Abstract
α-Diketones such as diacetyl (2,3-butanedione) and 2,3-pentanedione are generated during the roasting and fermentation of foods and are also used as flavoring compounds. Exposure to these compounds has been associated with obliterative bronchiolitis in workers. We report indoor air concentrations of diacetyl and 2,3-pentanedione, as well as acetoin (3-hydroxy-2-butanone), in several small coffee roasteries and breweries using standard integrated air sampling sorbent tubes followed by gas chromatography tandem mass spectrometry as well as the first use of on-site continuous real-time proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS). Diacetyl and 2,3-pentanedione were detected in most of the sorbent samples at concentrations between 0.02 and 8 ppbv, and in general were higher in coffee roasteries compared with breweries. Three integrated air samples, all from the barista area at one facility, exceeded the NIOSH recommended exposure limit (REL) of 5 ppbv for diacetyl. 2,3-Pentanedione concentrations in these three samples were greater than 50% of its REL, but did not exceed it. Acetoin, a precursor to diacetyl, was also detected at concentrations between 0.03 and 5 ppbv in most sorbent tube samples, with concentrations generally higher in breweries. PTR-ToF-MS measurements exhibited similar trends and provided continuous real-time volatile organic compound data that showed episodic excursions with peak concentrations of diacetyl and 2,3-pentanedione between 15 and 20 ppbv. Examination of the time series data identified specific activities associated with peak diketone emissions, including transfer of freshly roasted coffee beans to the cooling tray, or the opening of a brew kettle. Additional indoor air quality parameters including CO2, NO2, and PM2.5 were also assessed on-site. Airway inflammation was assessed in 19 workers before and after each work shift using online measurements of fractional exhaled nitric oxide (FENO). The pre-shift mean FENO was 3.7 (95% confidence interval: −3.6, 11.0) ppbv higher and the post-shift FENO was 7.1 (−1.9, 16.1) ppbv higher for workers at coffee roasteries compared with breweries. The cross-shift change in FENO was 3.4 (−2.8, 9.6) ppbv higher for workers at coffee roasteries compared with breweries. However, none of these differences were statistically significant, and the cross-shift change in FENO was not statistically different from zero for either group of workers. The findings from this pilot study demonstrate that α-diketones and related compounds are present in the indoor air of both breweries and coffee roasteries and may exceed health protective guidelines in coffee roasteries. Additional studies are required to fully characterize worker exposures in these settings and to identify specific work activities and processes associated with high exposures. Engineering controls, including targeted exhaust ventilation and the use of low-cost sensors, are recommended as an approach to protect workers from exposure to hazardous levels of α-diketones.
Keywords: 2,3-pentanedione; coffee industry; diketone; direct mass spectrometry; indoor air; real-time measurements; respiratory disease; workplace air quality
What’s Important About This Paper?
α-Diketones such as diacetyl (2,3-butanedione) and 2,3-pentanedione are generated during the roasting and fermentation of foods and are also used as flavoring compounds. Exposure to these compounds has been associated with obliterative bronchiolitis in popcorn and coffee manufacturing workers. This study found concentration excursions were higher in coffee facilities compared with breweries. Within the coffee facilities, high concentrations were associated with roasting and grinding activities and were episodic, suggesting that strategic engineering controls can limit personal exposures to diacetyl and related compounds.
Introduction
Diacetyl and related α-diketones, such as 2,3-pentanedione, are added to food products as natural and artificial flavoring agents that impart a buttery taste and aroma (NIOSH, 2016). They are also present as natural byproducts in some fermented food products, including cheese, yogurt, miso, and beer (Ott et al., 1999, Frank et al., 2006, Giri et al., 2010, NIOSH, 2016), and in roasted food products such as coffee (Duling et al., 2016). Inhalation exposure to diacetyl and 2,3-pentanedione is associated with respiratory disease including obliterative bronchiolitis (Bailey et al., 2015), a severe, irreversible lung disease characterized by fixed airway obstruction.
In the early 2000s, cases of obliterative bronchiolitis were identified in diacetyl-exposed workers from a diacetyl manufacturing plant, several microwave popcorn manufacturing facilities (NIOSH, 2016), and in coffee processing facilities (Bailey et al., 2015, NIOSH, 2016, Harvey et al., 2021). Table 1 summarizes the 8-h time-weighted average (TWA) and short-term exposure limit (STEL) from the American Conference of Governmental Industrial Hygienists (ACGIH), the European Commission (EC), and the US National Institute for Occupational Safety and Health (NIOSH). The US Occupational Safety and Health Administration (OSHA) does not currently have a permissible exposure limit for these compounds. Although much research has focused on diacetyl-exposed workers in the food and flavor industry (Kreiss et al., 2002, Parmet and Von Essen, 2002, Akpinar-Elci et al., 2004, Kanwal et al., 2006), fewer studies have focused on small coffee roasteries and breweries. There are several recent publications that demonstrate coffee worker exposures to diacetyl and pentanedione in exceedance of the NIOSH RELs. In general, coffee grinding activities have been observed to give rise to higher concentrations than roasting. For example, the TWA 8-h diacetyl concentrations associated with coffee roasting and grinding were reported as 6.4 and 9.4 ppbv, respectively (McCoy et al., 2017). The results of several studies are summarized in recent reviews of the literature (LeBouf et al., 2020, Echt et al., 2021).
Table 1.
