Literature DB >> 31198830

Characteristics of respirable dust in eight appalachian coal mines: A dataset including particle size and mineralogy distributions, and metal and trace element mass concentrations.

Emily Sarver1, Cigdem Keles1, Mohammad Rezaee2.   

Abstract

Respirable dust samples were collected in several key locations of eight underground coal mines in central and northern Appalachia. In total, there were 76 unique sampling events (i.e., specific location in a specific mine). Here, we present data from each event describing particle size and mineralogy class distributions across the ∼100-10,000nm size range, which were determined using SEM-EDX; and estimated mass concentrations of potentially bioaccessible and total acid-soluble metals and trace elements, which were determined using sequential digestions with digestate analysis by ICP-MS. Discussion of this dataset is included in a companion research article "Beyond conventional metrics: Comprehensive characterization of respirable coal mine dust" Sarver et al., 2019.

Entities:  

Keywords:  Black lung; Coal mining; Mining engineering; Occupational health; Respirable dust

Year:  2019        PMID: 31198830      PMCID: PMC6557733          DOI: 10.1016/j.dib.2019.104032

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table This dataset represents a comprehensive characterization of respirable coal mine dust. The data may inform a ranged of stakeholders interested in respirable dust, including those in industry such as mine operators and miners; those in the health sciences including epidemiologists, toxicologists and pathologists; and those in engineering and technology development for dust controls and protections. The additional value of the data is that the specific dust characteristics included here have not been widely reported elsewhere in the literature.

Data

This dataset includes 76 respirable coal mine dust samples, which were collected in five general locations of eight underground coal mines in Appalachia. Each sample represents a unique sampling event (i.e., specific sampling location in a specific mine). Table 1 presents a summary of the particle size and mineralogy distribution results for each sample. For this summary, particles were binned into two primary size bins using their projected area diameter: very fine (i.e., <400nm) and larger particles (i.e., 400–10,000nm). Particles were binned into six mineralogy classes (i.e., carbonaceous, alumino-silicates, silica, carbonates and heavy minerals, or “other”). Fig. 1 presents more detailed size distribution data by mine and sampling location.
Table 1

Summary of particle characteristics for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Mineralogy classes are C = carbonaceous, AS = alumino-silicates, S = silica, CB = carbonates, HM = heavy minerals, O = other.

Sample
% of particles in size and mineralogy class
C
AS
S
CB
HM
O
Total
No.Reg.MineLoc.Very fineLargerVery fineLargerVery fineLargerVery fineLargerVery fineLargerVery fineLargerVery fineLarger
1MCA1F7418222285811756040
2MCA1B015536230000205941
3MCA1I1915910242660716238
4MCA1R214545221010105248
5MCA1B3816107151231976139
6MCA1P18145301282102808614
7MCA1B213951240000104456
8MCA2I36310154461120717525
9MCA2R00252623260000004852
10MCA2B00213619240000004060
11MCA2P31410159800001936931
12MCA2F4941515140021917624
13MCA2B002966230000003169
14MCA3I3121011121410601127228
15MCA3R723445450031004753
16MCA3B2342124237831325842
17MCA3P214544230010015149
18MCA3F4491717130111436733
19MCA4I2123725252410106337
20MCA4R2715610221790837327
21MCA4B6234262190020106337
22MCA4F39116512021121397030
23NA5R552854121210103664
24NA5I4043171841411525446
25NA5I17154251272321313466
26NA5F19351222232710425446
27NA5P10102937013411314555
28NA5R382644114710413862
29NA5B81492713122211113169
30NA5F59813001628201174159
31NA5F71041402173710323367
32NA5R10112301263300224159
33NA6I212171500211461216634
34NA6R401300434600124951
35NA6F17226231112651426535
36NA6I1714301343810105644
37NA6R101400197200102377
38NA6P3440810002411114555
39NA6I2162310204410214654
40NA6R3255911202321006139
41NA6F63464213831218020
42NA6B670451014241119010
43NA6I74111107620619010
44NA6R8212001613012946
45NA6I38105001251012618614
46NA6I2892115015521946535
47NA6F37210105150021928
48SCA7R1653921436121206931
49SCA7I562760204002228515
50SCA7R584432224210005644
51SCA7I66222118250101937
52SCA7F413153012101910223466
53SCA7P121120241115410915842
54SCA7P783624633330716139
55SCA7F2112945540110113862
56SCA7B2933274371211114852
57SCA7R143736891210004852
58SCA7P374029326900105446
59SCA7B473742430100104753
60SCA7F153945231300004357
61SCA7P254140241300004753
62SCA8R00173400212600113961
63SCA8P12334251870000006436
64SCA8I2951431254720105248
65SCA8F5102151233400103268
66SCA8I5921310114030538416
67SCA8F3681821225220316733
68SCA8R23171140251100003862
69SCA8R21272129180000005941
70SCA8I1952139351300314753
71SCA8R7437311253100005941
72SCA8F37322517131100105347
73SCA8P1232495100000013862
74SCA8P00114915230000002773
75SCA8B0335391391000104951
76SCA8B13352425100000016238
Fig. 1

