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Traditional fermented foods in Anatolia 安纳托利亚的传统发酵食品
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.1127
P. Şanlıbaba, B. Tezel
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引用次数: 1
Phase diagram combined with improved fuzzy support vector machine for rapid and nondestructive detection of Diarrhetic shellfish poisoning 相图结合改进模糊支持向量机快速无损检测腹泻性贝类中毒
Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.1124
Wei Jiang, Yao Liu, Fu Qiao, Zhongyan Liu, Jianfang Xiong, Shaogeng Zeng
Background. The diarrhoeal shellfish poisoning (DSP) toxin is a powerful marine biological toxin. Eating DSP toxin-contaminated mussels will lead to serious gastrointestinal diseases. To this end, a method for the detection of DSP toxins using near-infrared reflectance spectroscopy combined with pattern recognition is proposed. Material and methods. In the range from 950−1700 nm, spectral data of healthy mussels and DSP-contaminated mussels were obtained. To select the optimal band subsets, a band selection algorithm based on model cluster analysis was applied. As distinguishing DSP toxin-contaminated mussels from healthy mussels is a classification problem of imbalanced data, an improved fuzzy support vector machine-based recognition method was proposed. The influence of the parameters of the band selection algorithm and the fuzzy support vector machine on the model performance was analyzed. Results. Compared with the traditional support vector machine, the proposed model has better performance in detecting DSP toxins and is not affected by the imbalance ratio. Its geometric mean value can reach 0.9886 and the detection accuracy can reach 98.83%. Conclusion. The results show that as an innovative, fast and convenient analytical method, near-infrared spectroscopy is feasible for the detection of DSP toxins in mussels.
背景。腹泻贝类中毒(DSP)毒素是一种强效的海洋生物毒素。食用被DSP毒素污染的贻贝会导致严重的胃肠疾病。为此,提出了一种结合模式识别的近红外反射光谱法检测DSP毒素的方法。材料和方法。在950 ~ 1700 nm范围内,获得了健康贻贝和受dsp污染贻贝的光谱数据。为了选择最优波段子集,采用了基于模型聚类分析的波段选择算法。针对DSP毒素贻贝与健康贻贝的识别是一个数据不平衡的分类问题,提出了一种改进的模糊支持向量机识别方法。分析了波段选择算法和模糊支持向量机参数对模型性能的影响。结果。与传统的支持向量机相比,该模型具有更好的DSP毒素检测性能,且不受不平衡比的影响。其几何平均值可达0.9886,检测精度可达98.83%。结论。结果表明,近红外光谱作为一种创新、快速、方便的分析方法,用于贻贝中DSP毒素的检测是可行的。
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引用次数: 0
Effects of heating process on kinetic degradation of anthocyanin and vitamin C on hardness and sensory value of strawberry soft candy 加热过程对花青素和维生素C动力学降解对草莓软糖硬度和感官价值的影响
Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.1133
Minh Tri Nhan, Diep Kim Quyen
1Institute of Food and BioTechnology, Can Tho University, Can Tho City, Vietnam 2Faculty of Agriculture and Natural Source, An Giang University, Long Xuyen City, An Giang Province, Vietnam
1芹苴大学食品与生物技术研究所,芹苴市2安江大学农业与自然资源学院,安江省龙宣市
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引用次数: 0
Optimization of the osmotic dehydration process for improving the quality of vacuum-fried “Vinh Chau” shallots at the pilot stage [pdf] 真空油炸永洲青葱的渗透脱水工艺优化[pdf]
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.2023.1120
N. V. Tai, N. Thuy
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引用次数: 1
Assessment of nutrition and nutritional status parameters in hemodialysis patients 血液透析患者营养及营养状态参数的评估
Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.1136
Roksana Jurczak-Amroziewicz, Julita Reguła, Aneta Wołodkiewicz
1Dietetic Department, The Institute of Sport and Health Studies, State University of Applied Sciences in Koszalin, Koszalin, Poland 2Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poznań, Poland
1波兰科兹扎林国立应用科学大学体育与健康研究所营养系,波兰科兹扎林。2波兰波兹纳齐生命科学大学人类营养与营养学系
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引用次数: 0
Chemical profile and antioxidants property of Eryngium foetidum L. leaves – use of HPLC methods to optimize extracting solvents to be used in functional food development [pdf] 羊角叶的化学性质及抗氧化性能——用高效液相色谱法优化提取溶剂用于功能性食品开发[pdf]
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.2023.1119
S. Kokilananthan, V. Bulugahapitiya, H. Manawadu, C. S. Gangabadage
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引用次数: 0
Comparative elucidation of garlic peeling methods and positioning of quality characteristics using principal component analysis 大蒜去皮方法的比较阐明及质量特征的主成分分析定位
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.1114