Recommended time-weighted and short-term exposure limits for diacetyl and 2,3-pentanedione
ACGIH | EC | NIOSH | ||||
---|---|---|---|---|---|---|
TWA 8 h |
STEL 15 min |
TWA 8 h |
STEL 15 min |
TWA 8 h |
STEL 15 min |
|
Diacetyl | 10 ppbv | 20 ppbv | 20 ppbv | 100 ppbv | 5 ppbv | 25 ppbv |
2,3-Pentandione | — | — | — | — | 9.3 ppbv | 31 ppbv |
Both integrated and continuous (direct reading) air sampling methods are common for measuring indoor and outdoor air. The two methods can provide complementary data sets (Davey et al., 2020), both of which have unique advantages and disadvantages. For example, integrated sampling that uses a sorbent tube combined with GC–MS analysis (LeBouf and Simmons, 2017) is both sensitive and selective providing quantitative measurements of individual volatile organic compounds (VOCs) on discrete samples. Continuous monitoring of VOCs using proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) (Warneke et al., 2011, Yuan et al., 2017) provides sensitive (pptv) and mass selective measurements with frequencies as high as 1 Hz. These time-resolved measurements provide unique insights on the impact of specific activities and/or engineering control systems that mitigate exposure. However, PTR-ToF-MS methods are generally less selective than gas chromatography tandem mass spectrometry methods, as structural isomers will appear at the same mass/charge ratio and are therefore not distinguished.
The objective of this pilot study is to use PTR-ToF-MS to continuously measure the concentrations of α-diketones and a known diacetyl precursor (acetoin) in several small coffee and beer processing facilities. These compounds were simultaneously measured over the course of the workday to identify short-term concentration excursions and their relationship to specific activities. Simultaneously, we collected integrated samples over an intermittent 8-h period as well as a continuous 1-h period on sorbent tubes at several locations within these facilities for off-line analysis following OSHA methodology (OSHA 1013 [2008], OSHA 1016 [2010]). We also present data for auxiliary indoor air quality including methane, carbon dioxide, nitrogen oxides, and fine particulate matter (PM2.5). Finally, workers were recruited to participate in exhaled breath monitoring for fractional exhaled nitric oxide (FENO), which is a marker of airway inflammation.
Methods
Method of workplace recruitment
Several craft coffee roasting and brewing business owners on Vancouver Island, BC, Canada were approached in person, via email, or through phone contacts. Participating facilities were selected based on location, size of operation, and interest level of owners/operators. Two coffee roasters (CR#1 and CR#2) and two breweries (BR#1 and BR#2) were selected to participate in the study. Details about the facilities (size, layout, sampling strategy, and number of employees) can be found in Supplementary Table S1 and Supplementary Figs S1–S8.
Study subjects
Workers were recruited from each of the facilities to participate in exhaled breath monitoring for FENO. Several days prior to the dates of sample collection, a one-page summary document describing the research study was sent to facility managers, who forwarded this information to their workers. On the morning of sample collection, workers who wished to participate in the exhaled breath sampling met with the research study coordinator and completed a consent form to participate in the study. The study procedures were reviewed and approved by the University of Washington Institutional review board (IRB ID: STUDY00002320). Between one and seven workers from each facility participated in the exhaled breath monitoring. FENO measurements were obtained from each subject immediately before they started the work-shift, and again at the end of the work shift. For two of the facilities, FENO measurements were obtained before and after two work shifts, whereas at the other two facilities only one pair of FENO measurements was obtained per worker.
Exhaled breath monitoring
Airway inflammation was assessed by measurements of FENO using a portable chemiluminescence analyzer (NIOX VERO; Morrisville, NC), according to manufacturer instructions. Quality control procedures were completed as specified by the manufacturer, which included (i) verification of instrument zero response consisting of a NO free gas sample automatically generated from ambient air and (ii) daily measurement of a positive control from one member of the research team with a stable FENO value within the normal biological range. In addition, subjects were instructed to avoid strenuous exercise or eating nitrate rich foods during the 3 h prior to FENO measurement.
Air sampling
We used two complimentary methods to measure diacetyl, 2,3-pentanedione, 2,3-hexanedione, 2,3-heptanedione, and acetoin in indoor air. The first method utilized sorbent tube samplers with subsequent GC–MS/MS analysis to measure time-integrated air concentrations. The second method employed was PTR-ToF-MS, which allows for direct continuous measurement for compounds of interest.
Sorbent tube sampling method
Full-shift 8-h TWA samples, designed to represent work shift average exposure, were collected at two to four locations within each facility. The locations were selected based on proximity to different tasks or activities within the facility. In addition, several 45- to 51-min short-term exposure samples were collected at each facility in conjunction with specific activities. For 8-h TWA samples, the pump was programmed to sample intermittently for 1 min in every 5 min across 8 h, to avoid breakthrough of the analyte on the sorbent tubes. For the short-term samples, designed to capture specific work activities, the pump operated continuously. These area samples allow for comparison of the standard sorbent tube method with the PTR-ToF-MS but do not represent the personal exposure of each employee. As such, exposure limits provide a benchmark against which the area samples may be compared, but the area samples do not represent actual exposures. Sample volumes ranged from 7.6 to 8.8 l for the short-term samples and from 6.9 to 9.4 l for the TWA samples.
Sampling for the target analytes diacetyl, acetoin (3-hydroxy-2-butanone), 2,3-pentanedione, and 2,3-hexanedione was undertaken using two precleaned silica gel sorbent tubes (7 × 110-mm, 600 mg, Cat. No. 226-183, SKC Inc., Eighty Four, PA) connected in series, as specified in OSHA 1012 (2008) and OSHA 1016 (2010). Air was drawn through the tubes using battery powered personal sampling pumps (PCXR, SKC Inc.) connected to the sorbent tubes via an adjustable low flow tube holder (SKC, Inc.), at a nominal flow rate of either 100 ml min−1 (TWA samples) or 200 ml min−1 (short-term exposure samples). Flow rates were set and verified in the field using a calibrated rotameter (SKC Inc.). Sorbent tubes were protected from light by wrapping with aluminum foil. Immediately after collection, samples were stored on ice in the field and transferred to a refrigerator at the end of each workday.
