Exploring the electrical sensing zone method for advanced microplastic analysis : (Record no. 42470)

MARC details
000 -LEADER
fixed length control field 03963nas a2200421 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818113150.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260616s20269999th u ms t 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12508184
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.EV-26-10
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ghazal, Naina
245 10 - TITLE STATEMENT
Title Exploring the electrical sensing zone method for advanced microplastic analysis :
Remainder of title polymer differentiation and dynamic monitoring
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2026
300 ## - PHYSICAL DESCRIPTION
Extent 85 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. EV-26-10
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Sc.) - Asian Institute of Technology, 2026
520 ## - SUMMARY, ETC.
Summary, etc. The Electrical Sensing Zone (ESZ) method is an emerging approach for microplastic detection, capable of providing particle count and size information. This study extends its application beyond conventional counting and sizing by integrating ESZ with machine learning to enable polymer differentiation and real-time monitoring of particle interactions.For polymer differentiation, ESZ signal features were used to classify three polymer types, polyethylene (PE), polyamide (PA), and polyvinyl chloride (PVC), based on particle transit dynamics. Pulse morphology study showed a broader pulse for PE compared to PA and PVC inferring that buoyancy induced pulse broadening provides an excellent discrimination between PE and PA/PVC, however, density induced difference in the pulse width between PA and PVC was indiscernible based on morphology analysis alone. A Random Forest classifier achieved an overall accuracy of 91.24% in three-class discrimination, with high precision for PE and moderate misclassification between PA and PVC due to similar density characteristics.ESZ was applied for real-time monitoring of aggregation dynamics between PVC microplastics and powdered activated carbon (PAC) over a four-hour experiment comprising six phases and 24,557 particle events. While the median particle diameter remained approximately constant at 111.7 æm, the distribution width (Span) increased from 0.265 to 0.415 during early flocculation, indicating aggregate formation. A three-component Gaussian Mixture Model (GMM) successfully differentiated PAC homoaggregates, PVC particles, and PAC-PVC heteroaggregates. The heteroaggregate fraction peaked at 23% during early flocculation before declining due to settling, indicating effective removal.The results demonstrate that ESZ, when coupled with machine learning, can move beyond conventional particle sizing to provide simultaneous insight into microplastic identity and dynamic behavior, offering strong potential for scalable, in-situ environmental monitoring and water treatment applications.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Coulter principle
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Microplastics
General subdivision Analysis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Microplastics
General subdivision Environmental aspects
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Environmental monitoring
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Xue, Wenchao,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cruz, Simon Guerrero,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chantri Polprasert,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PMU-KPCIP-AIT Scholarship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. EV-26-10
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B24448">http://203.159.5.9/ait-thesis/detail.php?q=B24448</a>
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a 260622
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 260618
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2026-06-16
RECORD Id RECORD # : i13605434
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909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120421002
CREATED CREATED : 2026-06-17
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type Barcode
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.EV-26-10 18/08/2026 1 18/08/2026 67-Electronic Resource  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.EV-26-10 18/08/2026 1 18/08/2026 40-Archives 30050120421002
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