Simultaneous sex and species classification of silkworm pupae by NIR spectroscopy combined with chemometric analysis

2020 ◽  
Author(s):  
Guangying Qiu ◽  
Dan Tao ◽  
Qian Xiao ◽  
Guanglin Li
Keyword(s):  
Nir Spectroscopy ◽  
Chemometric Analysis ◽  
Species Classification ◽  
Silkworm Pupae

scholarly journals Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 196
Author(s):  
Araz Soltani Nazarloo ◽  
Vali Rasooli Sharabiani ◽  
Yousef Abbaspour Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Mariusz Szymanek ◽  
...  
Keyword(s):  
Near Infrared ◽  
Cross Validation ◽  
Low Cost ◽  
Moving Average ◽  
Nir Spectroscopy ◽  
Control Treatment ◽  
Residue Detection ◽  
Non Destructive ◽  
Reflective Spectroscopy

The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide.

scholarly journals Genomic Characterization of Antimicrobial Resistance, Virulence, and Phylogeny of the Genus Ochrobactrum

Antibiotics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 177 ◽  
Author(s):  
Yael Yagel ◽  
Stephanie Sestito ◽  
Yair Motro ◽  
Anat Shnaiderman-Torban ◽  
Boris Khalfin ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Virulence Genes ◽  
Opportunistic Infections ◽  
Species Classification ◽  
Genome Phylogeny ◽  
Genomic Characterization ◽  
Specific Species ◽  
Lactamase Gene

Ochrobactrum is a ubiquitous Gram-negative microorganism, mostly found in the environment, which can cause opportunistic infections in humans. It is almost uniformly resistant to penicillins and cephalosporins through an AmpC-like β-lactamase enzyme class (OCH). We studied 130 assembled genomes, of which 5 were animal-derived isolates recovered in Israel, and 125 publicly available genomes. Our analysis focused on antimicrobial resistance (AMR) genes, virulence genes, and whole-genome phylogeny. We found that 76% of Ochrobactrum genomes harbored a blaOCH β-lactamase gene variant, while 7% harbored another AmpC-like gene. No virulence genes other than lipopolysaccharide-associated genes were found. Core genome multilocus sequence typing clustered most samples to known species, but neither geographical clustering nor isolation source clustering were evident. When analyzing the distribution of different blaOCH variants as well as of the blaOCH-deficient samples, a clear phylogenomic clustering was apparent for specific species. The current analysis of the largest collection to date of Ochrobactrum genomes sheds light on the resistome, virulome, phylogeny, and species classification of this increasingly reported human pathogen. Our findings also suggest that Ochrobactrum deserves further characterization to underpin its evolution, taxonomy, and antimicrobial resistance.

Classification of thermally modified wood by FT-NIR spectroscopy and SIMCA

2012 ◽  
Vol 46 (6) ◽  
pp. 1181-1192 ◽  
Author(s):  
Helmut Bächle ◽  
Bernhard Zimmer ◽  
Gerd Wegener
Keyword(s):  
Nir Spectroscopy ◽  
Thermally Modified Wood ◽  
Modified Wood

scholarly journals Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy

2020 ◽  
Vol 91 ◽  
pp. 102861
Author(s):  
Gustavo Hugo Ferreira de Oliveira ◽  
Seth C. Murray ◽  
Luis Carlos Cunha Júnior ◽  
Kássio Michell Gomes de Lima ◽  
Camilo de Lelis Medeiros de Morais ◽  
...  
Keyword(s):  
Nir Spectroscopy ◽  
Breeding Programs ◽  
Expansion Capacity

Classification of Chinese Soybean Paste by Fourier Transform Near-Infrared (FT-NIR) Spectroscopy and Different Supervised Pattern Recognition

2011 ◽  
Vol 5 (4) ◽  
pp. 928-934 ◽  
Author(s):  
Hui Jiang ◽  
Guohai Liu ◽  
Xiahong Xiao ◽  
Shuang Yu ◽  
Congli Mei ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Fourier Transform ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Soybean Paste
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