Fourier transform infrared microspectroscopy as a bacterial source tracking tool to discriminate fecal E. coli strains

Carlos, Camila; Maretto, Danilo Althmann; Poppi, Ronei J.; Sato, Maria Inês Z.; Ottoboni, Laura Maria Mariscal

doi:10.1016/j.microc.2011.03.002

Cited by 24 publications

(14 citation statements)

References 33 publications

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“…Bands at 1376 and 1463 cm -1 can be assigned to CH 3 and CH 2 bending modes respectively confirming presence of n-hexane. Bands at 2960, 2924 and 2855 cm -1 can be assigned to C-H asymmetric stretching of CH 3 , C-H asymmetric stretching of CH 2 and C-H symmetric stretching of CH 2 respectively [24]. Peak observed at 1639 cm -1 may correspond to the H-O-H bending vibrations [25].…”

Section: Ftir Analysismentioning

confidence: 97%

Optical, structural, catalytic and electrochemical properties of the Au nanoparticles synthesized using CTAB based gels

Upadhyay

Deshmukh

Saha

et al. 2015

J Mater Sci: Mater Electron

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Gold nanoparticles (Au NPs) were synthesized using Au containing CTAB gel as a precursor. The effect of concentration of NaBH 4 on the structural, optical, catalytic and electrochemical properties of the Au NPs was also investigated. With the increase of NaBH 4 concentration from 0.1 to 0.15 M, an increase in the particle size and change in the morphology from spherical to elliptical was observed. Absorption and emission properties of the Au NPs were also probed using UV-Vis and photoluminescence spectroscopy respectively.

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Section: Ftir Analysismentioning

confidence: 97%

Optical, structural, catalytic and electrochemical properties of the Au nanoparticles synthesized using CTAB based gels

Upadhyay

Deshmukh

Saha

et al. 2015

J Mater Sci: Mater Electron

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“…In recent years, diseases caused by foodborne pathogens such as E. coli, Salmonella, Listeria monocytogenes, or Shigella flexneri have become an important public health problem in the world. [120][121][122][123] Irrigation-induced contamination is one of the principal routes of vegetable spoilage, especially in those crops where the edible portion is in contact with the soil, such as lettuce, spinach, etc., which may be easily contaminated by pathogenic bacteria. Therefore, early detection plays a crucial role in protecting the consumer against infectious microorganisms, so being that the HSI technology one of the best options in this regard.…”

Section: Viable Microorganisms In Cerealsmentioning

confidence: 99%

Evaluation of biological contaminants in foods by hyperspectral imaging: A review

Mantilla

Jara

Yimer

2017

International Journal of Food Properties

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Responding to the ever-growing concern about safe foods and security, the food industries are forced to seek an emerging technology capable of detecting and quantifying contaminations, especially those of biological origin. Among the different emerging technologies, hyperspectral imaging is considered a good alternative as it can be easily applied at all steps of the food production process and is a non-destructive technique. This paper reviews targeted analytical applications of hyperspectral imaging in monitoring biological contaminants in food. First, traditional techniques for detection of biological contaminants in foods are presented, where disadvantages for practical applications are highlighted and explained in detail. Second, prominent applications of hyperspectral imaging from the last decade to food safety and quality assessment are reviewed, specifically focusing on both deteriorative and pathogenic microorganisms, microbial toxins, and parasites; whether acting individually or collectively in spoiling food products and/or represent a health risk to the consumers. Finally, relevant current and future challenges, advantages and disadvantages of hyperspectral imaging applications are briefly examined.