Prem Prakash, Kamlesh Prasad
Background. Garlic ( Allium sativum ) peeling is one of the crucial steps in its use and is a significant chal - lenge for maintaining the peeled garlic’s quality. The peeling of garlic on a mass scale is required to produce dehydrated garlic flakes, powder, grits, paste, garlic pickle, and for use as a critical wet spice in various processed products. Materials and methods. Manual peeling (MP), normal water peeling (NWP), hot water peeling (HWP), flame peeling (FP), and lye peeling (LP) methods were assessed for the quality characteristics of peeled garlic cloves based on antioxidant activities (AOA), total phenolic content (TPC), total flavonoid content (TFC), anti-nutritional properties, ascorbic acid (AA), reducing sugar, allicin, and pyruvic acid content. Principal component analysis (PCA) was used to develop the correlations between the garlic peeling methods and the measured parameters. Morphological and Energy Dispersive X-Ray (EDX) analyses were used to verify the difference between the optimized method of peeled garlic over the manually peeled garlic. Results. All peeling methods of garlic resulted in the respective peeled garlic having a pH in the acidic range (6.08–6.14). Reducing sugar is an important component affecting the color of the dehydrated garlic, which was found to be minimal in NWP (275.64 mg/g, fresh weight) and LP (335.26 mg/g, fresh weight). Allicin content, pyruvic acid, TPC, TFC, and AOA were similar for manually and lye-peeled garlic. MP garlic had the highest levels of anti-nutritional factors, such as saponin, phytic acid, and tannin. Whereas, the minimum level of saponin was found in HWP garlic. Phytic acid and tannin content were found to be minimum in LP and FP garlic. Multivariate analysis showed that the estimated chemical attributes were found to have the maximum number of positive correlations with the LP methods of garlic. At the same time, it also showed less correlation with anti-nutritional properties and a negative correlation with reducing sugar. Thus, the lye peeling (LP) method may be applied commercially for garlic peeling on a commercial scale due to it main - taining the quality characteristics; the morphological and EDX analyses also support this finding. Conclusions. LP method was found to be the best method of peeling since it maintained the allicin content, antioxidant properties, and reduced anti-nutritional properties and doesn’t reduce sugar.
背景。大蒜去皮是大蒜加工的关键步骤之一,也是保证大蒜去皮后品质的一大难题。大蒜的大规模脱皮是生产脱水大蒜片、大蒜粉、大蒜粉、大蒜酱、大蒜泡菜以及在各种加工产品中用作关键的湿香料的必要条件。材料和方法。以大蒜的抗氧化活性(AOA)、总酚含量(TPC)、总黄酮含量(TFC)、抗营养性能、抗坏血酸(AA)、还原糖、蒜素和丙酮酸含量为指标,对人工去皮(MP)、普通水去皮(NWP)、热水去皮(HWP)、火焰去皮(FP)和碱液去皮(LP)方法进行了品质评价。采用主成分分析(PCA)建立大蒜去皮方法与测量参数之间的相关性。利用形态学和能量色散x射线(EDX)分析验证了优化的大蒜去皮方法与人工去皮方法的差异。结果。所有的大蒜去皮方法都使去皮后的大蒜pH值在酸性范围内(6.08-6.14)。还原糖是影响脱水大蒜颜色的重要成分,在NWP (275.64 mg/g,鲜重)和LP (335.26 mg/g,鲜重)中还原糖含量最低。蒜素含量、丙酮酸、TPC、TFC、AOA与手工去皮大蒜相当。MP大蒜含有最高水平的抗营养因子,如皂苷、植酸和单宁。而以HWP大蒜中皂苷含量最低。LP和FP大蒜的植酸和单宁含量最低。多变量分析结果表明,所得化学属性与LP方法的正相关数最多。同时,它还显示出与抗营养特性的相关性较小,与还原糖呈负相关。因此,碱液脱皮法保持了大蒜的品质特性,可在商业规模上应用于大蒜脱皮;形态学和EDX分析也支持这一发现。结论。LP法能保持大蒜素含量、抗氧化性能、降低抗营养性能,且不降糖,是最佳的去皮方法。
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引用次数: 0
Phase diagram combined with improved fuzzy support vector machine for rapid and nondestructive detection of Diarrhetic shellfish poisoning [pdf] 相图结合改进模糊支持向量机的腹泻性贝类中毒快速无损检测[pdf]
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.2023.1124
Wei Jiang, Yao Liu, Fu Qiao, Zhongyan Liu, Jianfang Xiong, Shaogeng Zeng
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引用次数: 0
Physical characteristics and the effect of soaking on mineral concentration in rice varieties associated with human health risks [pdf] 与人类健康风险有关的水稻品种的物理特性及浸泡对矿物质浓度的影响[pdf]
IF 1.5 Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.2023.1117
R. Mustafa
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引用次数: 0
EFFECT OF DRYING REGIMES ON THE QUALITY AND SAFETY OF ALTERNATIVE PROTEIN SOURCE (Tenebrio molitor L.) [pdf] 干燥制度对替代蛋白质来源质量和安全性的影响(黄粉虫)[pdf]
Q3 Agricultural and Biological Sciences Pub Date : 2023-06-30 DOI: 10.17306/j.afs.2023.1130
Desislava Vlahova-Vangelova, Desislav Balev, Nikolay Kolev, Velizar Stoyanov
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引用次数: 0
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