Fluorescent properties of bulk spirit drinks obtained using right-angled geometry.
There are many prescribed methods for the analysis of important components and parameters of spirit drinks. Nevertheless, there is a continuous search for new rapid and simple alternative methods that can be used together with recommended methods. The aim of the chapter is to make a review about themes such as quantification of individual components in the spirit drinks, classification of spirit drinks, and determination of adulterants. The chapter shows that fluorescence spectroscopy has a significant potential for being used in spirit drink research because many alcoholic beverage products contain intrinsic fluorophores. Fluorescence spectroscopy allows the determination of some compounds at concentration as low as 0.1–1 μg/L often without sample preparation, there is no use of chemicals and the time of analysis can be very short. The combination of fluorescence data with chemometric tools is a promising approach for the classification of spirit drinks and for the detection of spirit drink adulteration.
- fluorescence spectroscopy
- spirit drink
Fluorescence, like the other molecular spectroscopies, represents an attractive option for food and beverage analysis because it is rapid, sensitive and non-destructive. The reviews on this matter have been reported [1–3]. According to Regulation (EC) No 110/2008 , ‘spirit drink’ means an alcoholic beverage possessing particular organoleptic qualities, having a minimum alcoholic strength of 15% vol., having been produced: (i) either directly (by the distillation, with or without added flavorings, and/or by the maceration of plant materials in ethyl alcohol of agricultural origin, and/or by the addition of flavorings to ethyl alcohol of agricultural origin), (ii) or by the mixture of a spirit drink with one or more other spirit drinks. The Regulation (EC) No 110/2008 defines 46 different categories of spirit drinks. For the purposes of this review, spirit drinks are divided into two general classes: (1) unaged (vodka, gin, juniper-flavoured spirit drink and fruit spirit) and (2) aged in wooden casks (brandy, whisky, mezcal, tequila, cachaça and calvados). The term age refers to the actual duration of storage, while maturity expresses the degree to which chemical changes occur during storage. Most governments specify storage time for various products.
The major constituents of each spirit drink consist of ethanol and water. The minor or trace constituents are higher alcohols, carbonyl compounds, esters, aldehydes, lactones, organic acids, etc. . However, there are almost the same fluorophores in the different spirits, among others, volatile phenols and anisols in unaged spirits, and phenolic compounds and coumarins in spirits aged in wooden casks.
Fluorescence spectra of distilled spirits are typically composed of broad overlapping fluorescence bands containing chemical, physical and structural information of all sample components. Therefore, conventional fluorescence technique based on recording of single emission or excitation spectra is often insufficient for analysing spirit drinks. In some cases, total luminescence or synchronous scanning fluorescence techniques may improve the analytic potential of fluorescence measurements. The analytical information should be extracted from fluorescence spectra using multivariate and multiway methods, which allow to group samples with similar characteristics, to establish classification methods for unknown samples (qualitative analysis) or to perform methods determining some property of unknown samples (quantitative analysis) .
There are many prescribed methods for the analysis of important components and parameters of spirit drinks. The most widely used methods are sensory evaluation, gas chromatography, liquid chromatography, mass spectrometry, ultraviolet–visible (UV/VIS) spectrophotometry and infrared spectrometry . Nevertheless, there is a continuous search for new alternative methods that can be used together with recommended methods.
The aim of the chapter is to make a review about themes such as quantification of individual components in the spirit drinks, classification of spirit drinks and adulteration detection in order to highlight the potential of fluorescence spectroscopy in the beverage analysis.
2. Fluorescence spectra of spirit drinks
Conventional fluorescence spectroscopy uses either a fixed excitation wavelength (λex) to record an emission spectrum or a fixed emission wavelength (λem) to record an excitation spectrum. The broad shape of both the excitation and emission fluorescence bands limits the possibility of finding a unique λex and λem for each potential analyte . Selectivity is often improved through fluorimetric strategies such as total luminescence, synchronous scanning fluorescence or total synchronous scanning fluorescence.
Total luminescence spectrum (TLS) presents simultaneously all the excitation and emission spectra over the range of wavelengths scanned  and can be shown as a contour map with λem and λex as
In synchronous fluorescence spectroscopy , the λex and λem are scanned simultaneously in such a way that a constant wavelength interval Δλ = λem – λex is kept between them. When a value of Δλ is chosen properly, the resulting synchronous fluorescence spectrum (SFS) shows one or a few features that are much more resolvable than those in the conventional fluorescence spectrum because synchronous fluorescence reduces spectral overlaps by narrowing spectral bands and simplifies spectra by amplifying strong fluorescence bands. A choice of Δλ could be either the difference between the wavelength of emission maximum (λem, max) and the corresponding wavelength of excitation maximum (λex, max) to provide the highest sensitivity, or the particular difference to give a compromise between sensitivity and selectivity [11, 12].
Total synchronous fluorescence spectrum (TSFS) is obtained by plotting fluorescence intensity as a function of the wavelength and Δλ value (Figure 1b) and combine the advantages of TLS and SFS. Because λem is always higher than λex, Rayleigh scattering is not found in TSFS.
Independent of the type of spectrum, the apparent fluorescence intensity and spectral distribution is affected by both the optical density of the sample (Figure 1a and c) and the geometry of sample illumination (Figure 1a and d). The most common geometry is right-angle observation of the center of a centrally illuminated cuvette. It is typically used to analyse dilute solutions and other transparent samples (absorbance < 0.1). At high optical densities, signal reaching detector will be significantly disturbed due to the inner filtering effects. In the front-face geometry, the excitation light is focused to the front surface of the samples and then fluorescence emission is collected from the same region at an angle that minimizes reflected and scattered light. Front-face illumination is generally used to decrease the inner filtering effects .
2.1. Spirit drinks unaged in wooden casks
The major constituents of each spirit drink, ethanol and water molecules do not exhibit fluorescence. However, when ethanol mixes with water, ethanol and water molecules form molecular clusters by hydrogen bonding and emit different fluorescence photons . When excited by λex = 236 nm, there were eight kinds of luminescence structures in the ethanol–water mixtures, giving the emission bands at 292, 304, 314, 330, 345, 355, 365 and 377 nm, respectively. The fluorescence bands at 355 and 377 nm have maximum intensity when the percent of ethanol is 20%. The other six kinds have maximum intensity for 60% ethanol content .
Different flavour exhibits different effect on the fluorescence of 60% ethanol–water mixture characterised by the main band centred at λex/λem = 225/335 nm. The simultaneous addition of eight major flavours (acetaldehyde, ethyl acetate, methanol, propyl alcohol, isobutyl alcohol, isoamyl alcohol, ethyl lactate and acetic acid) make the band at 225/335 nm in excitation/emission disappear and cause the appearance of bands at λex/λem of 285/325 nm as well as at 375/425 nm. The 225/335 nm fluorescence band initially increases and then decreases with increased ethyl acetate or acetate concentration in the 60% ethanol–water mixture. For the Fenjiu samples aged in ceramic containers, the effect of total ester concentration is consistent with the result of ethyl acetate in the 60% ethanol–water mixture, however, the effect of acetic acid differs .