Sorbent tube analysis method
Three α-diketones and acetoin were measured by a GC–MS/MS method, with some modifications (OSHA 1013, OSHA 1016, LeBouf and Simmons, 2017, Echt et al., 2021). Sorbent material was removed from the glass tubes then extracted in 2 ml of 5% methanol/acetone spiked with internal standards diacetyl-d6 and 2,3-pentanedione-1,1,1,4,4-d5. The GC–MS/MS system (Agilent 7890B/7000, Santa Clara, CA) used for analysis was operated in multiple reaction monitoring mode with precursor and product ion transitions appropriate for qualitative and quantitative determination (Supplementary Table S2). Samples were analyzed in two batches, each within 17 days of sample collection (OSHA 1013, OSHA 1016). Mid-range calibration verification standards were analyzed throughout each batch (>1:20 injections), with acceptable recoveries for all compounds (77–103%). Assay contamination was assessed using laboratory and field blanks (sorbent tubes through which no air was drawn). Low levels of all four analytes were detected in laboratory blanks, ranging between 0.001 ng per sample (2,3-hexanedione) to 1.75 ng per sample (diacetyl). Analyte levels in the field blank samples were not significantly different from the levels in the laboratory blanks. Therefore, sample concentrations were corrected by subtracting the average of the laboratory blanks. Minimum detection limits (MDL) ranged from 1 ng per sample (2,3-hexanedione) to 2 ng per sample (diacetyl) and determined as the greater of the lowest calibration standard (after blank subtraction) or the laboratory blank. This MDL is equivalent to an air concentration of approximately 0.02–0.06 ppbv assuming a 10-l air sample.
Real-time measurements
The Mobile Mass Spectrometer Lab (MMSL) housed in a research purposed Mercedes-Benz Sprinter van was equipped with a proton-transfer reaction time-of-flight mass spectrometer (PTR-ToF-MS, Ionicon PTR-TOF1000, IONICON Analytik, Innsbruck, Austria), an NOx analyzer (model 42i, ThermoFisher), and a fast greenhouse gas analyzer (FGGA 30r, Los Gatos) for CO2, CH4, and H2O was parked with the engine off within 3 m of an outside entryway to each sampling site and plugged in to building power. These instruments operate continuously and provide parallel time series data collected at 0.1–1 Hz. Fluorinated ethylene propylene (Cole Parmer) tubing with ¼” outer diameter (OD) was used for NOx and greenhouse gas analysis. Sample lines were typically between 10 and 30 m in length depending on the proximity to the designated sampling point. The NOx analyzer was calibrated by the vendor (CD Nova Ltd) immediately prior to deployment. The greenhouse gas analyzer was not calibrated immediately prior to deployment but reported ambient outdoor concentrations of 410–420 and 1.8–1.9 ppmv for CO2 and CH4, respectively, consistent with government agency reported values for these well-mixed gases. An Optical Particle Sizer (model 3330, TSI Inc., Shoreview, MN) was employed inside each facility to count and size particles between 0.3 and 10 µm at 1-s intervals. PM2.5 was calculated by summing particle size bins up to 2.5-µm diameter and reported in µg m−3 using vendor algorithm. Ambient outdoor conditions (relative humidity, pressure, and temperature) were recorded with an on-board weather station (Model 597, MetOne Instruments Inc., Grants Pass, OR) during sampling trips.
VOCs were continuously sampled using perfluoroalkoxy alkane tubing (¼” OD) insulated with foam pipe wrap and connected to the PTR-ToF-MS. A dedicated pump (Model DOA-P704-AA, GAST Manufacturing, Inc.) was used to pull sample air into the vehicle (~20 l min−1), which was subsampled by the PTR-ToF-MS at 0.75 l min−1 resulting in a sample transport time of approximately 7–13 s, depending on the location. PTR-ToF-MS measurements were made at 1 Hz and minimum detection limits (MDLs; ppbv) were defined as the concentration, which had an average signal three times greater than the standard deviation of a blank, after background subtraction. The MDL for diacetyl was 0.3 ppbv and for 2,3-pentanedione was 0.6 ppbv. Although some progress has been made by others to differentiate isobars/isomers with PTR-ToF-MS (Shen et al., 2012), no effort was made to do so here. As such, time-resolved VOC concentrations reported should be considered semiquantitative due to potential interference from compounds with similar or identical m/z. The mass resolution (m/z/Δm/z) ranged from 1500 to 2000 at m/z 59. Calibrations are shown in Supplementary Fig. S9, and a list of the target analytes and potential isobars/isomers is presented in Supplementary Table S3.
A direct comparison between PTR-ToF-MS and GC–MS/MS proved challenging due to differences in the sampling methods, the time scale of the measurements themselves, and difficulties in constructing a well-mixed air standard. The relative standard deviation for the replicate constructed air samples were 4.3 and 20% for the PTR-ToF-MS and GC–MS/MS analysis, respectively (Supplementary Table S4). There is good correlation between the two sets of measurements, with a R2 of 0.88 for diacetyl and a R2 of 0.84 for pentanedione for colocated samples across all facilities (Supplementary Fig. S10). In general, the PTR-ToF-MS values were higher (~30%) than the colocated sorbent tube concentrations in the field measurements. This positive bias may have resulted from the presence of VOCs with the same m/z as the target analytes.
Results
The results of a total of eight on-site sampling days at coffee and brewery locations revealed indoor air concentrations of α-diketones above the MDLs. Observations were made over three consecutive days at one each of the coffee and brewery locations to capture the full range of operational activities. Diketone levels were observed to be strongly dependent on sampling location and specific activities within the facilities.
Sorbent tube measurements
The 8-h sorbent tube measurements are summarized in Table 2, which indicates that diacetyl and 2,3-pentanedione were detected in most of the sorbent samples at concentrations between <0.04 and 8 ppbv. Acetoin was also detected at concentrations between 0.03 and 5 ppbv in most sorbent tube samples. Figure 1 is a box plot summarizing the sorbent tube results for both the TWA samples and the short-term samples, across the four facilities surveyed in this study. Overall, the TWA levels of these compounds were well below occupational exposure guidance values in these facilities, although diacetyl and 2,3-pentandione were observed to be elevated at one of the coffee roasters. Specifically, over the 3-day sampling campaign, the average concentrations near the barista bar at CR#1 were 7.1 and 7.0 ppbv for diacetyl and 2,3-pentanedione, respectively. A detailed summary of the sorbent tube results is tabulated in Supplementary Tables S5 and S6.
