Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles

This thesis discussed the development of molecularly imprinted polymers (MIP) based sensor array for the detection of Harumanis mango volatiles. Conventionally, the detection of mangoes maturity are based on human smell, texture and harvesting time. Unfortunately, these methods are not a quantifi...

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Main Author: Nurul Maisyarah, Samsudin
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2015
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40716
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spelling my.unimap-407162015-12-31T13:28:22Z Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles Nurul Maisyarah, Samsudin Molecularly Imprinted Polymers (MIP) Harumanis Mango volatiles Sensor array Detection Ripeness This thesis discussed the development of molecularly imprinted polymers (MIP) based sensor array for the detection of Harumanis mango volatiles. Conventionally, the detection of mangoes maturity are based on human smell, texture and harvesting time. Unfortunately, these methods are not a quantifiable parameter to gauge the maturity. Maturity and ripeness were detected by the emission of volatiles as a marker using analytical equipment such as solid phase micro-extraction (SPME), crude extraction and liquid-liquid extraction. The analytical equipment is not practical because it cannot be operated outside the laboratory area. From gas chromatography mass spectrophotometer (GCMS) studies, Harumanis mangoes were found to emit certain volatiles during each different stage of maturity for example monoterpenes hydrocarbon which are known as marker component for mango maturity. Utilizing this chemical marker form GCMS data, the MIP sensor was developed on Interdigitated Electrode (IDE) and Quartz Crystal Microbalance (QCM) platforms where the sensors performances were tested. Computational simulation was implemented to simulate the MIP properties through molecular modeling and thermodynamic calculations using HyperChem 8.0 software. The molecular modeling with the use of semi-empirical method of AM1 (Austin Method 1) was used to find the optimum ratio of complex template and functional monomer methacrylic acid (MAA). Based on the binding energy (ΔE) obtained from the modelling, ratio 5 of MAA over template α-pinene and γ-terpinene and ratio 3 of MAA over terpinolene have good binding capabilities during polymeric synthesis. The sensors responses on QCM and IDE were found to have consistent selectivity regardless of the platform used which is quartz crystal or PET (Polyethylene terepthlate). The MIP sensor was also exposed real time to Harumanis mango where the response pattern indicated that the sensor responded towards its target analyte and able to clarify fruits at various maturity phases. In this research, MIP sensor was successfully developed and the selectivity response was verified with experimental and real time monitoring of volatile released by the mango. 2015-12-31T13:28:22Z 2015-12-31T13:28:22Z 2013 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40716 en Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Molecularly Imprinted Polymers (MIP)
Harumanis
Mango volatiles
Sensor array
Detection
Ripeness
spellingShingle Molecularly Imprinted Polymers (MIP)
Harumanis
Mango volatiles
Sensor array
Detection
Ripeness
Nurul Maisyarah, Samsudin
Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
description This thesis discussed the development of molecularly imprinted polymers (MIP) based sensor array for the detection of Harumanis mango volatiles. Conventionally, the detection of mangoes maturity are based on human smell, texture and harvesting time. Unfortunately, these methods are not a quantifiable parameter to gauge the maturity. Maturity and ripeness were detected by the emission of volatiles as a marker using analytical equipment such as solid phase micro-extraction (SPME), crude extraction and liquid-liquid extraction. The analytical equipment is not practical because it cannot be operated outside the laboratory area. From gas chromatography mass spectrophotometer (GCMS) studies, Harumanis mangoes were found to emit certain volatiles during each different stage of maturity for example monoterpenes hydrocarbon which are known as marker component for mango maturity. Utilizing this chemical marker form GCMS data, the MIP sensor was developed on Interdigitated Electrode (IDE) and Quartz Crystal Microbalance (QCM) platforms where the sensors performances were tested. Computational simulation was implemented to simulate the MIP properties through molecular modeling and thermodynamic calculations using HyperChem 8.0 software. The molecular modeling with the use of semi-empirical method of AM1 (Austin Method 1) was used to find the optimum ratio of complex template and functional monomer methacrylic acid (MAA). Based on the binding energy (ΔE) obtained from the modelling, ratio 5 of MAA over template α-pinene and γ-terpinene and ratio 3 of MAA over terpinolene have good binding capabilities during polymeric synthesis. The sensors responses on QCM and IDE were found to have consistent selectivity regardless of the platform used which is quartz crystal or PET (Polyethylene terepthlate). The MIP sensor was also exposed real time to Harumanis mango where the response pattern indicated that the sensor responded towards its target analyte and able to clarify fruits at various maturity phases. In this research, MIP sensor was successfully developed and the selectivity response was verified with experimental and real time monitoring of volatile released by the mango.
format Thesis
author Nurul Maisyarah, Samsudin
author_facet Nurul Maisyarah, Samsudin
author_sort Nurul Maisyarah, Samsudin
title Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
title_short Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
title_full Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
title_fullStr Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
title_full_unstemmed Development of molecularly imprinted polymer (MIP) based sensor array for the detection of mango volatiles
title_sort development of molecularly imprinted polymer (mip) based sensor array for the detection of mango volatiles
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40716
_version_ 1643799415235805184
score 13.214268