Vodka is the simplest distilled spirit, the character of which comes from the ethanol, normally distilled from grain fermentation. Vodka Finlandia (40%) is amongst the purest in the world, its typical TLS and TSFS are shown in Figure 2. The short-wavelength band in TLS, which has maximum at λex/λem = 230/335 nm, corresponds to the band at 220–230 nm (Δλ = 90 – 100 nm) in TSFS and can be assigned to luminescence structures in the ethanol–water mixture. It should be noticed that there is no available information or data on the origin of fluorescence of vodka. However, some of the volatile compounds (1,3,5-trimethylbenzene and p-cymene) identified by GC-MS in vodka [16, 17] are known fluorophores. The micro array based on fluorescence dye solutions and their binary mixtures shows vodka pattern with a certain similarity but slightly different from the aqueous ethanol pattern .
Juniper-flavoured spirit drinks (JFSDs) are produced by flavoring ethyl alcohol of agricultural origin and/or grain spirit with juniper (
The most popular JFSD is gin, which TLS is characterised by the main fluorophores centred at λex = 220 and 304 nm and λem = 337 nm. The first pair of wavelengths (λex/λem = 220/337 nm) is similar to that observed for vodka, the second one (λex/λem = 304/337 nm) is characteristic for London gin. Other JFSDs show band with excitation at about 250–290 nm and emission at about 330–340 nm. Moreover, Belgian and Czech JFSDs show additional band at longer wavelength (Table 1). Modelling of TLS allowed relating the fluorescence bands of drinks to 2-phenylethanol, eugenol, carvacrol, 4-allylanisole,
|Spirit drink||λex,max (nm)||λem,max (nm)||Reference|
|Unaged in wooden casks|
|Vodka Finlandia||230, 260||335||This work|
|London Gin||220, 302–306||335–340|||
|Apricot spirit with fruit||270||360|||
|Pear spirit with fruit||260||366|||
|Aged in wooden casks|
|Spirit drink||Dilution||λex,max (nm)||λem,max (nm)||Reference|
|Apricot with fruit||40-fold||280||334|||
|Pear with fruit||40-fold||280||322|||
Fruit spirits are made of different varieties of fruits by the alcoholic fermentation and distillation. They are usually aged in glass containers, marketed as ‘pure’ beverages or in the bottles containing a whole dried fruit. Table 1 shows the characteristic λex,max and λem,max corresponding to the four types of fruit spirits. Bulk apple, pear and plum spirits exhibit two fluorescent bands, one with fluorescent maximum between 250 and 290 nm in the λex and between 330 and 350 nm in the λem range, whose exact position depended on the fruit type, and the second with excitation maximum at about 300 nm and emission at about 420 nm. In contrast, bulk apricot spirit exhibits only the short-wavelength band. Bulk spirits containing fruit show two fluorescent maxima at longer wavelengths (Table 1). The UV absorption of bulk fruit spirits is from 2 up to 4 absorbance units when scanning from 225 to 300 nm, and therefore the inner filter phenomena affect the right-angle spectra considerably. One way to reduce the inner filter effects is to dilute the sample with an appropriate solvent. On the other hand, dilution can reduce concentration of some components bellow limit of detection. As an example, Table 2 shows the λex,max and λem,max of fruit sprits upon dilution. Apple spirits exhibited no reasonable fluorescence upon 40-fold dilution. Both diluted apricot and pear spirits exhibit a band with a maximum fluorescence at λex = 280 nm. The different position of emission band for apricot and pear spirits enables us to distinguish between them. In addition, λex,max and λem,max of diluted plum spirits are different from the other fruit spirits. The compounds such as 1-phenylethanol, 2-phenylethanol, eugenol, 4-allylanisole, 4-vinylanisole, 4-ethylphenol, 4-ethylguaiacol and p-cymene can be detected using λex /λem of 280/320 nm after separation by HPLC. In the case of spirits containing fruit, there is a wider variety of fluorescent compounds, including not only those found in pure spirits but also benzoic and cinnamic acids and their aldehydes .
Mixed wine spirits are wine distillates diluted with ethanol from other sources, frequently blended with sugar, brandy aroma and caramel. Some mixed wine spirits contain honey or colourants. TLS contours of bulk mixed wine spirits are concentrated in the λem region from 460 to 530 nm and the λex between 380 and 420 nm . The spectra recorded in right-angled geometry are distorted due to inner-filter effect. Diluted wine distillates exhibit two fluorescence bands centered at the λex /λem pairs of 280/350 nm and 330/430 nm, respectively (Table 2). The short-wavelength band is similar to the one observed in the fluorescence spectra of other distilled spirits and it may partly originate from compounds of the grape distillate. The long-wavelength band originates mainly from caramel .
2.2. Spirit drinks aged in wooden casks
Freshly distilled spirits are colourless and possess only the flavour and aroma of the grain and the alcohol. Many producers use “ageing wooden barrels” to mature distilled spirits like brandy, Calvados, whisky, mezcal, cachaça and tequila. Barrels are typically made of French or American oak, but chestnut and redwood are also used. The ageing involves several processes: lignins decompose with formation of phenolic compounds (vanillin, syringaldehyde, coniferaldehyde, sinapaldehyde, cinnamic and benzoic acids), hydrolysable tannins and their products (gallic and ellagic acids) and coumarins (particularly scopoletin) are extracted from wood, and reactions may occur between components of wood and spirit. These processes and their products are very important for the quality of the matured spirits (taste, flavour and colour) . In addition, phenolic compounds and coumarins are well-known fluorophores.
Brandy is a spirit drink produced from wine spirit, whether or not blended with a wine distillate. Types of brandies, originally at least, tended to be location-specific. Brandy has to be aged for a certain period in oak casks. Using right-angled geometry, the TLS contours for bulk brandy are concentrated in the λem region from 510 to 570 nm and λex region from 430 to 480 nm . Using front-face geometry, the total luminescence contours for bulk brandy are concentrated in the λem region from 470 to 520 nm and λex region from 390 to 430 nm . Undiluted brandy exhibits a high UV/VIS absorption, thus the fluorescence recorded on the bulk brandy is severely distorted due to the inner filter effects. The short-wavelength fluorescence, with λex,max = 280 nm and λem,max =370 and 450 nm, is clearly observed for diluted brandy samples, along with the longer-wavelength fluorescence, with excitation at 340 nm and emission at 450 nm (Table 2). The former band is preliminary attributed to the tryptophol, tyrosol and phenolic acids, the latter band to cinnamic acids, coumarins, tannins and other unknown fluorescent compounds .