Table 2.
Summary sorbent tube measures of diacetyl and related compounds in breweries and coffee roasteries (concentrations in ppbv)
8-h TWA | Diacetyl | 2,3-Pentanedione | Acetoin | 2,3-Hexanedione |
---|---|---|---|---|
Coffee roasteries (# samples = 15) | ||||
Fraction > MDL | 15/15 | 15/15 | 15/15 | 0/15 |
Mediana | 0.87 | 0.63 | 0.13 | — |
Mean (SD) | 1.06 (2.69)b | 0.79 (2.72)b | 0.23 (1.64) | — |
Range | 0.19–7.88 | 0.14–8.01 | 0.04–4.62 | — |
Breweries (# samples = 12) | ||||
Fraction > MDL | 10/12 | 5/12 | 12/12 | 0/12 |
Mediana | 0.28 | 0.07 | 0.36 | — |
Mean (SD) | 0.23 (0.28)b | 0.08 (0.03)b | 0.34 (0.25) | — |
Range | <0.07–0.99 | <0.04–0.14 | 0.06–0.97 | — |
aOnly samples > MDL included in calculation of mean, median, and SD.
bMeans differ significantly (P = 0.05) for brewery versus coffee roaster (based on independent samples t-test).
Figure 1.
Comparison of (a) diacetyl, (b) 2,3-pentanedione, and (c) acetoin concentrations across the four facilities surveyed. 2,3-Hexanedione was only detected in three samples (all at facility CR#1) and hence is not included in these plots. 2,3-Pentanedione was not detected at facility BR#2. Data <LOD treated as missing. On each box, the central mark indicates the median, and the bottom and top edges of the box indicate the 25th and 75th percentiles. Observations above the 95th percentile are plotted using the ‘o’ symbol. Note that the y-axis is truncated to permit visual comparison across facilities: three diacetyl samples were above 2 ppbv and are not included here (see Supplementary Table S5 for all data).
PTR-ToF-MS measurements
Time series data collected at CR#1 shows diacetyl and 2,3-pentanedione concentrations were highly correlated (R = 0.84, Supplementary Fig. S10b), with each other over the 9-h observation period (Fig. 2). The top panel (Fig. 2a) identifies three broad activity categories as roasting, cleaning, and grinding. During roasting, numerous concentration excursions are evident which generally correspond to when the freshly roasted beans were dumped from the roaster onto cooling trays. During cleaning, the roaster, exhaust vent, and surrounding area were cleaned with brushes or brooms. During grinding, roasted beans from storage containers were ground and packaged in conventional coffee bags with valves. The air inside the facility was not well mixed, and the sampling line for continuous measurements was in the center of the facility closer to the roasting than the grinding operations (Supplementary Fig. S2). Figure 2b is an expanded view of the time series during the highest concentrations observed between 10 and 11 am, during which time operators processed five batches of espresso. Activities during this time included the use of a non-ventilated mini-roaster, roasting and cooling of coffee beans, and grinding of roasted beans.
Figure 2.
Time series of diacetyl and 2,3-pentanedione concentrations measured at CR#1 on 20 February 2018. Top panel is the time series for the whole day, and gray shading indicates data shown in the bottom panel. The green dashed line displays the NIOSH time-weighted average REL for diacetyl at 5 ppbv. Bottom panel shows a 1-h period when five batches of espresso beans were processed.
An example of PTR-ToF-MS time series for diacetyl from a brewery (BR#1) is shown in Fig. 3. Broad activity categories are identified as follows: lautering (separating wort from residual mashed grain), boiling, and transfer of wort (the liquid extracted from mashing the grain). One concentration excursion was observed during lautering when the mash tun was temporarily opened (Fig. 3,ii). The highest concentration excursions were observed during boiling when the kettle lid was opened for a significant amount of time (~1 h) to prevent overboiling (Fig. 3,iv). During transfer, the wort was cooled and pumped to large fermenting tanks. No significant concentration excursions were observed during this stage of the process.
Figure 3.
Time series of diacetyl concentration during brewing at BR #1 on 26 February 2018. The green dashed line displays the NIOSH time-weighted average REL for diacetyl at 5 ppbv.
Continuous α-diketone measurements revealed median concentrations for diacetyl and 2,3-pentanedione were typically below 2 ppbv (Supplementary Table S5) and summarized in Fig. 4. However, it is clear in the time-resolved PTR-ToF-MS data that concentration excursions up to 15–20 ppbv can occur in indoor air and that these elevated levels were strongly corelated with specific activities inside the facilities. Diacetyl and pentanedione had measured concentration excursions above the MDL at each facility on each sampling day.
Figure 4.
PTR-ToF-MS results for diacetyl, 2,3-pentanedione, 2,3-hexanedione, and acetoin concentrations at breweries and coffee roasteries. On each box, the central mark indicates the median, and the bottom and top edges of the box indicate the 25th and 75th percentiles. Observations above the 95th percentile are plotted using the ‘o’ symbol.
Three full workdays (~8 h day−1) of sampling were collected for CR#1, and one full workday of sampling was collected at CR#2. On the first day of sampling at CR#1 (CR#1a), there was no coffee roasting taking place. Both the second (CR#1b) and third (CR#1c) days of sampling had active roasting for approximately 5.5 h (typically 7:30 am–1 pm). The maximum and median concentrations for diacetyl and pentanedione measured at CR#1 were higher on the days of active roasting. The median concentration for diacetyl on roasting days at CR#1 (1.30 ppbv) was twice that of CR#1 on a non-roasting day (0.67 ppbv). Furthermore, the number of observations with diacetyl greater than 5 ppbv was substantially higher on days when roasting occurred. Very similar observations are made for pentanedione with median concentrations of 0.45 ppbv on the non-roasting day and 1.24 ppbv on days when roasting occurred. During active coffee roasting, the median concentration for acetoin at CR#1b was 0.10 ppbv. The second coffee roastery (CR#2) consisted of a single roaster in a building with a high ceiling and modern ventilation. The main activity was roasting and the median diacetyl and pentanedione concentrations were 0.58 ppbv and 0.81 ppbv, respectively.
