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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Universiti Malaysia Perlis (UniMAP)
2015
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/40716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|