Whisky (whiskey) is spirit-based drink made from malted or saccharified grains, which should mature for at least 3 years in wooden barrels. Plain spirited caramel of a specific grade is added simply in order to adjust the consistency of the colour . Regarding bulk whisky, front-face fluorescence spectrum recorded at λex = 404 nm exhibit a wide emission band in the 450–700 nm range with maximum at 520 nm. The fluorescent band arises from the caramel, coumarins, tannins and other fluorescent compounds originating from wooden casks . Tequila and mezcal are two traditional Mexican distilled beverages with similar production phases. Tequila must be made exclusively from Agave tequilana Weber blue variety, whereas mezcal is made from different agave species, among them A. salmiana, A. angustifolia and A. potatorum . Maturation of mezcal and tequila is optional, contributing flavour in a similar way to all the other wood-matured spirits. Using liquid chromatography with ion trap mass spectrometry detection, ten phenolic acids were quantified in tequilas . Fluorescence spectra of bulk mezcal obtained using right-angled geometry have emission maximum at about 580 nm (λex = 517 nm). White/young mezcal exhibit spectra similar to ethanol. On the other hand, aged mezcal, and the other types of mezcal differ in the intensity of the emission spectra due to the higher concentration of organic molecules extracted from the wood cask [35, 36]. Using the fluorescent background of Raman spectra, it has been possible to distinguish tequila blanco (unaged) from aged tequila . Later fluorescence between 370 and 510 nm of bulk tequila excited at 337 nm has been observed . Recently reference  reported the right-angled fluorescence spectra recorded at four λex (255, 330, 365 and 405 nm) by original tequilas and counterfeit tequilas.
Cachaça, the most popular distilled alcoholic beverage in Brazil, is a distilled spirit made from sugarcane juice. It can be aged in barrels of amendoim (
Calvados is an apple-brandy of France. Fluorescent compounds such as 4-vinylanisole, 4-methylguaiacol, methyleugenol, 4-ethylguaiacol, eugenol, 4-ethylphenol and 4-vinylguaiacol are found in freshly distilled Calvados , while 2-phenylethanol, 4-methylguaiacol, methyleugenol, 4-ethylguaiacol, eugenol and 4-ethylphenol  in matured Calvados. Bulk Calvados is easily distinguishable from the other fruit drinks because its λex,max and λem,max are considerably higher. Diluted Calvados revealed the same fluorescence band as that observed for diluted grape brandies—wine spirits aged in oak barrels. The band could be due to the presence of phenolic compounds extracted from wood .
The absorption of undiluted aged spirit samples is from 1 up to 5 absorbance units, thus, brandies, cachaças and mezcals have by far the highest absorbances, regardless of wavelength [33, 44, 45]. Therefore, the analysis of spectra recorded using right-angled geometry, which are affected by inner filter effects, may lead to spectral misinterpretation and invalid assignments of origin of some fluorescent bands. So far, fluorescence spectra unaffected by inner filter effects are available only for diluted brandy, mixed wine spirit and Calvados.
3. Applications of fluorescence spectroscopy
3.1. Quantification of individual components
3.1.1. Naturally occurring components
To determine alcohol, several fluorescence biosensors have been produced by integrating alcohol oxidase or alcohol dehydrogenase enzymes with optical fibers. The utility of enzyme biosensors is restricted due to their low stability and short lifetime determined mainly by enzyme kinetics, the necessity to add the coenzyme to the solution and the temperature [46–48].
Chemosensors are another big group of devices for the determination of alcohol. The application of a fluorescent reagent, fluorescein octadecyl ester, in a fiber optic sensor for the determination of aliphatic alcohols in a range of 10–60 v/v % has been reported . Fluorescence intensity was enhanced due to the formation of hydrogen bonds between alcohol and the hydroxyl group of fluorescein octadecyl ester . The fluorescence quenching of the 5,10,15,20-tetraphenyl porphyrin doped on polyvinyl chloride film by ethanol showed a linear response over the ethanol concentration in the range of 1–75 v/v % with a detection limit of 0.05 v/v % . Using admixture of terphenyl-ol and sodium carbonate, which exhibited bright sky-blue fluorescence in the solid state upon addition of small quantities of ethanol, detection limit at about 5 v/v % of ethanol was demonstrated . A simple visual test has been developed to check the ethanol content of drinks and to detect counterfeit beverages containing methanol. When imidazolium-based dication C10(mim)2 and dianionic 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) are mixed together, they self-assemble into a supramolecular ionic material (SIM). The product is capable of encapsulating the fluorescent dye Rhodamine 6G (R6G) to form SIM-R6G. The addition of ethanol destructs the R6G-SIM structure, resulting in the release of R6G. Alcohol content can be determined by measuring the fluorescence line of R6G on a thin-layer chromatography (TLC) plate within a concentration range from 15 to 40%. The addition of a trace amount of methanol leads to a large increase of the length of R6G on TLC plates . Another supramolecular material has been prepared with 1,4-bis(imidazol-1-ylmethyl)benzene (bix) as the ligand, Zn2+ as the central metal ion and encapsulated fluorescent dye Rhodamine B (RhB). The formed RhB/Zn(bix) is stable in ethanol, however, the addition of water results in the release of RhB, allowing the determination of alcohol content within a linear range from 20 to 100 v/v % .
The appropriateness of both spectrofluorimetry and HPLC to determine the level of individual coumarins (umbelliferone, scopoletin and 4-methylumbelliferone) in commercial white rum samples has been demonstrated . Recently a simple multivariate calibration spectrofluorimetric method has been developed for the simultaneous determination of gallic, vanillic, syringic and ferulic acids and scopoletin in brandy samples, providing comparable results with those obtained by HPLC method .
Ellagic acid is the most explored phenolic acid compound, probably due to direct extraction of free ellagic acid and hydrolysis of wood ellagitannins . Two spectrofluorimetric methods have been developed for the rapid determination of ellagic acid in brandy samples. The first method was based on the complex formation between ellagic acid and borax in methanol solution (λex/λem = 383/456 nm). In the second method, the complex was formed between ellagic acid and boric acid in ethanol solution (λex/λem = 387/447 nm). The limit of determination was at about 0.3 μg/L. The results were found to be in good agreement with those obtained by HPLC method . The potential of SFS (Δλ = 40 nm) has been demonstrated to differentiate caramel from oak wood extract. The method was selective for the determination of caramel in the presence of common components of brandies (gallic acid, syringic acid, vanillic acid, caffeic acid, ferulic acid, p-coumaric acid, vanillin, syringaldehyde, coniferaldehyde, sinapaldehyde, furfural, 5-hydroxymethylfurfural and scopoletine). The limit of determination was 5 mg/L for caramel .
