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Development of Chili Sauce from Pineapple and Banana Fortified with Eggshell Calcium 菠萝香蕉加蛋壳钙辣椒酱的研制
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.012
C. Teangpook, Panita Kongsombat, Maneeploy Matum, Nunchanok Nuntachai
Sauce is a popular condiment product. Thailand is a good source of pineapples and bananas, which are high in nutrients. Eggshell is also a source of calcium. This research developed a sauce from pineapple var. Phu Lae mixed with ripened banana var. Nam Wah and supplemented with calcium from eggshells. The suitable quantities of pineapple, banana and pineapple peel and core extract were studied based on a mixture design. The physical and chemical properties, sensory evaluation, three suitable calcium levels (0, 2, and 4%) and two pasteurization temperature levels (80-85ºC and 90-95ºC) were studied. Response surface methodology was applied and showed that all 3 components had significant effects on the sauce quality at the 0.05 level. The optimum product comprised 25.27% pineapple, 0.87% banana, 13.86% pineapple peel and core extract, 16% pickled red chili peppers, 11% pickled garlic bulbs, 26% sucrose, 2% salt, 1% vinegar, 2.12% water, and 1.88% calcium from the powdered eggshell. The product had an orange color, a pH of 4.20, and 1.61% acidity. This sauce was high in nutrients: 41.03% carbohydrate, 14.90% protein, 1.98% fat, 0.453% eggshell calcium, and 14.03 mg/kg total vitamin C. The antioxidant activity was 22.94 mg ascorbic acid/g. The optimum pasteurization temperature was 80-85ºC for 15 min. The sauce was moderately liked by panelists and has the potential to be processed into a low-cost commercial condiment.
酱汁是一种受欢迎的调味品。泰国是菠萝和香蕉的良好来源,它们营养丰富。蛋壳也是钙的来源。本研究以凤梨为原料,配以成熟香蕉南华为原料,辅以蛋壳钙,研制出一种酱汁。基于混合物设计,研究了菠萝、香蕉和菠萝皮及果核提取物的适宜用量。研究了物理和化学性质、感官评价、三个合适的钙水平(0、2和4%)和两个巴氏灭菌温度水平(80-85ºC和90-95ºC)。应用响应面法,结果表明,三种成分对酱汁质量的影响均在0.05水平。最佳产品由25.27%的菠萝、0.87%的香蕉、13.86%的菠萝皮和果核提取物、16%的腌制红辣椒、11%的腌制大蒜鳞茎、26%的蔗糖、2%的盐、1%的醋、2.12%的水和1.88%的蛋壳粉钙组成。该产品呈橙色,pH值为4.20,酸度为1.61%。该酱营养成分高:碳水化合物41.03%,蛋白质14.90%,脂肪1.98%,蛋壳钙0.453%,总维生素C 14.03mg/kg。抗氧化活性为22.94mg抗坏血酸/g。最佳巴氏杀菌温度为80-85ºC,持续15分钟。该酱汁受到小组成员的适度喜爱,有可能被加工成低成本的商业调味品。
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引用次数: 0
Impact of Particulate Matter Concentration on Human Health: A Glance of Review 颗粒物浓度对人体健康的影响:综述
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.011
Narasipuram Venkata Krishna Prasad, N. Madhavi, Mallemadugula Sai Surya Rama Krishna NagendraSarma, T. Anil Babu
Particulate matter (PM) concentration and its impact on human health attracted a lot of attention globally during the recent COVID-19 outbreak. Monitoring and analysis of PM concentration was being done but not to the extent required on the global scale. The covid epidemic caused more emphasis on the monitoring and analysis of PM concentrations due to their impact on the human respiratory system. Thus, an attempt was made to review the monitoring, analysis, and health effects of exposure to PM. It was reported that PM2.5 concentrations not only impact human health via the respiratory system but also lead to Type II diabetes. This paper reviewed some of the mechanisms involved in the development of Type II diabetes on exposure to PM2.5, and the impact of particulate matter on respiratory, cardiovascular, and neurological disorders. Furthermore, carcinogenicity effects on humans of exposure to PM in the atmosphere were briefly review.