Three full workdays (~8 h day−1) of sampling were collected for BR#1, and one full workday of sampling was collected at BR#2. The brewing activity at BR#1 was similar on day 1 (BR#1a) and day 3 (BR#1c), with median concentrations for diacetyl of 0.98 and 0.69 ppbv, respectively. On day 2 (BR#1b), the main activity was canning with minimal brewing activity. The median diacetyl concentration was at or below our detection limit of 0.3 ppbv on that day. The second brewery (BR#2) was a larger facility (see Supplementary Table S1 and Supplementary Fig. S5), which did not require opening of the kettles to prevent over-boil as in BR#1. The median diacetyl and pentanedione concentrations were at or below our detection limits at this facility. Hexanediones were generally observed to be below 2 ppbv, except at the BR#2, where several observations between 2 and 4 ppbv were made. Heptanediones were not generally observed in indoor air across this sampling campaign. The maximum and median acetoin concentrations were higher at breweries than coffee roasting facilities, as shown in Figure 4.
Additional indoor air quality measurements
Continuous measurements of NO, NO2, CH4, CO2, and PM2.5 were made at all locations over the 8-day sampling period. Summary boxplots are presented in Fig. 5 and representative time series are presented in Supplementary S11, S14, S15, S17, and S18. Elevated concentrations NO, NO2, and CH4 were observed during roasting at CR#1 (CR#1b and CR#1c) but remain well-below occupational exposure limits. Elevated PM2.5 was observed at CR#1 during roasting, consistent with visually observable smoke released when roasted beans were dumped onto the cooling tray. At CR#1, the 8-h TWA PM2.5 concentrations, measured on two separate roasting days, were 30 and 31 µg m−3. An example time series showing coincident periodic concentration fluctuations for PM2.5 and diacetyl is shown in Supplementary Fig. S11. At the brewery BR#1, elevated CO2 concentrations (median = 432 ppmv, max = 4614 ppmv) were observed during the day when canning was the main activity (BR#1b). At the brewery BR#2, elevated CO2 concentrations were also observed (median = 448 ppmv, max = 6866 ppmv) but could not be attributed to a specific activity. While individual observations occurred above 5000 ppmv, none of the CO2 measurements exceeded TWA or STEL exposure limits.
Figure 5.
Comparison of NO, NO2, CH4, CO2, and PM2.5 concentrations between breweries and coffee roasteries. On each box, the central mark indicates the median and the bottom and top edges of the box indicate the 25th and 75th percentiles. Observations above the 95th percentile are plotted using the ‘o’ symbol. Concentration excursions that extend beyond the y-axis limits for PM2.5 are indicated with an asterisk and the maximum concentration is reported.
FENO measurements
We measured pre-shift and post-shift FENO in the workers from the breweries and coffee roasteries. These results are summarized in Table 3 and Fig. 6. Pre-shift FENO levels ranged between 8 and 38 ppbv, while post-shift levels ranged between 7 and 51 ppbv. We used linear mixed models to compare pre-shift FENO, post-shift FENO and cross-shift change in FENO between breweries and coffee roasteries, controlling for individual facilities as a random effect. The pre-shift mean FENO was 3.7 ppbv higher (95% confidence interval: −3.6, 11.0) and the post-shift FENO was 7.1 ppbv higher (−1.9, 16.1) for workers at coffee roasteries compared with breweries. The cross-shift change in FENO was 3.4 ppbv higher (−2.8, 9.6) for workers at coffee roasteries compared with breweries. Based on the likelihood ratio test, none of these differences were statistically significant, and the cross-shift change in FENO was not statistically different from zero for either group of workers.
Table 3.
Summary measures of FENO in breweries and coffee roasteries (concentrations in ppbv)
Pre-shift | Post-shift | Cross-shift change | |
---|---|---|---|
Breweries (# subjects = 12, # sample pairs = 16) | |||
Median | 23 | 12 | 7.7 |
Mean (SD) | 22 (11) | 22 (12) | 0.1 (7.7) |
Range | 8 to 38 | 7 to 43 | −21 to 10 |
Coffee roasteries (# subjects = 7, # sample pairs = 10) | |||
Median | 24 | 28 | 9.0 |
Mean (SD) | 26 (8.0) | 29 (12) | 3.5 (9.0) |
Range | 17 to 37 | 12 to 51 | −10 to 19 |
SD, standard deviation.
Figure 6.
Comparison of pre-shift FENO, post-shift FENO and cross-shift change in FENO between breweries and coffee roasteries. On each box, the central mark indicates the median, and the bottom and top edges of the box indicate the 25th and 75th percentiles.
Discussion
Acetoin, diacetyl, and 2,3-pentanedione were measured at concentrations ranging from <0.04 to 8 ppbv using time-integrated sorbent sampling techniques. Concentrations varied depending on sampling locations within the facility and type of activities taking place. In general, diacetyl and 2,3-pentadione were higher in coffee roasteries compared with breweries. Acetoin was generally higher in breweries. Three samples, all from the barista area at one coffee roastery, exceeded the NIOSH recommended exposure limit (REL) of 5 ppbv for diacetyl. 2,3-Pentanedione concentrations in these three samples were greater than 50% of its REL but did not exceed it.