AMPHORA project, which assessed the quality of illegally and informally produced alcohol in the European Region, reports that compared to the health effects of ethanol, the contamination problems may be of minor importance as exposure will only in worst-case scenarios reach tolerable daily intakes of the substances as ethyl carbamate, copper manganese, acetaldehyde, methanol, higher alcohols and phthalates . The incidence of the aldehydes, especially of formaldehyde, in the Asian samples was considerably higher than that found in European alcoholic beverages .
Fluorimetry with Hantzsch reaction is commonly used for the determination of formaldehyde. Cyclohexane-1,3-dione (CHD)  and 4-amino-3-penten-2-one (Fluoral-P) [60, 61] have been used as Hantzsch reaction reagents. The Fluoral-P method is based on the reaction of 4-amino-3-penten-2-one with formaldehyde, producing 3,5-diacetyl-1,4-dihydrolutidine, which fluoresces at 510 nm when excited at 410 nm. The method is specific for formaldehyde, allowing for the determination of this analyte even in the presence of acetaldehyde concentrations 1000 times higher than formaldehyde . Limit of detection was 3 μg/L for formaldehyde in cachaça, rum and vodka . Aldehydes, such as formaldehyde, acetaldehyde, propionaldehyde and
Based on the fluorescence properties of 2,4-(1H,3H)-quinazolinedione (λex/λem = 310/410 nm), a product of the reaction between cyanate and 2-aminobenzoic acid, a method for the determination of cyanate was developed with a limit of detection 4 μg/L. A correlation between the cyanate and ethyl carbamate concentrations in the sugar cane spirit was observed .
Fluorescent molecularly imprinted polymer (fluorescein 5(6)-isothiocyanate-3-aminopropyltriethoxysilane /SiO2 particles) has been used for the selective recognition and the determination of λ-cyhalothrin (pesticide) in Chinese spirits. Based on fluorescence quenching, the limit of detection 4 μg/L was obtained .
Recently, a rapid methodology has been proposed for simultaneous quantification of five PAHs (acenaphten, anthracene, benzo[
Three most commonly used drugs in drink spiking are ketamine, benzodiazepines, including diazepam and flunitrazepam, and gamma-hydroxybutyric acid (GHB).
The determination of diazepam in commercial beverages, previously spiked with drug, has been implemented through photo degradation of diazepam and detection of degradation products at λem= 463 nm (λem = 262 nm). The limit of detection was 2 mg/L . A screening method for flunitrazepam in colourless alcoholic beverages is based on emission at 472 nm of protonated drug given the limit of detection 1 mg/L .
Zhai group has recently reported the first fluorescent sensor for gamma-butyrolactone (GBL), the pro-drug of GHB. GBL sensor was named Green Date and required an extraction to eliminate alcohol effects for GBL detection in real drinks . The team also found that an orange fluorescent compound named GHB Orange is capable of detecting GHB in different beverages with explicit intensity change under the irradiation of a hand-held 365 nm lamp .
3.2. Classification of spirit drinks
Visual inspection of fluorescence spectra seldom shows that they fall naturally into a number of groups [25, 39]. Thus, pattern recognition methods are usually required to gain significant meaningful information from the spectrometric data (Table 3). Non-supervised pattern recognition methods as hierarchical cluster analysis (HCA) or principal component analysis (PCA) discover, previously unknown, the group structure in the data. With supervised pattern recognition methods, the number of groups is known in advance and representative samples of each group are available. This information is used to develop a suitable discriminating rule or discriminate function with which new, unknown samples can be assigned to one of the groups. Supervised pattern recognition methods as linear discriminant analysis (LDA), general discriminant analysis (GDA), k-nearest neighbour (kNN), support vector machine (SVM) and partial least squares discriminant analysis (PLS-DA) can be used. The choice of the chemometric method often depends on preference of the analyst and the complexity of the data. LDA requires the number of variables (wavelengths) smaller than the number of samples in each group. Consequently, large spectral datasets with few samples cannot be analysed using LDA. As PCA is a dimensionality reduction method, combining LDA with a PCA overcomes this problem. On the other hand, PLS-DA is well suited to deal with a much larger number of variables than samples . Parallel factor analysis (PARAFAC) is commonly used for modeling fluorescence excitation-emission data. PARAFAC decomposition gives the loading and the score profiles of the components. The comparison of loading profiles of component with the fluorescence spectra for a standard of the analyte often leads to the identification of the fluorophore. Calibration model can be obtained by PLS regression between the scores related to the fluorophore and the reference concentrations of the fluorophore in the calibration samples .
| Purpose of analysis and quality of
method (the percentage of correct
classification in the prediction step)a, b, c
|Brandy||EX (225–425 nm), λem =
440 nm; EM (360–650 nm),
λex = 350 nm; SFS
|PCA, HCA||Classification of bulk brandies and mixed wine spirits using front-face geometry|||
|EX (225–460 nm), λem=470
nm; EM (400–650 nm),
λex=390 nm; SFS
|Classification of bulk brandies and mixed wine spirits using right-angled geometry;
SFS (PCA-LDA): 99.6% classification
|EX (240–380 nm),
λem= 450 nm; EM (400–470 nm),
|PCA, HCA||Classification of diluted brandies and mixed
|SFS 220-700 nm, Δλ = 40 nm||PCA-LDA,
|Classification of diluted brandies and mixed
wine spirits; SFS (PCA-LDA): 99.2% classification
|Mezcas||EM (540-800 nm),
|PCA||Classification of the group including white
mezcals (non-maturated) and ethanol from the group including rested
(coloured white mezcal)
|Fruit||SFS (200-500 nm), Δλ=10, 90 and 100 nm||PCA-LDA,
|Classification of apple, apricot, pear, and plum spirits ;
PCA-LDA: 100, 90 and 90% classification for Δλ = 10, 90 and 100 nm, resp.;
GDA: 100% classification regardless Δλ used
|Tequila||EM (250-800 nm), λex = 255, 330, 365 and 405 nm||Discrimination adulterated and
counterfeit tequilas from the genuine ones (λex = 255 nm), and aged, rested, and mixed tequilas from fake ones (λex = 330, 365, and 405 nm).
