Detection and identification of fungal species by electronic nose technology: A systematic review

2021 ◽  
Author(s):  
Inês Mota ◽  
Rita Teixeira-Santos ◽  
João Cavaleiro Rufo
Keyword(s):  
Systematic Review ◽  
Electronic Nose ◽  
Fungal Species ◽  
Detection And Identification ◽  
Electronic Nose Technology

scholarly journals Deteksi Formalin Pada Buah Tomat (Lycopersicum esculentum Mill) Dengan Teknologi Hidung Elektronik (Electronic Nose)

2019 ◽  
Vol 4 (2) ◽  
pp. 359-366
Author(s):  
Irfan Maibriadi ◽  
Ratna Ratna ◽  
Agus Arip Munawar
Keyword(s):  
Principal Component Analysis ◽  
Electronic Nose ◽  
Principal Component ◽  
Component Analysis ◽  
Lycopersicum Esculentum ◽  
Olfactory Ability ◽  
Pca Method ◽  
The Difference ◽  
Electronic Nose Technology

Abstrak,  Tujuan dari penelitian ini adalah mendeteksi kandungan dan kadar formalin pada buah tomat dengan menggunakan instrument berbasis teknologi Electronic nose. Penelitian ini menggunakan buah tomat yang telah direndam dengan formalin dengan kadar 0.5%, 1%, 2%, 3%, 4%, dan buah tomat tanpa perendaman dengan formalin (0%). Jumlah sampel yang digunakan pada penelitian ini adalah sebanyak 18 sampel. Pengukuran spektrum beras menggunakan sensor Piezoelectric Tranducer. Klasifikasi data spektrum buah tomat menggunakan metode Principal Component Analysis (PCA) dengan pretreatment nya adalah Gap Reduction. Hasil penelitian ini diperoleh yaitu: Hidung elektronik mulai merespon aroma formalin pada buah tomat pada detik ke-8.14, dan dapat mengklasifikasikan kandungan dan kadar formalin pada buah tomat pada detik ke 25.77. Hidung elektronik yang dikombinasikan dengan metode principal component analysis (PCA) telah berhasil mendeteksikandungan dan kadar formalin pada buah tomat dengan tingkat keberhasilan sebesar 99% (PC-1 sebesar 93% dan PC-2 sebesar 6%). Perbedaan kadar formalin menjadi faktor utama yang menyebabkan Elektronik nose mampu membedakan sampel buah tomat yang diuji, karena semakin tinggi kadar formalin pada buah tomat maka aroma khas dari buah tomat pun semakin menghilang, sehingga Electronic nose yang berbasis kemampuan penciuman dapat membedakannya.Detect Formaldehyde on Tomato (Lycopersicum esculentum Mill) With Electronic Nose TechnologyAbstract, The purpose of this study is to detect the contents and levels of formalin in tomatoes by using instruments based on Electronic nose technology. This study used tomatoes that have been soaked in formalin with a concentration of 0.5%, 1%, 2%, 3%, 4%, 5% and tomatoes without soaking with formalin (0%). The samples in this study were 18 samples. The measurements of the intensity on tomatoes aroma were using Piezoelectric Transducer sensors. The classification of tomato spectrum data was using the Principal Component Analysis (PCA) method with Gap Reduction pretreatment. The results of this study were obtained: the Electronic nose began to respond the smell of formalin on tomatoes at 8.14 seconds, and it could classify the content and formalin levels in tomatoes at 25.77 seconds. Electronic nose combined with the principal component analysis (PCA) method have successfully detected the content and levels of formalin in tomatoes with a success rate at 99% (PC-1 of 93% and PC-2 of 6%). The difference of grade formalin levels is the main factor that causes Electronic nose to be able to distinguish the tomato samples tested, because the higher of formalin content in tomatoes, the distinctive of tomatoes aroma is increasingly disappearing. Thereby, the Electronic nose based on  the olfactory ability can distinguish them. 

