Rapid determination of four tobacco specific nitrosamines in burley tobacco by near-infrared spectroscopy

Ma, Yongjun; Bai, Ruoshi; Du, Guotong; Ma, Li; AiJun, He; Li, Na; Yi, Xiaoli; Cai, Wensheng; Zhou, Jun; Shao, Xueguang

doi:10.1039/c2ay25038a

Cited by 21 publications

(11 citation statements)

References 40 publications

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“…The preprocessing methods by OSC was shown to be more advantageous over the other preprocessing, not following the same approach for tobacco matrix as reported by Qin and Gong 13 (Norris‐Gap second derivative), Ma et al 18 (MSC and SNV), Bi et al 34 (first derivative and local SNV), and Miranda et al 4 (MSC and Norris‐Williams first derivative). The OSC increased the quality of the results of the PLS models and reduced the number of LVs.…”

Section: Resultsmentioning

confidence: 78%

Section: Resultsmentioning

confidence: 99%

“…The preprocessing methods by OSC was shown to be more advantageous over the other preprocessing, not following the same approach for tobacco matrix as reported by Qin and Gong 13 (Norris-Gap second derivative), Ma et al 18 the elimination of undesired information such as scattering variations from the spectral data by orthogonal projection. [35][36][37] This algorithm was developed as an alternative to make up for the MSC deficiency, since the MSC algorithm can lose some useful spectral information.…”

Section: F I G U R Ementioning

confidence: 94%

“…Preprocessing is a commonly used strategy to improve the regression models because the NIR spectra can be accompanied by multiplicative effects caused by sample particle size and a baseline or background caused by the equipment type. 18 The total alkaloid calibration model using PLS indicated that preprocessing of spectra by normalization followed by OSC and mean center showed a minor cross-validation error (RMSECV = 0.33%) and prediction error (RMSEP = 0.34%) after the exclusion of six calibration samples, which corresponded to 3.7% of the total (Data S1).…”

Section: Regression Modelsmentioning

confidence: 99%

“…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 2,18,19 . The NIR instrumentation has developed considerably in the last years, and its automation and inclusion of fiber‐optic probe has make easier in its operation in the complex matrices analysis by off‐line, at‐line, in‐line, and on‐line process control 20,21 .…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 78%

Section: Resultsmentioning

confidence: 99%

“…The preprocessing methods by OSC was shown to be more advantageous over the other preprocessing, not following the same approach for tobacco matrix as reported by Qin and Gong 13 (Norris-Gap second derivative), Ma et al 18 the elimination of undesired information such as scattering variations from the spectral data by orthogonal projection. [35][36][37] This algorithm was developed as an alternative to make up for the MSC deficiency, since the MSC algorithm can lose some useful spectral information.…”

Section: F I G U R Ementioning

confidence: 94%

Section: Regression Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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