Some Mechanical Properties of Soursop Seeds and Kernels at Different Moisture Contents under Compressive Loading

Oniya, O. O.; Oloyede, C.T.; Akande, F. B.; Adebayo, Ademola Oyejide; Onifade, T. B.

doi:10.19026/rjaset.12.2338

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…The principal axial dimensions (length [ L ], width [ W ], and thickness [ T ]) of sweetsop seed were measured from randomly selected 100 seeds through a digital Vernier caliper (GMC‐20; accuracy = 0.01 accuracy). The seed mean diameters (arithmetic, A md , and geometric, G md ), sphericity ( S ty ), and surface area ( S A ) were determined using Equations (4–7), respectively (Meghwal et al, 2024; Oniya et al, 2016).

{A}_{\mathrm{md}}=\frac{L+W+T}{3}

{G}_{\mathrm{md}}={(LWT)}^{1/3}

{S}_{\mathrm{ty}}=\frac{G_{\mathrm{md}}}{L}

$$ {S}_{\mathrm{A}}=\pi {\left({G}_{\mathrm{md}}\right)}^2.

…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Moisture‐modulated thermo‐physical analysis of sweetsop seed (Annona squamosa L.): A potential biofuel feedstock plant

Oloyede,

Jekayinfa,

Adebonojo

et al. 2024

J Food Process Engineering

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Sweetsop seed holds significant economic value as an oil seed, with ca. 25% oil content that finds applications as a feedstock for energy generation. The moisture‐modulated thermophysical properties of the seed were determined at varying moisture contents (8.0%–32.5%). Physical properties (length [L], width [W], thickness [T], arithmetic [Amd], and geometric mean diameters [Gmd], sphericity [Sty], surface area [SA], and bulk density [ρd]) were determined using standard methods while the thermal properties (specific heat capacity [SHC], thermal conductivity [Tcd], and thermal diffusivity [Tdf]) were analyzed using a TEMPOS thermal analyzer. The results showed that the seed L, W, T, Amd, and Gmd, Sty, SA, and ρd ranged from 13.22–14.95 mm, 7.32–7.95 mm, 5.25–5.35 mm, 8.60–8.75 mm, and 7.96–8.11 mm, 0.61–0.60, 196.72–205.28 mm2, and 210.00–270.00 kg m−3, respectively. The SHC, Tcd, and Tdf ranged from 0.14–0.52 J kg−1 K−1, 0.17–0.35 W m−1 K−1, and 0.10–0.20 m2 s−1, respectively. The ANOVA results indicated that the thermo‐physical properties studied were significantly (p ≤ 0.05) affected by moisture content. By utilizing the determined properties, engineers can develop efficient machines to harness the economic potential of sweetsop seed oil in various industries, including biofuel generation.Practical applicationsThe thermal and physical properties of sweetsop seed are needed by agricultural and mechanical engineers and food scientists to explore the potential application of the seed and the seed product, like oil for industrial and commercial purposes. Data obtained on the specific heat capacity of the seed would be valuable in designing of heating compartment of an oil expeller, thermal conductivity and diffusivity would be needed to design drying systems that balance efficiency and quality preservation, facilitate efficient removal of moisture from the seed while minimizing the risk of over‐drying or under‐drying. Thus, affects the design of the seed storage systems. Data on the seed axial dimensions, sphericity, mean diameters, surface area, and bulk density would be useful in the design and fabrication of agricultural equipment like sheller, grinder, packaging machines, discharge chute, aperture, and planter, to ensure proper seed placement, flow and to determine machine throughput capacity.

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{A}_{\mathrm{md}}=\frac{L+W+T}{3}

{G}_{\mathrm{md}}={(LWT)}^{1/3}

{S}_{\mathrm{ty}}=\frac{G_{\mathrm{md}}}{L}

$$ {S}_{\mathrm{A}}=\pi {\left({G}_{\mathrm{md}}\right)}^2.