Cumulative particle size distributions for a) the entire analyzed size range and b) for >400nm particles. Data are shown for each mineralogy class and presented by mine (left) and sampling location (right). Since the number of samples from each location varied by mine, results were averaged for each location in each mine (i.e., n = 39). To generate these plots, 100-nm wide bin sizes were considered. Reproduced from the companion research article [1].

Summary of particle characteristics for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Mineralogy classes are C = carbonaceous, AS = alumino-silicates, S = silica, CB = carbonates, HM = heavy minerals, O = other. Cumulative particle size distributions for a) the entire analyzed size range and b) for >400nm particles. Data are shown for each mineralogy class and presented by mine (left) and sampling location (right). Since the number of samples from each location varied by mine, results were averaged for each location in each mine (i.e., n = 39). To generate these plots, 100-nm wide bin sizes were considered. Reproduced from the companion research article [1]. Table 2a, Table 2b, Table 2ca–c present a summary of the estimated concentrations for potentially bioaccessible or total acid-soluble elements. Elements included in this analysis were Mg, Al, Si, K, V, Cr, Fe, Mn, Co, Ni, Cu, Zn, As, Se, Sr, Ag, Cd, Sn, Ba, Pb, and U.
Table 2a

Summary of potentially bioaccessible and total acid-soluble Mg, Al, Si, K, V, Cr, Fe estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation.

Sample
potentially bioaccessible (SLF) and total acid-soluble (total) mass concentration (μg/g)
Mg
Al
Si
K
V
Cr
Fe
No.Reg.MineLoc.MassSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotal
1MCA1F1716961211074107115311135611356725072500055174197632049
2MCA1B301434027514930254701153682139911358113580001911143107093
3MCA1I248598485981576157600146251462500012291320106817
4MCA1R436622158624001340264469144026066060000262158879
5MCA1B5699369933204320401246800000240000
6MCA1P261133826561347744380000000027010665
7MCA1B2303883702031206102706102423594423594184038184038000262644301544301
8MCA2I
9MCA2R2522991753155352776813503149703018301800072492841699
10MCA2B4622779905628043328685131002111384490006041954437
11MCA2P277548100038244611689415527555275115125115125004941164822020347267
12MCA2F26987369873279867034135253525143625143625000445442220219842
13MCA2B68725601265238973583381291558046391420400897370984081
14MCA3I24084840848524425724002261252261250295660254099622
15MCA3R9445169559750875282926846178461710863910863900028126960427626
16MCA3B2459234592310686722910094375943750006216970213217
17MCA3P1017136181966618530071558715769876587650006264368599
18MCA3F539419394198554182979010901010885010885000001011887717
19MCA4I43836167919969366808317621688641711871711870005141059899846
20MCA4R2104731047300002588752588750000314530892
21MCA4B241145618393139115812831544417906882368823000938412122828
22MCA4F2350415041101010105895897051170511000010633497
23NA5R1012605400345922388676567656292229220002630715184
24NA5I24053311493171243427794981381278812788000000
25NA5I101224216621321013066000000023500
26NA5F205941109681688929004421300413004000000
27NA5P6239654857435614159481848181187118700022909699
28NA5R1123169510638701436573389241178317830066011151
29NA5B6240613970796326449738043804264742647400025670171900
30NA5F
31NA5F1751230201886630501523218200000004296
32NA5R2325883825883354371854371500000786685172171172171000527614405514405
33NA6I393049577535463909219719748974897000304036112
34NA6R243017723633451120021200000401405
35NA6F32636436809293111513274372443724169981699800000270708
36NA6I227146291896066115902358623586000000057562
37NA6R21221783403559105579884245234523001606160670138463
38NA6P5915151788143631578838210000002367281
39NA6I365162663761518040042644264000140014941
40NA6R1022782396366415642890396734883488000116408269
41NA6F1658987203114649243023022959295901351016408181
42NA6B112829101364149545144391443900000040613306
43NA6I29973225309890027192719000004652
44NA6R53073368215281528000000058000
45NA6I2210332103313352133520000000173800
46NA6I3488224882210768164530000000000
47NA6F162020202044944969181612700000000
48SCA7R17795416412801542342187658201899000064349257135678
49SCA7I21693323372083440263100000075109200
50SCA7R26113353137914988101947338394555619955199550003462760126948
51SCA7I2440334403309344030435000231104476026325
52SCA7F2317544257241234541984195791957969286928000464170748953
53SCA7P102637035209564030816917741466104751047500050426553127
54SCA7P2464751707562404175170329194259425940119705816949413
55SCA7F1202371726240762474580131086215948159480002253137040
56SCA7B90537511701492122724732473243722372200010678222322
57SCA7R6669351936110175581421707117071688668860001028258129010
58SCA7P39507379023307136165863586319611961000023411603
59SCA7B47588024153108107907220482204821003210032002424348897416
60SCA7F7233671298955854663880868086687568750003784667126
61SCA7P8324436757329324155879187914385438500012220630744
62SCA8R104818497732309569174278922882880006987071
63SCA8P225731115848725499305805801177911779000168111446204
64SCA8I121419817158346213692007617610000021769
65SCA8F464625109511325558766247452939310068100680000115975028
66SCA8I36654394630626634434066104123791237900007001102329
67SCA8F32215935997766397670025046250460000067327
68SCA8R2612945253731635491207281472814721205212050000448960187
69SCA8R143259057553557275801117813626773773000633222333
70SCA8I21437543751952180563563425442540553001013036
71SCA8R1912309158155818232881243812438541354130109900286639322
72SCA8F53613610232761125286114181141876707670000219584034568
73SCA8P18926289865394438482108681276331883188000039050078
74SCA8P162613042996345812929629375331348397200918415816346
75SCA8B825055102306336407361144111441687268720004526129738
76SCA8B112159839703467247428628110112328232800002049176
Table 2b