|Cachaça||UV/VIS (190-500 nm );
EM (260-600 nm),
λex=250, 280, 330,
360, and 450 nm;
fusion of the UV/VIS and EM
|Prediction of the wood used in the ageing of commercial cachaças;
UV/VIS (PLS-DA): 56–89% classification;
EM (NPLS-DA): 37–91% classification;
Low-level fused UV/VIS and EM data (PLS-DA): 60–94% classification
|Whisky||UV-Vis (290-600 nm); NIR (1200-1880 nm); EM (450-700 nm), λex= 404 nm||PCA-LDA||Distinguishing between the single-malt whiskies and the commercial-grade blended whiskies; 100% classification|||
|Whisky||UV-Vis (290-600 nm);
NIR (1200-1880 nm); EM (450-700 nm), λex= 404 nm
|PCA-LDA||Classification of single-malt whiskies come from two main production areas, the islands and the highlands, respectively: 89% classification|||
|JFSD||UV (250–325 nm); SFS
(250–450 nm), Δλ =
10 nm; TLS (λem =
cx275–490 nm, λex =
|Distinguishing between Slovak, Belgian, German, Czech and British JFSDs; UV (PCA-LDA) 88 %, SFS (PCA-LDA) 97 %, TLS (PARAFAC-LDA) 88 %|||
|Plum||SFS (230–550 nm),
Δλ = 60 nm
|PCA-LDA||Differentiation of Czech, Hungarian and Slovak plum spirits; 100 % classification|||
|JFSD||SFS (250–350 nm),
Δλ = 10 nm
|Distinguishing between (1) drinks from different producers and (2) distillates of different geographical indications and others; GDA: 100 % classification|||
|Brandy||TLS (λem = 485–580 nm,
λex = 363–475 nm)
|Determination of the mixed wine spirit in adulterated brandy; RMSEP: 1.9%, R2Pred: 0.995.|||
|Brandy||TLS (λem = 510–600 nm,
λex = 393–497 nm)
|Determination of the adulterants (water, ethanol, methanol) in adulterant-brandy blends; RMSEP: 0.24%, 0.20% and 0.22%, R2 Pred 0.993, 0.997 and 0.995 for water, ethanol and methanol, respectively.|||
|Fruit||TLS (λem = 315–450 nm,
λex = 240–305 nm)
|Determination of water or ethanol in adulterant-fruit spirit blends; apple spirit: RMSEP: 1,8% and 1.9%, R2 Pred 0.92 and 0.90, for ethanol and water, respectively;
plum spirit: RMSEP: 3.5% and 0.7%, R2 Pred 0.66 and 0.99, for ethanol and water, respectively.
3.2.1. Classification of spirit drinks according to the quality
Spirit drinks can be sometimes adulterated in the flavour and colour to imitate the sensorial and visual characteristics of the authentic matured beverages. Thus, one way of classifying spirit drinks is as aged or unaged—for example, brandy or less expensive mixed wine spirit. The λex/λem values of the major peaks of the bulk brandies are generally longer than those recorded for bulk mixed wine spirits. Thus, both PCA and HCA carried out on the front-face emission spectra recorded at λex = 350 nm and SFSs collected at Δλ = 90 nm provided very good differentiation between brandies and mixed wine spirits. Less good classification was obtained using excitation spectra recorded at λem = 440 nm . Right-angle fluorescence spectroscopy can be used as an alternative method to front-face fluorescence technique, exigent of special front surface accessory, as both the techniques provide similar classification . Regardless of fluorescence technique used, scattering is much more intense and/or heterogeneous for mixed wine spirits than for brandies and can result from the presence of the colloids in mixed wine spirits. Although the phenomenon was not studied in detail, the differences between brandy and mixed wine spirit are also due to scatter bands [27, 30]. Regarding classification of diluted samples, again better results were obtained from excitation and synchronous fluorescence spectra [28, 70].
UV-absorption and fluorescence spectroscopy have been compared for the evaluation of the authenticity of matured mezcal. The results showed that PCA conducted over a set of UV absorption spectra allows a reliable discrimination between artificially and naturally maturated mezcals. On the other hand, PCA conducted over fluorescence spectra allowed the identification of two main groups, not necessarily correlated with maturation in the wood casks (Table 3) .
Raman spectroscopy has been able to distinguish unaged (silver) tequila from aged tequilas by the application of a PCA to the fluorescence background of the Raman spectra . The same authors observed that the lower and highest fluorescence background of the Raman spectra corresponds to the Herradura tequila and Rancho Escondido distillated of the given samples, respectively. It is supposed that this fluorescence background behaviour is related with the production processes of the samples . PCA performed on the combination of Raman spectra and the fluorescent background information has been used to classify various brands of whiskies based on flavour, age and type of cask. The fluorescence decay constant can be also used as another parameter to distinguish whisky types which are otherwise non-distinguishable .
The character and potential nutritional value of spirits is reliant, among others, on the type of wood used for the barrel in which spirits may be aged. UV-Vis spectrophotometry and fluorescence spectrometry have been compared for the discrimination of the cachaças according to the wood used in their ageing. It was observed that the PLS-DA based on UV-Vis spectrophotometry provided better results for two classes of aged cachaça, amendoim and jequitibá, whereas NPLS-DA of emission spectra recorded at λex = 250, 280, 330, 360, and 450 nm provided better results for the other two classes of aged cachaças, balsam and oak. For the class of cachaça aged in umburana, both models provided similar and good results. Consequently, a fused PLS-DA model based on the UV-Vis and emission spectra was developed, providing highest classification for four out of the five analysed classes. The only exception was the class of samples aged in oak, better classified using emission spectra and NPLS-DA .
Using the combination of absorption (UV/VIS, NIR) and fluorescence spectroscopic data, it has been possible to distinguish the single-malt whiskies from the commercial-grade blended whiskies. First, PCA was applied to each data-block. Next a joint-data matrix containing PC1 and PC2 scores from UV/VIS data, PC1, PC2 and PC3 scores from NIR data and PC1 scores from fluorescence data was created. Then, LDA was applied to this matrix, and 100% classification was obtained .
3.2.2. Classification of spirit drinks according to the region of production
A few papers have been published on the use of fluorescence to classify spirit drinks according to the region of production. UV absorption spectra, TLS and SFS combined with PCA, PARAFAC and LDA were applied to distinguish between Slovak, Belgian, German, Czech and British JFSDs. PCA-LDA performed on the UV spectral data showed a good discrimination of Slovak, British, German and Czech drinks; however, the UV spectra failed to discriminate Belgian samples. LDA applied to the PARAFAC components calculated on TLS showed correct classification for German, Czech and Belgian drinks, whereas British samples were classified as belonging to Slovak group. PCA-LDA performed on the SFS data lead to the best discrimination as only one Slovak sample was classified as Belgian in the prediction step .
SFS combined with PCA-LDA have been used for the differentiation of plum spirits according to their geographical origin. The samples were divided in two categories: colourless and coloured. All colourless and Czech and Hungarian coloured samples were properly classified in both calibration and prediction sets. A group of Slovak coloured was classified as belonging to the Hungarian group in the calibration set; however, it was correctly classified in the prediction step .