…”

Section: Methodsmentioning

confidence: 99%

“…The seed mean diameters (arithmetic, A md , and geometric, G md ), sphericity (S ty ), and surface area (S A ) were determined using Equations (4-7), respectively (Meghwal et al, 2024;Oniya et al, 2016).…”

Section: Analysis Of Physical Properties Of Sweetsop Seedmentioning

confidence: 99%

Moisture‐modulated thermo‐physical analysis of sweetsop seed (Annona squamosa L.): A potential biofuel feedstock plant

Oloyede,

Jekayinfa,

Adebonojo

et al. 2024

J Food Process Engineering

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“…One portion was left as unshelled seeds while the other was manually shelled to obtain the kernels. The initial moisture contents of both seeds and kernels were determined using oven drying method at 103 ± 2°C as described by ASABE S352.2 (2001) and applied by Okoro and Osunde (2013), Oloyede et al (2015) and Oniya et al (2016) for soursop seeds. 5.0 g of each sample were weighed and put in three separate cans of known weights.…”

Section: Methodsmentioning

confidence: 99%

Thermal properties of soursop seeds and kernels

Christopher¹,

Fatai²,

Kazeem³

et al. 2017

Res. Agric. Eng.

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Oloyede C.T., Akande F.B., Oriola K.O., Oniya O.O. (2017): Thermal properties of soursop seeds and kernels. Res. Agr. Eng., 63: 79-85.The thermal properties of soursop seeds and kernels were determined as a function of moisture content, ranged from 8.0 to 32.5% (d.b.). Three primary thermal properties: specific heat capacity, thermal conductivity and thermal diffusivity were determined using Dual-Needle SH-1 sensors in KD2-PRO thermal analyser. The obtained results shown that specific heat capacity of seeds and kernels increased linearly from 768 to 2,131 J/kg/K and from 1,137 to 1,438 J/kg/K, respectively. Seed thermal conductivity increased linearly from 0.075 to 0.550 W/m/K while it increased polynomially from 0.153 to 0.245 W/m/K for kernel. Thermal diffusivity of both seeds and kernels increased linearly from 0.119 to 0.262 m 2 /s and 0.120 to 0.256 m 2 /s, respectively. Analysis of variance results showed that the moisture content has a significant effect on thermal properties (p ≤ 0.05). These values indicated the ability of the material to retain heat which enhances oil recovery and can be used in the design of machine and selection of suitable methods for their handling and processing.

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“…The moisture content of the seeds was measured by using the hot air (oven) method set at 103 ±2 °C for 72 hours. Four samples were heated in the oven until there was no change in weight using ASABE S352 method and applied by Okoro and Osunde [2]; Abodenyi, et al [3]; Oloyede, et al [4]; Oniya, et al [5] for sour sop seeds.…”

Section: Moisture Contentmentioning

confidence: 99%

Modelling the Drying Kinetics of Monkey Cola (Cola Parchycarpa)

Olabinjo

Adeniyan

2020

Scientific Modelling and Research

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The need for storage is one of the crucial factors considered in food preservation, due to deterioration and spoilage of food materials. Drying as a means of preservation has been adopted in processing of food materials by exposing the material to heat to heat for the reduction of moisture content to the level unfavorable for mold growth. Monkey cola is a nutritional indigenous seed known with its pleasant taste and medicinal values. Moisture kinetics and drying time were used to examine the drying characteristics of Monkey cola seed. Monkey kola seed and a suitable mathematical model was developed by fitting the drying data gotten from the open sun drying and oven drying of monkey kola at different temperatures (40, 50, 65, 60 and 70 0 C) to properly predict the drying characteristics of the seed using statistical tools. This gives the highest R ₂ and lowest RMSE and provided the longterm performance of correlation for each degree of temperature. The best model fitted for each temperature at 40, 50, 65, 60 and 70 0 C for oven drying were Diffusion approach, Verma, Hii, and Midili Kucuk models, respectively, and Midili Kucuk model, for open sun drying. Temperature dependence of the effective diffusivity (Deff) coefficient was expressed by an Arrhenius type relationship and the activation energy (Ea) was determined.

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Some Mechanical Properties of Soursop Seeds and Kernels at Different Moisture Contents under Compressive Loading

Cited by 5 publications

References 11 publications

Moisture‐modulated thermo‐physical analysis of sweetsop seed (Annona squamosa L.): A potential biofuel feedstock plant

Moisture‐modulated thermo‐physical analysis of sweetsop seed (Annona squamosa L.): A potential biofuel feedstock plant

Thermal properties of soursop seeds and kernels

Modelling the Drying Kinetics of Monkey Cola (Cola Parchycarpa)

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