Summary of potentially bioaccessible and total acid-soluble Mn, Co, Ni, Cu, Zn, As, Se estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation.

Sample
potentially bioaccessible (SLF) and total acid-soluble (total) mass concentration (μg/g)
Mn
Co
Ni
Cu
Zn
As
Se
No.Reg.MineLoc.MassSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotal
1MCA1F17848433172172719719254525450000
2MCA1B3024321581010234136627777604820520000
3MCA1I20000704506500000000
4MCA1R43396127411264500000000
5MCA1B500181867010546161236723670000
6MCA1P213641364111172872800000000
7MCA1B299045407410410446046012261226000000
8MCA2I
9MCA2R252313953518274500000000
10MCA2B46233913164240240003890700
11MCA2P213981398676723092309970970000000
12MCA2F2190119011141141109110900641164110000
13MCA2B687352191433247108201310000
14MCA3I200001084132000186118610470400
15MCA3R93420864689893423429079072692690000
16MCA3B2111311134453953900000000
17MCA3P1013321291743710500000000
18MCA3F534034000277277745745489448940000
19MCA4I468868837376721221138138181818180000
20MCA4R20000694694318318000000
21MCA4B2481829472626649412112100033900
22MCA4F231717888686741741114711470000
23NA5R10112712782493300000000
24NA5I2776776994454454963496310291102910000
25NA5I1018018000885623434000000
26NA5F2084840010704200000000
27NA5P62434377775252001100
28NA5R1124343447700000000
29NA5B67527522121149612220220000000
30NA5F
31NA5F1751616004400000000
32NA5R2174420709107118743256331889188905000000000
33NA6I392732734452196089601345450000
34NA6R24300530401000000200
35NA6F325372537333328512090001012500700
36NA6I20054546511285000169124081000
37NA6R21217717711117307300089890000
38NA6P59474777191090001025380000
39NA6I3600773221600000000
40NA6R102181822171726262582580000
41NA6F16101101252511511554540300409015100
42NA6B11171171008511000984188060000
43NA6I29000095535000926390000
44NA6R5000049490000021600
45NA6I2000015015000000000
46NA6I3398398330000000000
47NA6F1600002310000361136110000
48SCA7R17236236557878108108000000
49SCA7I2003737405300000000
50SCA7R2673424691616271423268810620780000
51SCA7I200776259503029302905000000000
52SCA7F2319819800717254540457190000
53SCA7P10494494151544844800000000
54SCA7P242412411010606000000000
55SCA7F120155606213193333332502500000
56SCA7B90552986610190019644880000
57SCA7R665952021843181800030760000
58SCA7P39616155255600000000
59SCA7B472341492759182300000000
60SCA7F722301201530162500012190000
61SCA7P8317653132193000033700000
62SCA8R10481377032110009400000
63SCA8P2227627644595934340307840000
64SCA8I12122122009643900225922590000
65SCA8F46141666028226711000000
66SCA8I3453453494935235210401040000000
67SCA8F3440440002902900056205620098200
68SCA8R2619419466405774741063177280000
69SCA8R1431624584153300087550000
70SCA8I2100112626139139000000
71SCA8R19247247121217672262260158570000
72SCA8F531761767712124040000100
73SCA8P18914186901752500000000
74SCA8P162610828831031300000000
75SCA8B821074931205872121060910000
76SCA8B1123636336611000000
Table 2c

Summary of potentially bioaccessible and total acid-soluble Sr, Ag, Cd, Sn, Ba, Pb, U estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation.

