ORCID Profile
0000-0001-9189-4465
Current Organisations
University of Southampton
,
Universiti Putra Malaysia
,
University of Malaya
,
Universiti Kebangsaan Malaysia
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Publisher: Elsevier BV
Date: 04-2015
Publisher: IEEE
Date: 09-2013
Publisher: Springer Science and Business Media LLC
Date: 02-04-2015
Publisher: MDPI AG
Date: 26-02-2015
DOI: 10.3390/S150304749
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Publisher: Elsevier BV
Date: 10-2016
DOI: 10.1016/J.ACA.2016.09.009
Abstract: Dengue Virus (DENV) has become one of the most serious arthropod-borne viral diseases, causing death globally. The existing methods for DENV detection suffer from the late stage treatment due to antibodies-based detection which is feasible only after five days following the onset of the illness. Here, we demonstrated the highly effective molecular electronic based detection utilizing silicon nanowire (SiNW) integrated with standard complementary metal-oxide-semiconductor (CMOS) process as a sensing device for detecting deoxyribonucleic acid (DNA) related to DENV in an early stage diagnosis. To transform the fabricated devices as a functional sensing element, three-step procedure consist of SiNW surface modification, DNA immobilization and DNA hybridization were employed. The detection principle works by detecting the changes in current of SiNW which bridge the source and drain terminal to sense the immobilization of probe DNA and their hybridization with target DNA. The oxygen (O
Publisher: MDPI AG
Date: 31-12-2019
DOI: 10.3390/S20010226
Abstract: There are many factors affecting oil extraction rate (OER) but a large contributor to high national OER is by processing good-quality fresh fruit bunches (FFB) at the mills. The current practice for grading oil palm fruit bunches in mills is using human graders for visual inspection, which can lead to repeated mistakes, inconsistent evaluation results, and many other related losses. This study aims to develop a fruit maturity sensor that can detect oil palm fruit maturity grade and send indication to the user whether to accept or reject the bunches. This study focuses on fruit battery principle and applying the charging concept to the fruit battery in order to generate significant load voltage readings of oil palm fruit battery. The charging process resulted in lified load voltage readings, which were 4 times more sensitive to changes as compared to normal fruit battery without charging process. From the load voltage readings, the fruits can be characterized into their maturity grade based on moisture content. It was determined that fruits with moisture content less than 44% and average load voltage, Vavg, between 20 to 30 mV are considered ripe fruits.
Publisher: IEEE
Date: 05-2015
Publisher: MDPI AG
Date: 25-08-2020
DOI: 10.3390/MI11090806
Abstract: Oil palm is one of the key industries highly observed in Malaysia, due to its high demand both whether locally or internationally. The oil extraction rate (OER) in palm oil production is used as an element to identify the performance of the mills, estates and producers. In view of this, there are specific instrument or sensor needs to be implemented at the mills especially during the reception of fresh fruit bunches (FFB) transported from the field for oil content processing. This paper aims to study and propose the use of a fruit battery-based oil palm maturity sensor to analyse the effect of the sensor to various parameters. The study utilizes a charging method with different parameters, including a moisture content test on the palm oil s les. Three types of parameters are tested along with the different grades of oil palm fruit from different bunches, such as the load resistance, charging voltage and charging time. The repeatability data of the s les are obtained with the used list of values in each parameter. The results show that the parameters tested for the unripe, under ripe and ripe s les can affect the sensor sensitivity.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Mohd Nizar Hamidon.