Computational analysis of molecularly imprinted polymers for selective detection of pesticides (Record no. 20618)

MARC details
000 -LEADER
fixed length control field 03923nas a2200397 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818084457.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221212s2022 th uu m rtt 0| a1eng
035 ## - SYSTEM CONTROL NUMBER
System control number .b12395559
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.FI-22-03
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Madala, Sanjay
245 10 - TITLE STATEMENT
Title Computational analysis of molecularly imprinted polymers for selective detection of pesticides
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. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 95 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no.FI-22-03
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Food Innovation Nutrition and Health
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Sc.) - Asian Institute of Technology, 2022
520 ## - SUMMARY, ETC.
Summary, etc. Pesticides are the major contaminants in the food samples and detecting them efficiently is the first step that must be done in the process of their elimination. There are many such detection methods currently in use, but almost all of them either produce low accuracy results or would require laborious process and time to give better results. Electrochemical sensors with molecularly imprinted polymers bring out better results in a very short time and do not need any long procedures. This makes them usable on the go. Various polymers are being researched for their sensitive detection of pesticides in the samples. This current study proposed a way to screen two different polymers, polydopamine and polynorepinephrine, for their selectivity and efficiency in detection of pesticides, diuron, chlorpyrifos and paraquat. Molecular dynamic simulations were used to obtain the polymer-pesticide interactions and analyze them. The primary stage of study involves the modeling, optimizing and pre-processing of the 3-dimensional structures that were to be simulated. The initial simulation involved the analysis of the system containing a polymer and a single pesticide in water. This proved that both the polymers were able to form interactions with diuron and chlorpyrifos but not with paraquat. The difference in polarity and water solubility of the molecules were the reasons for the differences in interactions between PDA and PNE. In the succeeding simulations oligomers were simulated along with pesticide mixture (diuron and chlorpyrifos). These simulations gave out new interactions formed between both the pesticides which changed or effected the interactions between each pesticide with the polymer. The final outcome from both the simulations proved that both polymers had different interactions with change in the parameters and the type of molecules present but as an overall conclusion can be effectively used as molecularly imprinted polymers for effective detection of pesticides. The end result from this work has its application for developing electro chemical sensors with MIP for the detection of pesticides in various samples like food and water.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pesticides
General subdivision Analysis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Imprinted polymers
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Molecular imprinting
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Loc Thai Nguyen,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Anal, Anil Kumar,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Salin, Krishna R.,
Relator term Examination Committee
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.FI-22-03
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=B17951">http://203.159.5.9/ait-thesis/detail.php?q=B17951</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b12395559
b mnait
c m
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 260318
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 221212
First date, FD (RLIN) m
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-- m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2022-09-12
RECORD Id RECORD # : i13418932
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
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909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050121068646
CREATED CREATED : 2023-11-12
RECORD Id RECORD # : i13473657
LPATRON LPATRON : 1033985
LCHKIN LCHKIN : 2026-03-18
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 1
-- TOT RENEW : 3
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 Price effective from Koha item type Cost, normal purchase price Barcode Copy number
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.FI-22-03 18/08/2026 18/08/2026 67-Electronic Resource      
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Thesis no.FI-22-03 18/08/2026 18/08/2026 20-AIT Publication 50.00 30050121068646 1
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