Sample
potentially bioaccessible (SLF) and total acid-soluble (total) mass concentration (μg/g)
Sr
Ag
Cd
Sn
Ba
Pb
U
No.Reg.MineLoc.MassSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotalSLFTotal
1MCA1F17000411000038380000
2MCA1B30000159000090900000
3MCA1I2003329990000651965190000
4MCA1R4300010200003743740000
5MCA1B500000000324032400000
6MCA1P20003870000447544750000
7MCA1B200016120000352535250000
8MCA2I
9MCA2R252000105000092920000
10MCA2B4620002330000121207603
11MCA2P200000000246924690000
12MCA2F20002910000000000
13MCA2B68700029000019419407502
14MCA3I200012660000000000
15MCA3R90008840000000000
16MCA3B20002040000000000
17MCA3P101000111000022220000
18MCA3F5000110000000000
19MCA4I400000000000576900
20MCA4R200000000000000
21MCA4B240002720000000000
22MCA4F23000110000000000
23NA5R101000250000000000
24NA5I200011740000427542750000
25NA5I100001800000000000
26NA5F200007600001431430000
27NA5P620001340000000000
28NA5R112000660000000000
29NA5B600000000000000
30NA5F
31NA5F1750020470000000000
32NA5R24196241962000000000000
33NA6I39000600000000000
34NA6R2430027632900000001800
35NA6F300067160000000000
36NA6I200000000000000
37NA6R21200527000000131300
38NA6P5900000000000000
39NA6I3600000000000000
40NA6R10200313600003013010000
41NA6F1600000000000000
42NA6B1100000000000000
43NA6I2900000000000000
44NA6R500000000000000
45NA6I20009740000000000
46NA6I300000000000000
47NA6F1600017920000000000
48SCA7R17000100000000000
49SCA7I200000000000000
50SCA7R2600000000000000
51SCA7I200000000000000
52SCA7F2300000000000000
53SCA7P100004080000000000
54SCA7P240002060000000000
55SCA7F1200002600002727052500
56SCA7B90000400000000000
57SCA7R66000450000000000
58SCA7P39000730000000000
59SCA7B47000790000000000
60SCA7F7200027000069690000
61SCA7P83000270000000000
62SCA8R10480003600000005000
63SCA8P220002640000000000
64SCA8I1200027380000660000
65SCA8F460008800002732730000
66SCA8I3003566670000000000
67SCA8F300000000000000
68SCA8R26000210100003843840000
69SCA8R143000460000000000
70SCA8I2100000000000000
71SCA8R1940884088000000000000
72SCA8F530003200001231230000
73SCA8P1890005300001721720000
74SCA8P16260001600007702800
75SCA8B8200036000067670000
76SCA8B11200016000012120000
Summary of potentially bioaccessible and total acid-soluble Mg, Al, Si, K, V, Cr, Fe estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation. Summary of potentially bioaccessible and total acid-soluble Mn, Co, Ni, Cu, Zn, As, Se estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation. Summary of potentially bioaccessible and total acid-soluble Sr, Ag, Cd, Sn, Ba, Pb, U estimated concentrations for 76 respirable coal mine dust samples. Samples are ordered by mine region (i.e., MCA = mid-central Appalachia, NA = northern Appalachia, SCA = south-central Appalachia), mine number (i.e., 1–8), sampling location (i.e., I = intake, R = return, P = production, B = bolter, F = feeder). Elemental concentrations are reported on dry mass basis (i.e., μg per g of respirable dust). Mass values represent dust (μg) recovered from filter. Elemental analysis could not be performed on samples 8 and 30 due to significant dust loss during sample preparation.

