Simultaneous spectrophotometric determination of tartrazine, patent blue V, and indigo carmine in commercial products by partial least squares and principal component regression methods.

Nevado, J. J. Berzas; Rodríguez, José Manuel Fernández; Llerena, M. J. Villaseñor; Fariñas, Nuria Rodríguez

doi:10.1016/s0039-9140(98)00301-4

Cited by 39 publications

(29 citation statements)

References 7 publications

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“…As can be seen, the maximum wavelength (λ max ) of AR and CR was found to be 500 and 520 nm, respectively. The dye concentration was obtained from a calibration curve of absorbance versus the concentration at λ max of each dye in single dye solutions . For finding optimum conditions for drawing calibration plots, the influence of pH values on the spectrum of each dye at a constant concentration of each dye was studied .…”

Section: Resultsmentioning

confidence: 99%

“…The following equations have been utilized to determine the removal percentage (R%) and dye capacity uptake per unit of the adsorbent (q) from the aqueous solution:

normalR % = \frac{({normalC}_{0} - {normalC}_{normale})}{{normalC}_{0}} \times 100,

where C o is the dye initial concentration (mg/L) and C e is the equilibrium dye concentration, which has been determined by PLS method …”

Section: Methodsmentioning

confidence: 99%

“…The PLS method is an efficient multivariate calibration method that relates to 2 matrices: the absorbance A and concentration C . This method is based on the decomposition of the original multivariate data matrices in a calibration set into latent variables of the absorbance A and concentration C matrices and relating them to obtain new matrices, which can predict the unknown concentration from the absorbance spectrum of the sample

c_{0} = a_{0} {({normalF}_{normalC}^{normalt} A)}^{t} normalV L_{normalC}

…”

Section: Methodsmentioning

confidence: 99%

“…For an investigation of multi dye samples, two challenges are to overcome: first is the simultaneous determination of dye amount and second is applying an appropriate multivariate optimization approach . Because of the severe overlapping of absorption spectra, the use of traditional spectrophotometric techniques is a cumbersome task without any separation steps . The multivariate calibration methods, such as principal component regression and partial least squares (PLS) regression, play a very important role in overcoming the problem of pretreatments in the multicomponent analysis by UV‐Vis spectrophotometry .…”

Section: Introductionmentioning

confidence: 99%

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Chemometrics approach for optimization of simultaneous adsorption of Alizarin red S and Congo red by cobalt hydroxide nanoparticles

Zolgharnein

Bagtash

Asanjarani

2017

Journal of Chemometrics

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The present study deals with the simultaneous adsorption of Alizarin Red (AR) and Congo red (CR) by cobalt hydroxide nanoparticles in a batch system. Cobalt hydroxide nanoparticles as novel and efficient adsorbent are successfully used to remove two anionic dyes from aqueous solutions simultaneously. Partial least square regression as a multivariate calibration method is developed for the simultaneous determination of AR and CR in binary solutions, to overcome the severe spectral overlap. The influence of various parameters was investigated on dye adsorption such as pH, initial concentration of dyes, and sorbent mass. A response surface methodology was achieved through performing the central composite design approach to optimize the removal percent of dyes by cobalt hydroxide nanoparticles. The proposed quadratic model resulting from the central composite design approach fitted very well with the experimental data. The optimal conditions for dye removal were pH = 5.5, sorbent dose = 43 mg, CAR (initial AR concentration) = 351 mg/L, and CCR (initial CR concentration) = 616 mg/L. Isotherm modeling and thermodynamic studies were also conducted. Furthermore, the sorbent was characterized by the Fourier transform infrared, scanning electron microscopy, and X‐ray diffraction analysis.

