PMID- 34058667
OWN - NLM
STAT- MEDLINE
DCOM- 20210617
LR  - 20210617
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 260
DP  - 2021 Nov 5
TI  - Microplastic adulteration in homogenized fish and seafood - a mid-infrared and 
      machine learning proof of concept.
PG  - 119985
LID - S1386-1425(21)00562-X [pii]
LID - 10.1016/j.saa.2021.119985 [doi]
AB  - The objective of this study was to assess the ability of utilizing attenuated 
      total reflection mid-infrared (ATR-MIR) spectroscopy in combination with machine 
      learning techniques to classify the presence of different types of microplastics 
      in artificially adulterated fish and seafood samples. Different polymers namely 
      poly-vinyl chloride (PVC), polycarbonate (PC), polystyrene (PS), polypropylene 
      (PP) and low (LDPE) and high-density polyethylene (HDPE) were mixed with 
      homogenized fish and seafood samples. Homogenized samples were analyzed using MIR 
      spectroscopy and classification models developed using machine learning 
      algorithms such as partial least squares discriminant analysis (PLS-DA). The 
      results of this study revealed that it was possible to identify between 
      adulterated and non-adulterated samples as well as the different microplastic 
      types added to the homogenized samples using ATR-MIR spectroscopy. This study 
      confirmed the ability of combining machine learning methods with ATR-MIR 
      spectroscopy to directly analyze microplastic adulteration in fleshy foods such 
      as fish and seafood. This proof-of-concept study can be utilized and extended to 
      monitor the presence of plastics either in a wide range of fleshy foods or along 
      the entire food value chain.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Owen, Stephanie
AU  - Owen S
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Cureton, Samuel
AU  - Cureton S
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Szuhan, Mathew
AU  - Szuhan M
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - McCarten, Joel
AU  - McCarten J
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Arvanitis, Panagiota
AU  - Arvanitis P
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Ascione, Max
AU  - Ascione M
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Truong, Vi Khanh
AU  - Truong VK
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia.
FAU - Chapman, James
AU  - Chapman J
AD  - School of Science, RMIT University, GPO Box 2476, Melbourne, Victoria 3001, 
      Australia. Electronic address: james.chapman@rmit.edu.au.
FAU - Cozzolino, Daniel
AU  - Cozzolino D
AD  - 2 Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and 
      Food Innovation, The University of Queensland, St. Lucia, Brisbane, QLD 4072, 
      Australia. Electronic address: d.cozzolino@uq.edu.au.
LA  - eng
PT  - Journal Article
DEP - 20210521
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
RN  - 0 (Microplastics)
RN  - 0 (Plastics)
SB  - IM
MH  - Animals
MH  - Least-Squares Analysis
MH  - Machine Learning
MH  - *Microplastics
MH  - *Plastics
MH  - Seafood
OTO - NOTNLM
OT  - Contamination
OT  - Fish
OT  - Infrared
OT  - Machine learning
OT  - Microplastics
OT  - Polymers
OT  - Seafood
COIS- Declaration of Competing Interest The authors declare no conflict of interest.
EDAT- 2021/06/01 06:00
MHDA- 2021/06/22 06:00
CRDT- 2021/05/31 20:25
PHST- 2021/03/15 00:00 [received]
PHST- 2021/05/10 00:00 [revised]
PHST- 2021/05/18 00:00 [accepted]
PHST- 2021/06/01 06:00 [pubmed]
PHST- 2021/06/22 06:00 [medline]
PHST- 2021/05/31 20:25 [entrez]
AID - S1386-1425(21)00562-X [pii]
AID - 10.1016/j.saa.2021.119985 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2021 Nov 5;260:119985. doi: 
      10.1016/j.saa.2021.119985. Epub 2021 May 21.