Experimental design, materials, and methods

Sample collection

A total of 76 sets of respirable dust samples were collected in eight underground coal mines in mid-central (MCA, mines 1–4), northern (NA, mines 5 and 6), and south-central Appalachia (SCA, mines 7 and 8). The samples were collected in five key locations: intake airway (I), just outby of the primary production area (including the headgate of a longwall section) or along the mantrip track; feeder (F), near the feeder breaker or along the main conveyor belt; production (P), just downwind of an active continuous miner or near the midface of a longwall section (except for Mine 4); roof bolter (B), just downwind of an active bolter; and return airway (R), just outby of the primary production area (including the tailgate of a longwall section). A detailed description of the mines and sampling protocol was previously reported [2]. Briefly, all samples were collected using a small air pump with a 10-mm nylon Dorr-Oliver cyclone, which produces a d50 cut size of about 4 μm at the sampling flow rate of 1.7 L/min. Each sample set represents a unique sampling event, during which multiple replicate samples were collected simultaneously, over a continuous 2–4 hr period. One sample from each set is included in the analysis described here. These samples were collected directly onto 37-mm polycarbonate filters (PC, track-etched with 0.4 μm pore size). Although the PC filters used in this study are expected to have very high overall collection efficiencies for the particle size range studied here (e.g., see [3], [4]), at least some penetration of very fine particles likely occurred. Surface collection efficiencies were probably impacted more. For example, others have previously observed that PC filters (0.29 μm pore size, 1L/min sample flow rate) had surface collection efficiencies of 22, 42 and 83% for 75, 133, and 237nm particles, respectively [4]. Results reported in Table 1 and Fig. 1 should be viewed accordingly. As described in the companion research article [1], a 9-mm circular subsection was cut from the center of each PC filter sample and prepared for particle distribution analysis by sputter-coating with Au/Pd; and the rest of the filter was used for the metals and trace elements analysis.

Particle distribution analysis

The particle distribution analysis was conducted in two phases: supramicron and submicron. The supramicron analysis was performed using a computer-controlled SEM-EDX routine, which has been described elsewhere [5], and the results were previously reported in another research article [2]. The submicron analysis was performed using manual SEM-EDX, which is described in detail below. Both phases of analysis were done using the same instrumentation and software, a FEI Quanta 600 FEG environmental SEM (FEI, Hillsboro, OR) equipped with a Bruker Quantax 400 EDX spectroscope (operated in backscatter mode) and Esprit software (Version 1.9) (Bruker, Ewing, NJ). Table 3 highlights key features of each analytical routine.
Table 3

Description of sub- and supramicron particle analysis routines using SEM-EDX.

FeatureSubmicron AnalysisSupramicron Analysis
MethodManualComputer Controlled
Magnification20,000x1,000x
Spot size46.5
Voltage (kV)1015
Working distance (mm)12.512.5
# Frames/sample, range17–18910–157
# Frames/sample, average6933
# Particles/frame, max750
# Particles/sample, range83–31561–500
# Particles/sample, average236489
Diameter (nm)∼100–1000∼1000–10,000
Classification byElemental spectral peak heights (Cps/eV)Atomic % determined from elemental spectral peak ratios (only considering C, O, Al, Si, Ca, Mg, Fe, Ti)
Typical particle typesC = diesel particulates, coal dustC = coal dust
AS = clay mineral dustAS = clay mineral dust
S = silica dustS = silica dust
CB = carbonate mineral dustCB = carbonate mineral dust
HM = not often possible to identifyHM = metal sulfide/oxide dust
Description of sub- and supramicron particle analysis routines using SEM-EDX. In both phases of analysis, individual particles were selected for analysis. While filter overloading was not generally an issue, care was taken to only select non-aggregated particles (i.e., distinct from neighboring particles). This approach served to minimize interference between particles for elemental analysis, but does assume that the distribution of non-aggregated particles on the sample filters is representative of the overall particle distribution. For each particle, two main types of data were collected: (1) dimensions, and (2) the elemental spectra. The dimensions were used to determine particle projected area diameters. The spectral peak heights (or their resulting atomic ratios) were used to classify particles by their mineralogy. Classification criteria for supramicron particles into five defined mineralogy classes (i.e., C = carbonaceous, AS = alumino-silicates, S = silica, CB = carbonates, HM = heavy minerals) were previously described [5]. Those criteria were developed and verified using particles from high-purity or known materials. Any particles that did not meet the criteria for one of the five defined classes was binned into a class called “other” (i.e., O). The classification criteria were adapted (Table 4) and verified (Table 5) for analysis of submicron particles, using a similar approach. It should be noted that submicron particles in the C class may include both carbonaceous (i.e., coal) dust and diesel particulates, which can sometimes be identified based on their characteristic morphology (e.g., as shown in Fig. 2).
Table 4

Classification criteria for each defined mineralogy category used in the sub- and supramicron particle analysis. (Supramicron criteria were previously published [5]). The values represent minimum raw spectral peak heights (Cps/eV) for the manual submicron analysis and minimum atomic percentage for the automated supramicron analysis under the SEM-EDX instrument settings noted in Table 3. Reproduced from the companion research article [1].