在新冠肺炎疫情期间,颗粒物浓度及其对人体健康的影响引起了全球广泛关注。正在对PM浓度进行监测和分析,但没有达到全球范围所需的程度。由于PM浓度对人体呼吸系统的影响,covid - 19疫情使人们更加重视PM浓度的监测和分析。因此,本文试图对暴露于PM的监测、分析和健康影响进行审查。据报道,PM2.5浓度不仅会通过呼吸系统影响人体健康,还会导致II型糖尿病。本文综述了暴露于PM2.5下II型糖尿病发展的一些机制,以及颗粒物对呼吸、心血管和神经系统疾病的影响。此外,还简要综述了大气中PM暴露对人体的致癌性影响。
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引用次数: 0
Effect of Fiber Morphology and Elemental Composition of Ananas comosus Leaf on Cellulose Content and Permittivity 红豆叶纤维形态和元素组成对纤维素含量和介电常数的影响
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.002
N. Abu Talip Yusof, N. Zainol, Nor Hazwani Aziz, Mohamad Shaiful Abdul Karim
The fiber morphology and elemental composition of pineapple leaf fibers were analyzed to understand their effect on the cellulose content and permittivity value. Cellulose fiber was extracted from pineapple leaf via the alkaline treatment method, and the content was determined using the Kurschner-Hanack method. The permittivity value of the developed cellulose fiber was measured based on the waveguide technique in the G-band. The surface morphology of the developed fiber was examined with scanning electron microscopy. Meanwhile, energy dispersive X-ray (EDX) spectroscopy was used to identify the elemental composition of the pineapple leaf fibers. The findings were that the cellulose fibers with the least diameter and distance between fibers exhibited the highest permittivity value, which was 1.85. The EDX analysis demonstrated that carbon was the commonest elemental in all fibers, and was 55 wt.% of the total element composition. Furthermore, the results showed that the permittivity value increased as the carbon composition increased, and decreased as the oxygen composition increased. Hence, the morphological and elemental studies of the cellulose fiber are useful in determining the permittivity value of the cellulose fiber for material development. The high permittivity value of the pineapple leaf fibers is believed to have great potential for use in electronic components.
分析了菠萝叶纤维的形态和元素组成对纤维素含量和介电常数值的影响。采用碱法提取菠萝叶纤维素纤维,采用Kurschner-Hanack法测定其含量。利用波导技术在g波段测量了纤维素纤维的介电常数值。用扫描电子显微镜观察纤维的表面形貌。同时,利用能量色散x射线(EDX)光谱对菠萝叶纤维的元素组成进行了鉴定。结果表明,纤维直径和纤维间距最小的纤维素纤维的介电常数值最高,为1.85。EDX分析表明,碳是所有纤维中最常见的元素,占总元素组成的55wt .%。电介率随碳组分的增加而增大,随氧组分的增加而减小。因此,纤维素纤维的形态和元素研究有助于确定纤维素纤维的介电常数值,为材料开发提供依据。菠萝叶纤维的高介电常数值被认为在电子元件中有很大的应用潜力。
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引用次数: 3
Dewetting Behavior of PS-ZnO Thin Film Coated on Ultrathin Au Layer Grown on Si Substrate Si基底上超薄Au层上PS-ZnO薄膜的脱湿行为
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.005
N. Pangpaiboon, Wararak Kotpech, Thanaboon Ketkaew, B. Arthibenyakul, Natt Klaewklar, Varisara Chanprasopchai, Chayatid Sutthi, Komsun Lapawae, K. Sinthiptharakoon
Electronic packaging by coating device component surfaces with polymer thin film is an important step to protect the components from harsh environments. However, along with the device miniaturization to improve its performance, scaling down the coating film can cause a decrease in film durability. Therefore, the thermal stability of pure polystyrene (PS) and zinc oxide-incorporated polystyrene (PS-ZnO) nano-thin films coated on gold (Au) layer with different nano thicknesses on Si substrate were examined to determine the smallest Au thickness at which the polymer films would exhibit optimal stability, and to investigate the effects of the Au component on film resistance to thermal dewetting. With the requirement of having a transparent and conductive Au electrode, the thickness of 20 nm was identified as the optimal value for the Au layer on which both the PS and PS-ZnO films could withstand environment temperatures at 150oC for up to a few hours while the PS-ZnO film exhibited outstanding thermal stability for over 10 days. Such excellent durability was ascribed to the physio-chemical framework in which the coating film can experience forces from the coated layers which potentially affect the mobility of polymer chains. Considering the increase of Au content and Au film roughness with increasing Au film thickness and realizing the similar surface adhesion forces of these Au layers, several possible influences of the Au material on the stability of PS matrix were discussed. The findings provide an insight into heat-resistant coatings for nano-thin Au layers grown on Si, which may also be of benefit in the design and understanding of relevant electronic protection and functional polymeric coatings.