The time-resolved PTR-ToF-MS measurements followed a similar trend to the sorbent tube data and revealed peak concentrations of diacetyl and 2,3-pentanedione between 15 and 20 ppbv. Examination of the time series data identified specific activities that were associated with peak diketone and acetoin emissions, including transfer of freshly roasted coffee beans to the cooling tray, or opening of a brew kettle at a craft brewery. In general, diacetyl concentrations were the highest of the four diketones measured here, with concentrations decreasing for the higher homologs. The background indoor concentration was less than 2 ppbv for diacetyl and less than 1 ppbv for all other diketones monitored at both coffee and craft brewing sites during periods with little or no roasting or brewing activities. For example, Supplementary Fig. S16 shows diketone concentrations below 1 ppbv over the course of a non-roasting workday except for a short transient excursion during the brief transfer of several kilograms of roasted coffee beans. This observation is supported by the low concentrations of diketones reported for integrated sorbent tube samplers. Similar observations were made on Day 2 at BR#1 where ambient background diketone levels of less than 1 ppbv (Fig. 4) were observed. However, during active roasting and brewing days, we observe significant concentration excursions ranging from 5 to 20 ppbv for diacetyl and 3 to 12 ppbv for 2,3-pentanedione. The ratio of diacetyl to 2,3-pentandione is roughly 1.6–1.7 in the coffee roasting facility. Very little increase in the concentration of the hexane and heptane diones was observed. In one of the breweries, concentrations of diacetyl were observed to increase to 6–20 ppbv associated with opening a kettle lid when boiling wort (Fig. 3). Similar concentration time series were observed for 2,3-pentanedione, 2,3-hexanedione, and acetoin, although at considerably lower concentrations. The ratio of diacetyl to 2,3-pentandione is roughly 7–8 in the brewing facility.
The highest diacetyl concentrations were measured at CR#1 and BR#1, with the highest measured concentration below the 15-min REL of 25 ppbv. At CR#1, concentrations up to 21 ppbv of diacetyl, 14 ppbv of 2,3-pentanedione, and 1.2 ppbv of 2,3-hexanedione were measured. These excursions were short duration (<5 min) with concentrations approaching background levels after each batch was released from the cooling tray (Fig. 2 and Supplementary Fig. S11). Concentration excursions were also measured at the brewery BR#1 on the first and third day of sampling when the brew master opened the mash kettle for process monitoring and to prevent overboiling (Fig. 3). The highest acetoin concentrations were recorded at BR#2 (Fig. 4), but were not associated with any specific activity, presumably because of the numerous concurrent processes occurring throughout the day.
On-site survey measurements in which the sampling inlet for the PTR-ToF-MS was moved to different locations revealed elevated diketone concentrations associated with roasted bean storage and grinding activities. For example, the time series data in Supplementary Fig. S12 illustrates diketone concentrations exceeding 2500 ppbv (primarily 2,3-butanedione and 2,3-pentandione) in the headspace of bulk storage bins of roasted coffee beans. A similar reconnaissance survey of potential point sources at a craft brewing facility did not reveal notable ‘hot spots’ for the target analytes.
The diacetyl concentrations we measured at the coffee roasteries are similar to those of Echt et al. (2021) who observed some 8-h TWA exposures above the NIOSH REL of 5 ppbv for workers involved in coffee bean roasting and grinding at a small-scale craft coffee facility. Pierce et al. (2015) reported personal diacetyl exposures in the range 13–16 ppbv for a barista grinding and brewing coffee in a residential kitchen—a study designed to simulate potential exposures experienced by baristas and customers in a small commercial coffee shop. In contrast, higher diacetyl and 2,3-pentanedione concentrations (8–100 ppbv) were reported by Bailey et al. (2015) and Duling et al. (2016) from a larger commercial coffee processing facility. A summary of diacetyl measurements made in coffee production facilities has recently been published (LeBouf et al., 2020).
There are limited data in the literature describing exposures to diacetyl and 2,3-pentanedione in association with brewing of beer. In the only report we found, Eversmeyer (2016) reported diacetyl levels < 0.003 ppbv (TWA) and < 0.006 ppbv (STEL) for two breweries. Our measurements are somewhat higher than those of Eversmeyer but still well below exposure guidelines and suggest that exposures to diacetyl and related compounds in breweries do not exceed health protective levels; however, short-term RELs may be exceeded in association with specific processes (e.g., opening the kettle when wort is boiled; see Fig. 3).
Continuous on-site monitoring
Auxiliary air quality parameters (NO, NO2, CO2, CH4, and PM2.5) were measured continuously over 8 days of an 8-h work shift to capture various activities at coffee roasting and craft brewing operations. Background levels were recorded before the start of the workday and found to be similar to ambient outdoor concentrations. Fine particulate matter (PM2.5) was observed to be below 50 µg m−3 on non-roasting and brewing days. However, short-term excursions > 300 µg m−3 were observed when roasted coffee beans were transferred to the cooling trays at one of the roasting facilities. These excursions are highly episodic and observed to be strongly correlated with diketone concentration excursions (Supplementary Fig. S11). PM2.5 was generally <75 µg m−3 at brewery facilities but was observed in the range of 100–400 µg m−3 for periods of several hours associated with the transfer of grains and other materials. Elevated levels of nitrogen oxides (NO and NO2) were observed during roasting when natural gas furnaces were operational, either for heating coffee roasters or the mash tun in brewing. For example, NO concentrations ranging from 50 to 120 ppbv and NO2 levels ranging from 50 to 80 ppbv were observed during roasting and dropped sharply to levels below 15 ppbv once the roasting furnaces were turned off (Supplementary Fig. S14). Levels of NO and NO2 at breweries were generally less than 40 ppbv with some short excursions greater than 40 ppbv (Supplementary Fig. S15). Measured concentrations of PM2.5, NO2, and NO were all well below OSHA permissible exposure limits. However, the 8-h TWA PM2.5 concentrations measured on roasting days at the coffee facility CR#1 (up to ~30 µg m−3) do exceed the WHO 24-h PM2.5 guideline of 15 µg m−3. Elevated levels of carbon dioxide (CO2) and methane (CH4) were observed during coffee roasting reaching levels of 700 ppmv and 40 ppmv, respectively. The concentration of both gases dropped to ambient levels once roasting furnaces were shut off (Supplementary Fig. S17). Concentrations of CO2 at one brewery were between 500 and 1800 ppmv and between 2 and 6 ppmv for CH4. Concentration spikes were largely associated with opening fermentation tanks and bottling activities. Carbon dioxide levels were generally higher at the larger brewery reaching levels of 5000 ppmv (which is the 8-h TWA NIOSH REL) late in the afternoon (Supplementary Fig. S18). Given these observations and the emergence of low-cost gas sensors (especially for CO2 and PM2.5), we recommend that facility operators consider their use to inform ventilation requirements and protect worker safety.
