PMID- 31244383
OWN - NLM
STAT- MEDLINE
DCOM- 20190909
LR  - 20190909
IS  - 1096-3669 (Electronic)
VI  - 37
IP  - 8
DP  - 2019 Aug
TI  - Influence of surface roughness and surface moisture of plastics on sensor-based 
      sorting in the near infrared range.
PG  - 843-850
LID - 10.1177/0734242X19855433 [doi]
AB  - In the project 'NEW-MINE' the use of sensor-based sorting machinery in the field 
      of 'landfill mining' is investigated. Defilements pose a particular challenge in 
      the treatment and sorting of plastics contained in landfills. For this reason, 
      the effects of various pollutants caused by the interactions in the landfill body 
      or the mechanical treatment steps in landfill mining are examined. In the 
      following elaboration, the focus is on the influences of surface moisture and 
      surface roughness of plastics on sensor-based sorting by means of near-infrared 
      technology. Near-infrared radiation (NIR) in a wavelength range of 990 nm to 
      1500 nm has been used for the detection and classification of plastic particles. 
      The experiments demonstrate that increased surface roughness reduces signal noise 
      and thereby improves the classification of both spectrally similar and 
      transparent plastics, but reduces the yield of low-softening plastics because 
      their sliding speed on a sensor-based chute sorter varies as a result of the 
      heating of the chute. Surface moisture causes the absorption of radiation from 
      1115 nm (high density polyethylene [HDPE], linear low density polyethylene 
      [LLDPE], polyethylen terephthalate [PET] and polyvinylchloride [PVC]) or from 
      1230 nm (low density polyethylene [LDPE], polypropylene [PP] and thermoplastic 
      polyurethane [TPU]) up to at least 1680 nm, which causes amplification or 
      attenuation of various extremes in the derivative. However, the influence of 
      surface moisture on the yield of plastics is usually very low and depends on the 
      spectral differences between the different plastics.
FAU - Kuppers, Bastian
AU  - Kuppers B
AUID- ORCID: 0000-0002-0367-4786
AD  - 1 Waste Processing Technology and Waste Management (AVAW), Montanuniversitaet 
      Leoben, Austria.
FAU - Schloegl, Sabine
AU  - Schloegl S
AD  - 1 Waste Processing Technology and Waste Management (AVAW), Montanuniversitaet 
      Leoben, Austria.
FAU - Oreski, Gernot
AU  - Oreski G
AD  - 2 Polymer Competence Center Leoben GmbH, Leoben, Austria.
FAU - Pomberger, Roland
AU  - Pomberger R
AD  - 1 Waste Processing Technology and Waste Management (AVAW), Montanuniversitaet 
      Leoben, Austria.
FAU - Vollprecht, Daniel
AU  - Vollprecht D
AD  - 1 Waste Processing Technology and Waste Management (AVAW), Montanuniversitaet 
      Leoben, Austria.
LA  - eng
PT  - Journal Article
DEP - 20190627
PL  - England
TA  - Waste Manag Res
JT  - Waste management & research : the journal of the International Solid Wastes and 
      Public Cleansing Association, ISWA
JID - 9881064
RN  - 0 (Environmental Pollutants)
RN  - 0 (Plastics)
RN  - 9002-86-2 (Polyvinyl Chloride)
RN  - 9002-88-4 (Polyethylene)
SB  - IM
MH  - *Environmental Pollutants
MH  - *Plastics
MH  - Polyethylene
MH  - Polyvinyl Chloride
OTO - NOTNLM
OT  - Sensor-based sorting
OT  - hyperspectral imaging
OT  - influence of defilements
OT  - near-infrared spectroscopy
OT  - surface roughness
OT  - surface water
EDAT- 2019/06/28 06:00
MHDA- 2019/09/10 06:00
CRDT- 2019/06/28 06:00
PHST- 2019/06/28 06:00 [pubmed]
PHST- 2019/09/10 06:00 [medline]
PHST- 2019/06/28 06:00 [entrez]
AID - 10.1177/0734242X19855433 [doi]
PST - ppublish
SO  - Waste Manag Res. 2019 Aug;37(8):843-850. doi: 10.1177/0734242X19855433. Epub 2019 
      Jun 27.