| Literature DB >> 31284416 |
Liang Chen1, Dimitra L Capone1,2, David W Jeffery3,4.
Abstract
Certain volatile thiols are some of the most potent odour-active molecules that are found in nature. Thiols play significant roles in the aroma qualities of a range of foods and beverages, including wine, with extremely low odour detection thresholds (nanogram per litre range). A fundamental understanding of their formation, fate, and impact essentially depends on the development of suitable analytical methods. The analysis of volatile thiols in foods and beverages is a challenging task when considering (1) the complexity of food and beverage matrices and (2) that thiols are highly reactive, low molecular-weight volatiles that are generally present at trace to ultra-trace concentrations. For the past three decades, the analytical evaluation of volatile thiols has been intensively performed in various foods and beverages, and many novel techniques related to derivatisation, isolation, separation, and detection have been developed, particularly by wine researchers. This review aims to provide an up-to-date overview of the major analytical methodologies that are proposed for potent volatile thiol analysis in wine, foods, and other beverages. The analytical challenges for thiol analysis in foods and beverages are outlined, and the main analytical methods and recent advances in methodology are summarised and evaluated for their strengths and limitations. The key analytical aspects reviewed include derivatisation and sample preparation techniques, chromatographic separation, mass spectrometric detection, matrix effects, and quantitative analysis. In addition, future perspectives on volatile thiol research are also suggested.Entities:
Keywords: derivatisation; gas chromatography; high performance liquid chromatography; mass spectrometry; matrix effect; sample preparation; stable isotope dilution assay; targeted quantitation; untargeted identification
Year: 2019 PMID: 31284416 PMCID: PMC6650874 DOI: 10.3390/molecules24132472
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1(a) Doughnut chart showing the relative percentages of volatile sulfur compounds identified in foods according to Volatile Compounds in Foods database [1], where each segment represents one chemical category of volatiles; (b) Examples of chemical structure, aroma descriptor, and ODT of some of the most studied volatile thiols in wine [4]; and, (c) Bibliometric map of volatile thiol research visualised from a total of 395 publications (from 1990–2019) retrieved from Web of Science Core Collection using “Volatile Thiols” as keyword. Literature analysis and graph construction by VOSviewer [5]. Note the abbreviations 3-MH and 3-MHA used in panel (c) are in keeping with much of the earlier literature; however, the IUPAC names (i.e., sulfanyl prefix instead of mercapto) are used in this review and abbreviated as 3-SH and 3-SHA.
Isolation methods developed for analysis of potent volatile thiols in wines, foods, and other beverages.
| Entry No. | Reference | No. of Analytes 1 | Matrix | Sample Amount | Isolation Overview 2 | Major Methodological Parameters 3 | Comments 4 |
|---|---|---|---|---|---|---|---|
| 1 | 1995 [ | 1 [ID] | Wine | 1000 mL | LLE ⇒ selective extraction [ | • LLE × 3 using | + Reversible tagging allows thiols to be analysed in native form by GC–O |
