Authentication of “Avola almonds” by near infrared (NIR) spectroscopy and chemometrics

Firmani, Patrizia; Bucci, Remo; Marini, Federico; Biancolillo, Alessandra

doi:10.1016/j.jfca.2019.103235

Cited by 42 publications

(18 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the data pre-processing combinations shown in Table 4 and Table 5 are based on reduced wavenumber ranges, the selection of the wavelength range is even more important. In many studies, the whole analyzed range (around 11,550–3950 cm −1 ) is used, because elimination of wavenumbers could lead to a loss of information [ 21 , 55 , 56 ]. In the aforementioned spectra (see Figure 2 ), a lower information density is apparent in the range >9000 cm −1 , which rather deteriorates than improves the classification accuracy.…”

Section: Resultsmentioning

confidence: 99%

“…It can be concluded that an optimization of the data pre-processing is essential but no transferability to other matrices or research aims can be guaranteed. For example, other research groups, which are also working on NIR-based methods for detecting the origin of nuts, use different pre-processing strategies, although the matrix is in some cases very similar or identical [ 15 , 50 , 55 , 56 ]. For further, even non-targeted, approaches more emphasis should be put to the selection of the wavenumber range since this has a remarkable effect on the classification.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics

Arndt

Drees

Ahlers

et al. 2020

Foods

View full text Add to dashboard Cite

The prices of walnuts vary according to their geographical origin and, therefore, offer a financial incentive for adulteration. A reliable analysis method is required to quickly detect possible misdeclarations and thus prevent food fraud. In this study, a method to distinguish between seven geographical origins of walnuts using Fourier transform near-infrared (FT-NIR) spectroscopy combined with chemometrics as a fast, versatile, and easy to handle analytical tool was developed. NIR spectra of 212 ground and afterwards freeze-dried walnut samples, harvested in three consecutive years (2017–2019), were collected. We optimized the data pre-processing by applying and evaluating 50,545 different pre-processing combinations, followed by linear discriminant analysis (LDA) which was confirmed by nested cross-validation. The results show that in the scope of our research minimal pre-processing led to the best results: By applying just multiplicative scatter correction (MSC) and median centering, a classification accuracy of 77.00% ± 1.60% was achieved. Consequently, this complex model can be used to answer economically relevant questions e.g., to distinguish between European and Chinese walnuts. Furthermore, the great influence of the applied pre-processing methods, e.g., the selected wavenumber range, on the achieved classification accuracy is shown which underlines the importance of optimization of the pre-processing strategy.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics

Arndt

Drees

Ahlers

et al. 2020

Foods

View full text Add to dashboard Cite

show abstract

“…Apart from IRMS and ICP-MS, there were other publications that suggest that IR and chemometrics can be used for the detection of the origin of agri-food products [20,21,[40][41][42][43][44][45][46].…”

Section: Published Research For Geographical Origin Authentication Frmentioning

confidence: 99%

Geographical Origin Authentication of Agri-Food Products: A Review

Katerinopoulou

Kontogeorgos

Salmas

et al. 2020

Foods

View full text Add to dashboard Cite

This study is a systematic literature review of geographical origin authentication by elemental analytical techniques. Authentication and certification of geographic origin of agri-food products is a useful tool toward the protection of the quality for products. The aim of this work was to map the current state of research in the area of agricultural products and food, identifying emerging fields to the geographical origin of products. The article is divided in three parts. The first part of the article deals with the analytical techniques applied in the food authentication. Special mention is made to elemental analysis and multiple isotope ratio. The second section focuses on statistically published data concerning published research for geographical origin authentication for the period 2015–2019. Specific results are presented inter alia: number of articles according to the type of product, articles according to the type of the analytical techniques, and others. The third part contains characteristic results from articles that were published in the period 2015–2019, on certification of geographical origin on specific agricultural products.

show abstract

“…These two instrumental techniques were chosen because they are relatively rapid, non-destructive, and they have demonstrated to be suitable allies against frauds in food matrices [7][8][9][10][11]. On the other hand, the choice of the classifier fell on data fusion (DF) approaches because, when applicable, multi-block methodologies are expected to perform better than the disjoint analysis of the individual data blocks [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Sequential Data Fusion Techniques for the Authentication of the P.G.I. Senise (“Crusco”) Bell Pepper

et al. 2021

Self Cite

View full text Add to dashboard Cite

Bell pepper is the common name of the berry obtained from some varieties of the Capsicum annuum species. This agro-food is appreciated all over the world and represents one of the key ingredients of several traditional dishes. It is used as a fresh product, or dried and ground as a seasoning (e.g., paprika). Specific varieties of sweet pepper present organoleptic peculiarities and they have been awarded by quality marks as a further confirmation of their unicity (e.g., Piment d’Espelette, Pimiento de Herbón, Peperone di Senise). Due to the market value of this aliment, it can be subjected to frauds, such as adulterations and sophistication. The present study lays on these considerations and aims at developing a spectroscopy-based approach for authenticating Senise bell pepper and for detecting its adulteration with common paprika. In order to achieve this goal, 60 pure samples of bell pepper from Senise were analyzed by mid- and near-infrared spectroscopies. Then, in order to mimic the adulteration, 40 mixtures of Senise bell pepper and paprika were prepared and analyzed (by the same spectroscopic techniques). Eventually, two different multi-block classification approaches (sequential and orthogonalized partial least squares linear discriminant analysis and sequential and orthogonalized covariance selection linear discriminant analysis) were used to discriminate between pure and adulterated Senise bell pepper samples. Both proposed procedures achieved extremely successful results in external validation, correctly classifying all the (thirty-five) test samples, indicating that both approaches represent a winning solution for the investigated classification problem.

show abstract

Authentication of “Avola almonds” by near infrared (NIR) spectroscopy and chemometrics

Cited by 42 publications

References 31 publications

Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics

Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics

Geographical Origin Authentication of Agri-Food Products: A Review

Sequential Data Fusion Techniques for the Authentication of the P.G.I. Senise (“Crusco”) Bell Pepper

Contact Info

Product

Resources

About