在电子器件表面涂覆聚合物薄膜是保护器件免受恶劣环境影响的重要步骤。然而,随着器件小型化以提高其性能,缩小涂层薄膜会导致薄膜耐久性下降。因此,研究了在Si衬底上涂覆不同纳米厚度的金(Au)层的纯聚苯乙烯(PS)和氧化锌掺杂聚苯乙烯(PS- zno)纳米薄膜的热稳定性,确定了聚合物薄膜在最小Au厚度下表现出最佳稳定性,并研究了Au组分对薄膜抗热脱湿性的影响。在具有透明导电的Au电极的要求下,20 nm的Au层厚度被确定为最佳值,PS和PS- zno薄膜都可以在此层上承受150℃的环境温度长达数小时,而PS- zno薄膜则表现出10天以上的优异热稳定性。这种优异的耐久性归功于涂层的物理化学框架,在该框架中,涂层可以承受来自被涂层的力,这些力可能会影响聚合物链的移动性。考虑到随着Au膜厚度的增加,Au含量和Au膜粗糙度的增加,并实现了这些Au层的表面附着力相似,讨论了Au材料对PS基体稳定性的几种可能影响。这些发现为在Si上生长的纳米薄Au层的耐热涂层提供了见解,这也可能有助于设计和理解相关的电子保护和功能聚合物涂层。
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引用次数: 0
Screening and Characterization of Potential Plant Growth-Promoting Endophytes of Wheat (Triticum aestivum) 小麦(Triticum aestivum)潜在促生长内生植物的筛选与鉴定
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.006
Shashank Awasthi, N. Wadhwa
Wheat is the principal and most consumed grain in the world. Biotic factors are known to affect the growth of wheat plants and grain yield worldwide. The aim of the present study was to isolate potential plant growth promoting endophytes. In this study, bacterial endophytes from germinating wheat seeds were isolated, characterized, and screened in vitro for PGP traits and then checked for their effects on germination and production of indole acetic acid (IAA), ACC deaminase activity, siderophore production, phosphate solubilization, HCN production, extracellular enzyme production and biocontrol potential. High potential PGPRs were identified by 16 s rRNA sequencing and these strains are Enterobacter asburiae, Bacillus licheniformis, Achromobacter mucicolens, and Pseudomonas fulva. Antagonistic activity results showed that B. licheniformis, and A. mucicolens could reduce the growth of the fungal phytopathogens. Alternaria alternata and Fusarium sp. also produced high levels of indole acetic acid (IAA) with a range of 27.8±0.30 µg/mL, 31.2±0.36, 21±0.20, respectively. Seed germination and development studies showed that superior increase of root and shoot length and weight were observed when compared with uninoculated control plants. The study revealed that the isolated endophytes could be used as plant growth promotion for better plant yield.
小麦是世界上消费量最大的主要粮食。众所周知,生物因子会影响全世界小麦植株的生长和粮食产量。本研究的目的是分离潜在的促进植物生长的内生菌。本研究从发芽的小麦种子中分离、鉴定和筛选细菌内生菌的PGP特性,然后检查它们对发芽和吲哚乙酸(IAA)产生、ACC脱氨酶活性、铁载体产生、磷酸盐溶解、HCN产生、胞外酶产生和生防潜力的影响。通过16s rRNA测序鉴定了高潜力的PGPR,这些菌株是asburiae肠杆菌、地衣芽孢杆菌、粘液无色杆菌和黄假单胞菌。拮抗活性结果表明,地衣芽孢杆菌和粘液芽孢杆菌均能抑制病原真菌的生长。Alternaria alternata和Fusarium sp.也产生高水平的吲哚乙酸(IAA),其范围分别为27.8±0.30µg/mL、31.2±0.36和21±0.20。种子发芽和发育研究表明,与未接种的对照植物相比,观察到根和地上部长度和重量的显著增加。研究表明,分离的内生菌可以作为植物生长促进剂,提高植物产量。
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引用次数: 0
Sequencing Approaches for Understanding the Pathogenic Features in Leptospira Genome 了解钩端螺旋体基因组致病特征的测序方法
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.009
Ramyadevi Veerabahu, V. Ravishankar, Eshaa Umashankar
Leptospirosis is a zoonotic illness caused by a bacterial spirochaete belonging to the genus Leptospira that induces renal failure in humans. This bacterium has high pathogenicity and can even cause death. As a result, research into the pathogenic mechanism of this organism is essential. Sequencing can be performed to understand the evolution and characteristics of an organism. Sequencing technologies like Sanger sequencing, Illumina sequencing, and recent technologies like MinION nanopore sequencing can be performed to study the whole genome of leptospiral strains. Based on whole genome sequencing, pathogenic characteristics and pathways involved during disease infection can be investigated. Identification of pathogenic features in the whole genome of Leptospira sp. may enable certain gene modifications or the development of potential vaccines to eradicate the disease. This review is an overview of various sequencing approaches and highlights the comparison of genome features present in pathogenic leptospires and saprophytic leptospires.
