Monitoring Microbial Spoilage of Foods by Vibrational Spectroscopy (FT-IR & Raman)

2014 ◽  
pp. 386-434 ◽  
Author(s):  
Anthoula Argyri ◽  
Efstathios Panagou ◽  
George–John Nychas
Keyword(s):  
Vibrational Spectroscopy ◽  
Microbial Spoilage ◽  
Ft Ir

scholarly journals Polyethylene Migration from Food Packaging on Cheese Detected by Raman and Infrared (ATR/FT-IR) Spectroscopy

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 3872
Author(s):  
Klytaimnistra Katsara ◽  
George Kenanakis ◽  
Zacharias Viskadourakis ◽  
Vassilis M. Papadakis
Keyword(s):  
Vibrational Spectroscopy ◽  
Food Packaging ◽  
Time Frame ◽  
Low Density Polyethylene ◽  
Low Density ◽  
Ft Ir ◽  
Comparative Results ◽  
Short Time ◽  
And Storage ◽  
Ft Ir Spectroscopy

For multiple years, food packaging migration has been a major concern in food and health sciences. Plastics, such as polyethylene, are continuously utilized in food packaging for preservation and easy handling purposes during transportation and storage. In this work, three types of cheese, Edam, Kefalotyri and Parmesan, of different hardness were studied under two complementary vibrational spectroscopy methods, ATR-FTIR and Raman spectroscopy, to determine the migration of low-density polyethylene from plastic packaging to the surface of cheese samples. The experimental duration of this study was set to 28 days due to the degradation time of the selected cheese samples, which is clearly visible after 1 month in refrigerated conditions at 4 °C. Raman and ATR-FTIR measurements were performed at a 4–3–4–3 day pattern to obtain comparative results. Initially, consistency/repeatability measurement tests were performed on Day0 for each sample of all cheese specimens to understand if there is any overlap between the characteristic Raman and ATR-FTIR peaks of the cheese with the ones from the low-density polyethylene package. We provide evidence that on Day14, peaks of low-density polyethylene appeared due to polymeric migration in all three cheese types we tested. In all cheese samples, microbial outgrowth started to develop after Day21, as observed visually and under the bright-field microscope, causing peak reverse. Food packaging migration was validated using two different approaches of vibrational spectroscopy (Raman and FT-IR), revealing that cheese needs to be consumed within a short time frame in refrigerated conditions at 4 °C.

scholarly journals Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning

2002 ◽  
Vol 68 (6) ◽  
pp. 2822-2828 ◽  
Author(s):  
David I. Ellis ◽  
David Broadhurst ◽  
Douglas B. Kell ◽  
Jem J. Rowland ◽  
Royston Goodacre
Keyword(s):  
Fourier Transform ◽  
Control Point ◽  
Fourier Transform Infrared ◽  
Sample Surface ◽  
Quantitative Detection ◽  
Least Squares Regression ◽  
Noninvasive Technique ◽  
Microbial Spoilage ◽  
Critical Control Point ◽  
Ft Ir

ABSTRACT Fourier transform infrared (FT-IR) spectroscopy is a rapid, noninvasive technique with considerable potential for application in the food and related industries. We show here that this technique can be used directly on the surface of food to produce biochemically interpretable “fingerprints.” Spoilage in meat is the result of decomposition and the formation of metabolites caused by the growth and enzymatic activity of microorganisms. FT-IR was exploited to measure biochemical changes within the meat substrate, enhancing and accelerating the detection of microbial spoilage. Chicken breasts were purchased from a national retailer, comminuted for 10 s, and left to spoil at room temperature for 24 h. Every hour, FT-IR measurements were taken directly from the meat surface using attenuated total reflectance, and the total viable counts were obtained by classical plating methods. Quantitative interpretation of FT-IR spectra was possible using partial least-squares regression and allowed accurate estimates of bacterial loads to be calculated directly from the meat surface in 60 s. Genetic programming was used to derive rules showing that at levels of 107 bacteria·g−1 the main biochemical indicator of spoilage was the onset of proteolysis. Thus, using FT-IR we were able to acquire a metabolic snapshot and quantify, noninvasively, the microbial loads of food samples accurately and rapidly in 60 s, directly from the sample surface. We believe this approach will aid in the Hazard Analysis Critical Control Point process for the assessment of the microbiological safety of food at the production, processing, manufacturing, packaging, and storage levels.

Analytical Applications of Matrix Isolation Fourier Transform Infrared Spectroscopy

1982 ◽  
Vol 36 (4) ◽  
pp. 339-347 ◽  
Author(s):  
G. Mamantov ◽  
A. A. Garrison ◽  
E. L. Wehry
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Vibrational Spectroscopy ◽  
Matrix Isolation ◽  
Fourier Transform Infrared ◽  
Chromatographic Separations ◽  
Analytical Applications ◽  
Matrix Isolation Spectroscopy ◽  
Ft Ir

A review of analytical applications of matrix isolation Fourier transform infrared spectroscopy is presented. The characteristics of matrix isolation spectroscopy are discussed along with practical techniques for obtaining analytically useful results. A few studies relating to matrix isolation used in conjunction with Raman and conventional IR spectroscopy are reviewed. The majority of analytical applications of matrix isolation vibrational spectroscopy has entailed the use of FT-IR techniques. Qualitative and quantitative results from a number of sample types are presented. The coupling of matrix isolation vibrational spectroscopy with chromatographic separations is reviewed.

