A novel method for the diagnosis of bacterial contamination in the anterior vagina of sows based on measurement of biogenic amines by ion mobility spectrometry: A field trial

2012 ◽  
Vol 78 (4) ◽  
pp. 753-758 ◽  
Author(s):  
S. Marcus ◽  
A. Menda ◽  
L. Shore ◽  
G. Cohen ◽  
E. Atweh ◽  
...  
Keyword(s):  
Biogenic Amines ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Field Trial ◽  
Bacterial Contamination ◽  
Novel Method

Novel method based on ion mobility spectrometry sum spectrum for the characterization of ignitable liquids in fire debris

Talanta ◽  
2019 ◽  
Vol 199 ◽  
pp. 189-194 ◽  
Author(s):  
María José Aliaño-González ◽  
Marta Ferreiro-González ◽  
Gerardo F. Barbero ◽  
Miguel Palma
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Ignitable Liquids ◽  
Fire Debris ◽  
Novel Method ◽  
In Fire

Novel application for ion mobility spectrometry: diagnosing vaginal infections through measurement of biogenic amines

2002 ◽  
Vol 474 (1-2) ◽  
pp. 115-123 ◽  
Author(s):  
Zeev Karpas ◽  
Walter Chaim ◽  
Rachel Gdalevsky ◽  
Boris Tilman ◽  
Avi Lorber
Keyword(s):  
Biogenic Amines ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Vaginal Infections

Rapid microchip-based FAIMS determination of trimethylamine, an indicator of pork deterioration

2014 ◽  
Vol 6 (9) ◽  
pp. 2965-2972 ◽  
Author(s):  
Qi Wang ◽  
Yun-Fei Xie ◽  
Wei-Jun Zhao ◽  
Peng Li ◽  
He Qian ◽  
...  
Keyword(s):  
Biogenic Amines ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
High Field ◽  
Quantitative Method ◽  
Room Temperature ◽  
Asymmetric Waveform

A fast and quantitative method for the detection of biogenic amines based on the microchip-based high-field asymmetric waveform ion mobility spectrometry (FAIMS) technique was established for evaluating the degree of spoilage of pork stored at room temperature.

A Novel Method for Determination of Histamine in Tuna Fish by Ion Mobility Spectrometry

2015 ◽  
Vol 8 (9) ◽  
pp. 2376-2382 ◽  
Author(s):  
Gabi Cohen ◽  
Denis Danny Rudnik ◽  
Mordi Laloush ◽  
Doron Yakir ◽  
Zeev Karpas
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Tuna Fish ◽  
Novel Method

Determination of volatile biogenic amines in muscle food products by ion mobility spectrometry

2002 ◽  
Vol 463 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Zeev Karpas ◽  
Boris Tilman ◽  
Rachel Gdalevsky ◽  
Avraham Lorber
Keyword(s):  
Biogenic Amines ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Food Products

scholarly journals A Screening Method Based on Headspace-Ion Mobility Spectrometry to Identify Adulterated Honey

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1621 ◽  
Author(s):  
María José Aliaño-González ◽  
Marta Ferreiro-González ◽  
Estrella Espada-Bellido ◽  
Miguel Palma ◽  
Gerardo F. Barbero
Keyword(s):  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Screening Method ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
High Price ◽  
Intermediate Precision ◽  
Linear Discriminant ◽  
High Fructose ◽  
Novel Method

Nowadays, adulteration of honey is a frequent fraud that is sometimes motivated by the high price of this product in comparison with other sweeteners. Food adulteration is considered a deception to consumers that may have an important impact on people’s health. For this reason, it is important to develop fast, cheap, reliable and easy to use analytical methods for food control. In the present research, a novel method based on headspace-ion mobility spectrometry (HS-IMS) for the detection of adulterated honey by adding high fructose corn syrup (HFCS) has been developed. A Box–Behnken design combined with a response surface method have been used to optimize a procedure to detect adulterated honey. Intermediate precision and repeatability studies have been carried out and coefficients of variance of 4.90% and 4.27%, respectively, have been obtained. The developed method was then tested to detect adulterated honey. For that purpose, pure honey samples were adulterated with HFCS at different percentages (10–50%). Hierarchical cluster analysis (HCA) and principal component analysis (PCA) showed a tendency of the honey samples to be classified according to the level of adulteration. Nevertheless, a perfect classification was not achieved. On the contrary, a full classification (100%) of all the honey samples was performed by linear discriminant analysis (LDA). This is the first time the technique of HS-IMS has been applied for the determination of adulterated honey with HFCS in an automatic way.

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