Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds

Honey bees can be trained to be sniffer bees due to the presence of high number of odorant receptors (170 odorant receptors) in their heads. This unique characteristic enables them to detect scent down to part per trillion level. In this study, localized honey bees (Apis mellifera) were trained by u...

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Main Author:	Kerk, Wen Chiann
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/92556/1/KerkWenChiannPSChE2019.pdf.pdf
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id	my-utm-ep.92556
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spelling	my-utm-ep.925562021-09-30T15:11:35Z Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds 2019 Kerk, Wen Chiann TP Chemical technology Honey bees can be trained to be sniffer bees due to the presence of high number of odorant receptors (170 odorant receptors) in their heads. This unique characteristic enables them to detect scent down to part per trillion level. In this study, localized honey bees (Apis mellifera) were trained by using the method of classical Pavlovian conditioning. The proboscis extension reflex (PER) of sniffer bees towards the target odor was observed and recorded. The phytochemical profile of Andrographis paniculata (A. paniculata) was constructed using headspace solid-phase microextraction coupled with gas chromatography integrated with mass spectrometer method. The volatile marker compounds were identified. The sniffing capacity of the sniffer bees was determined by varying the heating temperature from 50-120 °C, the weight of plant material from 20-100 mg and the percentage (20-100%) of the target herbal sample in the mixture of A. paniculata and Clinacanthus nutans (C. nutans). C. nutans is an herbal plant which is morphologically similar to A. paniculata and it also belongs to the Acanthaceae family. The efficiency, accuracy and sensitivity of sniffer bees were analyzed and validated statistically. The success rate of sniffer bees for heating temperatures was approximately 90 %. The success rate for minimum weight of plant sample, 20 mg was 50 %. The success rate percentage of target herbal sample increased when the percentage of A. paniculata was proportionally increased. Compounds such as caryophyllene, ß-elemene, 3,3-dimethylhexane, apiol, 6,10,14-trimethyl-2-pentadecanone and dihydroactinidiolide were detected in the gaseous mixture. The kinetics of volatile marker compounds released from the plant samples were studied to predict the concentrations of the volatile marker compounds for sniffer bee detection at 85 ?. Second-order and two-site kinetic models were selected because of the kinetic data of these volatile marker compounds fitted well to these models (R2 > 0.9). 2019 Thesis http://eprints.utm.my/id/eprint/92556/ http://eprints.utm.my/id/eprint/92556/1/KerkWenChiannPSChE2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:139229 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Chemical & Energy Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Kerk, Wen Chiann Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
description	Honey bees can be trained to be sniffer bees due to the presence of high number of odorant receptors (170 odorant receptors) in their heads. This unique characteristic enables them to detect scent down to part per trillion level. In this study, localized honey bees (Apis mellifera) were trained by using the method of classical Pavlovian conditioning. The proboscis extension reflex (PER) of sniffer bees towards the target odor was observed and recorded. The phytochemical profile of Andrographis paniculata (A. paniculata) was constructed using headspace solid-phase microextraction coupled with gas chromatography integrated with mass spectrometer method. The volatile marker compounds were identified. The sniffing capacity of the sniffer bees was determined by varying the heating temperature from 50-120 °C, the weight of plant material from 20-100 mg and the percentage (20-100%) of the target herbal sample in the mixture of A. paniculata and Clinacanthus nutans (C. nutans). C. nutans is an herbal plant which is morphologically similar to A. paniculata and it also belongs to the Acanthaceae family. The efficiency, accuracy and sensitivity of sniffer bees were analyzed and validated statistically. The success rate of sniffer bees for heating temperatures was approximately 90 %. The success rate for minimum weight of plant sample, 20 mg was 50 %. The success rate percentage of target herbal sample increased when the percentage of A. paniculata was proportionally increased. Compounds such as caryophyllene, ß-elemene, 3,3-dimethylhexane, apiol, 6,10,14-trimethyl-2-pentadecanone and dihydroactinidiolide were detected in the gaseous mixture. The kinetics of volatile marker compounds released from the plant samples were studied to predict the concentrations of the volatile marker compounds for sniffer bee detection at 85 ?. Second-order and two-site kinetic models were selected because of the kinetic data of these volatile marker compounds fitted well to these models (R2 > 0.9).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kerk, Wen Chiann
author_facet	Kerk, Wen Chiann
author_sort	Kerk, Wen Chiann
title	Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
title_short	Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
title_full	Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
title_fullStr	Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
title_full_unstemmed	Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds
title_sort	bee-based sensor using apis mellifera for detection of andrographis paniculata volatile compounds
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Chemical & Energy Engineering
publishDate	2019
url	http://eprints.utm.my/id/eprint/92556/1/KerkWenChiannPSChE2019.pdf.pdf
_version_	1747818603036540928

Bee-based sensor using apis mellifera for detection of Andrographis paniculata volatile compounds

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