Vis-NIR spectroscopic and chemometric models for detecting contamination of premium green banana flour with wheat by quantifying resistant starch content

Ndlovu, Phindile Faith; Magwaza, Lembe Samukelo; Tesfay, S.Z.; Mphahlele, Rebogile R.

doi:10.1016/j.jfca.2021.104035

Cited by 13 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. 157–166…”

Section: Quantitative Methods For Monitoring Photopolymerization Reac...mentioning

confidence: 99%

“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. [157][158][159][160][161][162][163][164][165][166] The basic analysis of the reflectivity suitability of NIR spectroscopy for on-line monitoring of the conversion rate of very thin, both transparent and pigment-containing, acrylate coatings on various substrates (i.e., PP film, paper, wood, MDF) was performed by Scherzer et al 30,167,168,311 This technique can be successfully used to monitor the conversion of double acrylate bonds in thin layers around a few μm under UV exposure, both on a laboratory scale and on a semi-technical coating line. [169][170][171] In addition, a very good linear correlation has been found between the results of the NIR technique and those of the FTIR spectroscopy and the HPLC technique for the determination of monomer conversions, although chromatographic methods show higher conversion values than spectroscopic methods.…”

Section: Near-infrared Spectroscopymentioning

confidence: 99%

See 1 more Smart Citation

Review of quantitative and qualitative methods for monitoring photopolymerization reactions

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. 157–166…”

Section: Quantitative Methods For Monitoring Photopolymerization Reac...mentioning

confidence: 99%

Section: Near-infrared Spectroscopymentioning

confidence: 99%

Review of quantitative and qualitative methods for monitoring photopolymerization reactions

et al. 2023

View full text Add to dashboard Cite

show abstract

“…On the other hand, limited studies have been conducted to detect adulteration using visible-near-IR (Vis-NIR) spectroscopy. Some focused on adulterating desiccated coconut powder with coconut milk residue (Pandiselvam et al, 2022) or green banana flour with wheat (Ndlovu et al, 2021). Nonetheless, studies for detecting adulteration of non-organic to organic soybean flours using Vis-NIR spectra have not been studied.…”

Section: Introductionmentioning

confidence: 99%

Visible-Near-Infrared Spectroscopy and Chemometrics for Authentication Detection of Organic Soybean Flour

Masithoh¹,

Pahlawan²,

Saputri³

et al. 2023

JST

View full text Add to dashboard Cite

Organic and non-organic soybean flours, although visually indifferent, have a significant difference in price and nutrition content. Therefore, the accurate authentication detection of organic soybean flour is necessary. Visible-near-infrared (Vis-NIR) spectroscopy coupled with chemometric methods is a non-destructive technique applied to detect authentic or adulterated organic soybean flour. The spectra of organic, adulterated organic, and non-organic soybean flours were captured using a Vis-NIR spectrometer at 350–1000 nm. The spectra were analyzed using partial least squares (PLS), principal component analysis (PCA), and the combination of these two with discriminant analysis (DA). The results showed that PCA using PC1 and PC2 could differentiate organic and non-organic soybean flours, whereas PC1 and PC4 can detect pure and adulterated organic soybean flours. The PCA–linear DA models showed 98.5% accuracy (Acc) for predicting pure organic and adulterated soybean flours and 100% Acc for predicting organic and non-organic flours. Moreover, PLS regression models resulted in a high R² of >95% for predicting organic and non-organic flours and pure and adulterated soybean flours. In addition, the PLS-DA models can differentiate organic from non-organic soybean flour and distinguish pure and adulterated soybean flours with 100% Acc and reliability.

show abstract

“…The analytical methodologies commonly employed for ascertaining the botanical origin of starch typically encompass indirect techniques, including optical and electron microscopy, as well as analytical methods reliant on (i) enzymatic reactions, (ii) chromatography, (iii) X-ray diffraction, and various spectroscopic techniques [10][11][12][13][14][15][16][17][18]. Nonetheless, these approaches are time-consuming and necessitate specific pretreatments of the sample, such as starch extraction and subsequent analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Among the fast and non-invasive analytical techniques, near-infrared (NIR) spectroscopy can be particularly suitable for determining the chemical composition of components in a variety of complex organic samples [18][19][20][21]. Recent advancements in instrumentation, miniaturization, wireless communication systems, and sophisticated algorithms dedicated to statistical data processing have facilitated the development of numerous applications in various research fields, enabling an at-line, on-line, and in-line non-destructive analysis of a wide array of food products.…”

Section: Introductionmentioning

confidence: 99%

Near Infrared and UV-Visible Spectroscopy Coupled with Chemometrics for the Characterization of Flours from Different Starch Origins

Pellacani,

Borsari,

Cocchi

et al. 2023

Chemosensors

View full text Add to dashboard Cite

This work tested near-infrared (NIR) and UV-visible (UV-Vis) spectroscopy coupled with chemometrics to characterize flours from different starch origins. In particular, eighteen starch-containing flours (e.g., type 00 flour, rye, barley, soybean, chestnut, potato, spelt, buckwheat, oat, millet, rice, durum wheat, amaranth, chickpea, sesame, corn, hemp and sunflower flours) were analyzed with a twofold objective: chemically characterizing the investigated flours and laying the groundwork for the development of a fast and suitable method that can identify the botanical source of starch in food. This could ensure ingredient traceability and aid in preventing/detecting food fraud. Untargeted approaches were used for this study, involving the simultaneous acquisition of a large amount of chemical information (UV-Vis on extracted starch and NIR signals on raw flours) coupled with chemometric techniques. UV-VIS spectra were acquired between 225 and 800 nm after sample pretreatment to extract starch. NIR spectra were acquired between 900 and 1700 nm using a poliSPEC NIRe portable instrument on the flours without any kind of pretreatments. An initial exploratory investigation was conducted using principal component analysis and cluster analysis, obtaining interesting preliminary information on patterns among the investigated flours. In particular, the UV-Vis model successfully discerned samples such as potato, chestnut, sunflower, durum wheat, sesame, buckwheat, rice, corn, spelt and 00-type flours. PCA model results obtained from the analysis of NIR spectra also provided comparable results with the UV-Vis model, particularly highlighting the differences observed between hemp and potato flours with soybean flour. Some similarities were identified between other flours, such as barley and millet, rye and oats, and chickpea and amaranth. Therefore, some flour samples underwent surface analysis via scanning electron microscope (SEM) using the Nova NanoSEM 450 to detect distinctive morphology.

show abstract

Vis-NIR spectroscopic and chemometric models for detecting contamination of premium green banana flour with wheat by quantifying resistant starch content

Cited by 13 publications

References 30 publications

Review of quantitative and qualitative methods for monitoring photopolymerization reactions

Review of quantitative and qualitative methods for monitoring photopolymerization reactions

Visible-Near-Infrared Spectroscopy and Chemometrics for Authentication Detection of Organic Soybean Flour

Near Infrared and UV-Visible Spectroscopy Coupled with Chemometrics for the Characterization of Flours from Different Starch Origins

Contact Info

Product

Resources

About