SFS and pattern-recognition methods have been used for searching the natural grouping among Slovak JFSDs. LDA was applied to the first PCs; however, GDA,
3.3. Determination of adulterants
TLS and PARAFAC-PLS have been used for the determination of the adulterants (mixed wine spirits, water, ethanol and methanol) in adulterant-brandy blends [73, 74]; the best results were obtained for ethanol (RMSEP = 0.20% and
Our literature survey revealed that the intrinsic fluorescence from spirit drinks contains valuable information on the quality and origin of such products. Many of the reported studies examining the potential of fluorescence spectroscopy to classify spirit drinks and/or quantify adulterants in spirit drinks until now have been preliminary or feasibility studies, performed on a limited number of samples. This was mainly due to the price and complexity of collecting an adequate number of samples with sufficient variation within the sample set. Therefore, appropriate verification should always be performed before implementation of any such method. The results presented were usually achieved using a conventional spectrophotometer, which can be replaced by diode lasers or bright light-emitting diodes as good alternative light sources. This reduces hardware complexity and can lead to a compact portable device to be used for authentication or fraud detection. The increasing research work is needed to better explore the connection between chemical composition and fluorescence spectra, which in most cases is not fully described. Instead, the tentative assignments of fluorophores are suggested in the application studies. Thus, fluorescence spectroscopy presents several opportunities for future research with potential application in spirit drink analysis.
This research was supported by the Scientific Grant Agency of the Ministry of Education of Slovak Republic and the Slovak Academy of Sciences VEGA No 1/0499/14.
Sádecká J., Tóthová J. Fluorescence spectroscopy and chemometrics in the food classification. Czech Journal of Food Sciences. 2007; 25:159–173.
Karoui R., Blecker Ch. Fluorescence spectroscopy measurement for quality assessment of food systems—a review. Food Bioprocess Technol. 2011; 4:364–386.
Al-Rawashdeh N.A.F. Current achievement and future potential of fluorescence spectroscopy. In: Uddin J., editor. Macro To Nano Spectroscopy. InTech; 2012. pp. 209–250. DOI: 10.5772/48034.
Regulation (EC) No. 110/2008 of the European Parliament and of the Council of 15 January 2008 on the definition, description, presentation, labelling and the protection of geographical indications of spirit drinks and repealing Council Regulation (EEC) No. 1576/89. Official Journal of the European Union. 2008; L39:16–54.
Buglass A.J., editor. Handbook of Alcoholic Beverages: Technical, Analytical and Nutritional Aspects, 2 Volume Set. Chichester: Wiley; 2011. 1204 p. ISBN: 978-0-470-51202-9.
Otto M. Chemometrics. 2nd ed. Weinheim: Wiley-Vch; 2007. 343 p. ISBN: 978-3-527-31418-8.
Lakowicz J.R., editor. Principles of Fluorescence Spectroscopy. 3rd ed. Springer US; 2006. 954 p. DOI: 10.1007/978-0-387-46312-4.
Guilbault G.G., editor. Practical Fluorescence. 2nd ed. Marcel Dekker; 1990. 826 p. ISBN: 978-0824783501.
Airado-Rodríguez D., Durán-Merás I., Galeano-Díaz T., Wold J.P. Front-face fluorescence spectroscopy: A new tool for control in the wine industry. Journal of Food Composition and Analysis. 2011; 24:257–264.
Lloyd J. B. F. Synchronized excitation of fluorescence emission spectra. Nature. 1971; 231:64-65. DOI: 10.1038/10.1038/physci231064a0.
Divya O., Mishra A.K. Understanding the concept of concentration-dependent red-shift in synchronous fluorescence spectra: Prediction of λmax, SFS and optimization of Δλ for synchronous fluorescence scan. Analytica Chimica Acta. 2008; 630:47–56. DOI: 10.1016/j.aca.2008.09.056.
Žiak Ľ., Sádecká J., Májek P., Hroboňová K. Simultaneous determination of phenolic acids and scopoletin in brandies using synchronous fluorescence spectrometry coupled with partial least squares. Food Analytical Methods. 2014; 7:563-570. DOI: 10.1007/s12161-013-9656-y.
Liu Y., Luo X.S., Shen Z.H., Lu J., Ni X.W. Studies on molecular structure of ethanol-water clusters by fluorescence spectroscopy. Optical Review. 2006; 13:303-307.
Bin W., Ying L., Caiqin H., Xiaosen L., Jian L., Xiaowu N. Derivative fluorimetry analysis of new cluster structures formed by ethanol and water molecules. Chinese Optics Letters. 2009; 7:159-161. DOI: 10.3788/COL20090702.0159.
Hua Q., Shengwan Z., Wei W. Fluorescence spectroscopic and viscosity studies of hydrogen bonding in Chinese Fenjiu. Journal of Bioscience and Bioengineering. 2013; 115:405-411. DOI: 10.1016/j.jbiosc.2012.10.023.
Lachenmeier D.W., Anh P.T.H., Popova S., Rehm J. The quality of alcohol products in Vietnam and its implications for public health. International Journal of Environmental Research and Public Health. 2009; 6:2090–2101. DOI: 10.3390/ijerph6082090.
Siříšťová L., Přinosilová Š., Riddellová K., Hajšlová J., Melzoch M. Changes in quality parameters of vodka filtered through activated charcoal. Czech Journal of Food Science. 2012; 30:474–482.
Thete A.R., Henkel T., Göckeritz R., Endlich M., Köhler J.M., Gross G.A. A hydrogel based fluorescent micro array used for the characterization of liquid analytes. Analytica Chimica Acta. 2009; 633:81–89. DOI: 10.1016/j.aca.2008.11.030.
Sádecká J., Uríčková V., Hroboňová K., Májek P. Classification of juniper-flavoured spirit drinks by multivariate analysis of spectroscopic and chromatographic data. Food Analytical Methods. 2015; 8:58–69. DOI: 10.1007/s12161-014-9869-8.
Janáčová A., Jakubík T., Pažitná A., Špánik I. The comparison of VOC composition of juniper favored spirit drinks from various EU countries using GC-TOFMS. In: Joint Congress 2011 including 35th ISCC, 26th MSB and 8th GCxGC Symposium; 1–5 May 2011; San Diego.
Robbat Jr. A., Kowalsick A., Howell J. Tracking juniper berry content in oils and distillates by spectral deconvolution of gas chromatography/mass spectrometry data. Journal of Chromatography A. 2011; 1218:5531–5541. DOI: 10.1016/j.chroma.2011.06.053.
Vichi S., Riu-Aumatell M., Buxaderas S., López-Tamames E. Assessment of some diterpenoids in commercial distilled gin. Analytica Chimica Acta. 2008; 628:222–229. DOI: 10.1016/j.aca.2008.09.005.
Zhan H., Jiang Z.T., Wang Y., Li R., Dong T.S. Molecular microcapsules and inclusion interactions of eugenol with β-cyclodextrin and its derivatives. European Food Research and Technology. 2008; 227:1507–1513. DOI 10.1007/s00217-008-0873-3.
Mateo C.R., Prieto M., Micol V., Shapiro S., Villalain J. A fluorescence study of the interaction and location of (+)-totarol, a diterpenoid bioactive molecule, in model membranes. Biochimica et Biophysica Acta. 2000; 1509:167–175. DOI: 10.1016/S0005-2736(00)00291-1.