| 2 | 1998 [ | 5 [QT] | Wine | 500 mL | LLE ⇒ selective extraction [ | • 4-Methoxy-2-methyl-2-butane as IS | |
| 3 | 2003 [ | 3 [QT] | Wine | 500 mL | LLE ⇒ selective extraction [ | • SIDA | |
| 4 | 2017 [ | 1 [QT] | Hops | 350 g | LLE ⇒ SAFE ⇒ selective extraction [ | • SIDA | |
| 5 | 2017 [ | 6 [QT] | Beer, hops | 20 mL, 2 g | LLE ⇒ Ag+ resin based SPE | For beer: | + Novel SPE concept |
| 6 | 2006 [ | 2 [QT] | Wine | 10 mL | HS–SPME with automated on-fibre derivatisation [PFBBr] | • PDMS/DVB SPME fibre | + Moderate amounts of sample required |
| 7 | 2007 [ | 4 [QT] | Wine | 6 mL | LLE ⇒ derivatisation [PFBBr] | • Four IS | |
| 8 | 2008 [ | 5 [QT] | Wine | 10 mL | Derivatisation | • SIDA | |
| 9 | 2009 [ | 3 [QT] | Wine | 100 mL | Derivatisation [ | • Similar to [ | |
| 10 | 2011 [ | 1 [QT] | Wine | 200 mL | LLE ⇒ derivatisation [PFBBr] ⇒ HS–SPME | • SIDA | |
| 11 | 2015 [ | 3 [QT] | Wine | 40 mL | Simultaneous LLE extraction and derivatisation [PFBBr] ⇒ HS–SPME | • SIDA | |
| 12 | 2013 [ | 3 [QT] | Wine | 50 mL | Derivatisation [ETP] ⇒ SPE | • SIDA | − Poor reaction efficiency with 4-MSP |
| 13 | 2015 [ | 3 [QT] | Beer, wort, hops | 20 mL | Derivatisation [ETP] and SBSE | • SIDA | − Long extraction time |
| 14 | 2014 [ | 1 [QT] | Wine | 3 mL | Automated derivatisation of 4-MSP carbonyl [ | • SIDA | + Easy automated extraction approach |
| 15 | 2015 [ | 2 [QT] | Wine | 180 mL | LLE ⇒ derivatisation [OPA] | • SIDA | − Large sample volume |
| 16 | 2013 [ | 7 [QT] | Olive oil | 2 g | Single step derivatisation [ebselen] | • 4-Methoxy-α-toluenethiol | + Simple and fast extraction |
| 17 | 2015 [ | 5 [QT] | Wine | 20 mL | Derivatisation [DTDP] ⇒ SPE | • SIDA | + Simple extraction |
| 18 | 2014 [ | 1 [ID] | Beer | 100 µL | Single step stable isotope labelled chemical derivatisation [d0/d7-BQB] | • BQB dried under N2
| + Stable isotope derivatisation applied |
| 19 | 2017 [ | 6 [QT] | Wine | 100 mL | Selective extraction [ | • LiChrolut-EN SPE mercurated with | |
| 20 | 2018 [ | 4 [QT] | Coffee bean, cookies, fried nuts, biscuit | 2 g | GP–MSE ⇒ derivatisation [PIPD] | • Gas purge with N2
| + No pre-enrichment step |
1 ID: identification; QT: quantitation. 2 Only major steps are presented. See text and Figure 2 for reagent abbreviations; GP–MSE: gas purge microsyringe extraction. 3 IS: internal standard; SAFE: solvent-assisted flavour evaporation; PDMS: polydimethylsiloxane; DVB: divinylbenzene; CAR: carboxen; SIDA: stable isotope dilution assay; PVPP: polyvinylpolypyrrolidone; MeOH: methanol. 4 +: advantage; −: disadvantage; ♦: application of similar extraction approaches reported in foods and beverages; GC–O: gas chromatography–olfactory; MS: mass spectrometry.
Figure 2Derivatisation reagents and reactions of volatile thiols in wine, foods, and other beverages for (a) gas chromatography (GC) analysis, (b) liquid chromatography (LC) analysis, and (c) LC with stable isotope labelled derivatisation reagents. PFBBr: 2,3,4,5,6-pentafluorobenzyl bromide; ETP: ethyl propiolate; OPA: o-phthaldialdehyde; ebselen: 2-phenyl-1,2-benzisoselenazol-3(2H)-one; DTDP: 4,4′-dithiodipyridine; PIPD: 1-(4-(1H-phenanthro[9,10-d]imidazol-2-yl)phenyl)-1H-pyrrole-5-dione; BQB: ω-bromoacetonylquinolinium bromide; AENM: acridone-10-ethyl-N-maleimide.