ElementSubmicron (Cps/eV)
Supramicron (Atomic %)
CASSCBHMCASSCBHM
Carbon≥48>74<85<86<85
OxygenNot included<29>13>15>15>12
Aluminum≥0.5<0.3>0.2<0.2
Silicon≥0.5≥0.2<0.5<0.3>0.2>0.5
Calcium/Magnesium≥0.3<0.3>0.5
Iron/Titanium/Aluminum≥0.5>0.5
Table 5

Classification results on submicron particles in respirable dust samples generated in the laboratory using high-purity or known materials. Results are shown for particles both above and below the 400nm threshold used to delineate very fine and larger particles in this work. The coal material was known to have some mineral content associated with it; analysis on a −325 mesh (i.e., −44 μm) bulk sample of the material showed about 10% ash by mass, and mineral content is expected to concentrate in finer size fractions. Reproduced from the companion research article [1].

Dust Source MaterialClassification Category
C
AS
S
CB
HM
Other
<400≥400<400≥400<400≥400<400≥400<400≥400<400≥400
Coal74%63%26%37%0%0%0%0%0%0%0%0%
Shale3%0%88%88%9%13%0%0%0%0%1%0%
Rock Dust1%0%15%14%0%0%84%84%0%0%0%2%
Quartz0%0%6%8%93%90%0%0%0%1%1%0%
Kaolinite9%0%90%89%0%0%0%5%1%5%0%0%
Calcite3%3%2%0%0%0%92%97%2%0%2%0%
Fig. 2

Examples of DPM particles in dust samples from several mines. In some cases, DPM can be identified by its characteristic morphology of chains or clusters of ultrafine carbon spheres. Images in the upper panel were collected at the 20,000x standard magnification used for the manual SEM-EDX work to characterize submicron particles. Images in the lower panel were collected at 30,000x (left), 40,000x (middle) and 100,000x (right).

Classification criteria for each defined mineralogy category used in the sub- and supramicron particle analysis. (Supramicron criteria were previously published [5]). The values represent minimum raw spectral peak heights (Cps/eV) for the manual submicron analysis and minimum atomic percentage for the automated supramicron analysis under the SEM-EDX instrument settings noted in Table 3. Reproduced from the companion research article [1]. Classification results on submicron particles in respirable dust samples generated in the laboratory using high-purity or known materials. Results are shown for particles both above and below the 400nm threshold used to delineate very fine and larger particles in this work. The coal material was known to have some mineral content associated with it; analysis on a −325 mesh (i.e., −44 μm) bulk sample of the material showed about 10% ash by mass, and mineral content is expected to concentrate in finer size fractions. Reproduced from the companion research article [1]. Examples of DPM particles in dust samples from several mines. In some cases, DPM can be identified by its characteristic morphology of chains or clusters of ultrafine carbon spheres. Images in the upper panel were collected at the 20,000x standard magnification used for the manual SEM-EDX work to characterize submicron particles. Images in the lower panel were collected at 30,000x (left), 40,000x (middle) and 100,000x (right). The manual submicron particle analysis proceeded as follows: Initially, the SEM stage was moved to the center frame (i.e., in the center of the sample). Analysis began at the center frame and then proceeded through subsequent frames respectively (from frame 1 to 45, see Fig. 3) to ensure particle selection across a wide area. At 20,000x magnification, each frame was approximately 139 μm2 (12.67 μm × 10.96 μm) and the frames were spaced 1 mm apart.
Fig. 3

Frame positions for manual SEM-EDX analysis of submicron particles on a 9-mm subsection of a filter sample.

Frame positions for manual SEM-EDX analysis of submicron particles on a 9-mm subsection of a filter sample. In each frame, seven particles were analyzed. The first four were in the upper left quadrant of the frame; and the last three were in the lower right quadrant (see Fig. 4). This means that the maximum number of particles selected for analysis was 315 (i.e., 7 particles per frame by 45 frames). For each particle, the long and intermediate dimensions were measured, and then EDX elemental spectral peak heights (cps/eV) were recorded for the following elements: C, Al, Si, Ca, Mg, Fe, Ti, S, K, Na, P, Cr, Ni, Cl, Mn, Cu, Zn, Pb, Hf, Co, and F. Using these peak heights, the particle could be binned into one of the five defined mineralogy classes (i.e., C, AS, S, CB, HM per Table 4) or into the O class.
Fig. 4

Illustrative example of analysis in upper left and lower right quadrants of an SEM-EDX frame for submicron particle analysis. In this particular frame, the seven circled particles would be selected for analysis.

