PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

2017 ◽  
Vol 18 (2) ◽  
pp. 302-322
Author(s):  
Fajar Hardoyono
Keyword(s):  
Sensor Array ◽  
Principal Component ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Response Patterns ◽  
Data Recording ◽  
Analysis Method ◽  
Sample Group ◽  
Array Pattern ◽  
Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

Head Space Sensor Array for the Detection of Aflatoxin M1 in Raw Ewe's Milk

2005 ◽  
Vol 68 (5) ◽  
pp. 1089-1092 ◽  
Author(s):  
S. BENEDETTI ◽  
S. IAMETTI ◽  
F. BONOMI ◽  
S. MANNINO
Keyword(s):  
Metal Oxide ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Aflatoxin M1 ◽  
Complete Agreement ◽  
Enzyme Linked Immunosorbent Assay ◽  
Milk Samples ◽  
Head Space ◽  
Ewe's Milk

A novel screening method was developed for simple and rapid detection of aflatoxin M1 contamination in raw ewe's milk samples without the need for sample pretreatment. The method was based on the use of a commercial head space sensor array system constituted by 12 metal oxide semiconductor sensors, 10 metal oxide semiconductor field-effect transistor sensors, and a pattern recognition software. Twenty-four raw milk samples collected from two different groups of ewes fed with a formulated feed that contained increasing amounts of aflatoxin B1 and six noncontaminated ewe's milk samples were analyzed. The results obtained by using the head space sensor array, processed by statistical methods, made it possible to group the samples according to the presence or the absence of aflatoxin M1. Sample classification was in complete agreement with the aflatoxin M1 content measured by an enzyme-linked immunosorbent assay procedure. This is the first report, to our knowledge, of detection of aflatoxin M1 in ewe's milk by a multisensor array.

scholarly journals Cocaine by-product detection with metal oxide semiconductor sensor arrays

RSC Advances ◽  
2020 ◽  
Vol 10 (47) ◽  
pp. 28464-28477
Author(s):  
Paula Tarttelin Hernández ◽  
Stephen M. V. Hailes ◽  
Ivan P. Parkin
Keyword(s):  
Metal Oxide ◽  
Gas Sensors ◽  
Sensor Array ◽  
Sensor Arrays ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Sensor ◽  
Gas Sensor Array ◽  
Semiconductor Gas Sensors ◽  
Metal Oxide Semiconductor Sensor

Metal oxide semiconductor gas sensors based on SnO2 and Cr2O3 were modified with zeolites H-ZSM-5, Na-A and H–Y to create a gas sensor array to detect cocaine by-product, methyl benzoate. SVMs were later used with a 4 sensor array to classify 9 gases of interest.

Sensor array optimization and discrimination of apple juices according to variety by an electronic nose

2017 ◽  
Vol 9 (6) ◽  
pp. 921-928 ◽  
Author(s):  
Hao Wu ◽  
TianLi Yue ◽  
Zhijiao Xu ◽  
Chen Zhang
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Chemical Sensors ◽  
Apple Juice ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Array Optimization ◽  
Semiconductor Type

An electronic nose (PEN3) containing 10 metal oxide semiconductor type chemical sensors was used to discriminate between eight varieties of apple juice.

scholarly journals CONTENT ANALYSIS ON SCHOOL MANAGEMENT AND ACADEMIC PERFORMANCE

2020 ◽  
Vol 3 (2) ◽  
pp. 42-52
Author(s):  
Roland NDUKONG TANGIRI ◽  
Idrissa ADAMU ◽  
Fatma KÖPRÜLÜ
Keyword(s):  
Academic Performance ◽  
Content Analysis ◽  
School Management ◽  
Analysis Method ◽  
Sample Group ◽  
Content Analysis Method ◽  
Group Data ◽  
Scopus Database ◽  
Research Type ◽  
Number Of Authors

This study sought to analyze 255 articles published in various journals and indexed in Scopus database within the year 2010 to May 2020, limited to only social science discipline, with keywords; school, management and academic performance and 80 articles were reached. The scrutiny was based on the year of publication, the journals in which they were published, number of authors, countries or regions in which the research was conducted, the sample group, data collection method, number of keywords and the research type. The content analysis method was used in this research and it was noticed that; most articles were published in the year 2019, America being the country with the highest publications, higher education was the sample group commonly used, and Quantitative method of research was frequently used compared to the other research methods. Bearing in mind that 2020 has not yet come to an end, it was necessary to be included in the analysis and considered as a year for the sake of current information.   Key words:​school, management, and academic performance  

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