Instrumental methods reported for potent volatile thiols in wine, foods, and other beverages.
| Entry No. 1 | No. of Thiols | Year | Matrix | Analyte Form 2 | Analytical Instrumentation | Aim 3 | Major Separation Parameters 4 | ME 5 | LOD 6 | RSD 7 (%) | Recovery 8 (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1995 [ | Wine | Free | GC–O, –FPD, –EI–MS | ID | • Multiple columns | – | – | – | – |
| 2 | 5 | 1998 [ | Wine | Free | GC–EI–MS | QT | • BP20 (50 m × 0.22 mm, 0.25 µm) | – | – | 4–10 | 75–80 |
| 3 | 3 | 2003 [ | Wine | Free | GC–NCI–ITMS/MS, –AED | QT | • DB WAX (30 m × 0.25 mm, 0.5 µm) for MS | – | ⇔ | <12 | – |
| 4 | 12 | 2006 [ | Beer | Free | GC–O, –PFPD, –FID, –EI–MS | ID | • CP-Sil 5 CB (50 m × 0.32 mm, 1.2 µm) or FFAP CB (25 m × 0.32 mm, 0.3 µm) for O, FID, PFPD | – | – | – | – |
| 5 | 2 | 2006 [ | Wine | Deriv. | GC–ECD,–NCI–MS | QT | • VF-5ms (20 m × 0.15 mm, 0.15 µm) | Y | < | 10–20 | – |
| 6 | 2 | 2007 [ | Wine | Free | GC–EI–MS | QT | • INNOwax (30 m × 0.32 mm, 0.25 µm) connected to HP-1 (10 m × 0.32 mm, 0.25 µm) | N | > | – | ≈100 |
| 7 | 4 | 2007 [ | Wine | Deriv. | GC–CI–MS | QT | • VF-5ms (20 m × 0.15 mm, 0.15 µm) | Y/N | < | 10–17 | – |
| 8 | 5 | 2008 [ | Wine | Deriv. | GC–CI–MS | QT | • VF-5ms (20 m × 0.15 mm, 0.15 µm) | Y | < | 1–20 | 47–123 |
| 9 | 2 | 2008 [ | Wine | Free | GC–EI–MS | QT | • TR-5MS (30 m × 0.25 mm, 0.25 µm) | N | ⇔ | – | – |
| 10 | 1 | 2008 [ | Cheese | Free | GC–O, –PFPD, –EI–MS | ID, QT | • DB-XLB (30 m × 0.25 mm, 0. 5 µm) | – | – | – | >70 |
| 11 | 5 | 2009 [ | Wine | Free | GC–EI–ITMS | QT | • DB-WAXetr (60 m × 0.25 mm, 0.25 µm) | – | ⇔ | 6.5–12.3 | 28–123 |
| 12 | 3 | 2009 [ | Wine | Deriv. | GC–CI–MS | QT | • Optima Wax (30 m × 0.25 mm, 0.25 µm) | N | < | <10 | – |
| 13 | 1 | 2011 [ | Wine | Deriv. | GC–EI–MS | QT | • DB-5ms (60 m × 0.25 mm, 0.25 µm) | N | < | <2.5 | – |
| 14 | 3 | 2013 [ | Wine | Deriv. | GC–EI–MS | QT | • HP-INNOwax (60 m × 0.25 mm, 0.25 µm) | N | ⇔ | 1.9–17 | 94–112 |
| 15 | 7 | 2013 [ | Olive oil | Deriv. | HPLC–ESI–Orbitrap MS | QT | • Luna C18 (150 mm × 2.1 mm, 5 µm) | Y | < | ≈13 | 79–20 |
| 16 | 1 | 2014 [ | Beer | Deriv. | LC–ESI–MS/MS | ID | • VP-ODS column (150 mm × 2.0 mm, 5 μm) | – | – | – | – |
| 17 | 1 | 2014 [ | Wine | Deriv. | GC–EI–MS/MS | QT | • DB-WAX (60 m × 0.25 mm, 0.25 µm) | N | < | 15 | 99–102 |
| 18 | 3 | 2015 [ | Wine | Deriv. | GC–EI–MS | QT | • DB-FFAP (30 m × 0.25 mm, 0.25 µm) | N | ⇔ | 5–11 | 90–109 |
| 19 | 5 | 2015 [ | Wine | Free | GC–MS/MS(QqQ) | QT | • BP20 (2 m × 0.25 mm, 0.22 µm) connected to ZB-1ms (60 m × 0.25 mm, 1 µm) | N | < | 5–18 | 86–110 |
