scholarly journals Chemometric Strategies for Spectroscopy-Based Food Authentication

2020 ◽  
Vol 10 (18) ◽  
pp. 6544 ◽  
Author(s):  
Alessandra Biancolillo ◽  
Federico Marini ◽  
Cyril Ruckebusch ◽  
Raffaele Vitale

In the last decades, spectroscopic techniques have played an increasingly crucial role in analytical chemistry, due to the numerous advantages they offer. Several of these techniques (e.g., Near-InfraRed—NIR—or Fourier Transform InfraRed—FT-IR—spectroscopy) are considered particularly valuable because, by means of suitable equipment, they enable a fast and non-destructive sample characterization. This aspect, together with the possibility of easily developing devices for on- and in-line applications, has recently favored the diffusion of such approaches especially in the context of foodstuff quality control. Nevertheless, the complex nature of the signal yielded by spectroscopy instrumentation (regardless of the spectral range investigated) inevitably calls for the use of multivariate chemometric strategies for its accurate assessment and interpretation. This review aims at providing a comprehensive overview of some of the chemometric tools most commonly exploited for spectroscopy-based foodstuff analysis and authentication. More in detail, three different scenarios will be surveyed here: data exploration, calibration and classification. The main methodologies suited to addressing each one of these different tasks will be outlined and examples illustrating their use will be provided alongside their description.

2015 ◽  
Vol 7 (2) ◽  
pp. 736-746 ◽  
Author(s):  
S. Assi ◽  
A. Guirguis ◽  
S. Halsey ◽  
S. Fergus ◽  
J. L. Stair

Three handheld spectrometers, near-infrared (NIR), Raman and attenuated total reflectance Fourier transform-infrared (ATR-FT-IR) spectroscopy, were used for the identification of ‘legal high’ model mixtures and Internet products.


2020 ◽  
Vol 83 (1) ◽  
pp. 75-83
Author(s):  
Siti Aishah Mohd Ali ◽  
Jalifah Latip

Rapid methods based on untargeted analysis technique such as Fourier Transform Infrared (FT-IR) spectroscopy can provide much faster and easier solution for food authentication. However, studies on the metabolite content in UKMR-2 calyces using FT-IR spectroscopy has not been reported yet in any previous studies. Thus, the present study was performed to analyze the differences in metabolite content in UKMR-2 calyces under the influences of different [CO2] treatment by applying tri-step infrared based fingerprinting. The UKMR-2 plant cultivation was exposed to ambient [CO2] (400 µmol/mol) and elevated [CO2] (800 µmol/mol) treatment. The UKMR-2 calyx extracts were analysed by conventional infrared (1D-IR), second derivative infrared (SD-IR) and two-dimensional correlation infrared (2D-IR) spectroscopy. The 1D-IR spectrum results revealed a similar absorption spectrum in the range of 1900 - 650 cm-1, which suggest similar major metabolites content present in both extracts. For SD-IR spectrum, both treatments clearly showed have more peaks with different shape, position and intensity in the range of 1650 - 1450 cm-1 and 1200 - 950 cm-1, which is likely to have different flavonoid and carbohydrate content in UKMR-2 calyces. The 2D-IR synchronous correlation spectrum in the range of 1000 – 650 cm-1 clearly distinguished the metabolite content in the UKMR-2 calyx extract from different [CO2] treatment. Therefore, this tri-step infrared based fingerprinting has the potential as one of the effective methods to discriminate extract samples with similar infrared fingerprint features and indicate that the metabolite content in UKMR-2 calyces were influenced by different [CO2] treatments.


2019 ◽  
Vol 411 (20) ◽  
pp. 5127-5138 ◽  
Author(s):  
Signe Vahur ◽  
Liisa Eero ◽  
Jaan Lehtaru ◽  
Kristina Virro ◽  
Ivo Leito

Author(s):  
Shlomo Shoval

The chapter reviews the use of Fourier Transform Infrared Spectroscopy (FT-IR) in study of ancient pottery and its applications to archaeology. FT-IR is a powerful technique for assessing the mineralogical composition of ancient ceramics and is, almost, non-destructive for the pottery. This method can be applied in analyses of the composition of the bulk ceramic as well as of particular pottery attributes, such as separated pastes, temper particles, binders, glazes, slips, paints, and pigments. FT-IR spectroscopy has the advantage of being able to detect both, the crystalline minerals as well as the pseudo-amorphous fired-clay in the ceramic fabric. The assessing of the mineralogical composition of the ceramics can be used in their classification, sourcing, and estimation of firing temperature. Applying spectral analysis by second-derivative and curve-fitting techniques is adding a quantitative dimension to the mineralogical analysis.


