Investigating crude sesame oil sedimentation and its monitoring using Laser Backscattering Imaging (LBI)
dc.contributor.author | Wu, Zhangkai | |
dc.contributor.author | Romuli, Sebastian | |
dc.contributor.author | Intani, Kiatkamjon | |
dc.contributor.author | Müller, Joachim | |
dc.date.accessioned | 2024-09-03T07:30:33Z | |
dc.date.available | 2024-09-03T07:30:33Z | |
dc.date.issued | 2023 | de |
dc.description.abstract | Sesame oil is a food and energy resource that is not used enough. Sedimentation of crude oil after pressing can remove particles and happens regardless of the producer’s intention. However, sedimentation of crude plant oil and its sensing technology are rarely studied. This research studied crude sesame oil sedimentation and monitored it with low-cost laser backscattering imaging (LBI). In the discontinuous measurement, a 30-day sedimentation was conducted with oil samples sent to the lab LBI system for image capture. A scattering spot and an increasing Tyndall effect along the light path were seen. In the continuous measurement, an LBI system was mounted on a sedimentation tank for 30 days. The sedimentation curve, scattering images, and oil properties were checked. The sedimentation speed was about −7 mm/h, then less than −2 mm/h. The image features correlated well with the sedimentation interface height (R2 = 0.97) when the height was above −100 mm. The oil-particle-related properties (ash content, phosphorus content, carbon residue, and total contamination) dropped by at least 87%, water content decreased by 90%, and the oxidation-related properties (oxidation stability, γ-tocotrienol, δ-tocopherol, γ-tocopherol, and acid value) changed less significantly. The crude sesame oil sedimentation had two stages: diluted and hindered sedimentation. This research can help improve sedimentation tank and LBI system design and prevent unwanted sedimentation. | en |
dc.identifier.uri | https://hohpublica.uni-hohenheim.de/handle/123456789/16219 | |
dc.identifier.uri | https://doi.org/10.3390/app13159013 | |
dc.language.iso | eng | de |
dc.rights.license | cc_by | de |
dc.source | 2076-3417 | de |
dc.source | Applied Sciences; Vol. 13, No. 15 (2023) 9013 | de |
dc.subject | Batch settling curve | |
dc.subject | Laser backscattering imaging | |
dc.subject | Rancidification | |
dc.subject | Sesamum indicum L. | |
dc.subject | Settling tank | |
dc.subject | Turbidity | |
dc.subject.ddc | 660 | |
dc.title | Investigating crude sesame oil sedimentation and its monitoring using Laser Backscattering Imaging (LBI) | en |
dc.type.dini | Article | |
dcterms.bibliographicCitation | Applied sciences, 13 (2023), 15, 9013. https://doi.org/10.3390/app13159013. ISSN: 2076-3417 | |
dcterms.bibliographicCitation.issn | 2076-3417 | |
dcterms.bibliographicCitation.issue | 15 | |
dcterms.bibliographicCitation.journaltitle | Applied sciences | |
dcterms.bibliographicCitation.volume | 13 | |
local.export.bibtex | @article{Wu2023, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16219}, doi = {10.3390/app13159013}, author = {Wu, Zhangkai and Romuli, Sebastian and Intani, Kiatkamjon et al.}, title = {Investigating Crude Sesame Oil Sedimentation and Its Monitoring Using Laser Backscattering Imaging (LBI)}, journal = {Applied sciences}, year = {2023}, volume = {13}, number = {15}, } | |
local.export.bibtexAuthor | Wu, Zhangkai and Romuli, Sebastian and Intani, Kiatkamjon et al. | |
local.export.bibtexKey | Wu2023 | |
local.export.bibtexType | @article |
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