (35), made the novel chocolate healthier than plain sucrose-containing dark chocolate.

为了满足越来越多的乳糖不耐受者、素食者或需要少单糖食品的消费者的需求,巧克力公司一直在寻找新的配方。本研究对两种新型巧克力的营养和感官特性进行了评估。在第一种巧克力中,奶粉被椰干、杏仁和分离大豆蛋白取代;在第二种黑巧克力中,蔗糖被椰子糖、甜叶菊和赤藓糖醇取代,热量值降低了约 8%。用植物成分替代奶粉影响了巧克力的矿物质含量,铁和铜的含量较高,而钾、钙和磷的含量较低。纯素样品中含有椰子油中的中链脂肪酸,主要是月桂酸。酯类物质是水果香味的主要成分,在纯素样品中普遍存在,主要表现为苯甲醛、糠醛和香兰素。不添加蔗糖的新型巧克力可提供约 2182.6 千焦/小时克的热量,与标准样品相比,热量降低了 8%以上。此外,椰子糖的低血糖指数(35)使新型巧克力比普通含蔗糖黑巧克力更健康。
{"title":"Vegan and sugar-substituted chocolates: assessing fatty acids, methylxanthines, minerals, volatiles and sensory profiles","authors":"M. Pollon,&nbsp;F. Torregrossa,&nbsp;E. Marconi,&nbsp;C. Cinquanta,&nbsp;C. Messia,&nbsp;F. Malvano,&nbsp;F. Mazza,&nbsp;D. Planeta,&nbsp;O. Corona","doi":"10.1007/s00217-024-04547-3","DOIUrl":"10.1007/s00217-024-04547-3","url":null,"abstract":"<div><p>To satisfy the ever-increasing share of consumers who are lactose intolerant, vegan or require foods with less simple sugars, chocolate companies are constantly looking for new formulations. In the present research, the nutritional and sensory profile of two novel chocolates was evaluated. In the first, milk powder was replaced by coconut copra, almond and isolated soy protein, and in the second dark chocolate-based, sucrose was replaced by coconut sugars, stevia and erythritol, resulting in a reduction in calorific value of about 8%. The substitution of milk powder with vegetal ingredients affected the chocolate mineral profile, with high iron and copper concentrations and less potassium, calcium and phosphorus. The vegan samples showed the presence of medium-chain fatty acids from coconut oil, mainly lauric acid. Esters, the group responsible for the fruity aroma, represented mainly by benzaldehyde, furfural and vanillin, were prevalent in the vegan sample. The novel chocolate without added sucrose provides approximately 2182.6 kJ/hg registering a reduction in caloric value of more than 8% compared to the standard sample. In addition, the presence of coconut sugar, with its low glycaemic index (35), made the novel chocolate healthier than plain sucrose-containing dark chocolate.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"250 9","pages":"2387 - 2403"},"PeriodicalIF":3.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
期刊
European Food Research and Technology
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1