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“…38 The computed score plots give an idea of similarity among the samples whereas the loading plots show the importance of each variable in the modeling. 39 To obtain the PLS-DA model, the second derivative was applied to the spectra (as in the PCA procedure) and the OSC (orthogonal signal correction) algorithm 40 was utilized to eliminate unnecessary information from the model. The benefit of using the OSC-filter in PLS-DA, i.e.…”

Section: Ftir Data Treatment Model and Validationmentioning

confidence: 99%

“…41 In this procedure, the X matrix is corrected by the subtraction of the variation which is orthogonal to y and assigns a correspondence class to each sample. 39 These data were also mean-centered. The OSC-PLS-DA model was built considering the X matrix (FTIR spectra), while the y vector was associated with two different classes.…”

Section: Ftir Data Treatment Model and Validationmentioning

confidence: 99%

Irrigation and Light Access Effects on Coffea arabica L. Leaves by FTIR‑Chemometric Analysis

Sanchez¹,

Pauli²,

Scheel³

et al. 2017

J. Braz. Chem. Soc.

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Coffee bean chemical compositions has been extensively studied. However, there is a small amount of research on other parts of the coffee plant, including leaves. Fourier transform infrared (FTIR) spectral profiles of Coffea arabica L. cv. IAPAR 59 leaf extracts from a simplex-centroid design were studied by principal component analysis (PCA) to evaluate the effect of solvent extractor on its metabolites. PCA indicated that the extractor solvents containing ethanol were the most suitable for this study. FTIR spectra in conjunction with orthogonal signal correction and partial least squares-discrimination analysis (OSC-PLS-DA) were used to classify and discriminate the leaves of irrigated and non-irrigated plants by bands related to carbohydrates, amino acids and lipids. Leaves receiving different intensities of solar radiation were also discriminated by bands corresponding to caffeine, carbohydrates and lipids. FTIR spectral profile analyzed with chemometric tools showed to be a useful, powerful and simple procedure to discriminate coffee leaves collected from different microclimate conditions. Keywords:Coffea arabica leaves, simplex-centroid design, FTIR spectroscopy, chemometric analysis, environmental conditions IntroductionThe coffee plant is a woody, perennial, evergreen and dicotyledon species that belongs to the Rubiaceae family. 1,2 Among several species of the genus Coffea, two are considered economically important, i.e. Coffea canephora Pierre (Robusta coffee) and Coffea arabica L. (Arabica coffee). 3 The latter species represents 70% of world coffee production 2 due to finer flavor and aroma, and therefore is more consumed than Robusta. 4 Coffee is one of the most consumed beverages in the world 5,6 and an important raw material of the international trade. 4 Thus, due to its importance, the chemical composition of coffee beans has been extensively studied. However, there is relatively little research carried out on metabolites in other coffee plant parts, including the leaves.7-11 Phenolic compounds found in the coffee leaves 7 have been shown to be potentially beneficial for health, although the influence of consumption of these compounds on the human body requires further research. Other metabolite groups are found in coffee leaves, such as alkaloids, 12 several carbohydrates 13,14 and lipids 9 among others.Plant metabolites are susceptible to environmental changes and their responses can be evaluated by metabolomics analysis. 15 In periods of drought or excessive sun exposure, environmental stress can affect physiological processes in plants owing to their necessity to adapt to the new situation. In excess, these conditions can affect metabolic activities such as photosynthesis and growth rate modifying carbohydrate levels and protein synthesis. [16][17][18][19][20] In coffee plants, these changes may influence the metabolic quantities and consequently, the coffee bean quality. 9,21 Information about chemical modifications in coffee Sanchez et al. 169 Vol. 29, No. 1, 2018 leaves subjecte...

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Fourier transform infrared microspectroscopy as a bacterial source tracking tool to discriminate fecal E. coli strains

Cited by 24 publications

References 33 publications

Optical, structural, catalytic and electrochemical properties of the Au nanoparticles synthesized using CTAB based gels

Optical, structural, catalytic and electrochemical properties of the Au nanoparticles synthesized using CTAB based gels

Evaluation of biological contaminants in foods by hyperspectral imaging: A review

Irrigation and Light Access Effects on Coffea arabica L. Leaves by FTIR‑Chemometric Analysis

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