The effect of high external pressure on the structure and stability of MOF α-Mg3(HCOO)6 probed by in situ Raman and FT-IR spectroscopy

2015 ◽  
Vol 3 (22) ◽  
pp. 11976-11984 ◽  
Author(s):  
Haiyan Mao ◽  
Jun Xu ◽  
Yue Hu ◽  
Yining Huang ◽  
Yang Song
Keyword(s):  
High Pressure ◽  
Ir Spectroscopy ◽  
Vibrational Spectroscopy ◽  
External Pressure ◽  
Structural Transitions ◽  
In Situ Raman ◽  
Ft Ir ◽  
High Pressure Study ◽  
Ft Ir Spectroscopy

A first high-pressure study on MOF α-Mg3(HCOO)6 probed by in situ vibrational spectroscopy revealed strongly contrasting host-dependent structural transitions and stabilities.

A High-Sensitivity Femtosecond to Microsecond Time-Resolved Infrared Vibrational Spectrometer

2005 ◽  
Vol 59 (4) ◽  
pp. 467-473 ◽  
Author(s):  
Michael Towrie ◽  
Anders Gabrielsson ◽  
Pavel Matousek ◽  
Anthony W. Parker ◽  
Ana Maria Blanco Rodriguez ◽  
...  
Keyword(s):  
Vibrational Spectroscopy ◽  
Flash Photolysis ◽  
Laser System ◽  
Metal Carbonyl ◽  
High Sensitivity ◽  
Relaxation Dynamics ◽  
Regenerative Amplifier ◽  
Time Resolved ◽  
Transient Data ◽  
Ft Ir

We describe an apparatus that provides, for the first time, a seamless bridge between femtosecond and microsecond time-resolved Raman and infrared vibrational spectroscopy. The laser system comprises an actively Q-switched sub-nanosecond pulsed kilohertz laser electronically synchronized to an ultrafast titanium sapphire regenerative amplifier to within 0.2 ns. The ultrafast amplifier provides the stable probe light source enabling high-sensitivity infrared vibrational spectroscopy of transients. Time-resolved infrared spectra of the excited-state relaxation dynamics of metal carbonyl compounds are presented to illustrate the capability of the apparatus, and transient data is resolved from 1 picosecond to over 100 microseconds. The results are compared to conventional nanosecond Fourier transform infrared (FT-IR) and laser based flash photolysis time-resolved infrared technology.

Validated Approaches for Quantification of Bone Mineral Crystallinity Using Transmission Fourier Transform Infrared (FT-IR), Attenuated Total Reflection (ATR) FT-IR, and Raman Spectroscopy

2018 ◽  
Vol 72 (11) ◽  
pp. 1581-1593 ◽  
Author(s):  
William Querido ◽  
Ramyasri Ailavajhala ◽  
Mugdha Padalkar ◽  
Nancy Pleshko
Keyword(s):  
Raman Spectroscopy ◽  
Fourier Transform ◽  
Ir Spectra ◽  
Vibrational Spectroscopy ◽  
Bone Mineral ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Ft Ir ◽  
Mineral Crystallinity ◽  
Ir And Raman

Bone mineral crystallinity is an important factor determining bone quality and strength. The gold standard method to quantify crystallinity is X-ray diffraction (XRD), but vibrational spectroscopic methods present powerful alternatives to evaluate a greater variety of sample types. We describe original approaches by which transmission Fourier transform infrared (FT-IR), attenuated total reflection (ATR) FT-IR, and Raman spectroscopy can be confidently used to quantify bone mineral crystallinity. We analyzed a range of biological and synthetic apatite nanocrystals (10–25 nm) and found strong correlations between different spectral factors and the XRD determination of crystallinity. We highlight striking differences between FT-IR spectra obtained by transmission and ATR. In particular, we show for the first time the absence of the 1030 cm−1 crystalline apatite peak in ATR FT-IR spectra, which excludes its use for analyzing crystallinity using the traditional 1030/1020 cm−1 ratio. The ν4PO4 splitting ratio was also not adequate to evaluate crystallinity using ATR FT-IR. However, we established original approaches by which ATR FT-IR can be used to determine apatite crystallinity, such as the 1095/1115 and 960/1115 cm−1 peak ratios in the second derivative spectra. Moreover, we found a simple unified approach that can be applied for all three vibrational spectroscopy modalities: evaluation of the ν1PO4 peak position. Our results allow the recommendation of the most reliable analytical methods to estimate bone mineral crystallinity by vibrational spectroscopy, which can be readily implemented in many biomineralization, archeological and orthopedic studies. In particular, we present a step forward in advancing the use of the increasingly utilized ATR FT-IR modality for mineral research.

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