Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques

Ebrahimi‐Najafabadi, Heshmatollah; Leardi, Riccardo; Oliveri, Paolo; Casolino, Maria Chiara; Jalali‐Heravi, Mehdi; Lanteri, Silvia

doi:10.1016/j.talanta.2012.05.036

Cited by 93 publications

(48 citation statements)

References 36 publications

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“…This study [13] presents an application of near infrared spectroscopy for detection and quantification of the fraudulent addition of barley in roasted and ground coffee samples.…”

Section: Example Of Construction Of a Reliable Quantitative Model Formentioning

confidence: 99%

Spectroscopic fingerprinting techniques for food characterisation

Casale¹,

Bagnasco²,

Casolino³

et al. 2016

ACTA IMEKO

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The analysis of samples by using spectroscopic fingerprinting techniques is more and more common and widespread. Such approaches are very convenient, since they are usually fast, cheap and non-destructive. In many applications no sample pretreatment is required, the acquisition of the spectrum can be performed in about one minute and no solvents are required. As a consequence, the return on investment of the related technology is very high. The "disadvantage" of these techniques is that, being the signal non-selective, simple mathematical approaches (e.g., Lambert-Beer law) cannot be applied. Instead, a multivariate treatment must be performed by using chemometrics tools. In what concerns food analysis, they can be applied in several steps, from the evaluation of the quality and the conformity of raw material to the assessment of the quality of the final product, to the monitoring of the shelf life of the product itself. Another interesting field of application is the verification of food-authenticity claims, this being extremely important in the case of foods labeled as protected designation of origin (PDO), protected geographical indication (PGI) and traditional speciality guaranteed (TSG). In the present paper, it is described how non-selective signals can be used for obtaining useful information about a food.

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“…This study [13] presents an application of near infrared spectroscopy for detection and quantification of the fraudulent addition of barley in roasted and ground coffee samples.…”

Section: Example Of Construction Of a Reliable Quantitative Model Formentioning

confidence: 99%

Spectroscopic fingerprinting techniques for food characterisation

Casale¹,

Bagnasco²,

Casolino³

et al. 2016

ACTA IMEKO

Self Cite

View full text Add to dashboard Cite

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“…Soya bean products, widely used in the animal feed industry as a proteinbased feed ingredient, were checked for adulteration with melamine using NIR spectroscopy/PLS to detect the latter in dehulled soya, soya hulls, and toasted soya (39). The fraudulent addition of barley to roasted and ground coffee samples was identified and quantitated (40). Added sugar, total soluble solids, and real juice content in fresh and commercial mango juice were measured by MIR spectroscopy/PLS to predict the adulteration of mango juice by added sugar (41).…”

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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“…After holding 11 AICWs, significant progress has been achieved towards the two main goals of its foundation. Today, many Iranian chemists (especially analytical chemists) are familiar with chemometrics methods, and Iranian chemometricians have scientific collaborations with different chemometrics research groups around the world [3,4,6,[8][9][10][11][12][13][14][15][16][17][18][19][20]. Some of expert chemometricians have visited Iran.…”

Section: Workhops and Seminarsmentioning

confidence: 99%

A perspective on the growth of chemometrics in Iran: a glance into activities between 2005 and 2012

Naseri

Bahram

2013

Journal of Chemometrics

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Although the first publications in the field of chemometrics by Iranian researchers go back nearly 23 years, Iran's chemometrics has experienced significant growth after the year 2000. More than 1500 papers have been published by Iranian chemometricians between 2005 and 2012 which is about seven times more than those published before 2005. The aim of this review is to present a perspective about Iran's chemometrics developments. The role of enthusiastic students, motivated professors, annual workshops, and international collaborations is discussed in this work. After introducing the first papers in each field of chememotrics, the papers published during 2005–2012 were screened, and some of them were introduced. Copyright © 2013 John Wiley & Sons, Ltd.

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Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques

Cited by 93 publications

References 36 publications

Spectroscopic fingerprinting techniques for food characterisation

Spectroscopic fingerprinting techniques for food characterisation

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

A perspective on the growth of chemometrics in Iran: a glance into activities between 2005 and 2012

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