Green analytical chemistry applied in food analysis: alternative techniques

Pallone, Juliana Azevedo Lima; Alamar, Priscila Domingues

doi:10.1016/j.cofs.2018.01.009

Cited by 57 publications

(20 citation statements)

References 61 publications

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“…One of the fingerprinting techniques widely used to characterize food ingredients and detect possible adulterants is Fourier transform infrared spectroscopy (FT-IR) in the middle range (450 to 4000 cm -1 , FT-MIR) or near range (4000 cm -1 to 10000 cm -1 , FT-NIR). FT-MIR is a rapid, nondestructive technique and it is considered a green analytical method (Pallone, Caramês, & Alamar, 2018). FT-MIR monitors the fundamental vibrational and rotational stretching modes of molecular bonds, which produce a chemical profile of the sample and provide a greater amount of chemical information than FT-NIR (Lohumi, Lee, Lee, & Cho, 2015).…”

Section: Introductionmentioning

confidence: 99%

Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods

2019

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Quinoa flour has been receiving an increasing attention as a substitute for wheat flour in bread formulations due to immuno-nutritional features. This growing interest in quinoa has increased the demand and consequently the prices, being a target for possible adulterations with cheaper cereals. Fourier transform Mid-infrared spectroscopy (FT-MIR) was used in the present work as a fingerprinting technique to detect the presence of three adulterants (soybean, maize and wheat flours). Partial least squares discriminant analysis (PLS-DA) and soft independent modelling of class analogy (SIMCA) models were used to classify pure from adulterated samples. 414 samples were measured, including pure quinoa flour, pure adulterant flours and adulterated quinoa flours using three different proportions (10, 5 and 1% w/w). PLS-DA showed better classification results than SIMCA, with error rates from 2 to 8% for the three strategies used to detect the presence of adulterants.

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Section: Introductionmentioning

confidence: 99%

Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods

2019

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“…NIR is a technique that requires no or minimal sample preparation. It is simple, fast, nondestructive, and low cost, which classifies it as a green analytical chemistry technique 15 . Nowadays, industries and laboratories are increasingly being requested to use materials and techniques that follow the practices recognized as green and sustainable chemistry 16,17 …”

Section: Introductionmentioning

confidence: 99%

“…It is simple, fast, nondestructive, and low cost, which classifies it as a green analytical chemistry technique. 15 Nowadays, industries and laboratories are increasingly being requested to use materials and techniques that follow the practices recognized as green and sustainable chemistry. 16,17 NIR has become widely recognized as an efficient analytical tool to measure the quality and compositional attributes of complex matrices, such as tobacco, soils, sediments, oil, and food.…”

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confidence: 99%

Rapid quantification of constituents in tobacco by NIR fiber‐optic probe

Zimmer

Santos

Teixeira

et al. 2020

Journal of Chemometrics

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This study aims to develop, evaluate, and optimize the application of nearinfrared spectroscopy (NIR) autosampler device equipped with a fiber-optic probe associated with chemometric methods for the fast quantification of routine chemical constituents such as total alkaloids, reducing sugars, nitrate, and ammonia in tobacco. For this purpose, an NIR autosampler device with capacity for 40 samples was used. The spectra were collected in the range of 950 to 2,500 nm, with three spins on the sample, a 3.0-cm 2 sample scanning area, and 2.0 ± 0.2 mm distance between the fiber-optic probe and the sample. Four partial least-squares (PLS) models were developed, and different preprocessing methods were investigated. The predicted results were compared with those obtained from the reference method (continuous-flow analysis), and root mean square error of prediction values of 0.31%, 1.27%, 0.47%, and 0.026% were obtained for total alkaloids, reducing sugars, nitrate, and ammonia, respectively. The proposed method performed well for the analysis of total alkaloids and reducing sugars with an appropriate goodness-of-fit and fair precision. In conclusion, considering the performance of the regression models and the associated environmental and economic advantages, the application of NIR spectrometer autosampler device equipped with a fiber-optic probe associated with a PLS and synergy interval PLS algorithms cannot replace the reference method, but it is a promising tool for tobacco monitoring. K E Y W O R D S chemometrics, fiber-optic probe, NIR autosampler, tobacco 1 | INTRODUCTION Tobacco quality is influenced by the tobacco type, environmental conditions, agricultural practices, and leaf ripeness. During their growth and curing processes, tobacco plants undergo into a series of physiological and metabolic processes. Change in the metabolites can modify the leaf characteristics and consequently affect the chemical composition and organoleptic characteristics in tobacco smoke. 1-3 There are several types of tobacco such as flue-cured Virginia, 1,2 air-cured Burley, 1,2 sun-cured Oriental, 1 air-cured Maryland, 1 and air-cured Dark. 4 Among these, the main ones produced in Brazil are flue-cured Virginia and air-cured Burley. 5,6 Alkaloids, sugars, reducing sugars, nitrate, and nitrogen

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“…In this way, “green analytical chemistry” refers to applying these principles to the implementation of analytical procedures that reduce or eliminate environmental pollution. [ 2–10 ]…”

Section: Introductionmentioning

confidence: 99%

Strategies to Make Methods Based on Flow Injection Analysis Greener

Bezerra

Santelli

Lemos

et al. 2020

CLEAN Soil Air Water

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The implementation of flow injection analysis (FIA) systems and correlated techniques in the laboratory routine provides an increase of analytical throughput and the reduction of risks of analyte losses and contamination. Naturally, it contributes to the reduction of reagent consumption and minimization of waste generation. This paper presents and discusses an overview of the main strategies adopted to make methods based on FIA systems more environmentally friendly, and offers a review of these methods that covers the period from January 2002 to December 2019. Strategies based on reagent management (adoption of procedures without reagents, replacement of toxic reagents, recycling and reuse of reagents and, use of immobilized reagents), the online waste treatment, and the improvements of FIA systems (flow system configurations that avoid reagent wastage, use of green detectors, automation, and miniaturization) are approached in this perspective.

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Green analytical chemistry applied in food analysis: alternative techniques

Cited by 57 publications

References 61 publications

Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods

Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods

Rapid quantification of constituents in tobacco by NIR fiber‐optic probe

Strategies to Make Methods Based on Flow Injection Analysis Greener

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