| 20 | 3 | 2015 [ | Beer, hops, wort | Deriv. | GC–EI–Q–TOF–MS/SCD | ID, QT | • DB-WAX (30 m × 0.25 mm, 0.25 µm) | – | < | 1.3–7.2 | 99–101 |
| 21 | 2 | 2015 [ | Wine | Deriv. | UHPLC–ESI–MS/MS(QqQ) | QT | • Acquity UPLC BEH C18 (100 mm × 2.1 mm, 1.7 μm) | Y/N | < | 0.6–11.9 | 98–128 |
| 22 | 5 | 2015 [ | Wine | Deriv. | HPLC–ESI– MS/MS(QqQ) | QT | • Alltima C18 (250 mm × 2.1 mm, 5 μm) | – | ⇔ | <8.5 | 94–103 |
| 23 | 1 | 2016 [ | Wine | Free | GC–EI–MS/MS (QqQ) | QT | • ZB-1ms (60 m × 0.25 mm, 1 µm) | – | < | 9 | – |
| 24 | 2 | 2017 [ | Wine | Free | GC–EI–MS/MS (QqQ) | ID | • ZB-1ms (60 m × 0.25 mm, 1 µm) | – | – | – | – |
| 25 | 6 | 2017 [ | Beer, hops | Free | GC–EI–MS/MS(QqQ) | QT | • InertCap Pure-WAX (30 m × 0.25 mm, 0.25 µm) | – | < | 2.8–8.4 | 74–113 |
| 26 | 6 | 2017 [ | Wine | Deriv. | UHPLC–ESI–MS/MS(QqQ) | QT | • Eclipse Plus C18 column (50 mm × 2.1 mm, 1.8 µm) | N | ⇔ | ≤3.5 | ≥78 |
| 27 | 1 | 2017 [ | Hops | Free | GC×GC–Q–TOF | QT | • Q–TOF: 1st GC: DB-FFAP (30 m × 0.25 mm, 0.25 µm), 2nd GC: DB-5 (2 m × 0.15 mm, 0.30 µm) | N | < | <15 | 109 ± 6 |
| 28 | 2 | 2018 [ | Wine | Deriv. | HPLC–ESI–MS/MS(QqQ) | QT | • Polysaccharide Amylose-1 column | Y/N | < | <8 | 90–110 |
| 29 | 8 | 2018 [ | Coffee bean, cookie, fried nut, biscuit | Deriv. | HPLC–FLD-APCI-MS | QT | • Eclipse XDB-C18 column (150 mm × 4.6 mm, 5 µm) | N | > | 4.98 | 86–97 |
| 30 | 4 | 2018 [ | Wine | Deriv. | UPC2–MS/MS(QqQ) | QT | • BEH 2-EP column (100 mm × 3 mm, 1.7 µm) | N | < | 8–18 | 94–119 |
| 31 | 11 | 2019 [ | Fruit, wine | Free | GC–O, –FID, –SCD, | ID, QT | • DB-FFAP (30 m × 0.32 mm, 0.25 µm) | – | – | – | – |
1 Entry number in bold indicates the method is a stable isotope dilution assay (SIDA). 2 free: analytes in free thiol form; deriv.: analytes in thiol derivative form. 3 ID: identification, QT: quantitation. 4 GC column dimension expressed as (length × internal diameter, film thickness; LC column dimension expressed as (length × internal diameter, particle size); A: mobile phase A; B: mobile phase B; MeCN: acetonitrile; MeOH: methanol. 5 ME: matrix effect; Y: ME existed, N: ME not evident; Y/N: ME observed for some analytes; –: not evaluated. 6 LOD expressed in comparison to the odour detection thresholds (ODT) of the analytes; <: LOD < ODT; >: LOD > ODT; ⇔: methods involved multiple analytes where LOD > ODT for some analytes and LOD < ODT for others; –: not reported. 7 RSD: repeatability (%); –: not reported. 8 –: not reported.