The need for electronic noses for environmental odour exposure assessment

2013 ◽  
Vol 69 (1) ◽  
pp. 135-141 ◽  
Author(s):  
Laura Capelli ◽  
Licinia Dentoni ◽  
Selena Sironi ◽  
Renato Del Rosso
Keyword(s):  
Exposure Assessment ◽  
Electronic Nose ◽  
Landfill Gas ◽  
Monitoring Site ◽  
Electronic Noses ◽  
Odour Source ◽  
Detection Frequency ◽  
Odour Emissions ◽  
Electronic Nose Technology

This paper focuses on the opportunities for using electronic noses for odour exposure assessment purposes, especially in cases where dispersion modelling is not applicable. Such cases include, for instance, those sources where a detailed characterisation and quantification of the odour emissions for every hour of the simulation time domain is particularly difficult, due to the nature of the source or to the variability of the emissions over time. In such situations, it is useful to determine odour exposure directly at receptors instead. This paper critically discusses the state of the art of electronic nose technology as far as its application to the determination of odour exposure at receptors is concerned. One example of electronic nose application to the monitoring of odours from an Italian municipal solid waste (MSW) landfill is reported, in order to discuss the instrument's potential and limits. The monitoring results are represented by the number of measures that are classified in a specific olfactory class; this information allows the odour exposure at each monitoring site in terms of odour detection frequency to be determined. Besides a quantification of the odour episodes, electronic noses allowed the identification of the landfill gas as the monitored landfill major odour source.

scholarly journals Electronic Nose Technology to Measure Soil Microbial Activity and Classify Soil Metabolic Status

2011 ◽  
Author(s):  
Fabrizio De Cesare ◽  
Elena Di Mattia ◽  
Simone Pantalei ◽  
Emiliano Zampetti ◽  
Vittorio Vinciguerra ◽  
...  
Keyword(s):  
Microbial Activity ◽  
Electronic Nose ◽  
Soil Microbial Activity ◽  
Metabolic Status ◽  
Soil Microbial ◽  
Electronic Nose Technology

scholarly journals Electronic-Nose Technology Using Sputum Samples in Diagnosis of Patients with Tuberculosis

2010 ◽  
Vol 48 (11) ◽  
pp. 4235-4238 ◽  
Author(s):  
A. Kolk ◽  
M. Hoelscher ◽  
L. Maboko ◽  
J. Jung ◽  
S. Kuijper ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Electronic Nose Technology

scholarly journals Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: A pilot study

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0188879 ◽  
Author(s):  
Joseph M. Lewis ◽  
Richard S. Savage ◽  
Nicholas J. Beeching ◽  
Mike B. J. Beadsworth ◽  
Nicholas Feasey ◽  
...  
Keyword(s):  
Pilot Study ◽  
Tract Infection ◽  
Respiratory Tract ◽  
Respiratory Tract Infection ◽  
Electronic Nose ◽  
Volatile Metabolite ◽  
Electronic Nose Technology

scholarly journals An improved rapid quantitative detection and identification method for a wide range of fungi

2009 ◽  
Vol 58 (8) ◽  
pp. 1037-1044 ◽  
Author(s):  
Nobutoshi Soeta ◽  
Masanori Terashima ◽  
Mitsukazu Gotoh ◽  
Shuichi Mori ◽  
Kyoko Nishiyama ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Diagnostic Technique ◽  
Fungal Species ◽  
Quantitative Detection ◽  
Its2 Region ◽  
The Real ◽  
Detection And Identification ◽  
Wide Range ◽  
Pcr Products

To develop a rapid and quantitative diagnostic technique for the detection and identification of a wide range of fungi, an improved molecular method based on real-time PCR and the analysis of its products that targets the internal transcribed spacer (ITS) 2 region was established. The real-time PCR could quantitatively and specifically detect the ITS2 region from all 24 tested pathogenic fungal species at between 101 and 107 copies per test without amplification of bacterial or human DNA. The sequences of the primer-binding sites are conserved in the registered sequences of 34 other pathogenic fungal species, suggesting that the PCR would also detect these species. The hyperpolymorphic nature of the ITS2 region between fungal species in terms of length and nucleotide sequence provided valuable information for the determination of species. By labelling the 5′ end of the reverse primer with NED fluorescent dye, the fragment lengths of the real-time PCR products and their 3′-terminal fragments, derived using restriction enzyme ScrFI digestion, were easily evaluated by capillary electrophoresis. Using this analysis, the number and species of fungi present in samples could be estimated. Moreover, sequence analysis of the real-time PCR products could accurately determine species in samples containing a single species. This diagnostic technique can estimate a wide range of fungi from various clinical samples within 1 day and accurately identify them in 2 days. Quantitative results for fungal titre in samples can also provide useful information for understanding the progression of disease and the efficacy of antifungal chemotherapy.

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