Effect of relative humidity on milling and air classification explained by particle dispersion and flowability

Politiek, R.G.A.; He, Suoying; Wilms, Patrick; Keppler, Julia K.; Bruins, Marieke E.; Schutyser, M.A.I.

doi:10.1016/j.jfoodeng.2023.111663

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…In Indonesia, the responsibility for determining the air quality level lies with the Ministry of Environment and Forestry (KLHK) of the Republic of Indonesia (RI). The KLHK RI measures air particles smaller than 10 microns (micrometers), commonly known as particulates (PM10) [8]- [11]. The presence of these particulate elements can lead to complications in the respiratory system.…”

Section: Introductionmentioning

confidence: 99%

The development of color histogram method to identify air quality index based on sky images

Enggari,

Sumijan,

Tajuddin

2024

IJEECS

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Air quality index measurements in Indonesia are carried out by ministry of environment and forestry (KLHK). The Ministry divides air quality levels into 5 categories, namely good, moderate, unhealthy, very unhealthy and dangerous. In this study, 3 air quality categories were used as primary research data, namely good, moderate and unhealthy because the others, never occurred in Indonesia from the time this research was conducted until its completion. This research develops the color histogram method in order to recognize the shape of an object in an image. First stage in this research is inputting the sky image into the system. Then carry out pre-processing in the form of cropping the image to obtained is only an image of sky. Next, convert the red, green and blue (RGB) colored sky image to Grayscale, then image enhancement, then noise reduction. After that is processed using development of the color histogram method. Refinement of color histogram method has yielded an impressive accuracy level of 90%, validated through the analysis of 30 sky images. The method successfully detected 27 images accurately, while three images posed detection challenges. The findings of this research is color histogram method can be used to identify objects especially air pollution from sky images.

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Section: Introductionmentioning

confidence: 99%

The development of color histogram method to identify air quality index based on sky images

Enggari,

Sumijan,

Tajuddin

2024

IJEECS

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“…This could be attributed to the higher level of starch and lower level of protein in the coarse fraction (Appendix table 3.1), as starch is more hygroscopic than protein (Pelgrom et al, 2013b). The images and combined size and shape analysis with Morphologi 4 confirmed that the coarse fraction was indeed enriched with starch and the fine fraction was depleted of starch (Appendix figure 3.4; online supplementary material Politiek et al, 2023b).…”

Section: Resultsmentioning

confidence: 91%

“…Appendix table 3 The particle morphology was measured and analysed by Morphologi 4 (Malvern Instruments, Worcestershire, UK). An extended version of this appendix is provided online with more detailed information on the morphology analysis (Politiek et al, 2023b).…”

Section: Appendixmentioning

confidence: 99%

“…The ratio between the percentage of small particles at a lower pressure and at the highest dispersion pressure results in a relative dispersive index, where materials with a higher relative dispersive index are better air-dispersible. The relative dispersive index of small particles (i.e., protein bodies) was lower for materials with a higher oil content, caused by stronger cohesive forces due to liquid bridging by oil (Fitzpatrick et al, 2007;Politiek et al, 2023b;Rennie et al, 1999) 1.1). However, especially hexane is also listed as an undesirable solvent based on safety and environmental classifications (Alfonsi et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Dry fractionation of oil-rich legumes for recovery of functional protein ingredients

Politiek

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The charging of particles and subsequent electrostatic separation behaviour is very much composition-dependent, where the presence of a large amount of starch granules can even impair the protein enrichment, as these can obtain similar charges (Pelgrom et al., 2015c;Xing et al., 2020). To overcome this, air classification is used as a first purification step to remove the starch from starch rich legumes, such as yellow pea, prior to electrostatic separation (

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Physical processing: dry fractionation and texturization of plant proteins

Mandala,

Apostolidis

2024

Handbook of Plant-Based Food and Drinks Design

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Effect of relative humidity on milling and air classification explained by particle dispersion and flowability

Cited by 6 publications

References 37 publications

The development of color histogram method to identify air quality index based on sky images

The development of color histogram method to identify air quality index based on sky images

Dry fractionation of oil-rich legumes for recovery of functional protein ingredients

Physical processing: dry fractionation and texturization of plant proteins

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