Additional field studies are required to strengthen the findings of this study, which was limited to a small number of facilities (2 roasteries and 2 breweries) that were also relatively small operations. Measurements were only made during one pilot study period, which does not account for potential seasonal variability. Furthermore, the highest diacetyl concentration recorded was at the barista station at CR#1, where only one sample was collected (n = 1). The relationship between PM2.5 and diacetyl in coffee roasting facilities requires further confirmation at additional sites.
Comparison of measured FENO levels to ATS guidelines
None of our study participants had elevated FENO, defined by ATS as FENO > 50 ppbv (Dweik et al., 2011), and we did not observe any association between FENO levels and occupational exposure. In contrast, a recent study from Harvey et al. (2020) reported that 10% of coffee production workers had elevated FENO levels. Average diacetyl exposures measured in Harvey’s study were much greater than concentrations of diacetyl measured in our study. A cross-sectional study of workers in a Tanzanian coffee factory that processed and packed green coffee beans also found that workers had higher FENO levels than unexposed controls (Moen et al., 2012). A subsequent study reported coffee production workers had higher prevalence of chronic respiratory and asthma symptoms than workers in two control factories that produced beverages and fish products; FENO levels were marginally higher in coffee workers compared with controls (Sakwari et al., 2013).
Conclusion
In this pilot study in relatively small-scale coffee roasteries and breweries, we found that diacetyl and 2,3-pentanedione concentrations were generally below the NIOSH RELs. The only exception to this was the 8-h average concentrations measured near the barista bar where average air concentrations of 7.1 and 7.0 ppbv for diacetyl and 2,3-pentanedione, respectively, were observed over the 3-day sampling campaign. Similarly, FENO levels were not elevated with respect to ATS guidelines, and no association between occupational exposures and changes in FENO was observed.
The continuous monitoring capability of the PTR-ToF-MS highlighted the episodic nature of diketone exposures in these facilities and aided in identifying specific tasks associated with these excursions. Elevated concentrations of diketones had strong association with roasting and grinding within coffee facilities. In brewing operations, the potential for exposure to diketones appears to be coincident with opening kettles during boiling of wort. This information can be used to inform when and where better ventilation and/or personal protective equipment might be warranted. Possible short-term exposure to high concentrations of diketones can also occur when employees enter confined coffee storage rooms and when opening storage bins of roasted coffee beans.
This report adds to the growing body of literature reporting diketone concentrations that approach or exceed RELs in coffee production facilities. We demonstrate the first use of on-site PTR-ToF-MS at coffee and brewing facilities to directly measure air concentrations of several diketone compounds of concern over a multi-day sampling campaign. The continuous VOC monitoring capabilities of PTR-ToF-MS are especially informative when surveying sites and relating short-term concentration excursions to specific activities. While fine particulate matter may also be an occupational health concern in its own right, its association with diacetyl concentrations in coffee roasting facilities suggests that it may be a suitable proxy for diketone exposure in this setting. The indoor installation of low-cost sensors for CO2 and PM2.5 could be used to monitor ventilation and provide useful operational information.
Supplementary Material
Acknowledgements
We thank the management of the two craft coffee roasteries and breweries for providing access to their worksites, and their staff for participating in this study.
Contributor Information
Nicholas G Davey, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada.
Larissa C Richards, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada; Department of Chemistry, University of Victoria, Stn CSC, Victoria, BC, Canada.
Jonathan Davidson, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada; Department of Chemistry, University of Victoria, Stn CSC, Victoria, BC, Canada.
Trevor Michalchuk, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada.
Christopher G Gill, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada; Department of Chemistry, University of Victoria, Stn CSC, Victoria, BC, Canada; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; Department of Chemistry, Simon Fraser University, Burnaby, BC, Canada.
Erik T Krogh, Applied Environmental Research Laboratories, Department of Chemistry, Vancouver Island University, Nanaimo, BC, Canada; Department of Chemistry, University of Victoria, Stn CSC, Victoria, BC, Canada.
Christopher D Simpson, Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
Funding
Funding and support for this project have been provided by the National Institute of Environmental Health Sciences (grant number P30ES007033). The content is solely the responsibility of the authors and does not necessarily represent the views of National Institutes of Health. The authors also gratefully acknowledge Vancouver Island University and the University of Victoria for ongoing support of the Applied Environmental Research Laboratories and Graduate Student Researchers. Support for LR and JD was also provided through the Natural Sciences and Engineering Research Council of Canada (NSERC Discovery Grant 2016-06454). The mobile mass spectrometry lab was made possible with funding from the Canada Foundation for Innovation (CFI32238) and the British Columbia Knowledge Development Fund.
Conflict of interest
The authors declare no conflict of interest relating to the material presented in this article. Its contents, including any opinions and/or conclusions expressed, are solely those of the authors.
Data availability
The data underlying this article will be shared on reasonable request to the corresponding author.