Illustrative example of analysis in upper left and lower right quadrants of an SEM-EDX frame for submicron particle analysis. In this particular frame, the seven circled particles would be selected for analysis. If particle loading on the sample was relatively light, the upper right and lower left quadrants in each frame were used to identify additional particles (i.e., up to the maximum of 7 per frame). Further, more frames were analyzed beyond the 45 shown in Fig. 3 if necessary; in this case, frames were located equidistant between the those identified in Fig. 3 and analysis proceeded following the same pattern. Following completion of both the sub- and supramicron particle analysis, the resulting datasets were merged to allow description of particle distributions across the entire size range (Fig. 1). This was done by normalizing both datasets on the basis of particles per analyzed-filter-area. Finally, the data were split into the very fine (i.e., <400nm) and larger particles (i.e., 400–10,000nm) bins included in Table 1.

Metals and trace elements analysis

Following is a detailed description of the method used to prepare and analyze respirable coal mine dust samples to determine mass concentrations of potentially bioaccessible and total acid-soluble metals and trace elements. The method involved two sequential digestions of each dust sample, the first in a simulated lung fluid (SLF) and the second in a strong acid solution. It is noted that the term “total acid-soluble” used here refers to the total mass concentration of each element that could be dissolved via both digestions. Because the strong acid digestion did not employ hydrofluoric acid (HF), it is also noted that some elemental concentrations (i.e., particularly Si and Al) could be underestimated. First, dust was recovered from each PC filter remnant (i.e., following removal of the 9-mm subsection used for SEM-EDX work): Each filter remnant was weighed to establish a pre-weight prior to dust removal. Each filter was then placed into a glass digestion tube and rinsed with 18 MΩ water. Enough water was added to fully submerse the filter. The tubes were then capped and sonicated for 1 hr, followed by centrifuging for 10 min (@ 3000 rpm) to settle the dust. Tubes were then uncapped and water was evaporated in a clean oven (@110 °C). Dry filters were re-weighed to determine recovered dust mass. For the purpose of estimating elemental concentrations in the current study (Table 2a, Table 2b, Table 2ca–c), any dust mass measured as <2 μg was assumed to be 2 μg to limit calculation of inordinately high concentrations. Next, SLF, which is sometimes called “Gamble's solution”, was prepared per [6]: To prepare 1 L of SLF, the ingredients shown in Table 6 were added (in listed order) to 1 L of 18 MΩ water, which was gently mixing by magnetic stirrer.
Table 6

SLF solution chemistry. All chemicals were reagent-grade or higher where available.

AdditionChemicalFormulaConcentration/L
1Ammonium chlorideNH4Cl535 mg
2Sodium chlorideNaCl6780 mg
3Sodium bicarbonateNaHCO31770 mg
4Sodium carbonateNa2CO3630 mg
5Sodium dihydrogen phosphate monohydrateNaH2PO4·H2O166 mg
6Sodium citrate dihydrateNa3-citrate·2H2O59 mg
7GlycineC2H5NO2450 mg
8Sulfuric acidH2SO451 mg (27.7 μL)
9Calcium chloride dihydrateCaCl2·2H2O29 mg
SLF solution chemistry. All chemicals were reagent-grade or higher where available. The solution was then placed in a water bath (constant 37 °C), and the pH was adjusted to 7.4 using trace-metal grade HCl. The SLF solution was added to each digestion tube containing dry dust, as well as tubes prepared as matrix and blank samples. The SLF solution volume was determined using a 1/50,000 solid (i.e., dust) to SLF liquid ratio per [7]. They recommend a ratio between 1/500 and 1/50,000 for experiments to estimate bioaccessibility of metals. Since the dust samples available for this study generally had low weights (i.e., below 1 mg), and at least 5 mL of solution is required for the ICP-MS elemental analysis, the maximum recommended solid to SLF liquid ratio was adopted. The tubes were capped and placed in the sonication bath for 24 hours (@ constant 37 °C), and then centrifuged for 10 min (@ 3000 rpm). A 5 mL aliquot of the liquid was taken by syringe using a PTFE filter (0.1 μm pore size), to trap any remaining dust particles, and then the SLF digestate was added to an ICP tube and acidified to 2% (by volume) HNO3 using trace-metal grade acid. Then, a method modified from ASTM D7439-14 [8] was used to digest the remaining dust from each sample (i.e., that not digested by the SLF) in a strong acid solution: The PTFE filter used to trap dust from the SLF sample was placed back into the tube used for the SLF digestion. The filter and tube walls were then washed by pipetting a solution of 10% HNO3 (prepared with 18 MΩ water). Under a fume hood, the tubes were positioned in a hot block (internal temperature @ 95 °C), covered with watch glass, and heated until completely dry. Then 1.25 mL of concentrated HCl was added to each tube, and the tubes were again covered and placed back into the hot block for 15 min, followed by 5 min of cooling. The above step was then repeated with 1.25 mL of concentrated HNO3. Each tube was then diluted to a final volume of 25 mL with 18 MΩ water, taking care to wash down the sides of the tube and watch glass, and capped and shaken. A 5 mL aliquot of the liquid was taken by syringe using a PTFE filter (0.1 μm pore size), to trap any remaining dust particles, and then the strong acid digestate was added to an ICP tube and acidified to 2% (by volume) HNO3 using trace-metal grade acid. Finally, digestates from the SLF and strong acid digestions were analyzed by ICP-MS using a Thermo Electron X Series instrument (Thermo Fisher Scientific, Waltham, MA): For each ICP run, at least 5 blank PC filters were prepared using both SLF and strong acid digestion procedures to allow for blank corrections. The SLF and strong acid solutions were also analyzed to allow matrix corrections. ICP results (μg/L in the digestate solutions) were corrected and then transformed into dry dust concentrations (μg/g) using the dust mass recovered from each filter. The concentration determined from the SLF digestate is regarded as potentially bioaccessible; and the sum of the concentration from the SLF and strong acid digestates is regarded as total acid-soluble concentration. It is noted that, due to relatively low sample masses for the current dataset, results in Table 2a, Table 2b, Table 2ca–c should be regarded as estimated concentrations. The elements that were measured by ICP-MS and reported here are listed in Table 7 with their respective method reporting level (MRL) in the ICP solution. These limits are based on the calibration curve for each element, which is generated using a series of standard solutions. The limits of detection are generally about one order of magnitude lower. (Note that other elements, including Ca, Na, P, Ti, S and Cl, can be measured by ICP-MS, but were not included in the analysis presented here due to significant interferences from the digestion solutions.) In addition to ICP-MS calibration prior to sample analysis, check standards and blank samples were run between every set of 10 samples analyzed to ensure that there was no significant instrument drift or carryover contamination between samples.
Table 7

