Recent Applications of Vibrational Spectroscopic Techniques in the Grain Industry

Pandiselvam, R.; Sruthi, N.U.; Kumar, Ankit; Kothakota, Anjineyulu; Thirumdas, Rohit; Ramesh, S. V.; Cozzolino, Daniel

doi:10.1080/87559129.2021.1904253

Cited by 20 publications

(3 citation statements)

References 127 publications

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“…Some of the general applications of Raman spectroscopy include the detection of crop diseases and toxin components as well as the evaluation of structural and compositional analysis of agricultural products (Nadimi et al., 2021b). In the case of intact wheat, the applications of Raman spectroscopy have been shown on fungi and mycotoxin detection (Egging et al., 2018; Jia et al., 2020; Moskovskiy et al., 2021; Pandiselvam et al., 2021) and protein quality evaluation (Kłosok et al., 2021; Stawoska et al., 2021). MIR spectroscopy is often used for the quality evaluation of grains.…”

Section: Measurement Techniquesmentioning

confidence: 99%

Enhancing traceability of wheat quality through the supply chain

Nadimi

Hawley²,

Liu

et al. 2023

Comp Rev Food Sci Food Safe

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With the growing global population, the need for food is expected to grow tremendously in the next few decades. One of the key tools to address such growing food demand is minimizing grain losses and optimizing food processing operations. Hence, several research studies are underway to reduce grain losses/degradation at the farm (upon harvest) and later during the milling and baking processes. However, less attention has been paid to changes in grain quality between harvest and milling. This paper aims to address this knowledge gap and discusses possible strategies for preserving grain quality (for Canadian wheat in particular) during unit operations at primary, process, or terminal elevators. To this end, the importance of wheat flour quality metrics is briefly described, followed by a discussion on the effect of grain properties on such quality parameters. This work also explores how drying, storage, blending, and cleaning, as some of the common post-harvest unit operations, could affect grain's end-product quality. Finally, an overview of the available techniques for grain quality monitoring is provided, followed by a discussion on existing gaps and potential solutions for quality traceability throughout the wheat supply chain.

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Section: Measurement Techniquesmentioning

confidence: 99%

Enhancing traceability of wheat quality through the supply chain

Nadimi

Hawley²,

Liu

et al. 2023

Comp Rev Food Sci Food Safe

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“…FTIR spectra profile is the molecular fingerprint of the sample that is used to screen and scan many different components. It is one of the effective methods to detect functional groups present in the sample [49][50][51]. FTIR spectroscopy of different pasta samples showed that WGJ enrichment did not significantly [55].…”

Section: Ftir Analysis Of Wheatgrass-juice-incorporated Pastamentioning

confidence: 99%

Influence of Wheatgrass Juice on Techno-Functional Properties and Bioactive Characteristics of Pasta

Bawa

Singh

Brar

et al. 2022

Journal of Food Quality

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Pasta is an excellent source for fortification of ingredients and wheatgrass juice (WGJ) as a natural source of vital nutrients and antioxidants; the study was taken to develop WGJ-rich functional pasta. Wheatgrass juice (WGJ) was added at the rate of 33, 66, and 100% by replacing water during the mixing process of pasta. The samples were assessed by cooking quality, proximate composition, antioxidant properties, color, texture attributes, and sensory evaluation. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) were performed. Incorporation of WGJ significantly ( p < 0.05 ) decreased the optimum cooking time of pasta, whereas water absorption capacity was increased. Cooking loss in pasta increased from 2.89 to 3.21% with increasing levels of WGJ from 33 to 100%. The addition of wheatgrass juice to pasta improved the nutritional and antioxidant profile significantly ( p < 0.05 ), as evidenced by increases in protein, phenolics, flavonoids, chlorophyll, and antioxidant activities (FRAP, DPPH, and ABTS). The incorporation of wheatgrass juice reduced the L value, whereas a ∗ of the pasta enhanced gradually. With the addition of WGJ, the stiffness and hardness of the pasta changed dramatically. FTIR spectra validated the existence of bioactive compounds and chlorophyll pigments in pasta. Sensory data revealed that pasta containing 100% of WGJ was acceptable with the highest overall acceptability score of 7.72.

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“…Fourier transform near-infrared spectroscopy is a promising green analytical technique presented with the following characteristics: rapid, convenient, non-destructive, and reliable ( 9 ). It has been widely used to develop methods for the authentication of animal source foods ( 10 ), with a particular emphasis on meat adulteration, for example, detection of pork adulteration in veal products ( 11 ), analysis of the minced lamb and beef fraud ( 12 ), chicken meat authenticity ( 13 ), quantitative detection of binary and ternary adulteration of minced beef with pork and duck meat ( 14 ), quantification of pork meat in other meats ( 15 ), and quantification of beef, pork, and chicken in ground meat ( 16 ), to name but a few.…”

Section: Introductionmentioning

confidence: 99%

Authentication of duck blood tofu binary and ternary adulterated with cow and pig blood-based gel using Fourier transform near-infrared coupled with fast chemometrics

Han

Li²,

Aheto³

et al. 2022

Front. Nutr.

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This work aims to investigate a feasible and practical technique for the authentication of edible animal blood food (EABF) using Fourier transform near-infrared (FT-NIR) coupled with fast chemometrics. A total of 540 samples were used, including raw duck blood tofu (DBT), cow blood-based gel (CBG), pig blood-based gel (PBG), and DBT binary and ternary adulterated with CBG and PBG. The protein, fat, total sugar, and 16 kinds of amino acids were measured to validate the difference in basic organic matters among EABFs according to species. Fisher linear discriminate analysis (Fisher LDA) and extreme learning machine (ELM) were implemented comparatively to identify the adulterated EABF. To predict adulteration levels, four extreme learning machine regression (ELMR) models were constructed and optimized. Results showed that, by analyzing 27 crucial spectral variables, the ELM model provides higher accuracy of 93.89% than Fisher LDA for the independent samples. All the correlation coefficients of the optimized ELMR models’ training and prediction sets were better than 0.94, the root mean square errors were all less than 3.5%, and the residual prediction deviation and the range error ratios were all higher than 4.0 and 12.0, respectively. In conclusion, the FT-NIR paired with ELM have great potential in authenticating the EABF. This work presents amino acids content in EABFs for the first time and built tracing models for rapid authentication of DBT, which can be used to manage the EABF market, thereby preventing illegal adulteration and unfair competition.

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Recent Applications of Vibrational Spectroscopic Techniques in the Grain Industry

Cited by 20 publications

References 127 publications

Enhancing traceability of wheat quality through the supply chain

Enhancing traceability of wheat quality through the supply chain

Influence of Wheatgrass Juice on Techno-Functional Properties and Bioactive Characteristics of Pasta

Authentication of duck blood tofu binary and ternary adulterated with cow and pig blood-based gel using Fourier transform near-infrared coupled with fast chemometrics

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