A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere

Gaspardo, B.; Zotto, Stefania Del; Torelli, Emanuela; Cividino, Sirio; Firrao, Giuseppe; Riccia, Giacomo Della; Stefanon, Bruno

doi:10.1016/j.foodchem.2012.06.078

Cited by 63 publications

(57 citation statements)

References 19 publications

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“…In order to avoid contaminants being noticed only if symptoms of intoxication have occurred after intake, affordable, rapid, and reliable direct analysis techniques to detect contaminants in advance are mandatory. In addition to NIR methods, the differentiation between corn samples with a fumonisin content below and above 4 mg kg −1 using a PLS-based method and the differentiation between deoxynivalenol contamination levels below or above 60 ppm have also been realized using MIR spectra collected via FTIR-based techniques (135,136). It is anticipated that MIR analyzers based on QCL light sources and thin-film waveguides may provide an advanced platform technology for detecting contaminants such as mycotoxins in a variety of commodities with high sensitivity and at field-usable dimensions (29,137,138).…”

Section: Liquid Phase: Biomedical Applications and Process Monitoringmentioning

confidence: 99%

Advances in Mid-Infrared Spectroscopy for Chemical Analysis

Haas

Mizaikoff

2016

Annual Rev. Anal. Chem.

288

147

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Infrared spectroscopy in the 3-20 μm spectral window has evolved from a routine laboratory technique into a state-of-the-art spectroscopy and sensing tool by benefitting from recent progress in increasingly sophisticated spectra acquisition techniques and advanced materials for generating, guiding, and detecting mid-infrared (MIR) radiation. Today, MIR spectroscopy provides molecular information with trace to ultratrace sensitivity, fast data acquisition rates, and high spectral resolution catering to demanding applications in bioanalytics, for example, and to improved routine analysis. In addition to advances in miniaturized device technology without sacrificing analytical performance, selected innovative applications for MIR spectroscopy ranging from process analysis to biotechnology and medical diagnostics are highlighted in this review.

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Section: Liquid Phase: Biomedical Applications and Process Monitoringmentioning

confidence: 99%

Advances in Mid-Infrared Spectroscopy for Chemical Analysis

Haas

Mizaikoff

2016

Annual Rev. Anal. Chem.

288

147

View full text Add to dashboard Cite

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“…The ability of PLS classification models was lower than the ability of LDA classification models. Gaspardo et al (2012) and Giacomo and Stefania (2013) used FT-NIR spectroscopy for the detection of fumonisin in corn meal and maize, respectively. Giacomo and Stefania (2013) showed that their obtained calibration and prediction plot emphasized the 4 mg kg -1 threshold that is stipulated by EU regulation.…”

Section: Application In Grainsmentioning

confidence: 99%

Spectroscopic Techniques for Nondestructive Detection of Fungi and Mycotoxins in Agricultural Materials: A Review

Min¹,

Cho

2015

Journal of Biosystems Engineering

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Purpose: Fungal secondary metabolite (mycotoxin) contamination in foods can pose a serious threat to humans and animals. Spectroscopic techniques have proven to be potential alternative tools for early detection of mycotoxins. Thus, the aim of this review is to provide an overview of the current developments in nondestructive food safety testing techniques, particularly regarding fungal contamination testing in grains, focusing on the application of spectroscopic techniques to this problem. Methods: This review focuses on the use of spectroscopic techniques for the detection of fungi and mycotoxins in agricultural products as reported in the literature. It provides an overview of the characteristics of the main spectroscopic methods and reviews their applications in grain analysis. Results: It was found that spectroscopy has advantages over conventional methods used for fungal contamination detection, particularly when combined with chemometrics. These advantages include the rapidness and nondestructive nature of this approach. Conclusions: While spectroscopy offers many benefits for the detection of mycotoxins in agricultural products, a number of limitations exist, which must be overcome prior to widespread adoption of these techniques.

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“…Microbial spoilage was detected on Atlantic salmon (Salmo salar) by a PLS model that predicts the number of bacteria that would be present after 9 days of storage (42). Also, aflatoxin B1 was measured in red chili powder (43) and the fungal toxins fumonisin B1 and B2 in corn meal (44).…”

Section: Food Analysismentioning

confidence: 99%

Recent Applications of First- and Second-Order Multivariate Calibration to Analytical Chemistry

Arancibia

Damiani

Ibáñez

et al. 2014

Journal of AOAC INTERNATIONAL

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This report reviews recent literature on the application of multivariate calibration techniques to both first- and second-order data, aimed at the analytical determination of analytes of interest or sample properties in a variety of industrial, pharmaceutical, food, and environmental samples, including examples of process control. The most used data processing tools are briefly described, with emphasis on the advantages that can be obtained by applying specific combinations of multivariate data and algorithms. The main focus is on works devoted to first-order data (i.e., spectra, chromatograms, etc.) combined with partial least-squares regression, which has become the standard for this type of analytical research. A brief discussion on recent work on second-order data and algorithms is also included, as this field is rapidly growing, although at present it does not show, the general applicability of the first-order counterparts.

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A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere

Cited by 63 publications

References 19 publications

Advances in Mid-Infrared Spectroscopy for Chemical Analysis

Advances in Mid-Infrared Spectroscopy for Chemical Analysis

Spectroscopic Techniques for Nondestructive Detection of Fungi and Mycotoxins in Agricultural Materials: A Review

Recent Applications of First- and Second-Order Multivariate Calibration to Analytical Chemistry

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