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Section: Resultsmentioning

confidence: 99%

“…The following equations have been utilized to determine the removal percentage (R%) and dye capacity uptake per unit of the adsorbent (q) from the aqueous solution:

normalR % = \frac{({normalC}_{0} - {normalC}_{normale})}{{normalC}_{0}} \times 100,

where C o is the dye initial concentration (mg/L) and C e is the equilibrium dye concentration, which has been determined by PLS method …”

Section: Methodsmentioning

confidence: 99%

c_{0} = a_{0} {({normalF}_{normalC}^{normalt} A)}^{t} normalV L_{normalC}

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Chemometrics approach for optimization of simultaneous adsorption of Alizarin red S and Congo red by cobalt hydroxide nanoparticles

Zolgharnein

Bagtash

Asanjarani

2017

Journal of Chemometrics

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“…Several methods have been proposed for the determination of these colorants, liquid chromatographic techniques being the recommended ones for analyzing mixtures of several colorants [41,42]. Spectrophotometric methods, especially when assisted by chemometric tools, have also been discussed for solving mixtures of these colorants [43,44]. TA and SY are uniprotic acids (Scheme 2a and b), and the available pK a values of TA and SY are 9.4 and 10.4, respectively [45].…”

Section: Spectrophotometric Study Of Tarterazin and Sunset Yellow In mentioning

confidence: 99%

Hard–soft modeling parallel factor analysis to solve equilibrium processes

Sajjadi

Abdollahi

2011

Journal of Chemometrics

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PARAFAC model is the most famous model for analyzing three-way data. However, this method does not converge to chemically meaningful solutions when applied to three-way problems involving rank overlap profiles at least in one mode. Rank overlap can be simply found where components have similar spectral profiles or analytes appearing in identical proportions throughout an experiment. However, an appropriate selection of the initial parameters and constraints such as non-negativity and unimodality can still make PARAFAC model useful in this regard. Although such constraints reduce rotational freedom in PARAFAC solution, they are generally insufficient to wholly eliminate the rotational problem. The goal of the present paper is to incorporate hard modeling constraint in the soft-modeled PARAFAC algorithm to overcome non-uniqueness problem in the equilibrium processes involving linearly dependent factors at least in one mode. The hard constraint is introduced to force some or all of the concentration profiles to fulfill an equilibrium model that is refined at each iteration cycle of the optimization process of PARAFAC. The proposed approach is called hard-soft PARAFAC (HSPARAFAC). When the rank overlap species obeys equilibrium model in HSPARAFAC, the unique results are obtained even in the presence of non-modeled interferences. The new modification in the treatment of equilibrium data sets yields more satisfactory results than the exclusive PARAFAC algorithm. Simulated and real examples with rank overlap problem are used to confirm this statement.

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Detection of Indigo Carmine dye in juices via application of photoluminescent europium‐doped carbon dots from tannic acid

et al. 2022

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Indigo Carmine is a hazardous dye and produces an allergic action for humans despite the excessive use of the dye in several industrial fields. A sensitive and simple fluorescent assay for determining Indigo Carmine relying on quenching of the fluorescent europium-doped carbon dots by the action of inner filter effect was developed. This sensing platform involved the preparation of europium-doped carbon dots from the hydrothermal carbonization of tannic acid and europium chloride, which was used as fluorescent reagent with a distinctive excitation/emission wavelength at 307/340 nm. Both excitation and emission fluorescence of prepared carbon dots can be successfully quenched by adding Indigo Carmine dye. The developed spectrofluorimetric method exhibits good linearity with the concentration of Indigo Carmine dye in the range of 1.5 to 10.0 μg/ml and provided a limit of detection (LOD) value of 0.40 μg/ml. Furthermore, the prepared carbon nanoparticles were identified and characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), Fourier-transform infrared (FTIR), and ultraviolet (UV)-spectrophotometer techniques. In addition, the developed detecting approach was applied to determine Indigo Carmine in juice samples with acceptable recovery.

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Simultaneous spectrophotometric determination of tartrazine, patent blue V, and indigo carmine in commercial products by partial least squares and principal component regression methods.

Cited by 39 publications

References 7 publications

Chemometrics approach for optimization of simultaneous adsorption of Alizarin red S and Congo red by cobalt hydroxide nanoparticles

Chemometrics approach for optimization of simultaneous adsorption of Alizarin red S and Congo red by cobalt hydroxide nanoparticles

Hard–soft modeling parallel factor analysis to solve equilibrium processes

Detection of Indigo Carmine dye in juices via application of photoluminescent europium‐doped carbon dots from tannic acid

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