References
- Akpinar-Elci M, Travis WD, Lynch DA.et al. (2004) Bronchiolitis obliterans syndrome in popcorn production plant workers. Eur Respir J; 24: 298–302. [DOI] [PubMed] [Google Scholar]
- Bailey RL, Cox-Ganser JM, Duling MG, et al. (2015) Respiratory morbidity in a coffee processing workplace with sentinel obliterative bronchiolitis cases. Am J Ind Med; 58: 1235–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davey NG, Bell RJ, Gill CG, et al. (2020) Mapping the geospatial distribution of atmospheric BTEX compounds using portable mass spectrometry and adaptive whole air sampling. Atmos Pollut Res; 11: 545–53. [Google Scholar]
- Duling MG, Lebouf RF, Cox-Ganser JM, et al. (2016) Environmental characterization of a coffee processing workplace with obliterative bronchiolitis in former workers. J Occup Environ Hyg; 13: 770–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dweik RA, Boggs PB, Erzurum SC, et al. (2011) An official ATS clinical practice guideline: interpretation of Exhaled Nitric Oxide Levels (FENO) for clinical applications. Am J Respir Crit Care Med; 184: 602–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eversmeyer S. (2016) Employee exposures during coffee and beer making. Portland, OR: Presentation at Northwest Occupational Health Conference. [Google Scholar]
- Echt H, Dittmore M, Coker M, et al. (2021) Characterization of naturally occurring alpha-diketone emissions and exposures at a coffee roasting facility and associated retail café. Ann Work Expo Health; 65: 715–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frank D, O’riordan P, Zabaras D.et al. (2006) Cheddar cheese volatile profiling using dynamic headspace and gas chromatography-mass spectrometry olfactometry. Aust J Dairy Technol; 61: 105–7. [Google Scholar]
- Giri A, Osako K, Ohshima T. (2010) Identification and characterisation of headspace volatiles of fish miso, a Japanese fish meat based fermented paste, with special emphasis on effect of fish species and meat washing. Food Chem; 120: 621–31. [Google Scholar]
- Harvey RR, Blackley BH, Korbach EJ, et al. (2021) Case report: flavoring-related lung disease in a coffee roasting and packaging facility worker with unique lung histopathology compared with previously described cases of obliterative bronchiolitis. Front Public Health; 9: 657987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harvey RR, Fechter-Leggett ED, Bailey RL, et al. (2020) The burden of respiratory abnormalities among workers at coffee roasting and packaging facilities. Front Public Health; 8: 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kanwal R, Kullman G, Piacitelli C, et al. (2006) Evaluation of flavorings-related lung disease risk at six microwave popcorn plants. J Occup Environ Med; 48: 149–57. [DOI] [PubMed] [Google Scholar]
- Kreiss K, Gomaa A, Kullman G, et al. (2002) Clinical bronchiolitis obliterans in workers at a microwave-popcorn plant. N Engl J Med; 347: 330–38. [DOI] [PubMed] [Google Scholar]
- Lebouf RF, Blackley BH, Fortner AR, et al. (2020) Exposures and emissions in coffee roasting facilities and cafes: diacetyl, 2,3-pentanedione, and other volatile organic compounds. Front Public Health; 8: 561740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lebouf R, Simmons M. (2017) Increased sensitivity of OSHA method analysis of diacetyl and 2,3-pentanedione in air. J Occup Environ Hyg; 14: 343–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mccoy MJ, Parr KAH, Anderson KE, et al. (2017) Diacetyl and 2,3-pentanedione in breathing zone and area air during large-scale commercial coffee roasting, blending and grinding processes. Toxicol Rep; 4: 113–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moen BE, Sakwari G, Mamuya SHD, et al. (2012) Respiratory inflammation among workers exposed to airborne dust with endotoxins in a coffee curing factory. J Occup Environ Med; 54: 847–50. [DOI] [PubMed] [Google Scholar]
- NIOSH. (2016) Criteria for a recommended standard: occupational exposure to diacetyl and 2,3-pentanedione. In McKernan LT, Niemeier RT, Kreiss K, et al. , editors. Cincinnati, OH: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication No. 2016-111. [Google Scholar]
- OSHA 1012. (2008) Method number 1012, acetoin, diacetyl. Available at https://www.osha.gov/chemicaldata/sampling-analytical-methods.
- OSHA 1013. (2008) Method Number 1013, acetoin, diacetyl. Available at https://www.osha.gov/chemicaldata/sampling-analytical-methods.
- OSHA 1016. (2010) Method number 1016, 2,3-pentanedione. Available at https://www.osha.gov/chemicaldata/sampling-analytical-methods.
- Ott A, Germond JE, Baumgartner M, et al. (1999) Aroma comparisons of traditional and mild yogurts: headspace gas chromatography quantification of volatiles and origin of alpha-diketones. J Agric Food Chem; 47: 2379–85. [DOI] [PubMed] [Google Scholar]
- Parmet AJ, Von Essen S. (2002) Rapidly progressive, fixed airway obstructive disease in popcorn workers: a new occupational pulmonary illness? J Occup Environ Med; 44: 216–8. [DOI] [PubMed] [Google Scholar]
- Pierce JS, Abelmann A, Lotter JT, et al. (2015) Characterization of naturally occurring airborne diacetyl concentrations associated with the preparation and consumption of unflavored coffee. Toxicol Rep; 2: 1200–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sakwari G, Mamuya SHD, Bratveit M, et al. (2013) Respiratory symptoms, exhaled nitric oxide, and lung function among workers in Tanzanian coffee factories. J Occup Environ Med; 55: 544–51. [DOI] [PubMed] [Google Scholar]
- Shen CY, Li JQ, Wang YJ, et al. (2012) Discrimination of isomers and isobars by varying the reduced-field across drift tube in proton-transfer-reaction mass spectrometry (PTR-MS). Int J Environ Anal Chem; 92: 289–301. [Google Scholar]
- Warneke C, Veres P, Holloway JS, et al. (2011) Airborne formaldehyde measurements using PTR-MS: calibration, humidity dependence, inter-comparison and initial results. Atmos Meas Tech; 4: 2345–58. [Google Scholar]
- Yuan B, Koss AR, Warneke C, et al. (2017) Proton-transfer-reaction mass spectrometry: applications in atmospheric sciences. Chem Rev; 117: 13187–229. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data underlying this article will be shared on reasonable request to the corresponding author.