钩端螺旋体病是一种由钩端螺旋菌属细菌螺旋体引起的人畜共患疾病,可导致人类肾功能衰竭。这种细菌具有很高的致病性,甚至可以导致死亡。因此,研究这种生物的致病机制至关重要。测序可以用来了解生物体的进化和特征。Sanger测序、Illumina测序等测序技术以及MinION纳米孔测序等最新技术可以用于研究钩端螺旋体菌株的全基因组。基于全基因组测序,可以研究疾病感染过程中的致病特征和途径。钩端螺旋体全基因组致病特征的鉴定可能使某些基因修饰或开发潜在的疫苗来根除该疾病。这篇综述概述了各种测序方法,并强调了致病性钩端螺旋体和腐生性钩端旋体基因组特征的比较。
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引用次数: 0
Proteolytic Homeostasis in the Tissue of the Spleen and the Heart of Rats Injected with the Venom of Vipera berus berus and Vipera berus nikolskii 大鼠脾脏和心脏组织蛋白水解稳态的研究
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.015
Mariia Palamarchuk, Anna Bobr, A. Mudrak, I. Gunas, O. Maievskyi, I. Samborska, T. Vovk, T. Halenova, N. Raksha, O. Savchuk, L. Ostapchenko
Species of the subfamily Viperinae, known to be Old World vipers, Vipera berus berus and Vipera berus nikolskii, are highly distributed in Europe and show their venomous effect, leading to proteolysis, thrombocytopenia, neurotoxicity, and haemorrhage state in susceptible organism. A shift in the protein balance underlies the envenoming in the targeted organs and in the whole organism. Thus, a study of the influence of the V. berus berus and V. berus nikolskii venoms on the protein systems of the spleen and the heart was conducted in order to single out the impact of toxins on the metabolic pathways in the targeted organs. The study included an investigation of the amount of total proteins, and their redistribution and connection with toxicity. The results prove the assumption of proteolytic activation and the emergence of the toxicity state, showing a decrease in the level of proteins, changes in protein composition, redistribution of enzymatic profiles, and an increased level of low molecular weight molecules.
Viperia亚科的物种,被称为旧大陆的Vipera berus berus和Vipera berus nikolskii,在欧洲高度分布,并显示出其毒性作用,导致易感生物的蛋白水解、血小板减少、神经毒性和出血状态。蛋白质平衡的变化是靶器官和整个生物体环境的基础。因此,为了找出毒素对靶器官代谢途径的影响,研究了小檗和尼科尔斯基小檗毒素对脾脏和心脏蛋白质系统的影响。这项研究包括对总蛋白质的数量、它们的重新分布以及与毒性的联系进行调查。结果证明了蛋白水解激活的假设和毒性状态的出现,显示出蛋白质水平的降低、蛋白质组成的变化、酶谱的重新分布和低分子量分子水平的增加。
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引用次数: 0
The Effect of Annealing Treatment on WO3 Thin Film Prepared by Reactive DC Magnetron Sputtering for Photo-electrochemical Water Splitting Application 退火处理对反应性直流磁控溅射制备WO3薄膜光电分解水的影响
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.010
Tienthong Yuangkaew, Chatchai Ponchiyo, P. Nuchuay, V. Patthanasettakul, P. Eiamchai, N. Nuntawong, M. Horprathum, S. Limwichean
In this work, WO3 thin films were fabricated by reactive DC magnetron sputtering, and then thermally annealed at 400°C for 2 h under air, low vacuum and high vacuum. After the annealing treatments, the morphology and crystallinity of the WO3 thin films were observed using FE-SEM, GI-XRD and Raman spectroscopy. The optical properties were analyzed by UV-Vis spectroscopy. The results showed the decrease of film thickness under different annealing conditions. In addition, the annealing conditions also affected the crystalline structure at diffraction planes (200) and (002). The transmittance of the WO3 thin films revealed that the annealing treatment at high vacuum led to lower transparency. Furthermore, the WO3 thin film annealed under air produced the highest PEC efficiency. Therefore, this approach offers an alternative strategy for photoelectrochemical (PEC) water splitting application.