Uríčková V., Sádecká J., Májek P. Classification of Slovak juniper-flavoured spirit drinks. Journal of Food and Nutrition Research. 2015; 54:298–307.
Tomková M., Sádecká J., Hroboňová K. Synchronous fluorescence spectroscopy for rapid classification of fruit spirits. Food Analytical Methods. 2015; 8:1258–1267. DOI: 10.1007/s12161-014-0010-9.
Uríčková V., Sádecká J., Májek P. Right-angle fluorescence spectroscopy for differentiation of distilled alcoholic beverages. Nova Biotechnologica et Chimica. 2013; 12:83–92. DOI: 10.2478/nbec-2013-0010.
Tóthová J., Sádecká J., Májek P. Total luminescence spectroscopy for differentiating between brandies and wine distillates. Czech Journal of Food Sciences. 2009; 27:425–432.
Mosedale J.R., Puech J.L. Wood maturation of distilled beverages. Trends in Food Science & Technology. 1998; 9:95–101. DOI: 10.1016/S0924-2244(98)00024-7.
Sádecká J., Tóthová J., Májek P. Classification of brandies and wine distillates using front face fluorescence spectroscopy. Food Chemistry. 2009; 117:491–498. DOI: 10.1016/j.foodchem.2009.04.053.
The Scotch Whisky Regulations 2009, UK Government [Internet]. 2009. Available from: http://www.legislation.gov.uk/uksi/2009/2890/pdfs/uksi_20092890_en.pdf [Accessed: 2016-02-01]
Mignani A.G., Ciaccheri L., Gordillo B., Mencaglia A.A., González-Miret M.L., Heredia F.J., et al. Identifying the production region of single-malt Scotch whiskies using optical spectroscopy and pattern recognition techniques. Sensors and Actuators B. 2012; 171–172:458–462. DOI: 10.1016/j.snb.2012.05.01.
Muñoz-Muñoz A.C., Pichardo-Molina J.L., Ramos-Ortíz G., Barbosa-García O., Maldonado J.L., Meneses-Nava M.A., et al. Identification and quantification of furanic compounds in tequila and mezcal using spectroscopy and chemometric methods. Journal of the Brazilian Chemical Society. 2010; 21:1077–1087. DOI: 10.1590/S0103-50532010000600018.
Magana A.A., Wrobel K., Elguera J.C.T., Escobosa A.R.C., Wrobel K. Determination of small phenolic compounds in tequila by liquid chromatography with ion trap mass spectrometry detection. Food Analytical Methods. 2015; 8:864–872. DOI: 10.1007/s12161-014-9967-7.
Araujo-Andrade C., Frausto-Reyes C., Gerbino E., Mobili P., Tymczyszyn E., Esparza-Ibarra E.L., Ivanov-Tsonchev R., Gómez-Zavaglia A. Application of principal component analysis to elucidate experimental and theoretical information. In: Sanguansat P, editor. Principal Component Analysis. InTech; 2012. pp. 23–48. DOI: 10.5772/36970.
Ávila-Reyes J.A., Almaraz-Abarca N., Delgado-Alvarado E.A., González-Valdez L.S., del Toro G.V., Páramo E.D. Phenol profile and antioxidant capacity of mescal aged in oak wood barrels. Food Research International. 2010; 43:296–300. DOI: 10.1016/j.foodres.2009.10.002.
Frausto-Reyesa C., Medina-Gutiérrez C., Sato-Berrú R., Sahagún L.R. Qualitative study of ethanol content in tequilas by Raman spectroscopy and principal component analysis. Spectrochimica Acta Part A. 2005; 61:2657–2662. DOI: 10.1016/j.saa.2004.10.008.
Arvizu A.R. Detection of compounds by laser-induced fluorescence. Unidad Profesional Adolfo López Mateos Edificio N°7: Instituto Politécnico Nacional; 2007.
Vázquez J.M.R., Fabila-Bustos D.A., Quintanar-Hernández L.F.J., Valor A., Stolik S. Detection of counterfeit tequila by fluorescence spectroscopy. Journal of Spectroscopy. 2015; 2015:1–7. DOI: 10.1155/2015/403160.
da Silva A.A., do Nascimento E.S., Cardoso D.R., Franco D.W. Coumarins and phenolic fingerprints of oak and Brazilian woods extracted by sugarcane spirit. Journal of Separation Science. 2009; 32:3681–3691. DOI: 10.1002/jssc.200900306.
Aquino F.W.B., Rodrigues S., Nascimento R.F., Casimiro A.R.S. Simultaneous determination of ageing markers in sugar cane spirits. Food Chemistry. 2006; 98:569–574. DOI: 10.1016/j.foodchem.2005.07.034 .
Ledauphin J., Saint-Clair J.F., Lablanquie O., Guichard H., Founier N., Guichard E., Barillier D. Identification of trace volatile compounds in freshly distilled Calvados and Cognac using preparative separations coupled with gas chromatography-mass spectrometry. Journal of Agricultural and Food Chemistry. 2004; 52:5124–5134. DOI: 10.1021/jf040052y.
Ledauphin J., Le Milbeau C., Barillier D., Hennequin D. Differences in the volatile compositions of French labeled brandies (Armagnac, Calvados, Cognac, and Mirabelle) using GC-MS and PLS-DA. Journal of Agricultural and Food Chemistry. 2010; 58:7782–7793. DOI: 10.1021/jf9045667.
Bernardes C.D., Barbeira P.J.S. Different chemometric methods for the discrimination of commercial aged Cachaças. Food Analytical Methods. 2016; 9:1053–1059. DOI: 10.1007/s12161-015-0284-6.
Savchuk S.A., Vlasov V.N., Appolonova S.A., Arbuzov V.N., Vedenin A.N., Mezinov A.B., et al. Application of chromatography and spectrometry to the authentication of alcoholic beverages. Journal of Analytical Chemistry. 2001; 56:214–231. DOI: 10.1023/A:1009446221123.
Kuswandi B., Ahmad M. Recent progress in alcohol biosensors. OA Alcohol. 2014; 2:1–8.
Bozkurt S.S., Merdivan E., Benibol Y. A fluorescent chemical sensor for ethanol determination in alcoholic beverages. Microchimica Acta. 2010; 168:141–145. DOI: 10.1007/s00604-009-0271-y.
Bosch M.E., Sánchez A.J.R., Rojas F.S., Ojeda C.B. Recent development in optical fiber biosensors. Sensors. 2007; 7:797–859. DOI: 10.3390/s7060797.
Zeng H.H., Wang K.M., Li D., Yu R.Q. Development of an alcohol optode membrane based on fluorescence enhancement of fluorescein derivatives. Talanta. 1994; 41:969–975. DOI: 10.1016/0039-9140(94)E0103-X.
