Chemical Composition of Date Pits: Potential to Extract and Characterize the Lipid Fraction

Ahmad, Asif; Imtiaz, Hifsa

doi:10.1007/978-3-030-11345-2_4

Cited by 11 publications

(8 citation statements)

References 88 publications

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“…The addition of date pit flour by 5% (P2) and 10% (P4) to the diet increased shape index. It can be seen that date pit contains nutrients such as protein, amino acids, carbohydrates, and several other mineral sources [5]. Date pit contain high enough amino acids such as arginine, glutamic, and aspartic acid, so they can help the egg formation [19].…”

Section: Discussionmentioning

confidence: 99%

“…The results of this study are different from the research by Mohebbifar et al [22] the use of 24% date pit flour and enzyme supplementation can decrease yolk color with a value of 6.58 to 5.92 roche, which is most likely due to the high carotenoid content of corn in the research conducted. Date pits are a source of important vitamins such as A (β carotenoids), C (ascorbic acid), and B complex (thiamine, niacin, and riboflavin) [5,14]. According to Sjofjan et al [23], the increase in yolk color is due to carotene content in eggs, while carotene consists of xanthophyll pigments.…”

Section: Discussionmentioning

confidence: 99%

“…Date pits contain several vitamins such as A (βcarotene), C, and B complex. In addition, date is an excellent source of energy and high in sugar content [5]. Date pits also contain phenolic compounds that can increase egg weight, hen day production, egg mass, Haugh Unit, and shell thickness [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of date (Phoenix dactylifera L.) pit flour as alternative feed ingredients on egg quality of laying hens

Karina

Sjofjan²,

Susilorini³

et al. 2022

Livest. Anim. Res.

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Objective: The aims this study of evaluate the effect of use date (Phoenix dactylifera L.) pits as alternative feed ingredient on egg quality of laying hens.Methods: This study was designed to consist of 5 treatments and 5 replications using a Completely Randomized Design (CRD) and if the effect was significant (P>0.05) or very significant (P>0.01), then Duncan's Multiple Distance Test (DMRT) was continued. The treatment in this research was the use of date pit flour with different concentration levels, namely 0% (P0), 2.5% (P1), 5% (P2), 7.5% (P3), and 10% (P4).Results: The results showed that the use of date pit flour could increase egg weight, shell weight, shape index, and yolk color.Conclusions: The use of date pit flour (Phoenix dactylifera L.) up to 10% level was used to improve the egg quality of laying hens.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of date (Phoenix dactylifera L.) pit flour as alternative feed ingredients on egg quality of laying hens

Karina

Sjofjan²,

Susilorini³

et al. 2022

Livest. Anim. Res.

View full text Add to dashboard Cite

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“…In this study, PLA in filament form was purchased from Shanghai Nuolei CNC Router Equipment Co., Ltd., Shanghai, China, and date pits were produced from Khoas dates, which are available in the local market. The composition of Kholas dates is 67.6–74.2% dietary fiber, 5.7–8.8% lipids, 4.8–6.9% protein, 8.6–12.5% moisture, 2.4–4.7% carbohydrates and 0.8–1.1% ash [ 42 ]. The process of producing date pits is started by hard washing to remove any contaminations prior to grinding and obtaining the green powder.…”

Section: Materials and Experimental Workmentioning

confidence: 99%

Adaptive Neuro-Fuzzy-Based Models for Predicting the Tribological Properties of 3D-Printed PLA Green Composites Used for Biomedical Applications

2023

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Tribological performance is a critical aspect of materials used in biomedical applications, as it can directly impact the comfort and functionality of devices for individuals with disabilities. Polylactic Acid (PLA) is a widely used 3D-printed material in this field, but its mechanical and tribological properties can be limiting. This study focuses on the development of an artificial intelligence model using ANFIS to predict the wear volume of PLA composites under various conditions. The model was built on data gathered from tribological experiments involving PLA green composites with different weight fractions of date particles. These samples were annealed for different durations to eliminate residual stresses from 3D printing and then subjected to tribological tests under varying normal loads and sliding distances. Mechanical properties and finite element models were also analyzed to better understand the tribological results and evaluate the load-carrying capacity of the PLA composites. The ANFIS model demonstrated excellent compatibility and robustness in predicting wear volume, with an average percentage error of less than 0.01% compared to experimental results. This study highlights the potential of heat-treated PLA green composites for improved tribological performance in biomedical applications.

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“…The date pits used in this study were extracted from Kholas dates. Previous research has shown that the seeds of Kholas dates consist of 4.8–6.9% protein, 2.4–4.7% carbohydrates, 8.6–12.5% moisture, 67.6–74.2% dietary fiber, 5.7–8.8% lipids, and 0.8–1.1% ash [ 29 ].…”

Section: Experimental Work Descriptionmentioning

confidence: 99%

Investigating the Mechanical Properties of Annealed 3D-Printed PLA–Date Pits Composite

2023

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Biomedical applications are crucial in rehabilitation medicine, assisting individuals with disabilities. Nevertheless, materials failure can sometimes result in inconvenience for users. Polylactic Acid (PLA) is a popular 3D-printed material that offers design flexibility. However, it is limited in use because its mechanical properties are inadequate. Thus, this study introduces an artificial intelligence model that utilizes ANFIS to estimate the mechanical properties of PLA composites. The model was developed based on an actual data set collected from experiments. The experimental results were obtained by preparing samples of PLA green composites with different weight fractions of date pits, which were then annealed for varying durations to remove residual stresses resulting from 3D printing. The mechanical characteristics of the produced PLA composite specimens were measured experimentally, while the ANSYS model was established to identify the composites’ load-carrying capacity. The results showed that ANFIS models are exceptionally robust and compatible and possess good predictive capabilities for estimating the hardness, strength, and Young’s modulus of the 3D-printed PLA composites. The model results and experimental outcomes were nearly identical.

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Chemical Composition of Date Pits: Potential to Extract and Characterize the Lipid Fraction

Cited by 11 publications

References 88 publications

Effect of date (Phoenix dactylifera L.) pit flour as alternative feed ingredients on egg quality of laying hens

Effect of date (Phoenix dactylifera L.) pit flour as alternative feed ingredients on egg quality of laying hens

Adaptive Neuro-Fuzzy-Based Models for Predicting the Tribological Properties of 3D-Printed PLA Green Composites Used for Biomedical Applications

Investigating the Mechanical Properties of Annealed 3D-Printed PLA–Date Pits Composite

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