在本工作中,通过反应直流磁控溅射制备了WO3薄膜,然后在空气、低真空和高真空下在400°C下热退火2小时。退火处理后,使用FE-SEM、GI-XRD和拉曼光谱观察WO3薄膜的形态和结晶度。用紫外-可见光谱法对其光学性质进行了分析。结果表明,在不同的退火条件下,薄膜厚度减小。此外,退火条件还影响衍射平面(200)和(002)处的晶体结构。WO3薄膜的透射率表明,在高真空下的退火处理导致较低的透明度。此外,在空气下退火的WO3薄膜产生了最高的PEC效率。因此,这种方法为光电化学(PEC)水分解应用提供了一种替代策略。
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引用次数: 0
Thermoelectric Prediction from Material Descriptors Using Machine Learning Technique 利用机器学习技术从材料描述符进行热电预测
Q3 Agricultural and Biological Sciences Pub Date : 2023-04-19 DOI: 10.55003/cast.2023.06.23.014
Pakawat Sungphueng, K. Amnuyswat
In this work, we employed a machine learning framework to predict the thermoelectric power factors of materials based on their composition and structure. To generate a broad range of materials for analysis, we sourced an existing dataset from the Materials Project database. The electronic transport properties, which serve as the output variables, were obtained from the same database via a Boltzmann transport theory calculation beyond ab-initio method. These properties were used to generate input data, or material descriptors, which rely solely on atomic information and crystal structure without recourse to density functional theory calculations. The descriptors were transformed into numerical features using the open-source software Matminer. Non-linear machine learning regression models were trained and tested on the transformed datasets, and their performance was evaluated. The optimized random forest model produced the most accurate predictions, with a yield of 88%. The ultimate goals of this research were to develop material selection strategies that bypass the need for self-consumption in density functional theory calculations, and to demonstrate the potential of machine learning models to describe the thermoelectric properties of existing materials datasets.
在这项工作中,我们采用了一个机器学习框架,根据材料的组成和结构来预测材料的热电功率因数。为了生成广泛的分析材料,我们从材料项目数据库中获取了一个现有的数据集。作为输出变量的电子输运性质是通过从头算方法之外的玻尔兹曼输运理论计算从同一数据库中获得的。这些特性被用于生成输入数据或材料描述符,这些数据仅依赖于原子信息和晶体结构,而不依赖于密度泛函理论计算。使用开源软件Matminer将描述符转换为数字特征。在转换后的数据集上对非线性机器学习回归模型进行了训练和测试,并对其性能进行了评估。优化后的随机森林模型产生了最准确的预测,收益率为88%。这项研究的最终目标是开发材料选择策略,绕过密度泛函理论计算中的自我消耗需求,并展示机器学习模型描述现有材料数据集热电特性的潜力。
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引用次数: 0
A Novel Method Using Two-stage Anaerobic Digestion Integrated with Greenhouse Solar Dryer for Increased Biogas Production 两段厌氧消化与温室太阳能干燥器相结合提高沼气产量的新方法
Q3 Agricultural and Biological Sciences Pub Date : 2023-03-02 DOI: 10.55003/cast.2023.05.23.002
Thaithat Sudsuansee, Wanrop Khanthirat, Amin Lawong, S. Sergsiri
Solar energy is infinite and environmental-friendly energy that is widely used in many fields such as solar cells, solar roofs, solar dryers and so on. However, solar energy has never been used in anaerobic digestion processes for biogas production. The use of solar energy may accelerate the biogas reaction to achieve higher gas production rates. Hence, the purpose of this research was to study a two-stage anaerobic digestion system in combination with a greenhouse solar dryer to increase the rate of biogas production. The study consisted of two parts: the first was to study the temperature variations in greenhouse solar dryers using computational fluid dynamic techniques, and the second was to conduct two-stage anaerobic digestion integrated with the greenhouse solar dryer system for biogas production. The results showed that the average temperature and biogas production rate in the integrated two-stage anaerobic digestion system compared to a conventional system increased by 16.2% and 19.69 %, respectively
太阳能是一种无限的环保能源,广泛应用于太阳能电池、太阳能屋顶、太阳能烘干机等领域。然而,太阳能从未用于沼气生产的厌氧消化过程。太阳能的使用可以加速沼气反应以实现更高的气体生产速率。因此,本研究的目的是研究一种两阶段厌氧消化系统与温室太阳能干燥器相结合,以提高沼气产量。该研究由两部分组成:第一部分是使用计算流体动力学技术研究温室太阳能干燥器的温度变化,第二部分是与温室太阳能干燥器系统集成进行两阶段厌氧消化以生产沼气。结果表明,与传统系统相比,一体化两级厌氧消化系统的平均温度和沼气产量分别提高了16.2%和19.69%
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引用次数: 0
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