Akamatsu M., Mori T., Okamoto K., Komatsu H., Kumagai K., Shiratori S., et al. Detection of ethanol in alcoholic beverages or vapor phase using fluorescent molecules embedded in a nanofibrous polymer. ACS Applied Materials & Interfaces. 2015; 7:6189–6194. DOI: 10.1021/acsami.5b00289.
Zhang L., Qi H., Wang Y., Yang L., Yu P., Mao L. Effective visualization assay for alcohol content sensing and methanol differentiation with solvent stimuli-responsive supramolecular ionic materials. Analytical Chemistry. 2014; 86:7280–7285. DOI: 10.1021/ac5014546.
Deng J., Ma W., Yu P., Mao L. Colorimetric and fluorescent dual mode sensing of alcoholic strength in spirit samples with stimuli-responsive infinite coordination polymers. Analytical Chemistry. 2015; 87:6958–6965. DOI: 10.1021/acs.analchem.5b01617.
Fernández Izquierdo M.E., Quesada Granados J., Villalón Mir M., López Martinez M.C. Comparison of methods for determining coumarins in distilled beverages. Food Chemistry. 2000; 70:251–258. DOI: 10.1016/S0308-8146(00)00071-6.
Canas S., Belchior A.P., Spranger M.I., Bruno-de-Sousa R. High-performance liquid chromatography method for analysis of phenolic acids, phenolic aldehydes, and furanic derivatives in brandies. Development and validation. Journal of Separation Science. 2003; 26:496–502. DOI: 10.1002/jssc.200390066.
Sádecká J., Tóthová J. Spectrofluorimetric determination of ellagic acid in brandy. Food Chemistry. 2012; 135:893–897. DOI: 10.1016/j.foodchem.2012.06.019.
Sádecká J., Tóthová J. Determination of caramel in non-aged mixed wine spirits by synchronous fluorescence spectroscopy. European Food Research and Technology. 2010; 230:797–802. DOI 10.1007/s00217-010-1221-y.
Lachenmeier D.W., Leitz J., Schoeberl K., Kuballa T., Straub I., Rehm J. Quality of illegally and informally produced alcohol in Europe: results from the AMPHORA project. Adicciones. 2011; 23:133–140.
Lachenmeier D.W., Monakhova Y.B., Rehm J., Kuballa T., Straub I. Occurrence of carcinogenic aldehydes in alcoholic beverages from Asia. The International Journal of Alcohol and Drug Research. 2013; 2:31–36. DOI: 10.7895/ijadr.v2i2.88.
Zhao X.-Q., Zhang Z.-Q. Microwave-assisted on-line derivatization for sensitive flow injection fluorometric determination of formaldehyde in some foods. Talanta. 2009; 80:242–245. DOI: 10.1016/j.talanta.2009.06.066.
de Andrade J.B., Bispo M.S., Rebouças M.V., Carvalho M.L.S.M., Pinheiro H.L.C. Spectrofluorimetric determination of formaldehyde in liquid samples. American Laboratory. 1996; 8:56–58.
de Oliveira F.S., Sousa E.T., de Andrade J.B. A sensitive flow analysis system for the fluorimetric determination of low levels of formaldehyde in alcoholic beverages. Talanta.2007; 73:561–566. DOI: 10.1016/j.talanta.2007.04.027.
Ohe T.H.K., da Silva A.A., Rocha T.daS., de Godoy F.S., Franco D.W. A fluorescence-based method for cyanate analysis in ethanol/water media: correlation between cyanate presence and ethyl carbamate formation in sugar cane spirit. Journal of Food Science. 2014; 79:C1950–C1955. DOI: 10.1111/1750-3841.12587.
Wang J., Gao L., Han D., Pan J., Qiu H., Li H., et al. Optical detection of λ-cyhalothrin by core-shell fluorescent molecularly imprinted polymers in Chinese spirits. Journal of Agricultural and Food Chemistry. 2015; 63:2392–2399. DOI: 10.1021/jf5043823.
da Silva A.C. Second-order calibration model for spectrofluorimetric determination of polycyclic aromatic hydrocarbons in distilled drinks. Cidade Universitária: Federal University of Paraíba; 2015
Ribeiro D.S., Prior J.A., Santos J.L., Lima J.L. Automated determination of diazepam in spiked alcoholic beverages associated with drug-facilitated crimes. Analytica Chimica Acta. 2010; 668:67–73. DOI: 10.1016/j.aca.2010.01.016.
Leesakul N., Pongampai S., Kanatharana P., Sudkeaw P., Tantirungrotechaid Y., Buranachaic C. A new screening method for flunitrazepam in vodka and tequila by fluorescence spectroscopy. Luminescence. 2013; 28:76–83. DOI: 10.1002/bio.2348.
Zhai D., Agrawalla B.K., Eng P.S., Lee S.C., Xu W., Chang Y.T. Development of a fluorescent sensor for an illicit date rape drug–GBL. Chemical Communications. 2013; 49:6170–6172. DOI: 10.1039/c3cc43153c.
Zhai D., Tan Y.Q.E., Xua W., Chang Y.-T. Development of a fluorescent sensor for illicit date rape drug GHB. Chemical Communications. 2014; 50:2904–2906. DOI: 10.1039/C3CC49603A.
Murphy K.R., Stedmon C.A., Graeber D., Bro R. Fluorescence spectroscopy and multi-way techniques. PARAFAC. Analytical Methods. 2013; 5:6557–6566. DOI: 10.1039/C3AY41160E.
Píš Ľ., Májek P., Sádecká J. Synchronous fluorescence spectroscopy for differentiating between brandies and wine distillates. Acta Chimica Slovaca. 2011; 4:47–581.
Ashok P.C., Praveen B.B., Dholakia K. Near infrared spectroscopic analysis of single malt Scotch whisky on an optofluidic chip. Optics Express. 2011; 19:22982–22992. DOI: 10.1364/OE.19.022982.
Sádecká J., Jakubíková M., Májek P., Kleinová A. Classification of plum spirit drinks by synchronous fluorescence spectroscopy. Food Chemistry. 2016; 196:783–790. DOI: 10.1016/j.foodchem.2015.10.001.
Markechová D., Májek P., Sádecká J. Fluorescence spectroscopy and multivariate methods for the determination of brandy adulteration with mixed wine spirit. Food Chemistry. 2014; 159:193–199. DOI: 10.1016/j.foodchem.2014.02.085.
Markechová D., Májek P., Kleinová A., Sádecká J. Determination of the adulterants in adulterant-brandy blends using fluorescence spectroscopy and multivariate methods. Analytical Methods. 2014; 6:379–386. DOI: 10.1039/C3AY41405A.
Jakubíková M., Sádecká J., Májek P. Determination of adulterants in adulterant-fruit spirit blends using excitation-emission matrix fluorescence spectroscopy. Acta Chimica Slovaca. 2015; 8:52–58. DOI: 10.1515/acs-2015-0010.