2017 ◽  
Vol 71 (11) ◽  
pp. 2457-2468
Author(s):  
Mijanur Rahman ◽  
Pakorn Opaprakasit

Standard techniques for quantitative measurement of polyacrylamide (PAm) contents grafted on polylactide (PLA) film substrates, P(LA- g-Am- co-MBAm), which are commonly used as cell culture substrates or scaffolds, and pH-sensitive absorbents have been developed with X-ray photoelectron (XPS), proton-nuclear magnetic resonance (1H-NMR), and Fourier transform infrared (FT-IR) spectroscopy. The techniques are then applied to examine P(LA- g-Am- co-MBAm) samples prepared from two separate photo-initiator/co-initiator systems. Efficiency and accuracy of the techniques are compared. The results from all techniques are in good agreement, indicating high analysis precisions, although FT-IR technique provides additional advantages, in terms of short analysis time, ease of sample preparation, and accessibility of a machine. The results indicate that the riboflavin (RF) initiator system has higher grafting efficiency than its camphorquinone (CQ) counterpart. These standard techniques can be applied in the analysis of these materials and further modified for quantitative analysis of other grafting systems.


Author(s):  
Maja Skenderovska ◽  
Biljana Minčeva-Šukarova ◽  
Liljana Andreeva

Raman and infrared spectroscopy are two complementary spectroscopic techniques that can produce fast, efficient and accurate detection of the pigments and/or binders used in automotive topcoats. Micro-Raman spectroscopy, due to its non-destructiveness, has been extensively used for identification of pigments and dyes in forensic investigation of hit-and-run accidents. This technique provides very useful and significant information from very small samples of evidence without any previous preparation of the sample. The recorded Raman spectra of the unknown/ suspected samples can be compared with a spectrum of the referent sample, which can coincide with the one already existing in the Raman database of pigments. In order to form our own spectral database of automotive paints for forensic investigations in hit-and-run offences in Republic of Macedonia, an investigation of automotive topcoats of different origins was carried out. In our previous study, pigments in some automotive topcoats, produced by Mobihel, have been identified using micro- Raman and FT-IR spectroscopy. In the present study, we report micro-Raman and FT-IR spectra of ten base coat automotive topcoats, as well as some of their mixtures, produced by Glasürit. In order to demonstrate the availability and/or the advantages of the micro-Raman spectroscopic technique in forensic investigation in road accidents, four successfully solved cases from the police investigation in hit-and-run accidents are presented in this work.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6278
Author(s):  
Ahmed Menevseoglu ◽  
Didem P. Aykas ◽  
Beatriz Hatta-Sakoda ◽  
Victor Hugo Toledo-Herrera ◽  
Luis E. Rodriguez-Saona

Handheld Raman and portable FT-IR spectroscopy devices were evaluated for fast and non-invasive determination of methanol and ethanol levels in Peruvian Pisco. Commercial Peruvian Pisco (n = 171) samples were kindly provided by the UNALM Alliance for Research in Alcohol and its Derivatives (Lima, Peru) and supplemented by purchases at grocery and online stores. Pisco spectra were collected on handheld Raman spectrometers equipped with either a 1064 nm or a 785 nm excitation laser and a portable infrared unit operating in transmission mode. The alcohol levels were determined by GC–MS. Calibration models used partial least-squares regression (PLSR) to develop prediction algorithms. GC–MS data revealed that 10% of Pisco samples had ethanol levels lower than 38%, indicating possible water dilution. Methanol levels ranged from 10 to 130 mg/100 mL, well below the maximum levels allowed for fruit brandies. Handheld Raman equipped with a 1064 nm excitation laser gave the best results for determining ethanol (SEP = 1.2%; RPre = 0.95) and methanol (SEP = 1.8 mg/100 mL; RPre = 0.93). Randomly selected Pisco samples were spiked with methanol (75 to 2800 mg/100 mL), and their Raman spectra were collected through their genuine commercial bottles. The prediction models gave an excellent performance (SEP = 98 mg/100 mL; RPre = 0.97), allowing for the non-destructive and non-contact determination of methanol and ethanol concentrations without opening the bottles.


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