MRLs for elements included in ICP-MS analysis.

MRL (μg/L)ElementMRL (μg/L)Element
0.05U5Se
0.1Co, Ni, Ag10Fe, Mg, Si, Sr, V, Zn
0.5As50Ba
1Al, Cd, Cr, Cu, Pb, Mn100K
MRLs for elements included in ICP-MS analysis.

Specifications table

Subject areaEngineering
More specific subject areaEnvironmental monitoring for occupational health, mining engineering
Type of dataTable (i.e., summary of 50 + variables); graphs (i.e., particle size distributions for each mineralogy class by mine, sampling location); descriptive information on methods including necessary tables/figures is also provided (e.g., to describe digestion solutions).
How data was acquiredParticle size and mineralogy distribution: this was done by SEM-EDX using an FEI Quanta 600 FEG environmental SEM (FEI, Hillsboro, OR) equipped with a Bruker Quantax 400 EDX spectroscope (Bruker, Ewing, NJ)Potentially bioaccessible and total acid-soluble metal and trace element concentrations: the digestate solutions were analyzed by ICP-MS using a Thermo Electron X Series instrument (Thermo Fisher Scientific, Waltham, MA).
Data formatRaw and analyzed
Experimental factorsRespirable samples were collected onto polycarbonate filters. SEM-EDX work was performed directly on the filter media after sputter-coating with Au/Pd. For the metals and trace elements analysis, dust was removed from the filters by sonication, and then digested in simulated lung fluid and then strong acid.
Experimental featuresParticle size and mineralogy distribution: Data in the supramicron ranges was collected using a computer-controlled SEM-EDX routine, which we have already described in detail elsewhere (see [5]). Data in the submicron range was collected by manual SEM-EDX, and the method is described in detail here and summarized in the companion article. Data was merged across the two size ranges by normalizing particle counts on a unit of analyzed-filter-area basis.Potentially bioaccessible and total acid-soluble metal and trace element estimated concentrations: the digestion to determine potentially bioaccessible elements used for this work was adapted from a published method [6], and that used for total acid-soluble elements is adapted from ASTM D7439-14[8]. We provide a detailed description of the entire method for our samples in the current article.
Data source locationSamples were collected in 3 distinct regions of Appalachia. We are under non-disclosure agreements with industry partners to keep actual mine identities anonymous, but have published the general locations and mine descriptions (see [2]).
Data accessibilityWithin this article.
Related research articleRef [1]: E. Sarver, C. Keles, M. Rezaee, Beyond conventional metrics: comprehensive characterization of respirable coal mine dust, Int. J. Coal Geol. 207 (2019) 84–95. https://doi.org/10.1016/j.coal.2019.03.015.
Value of the data

This dataset represents a comprehensive characterization of respirable coal mine dust.

The data may inform a ranged of stakeholders interested in respirable dust, including those in industry such as mine operators and miners; those in the health sciences including epidemiologists, toxicologists and pathologists; and those in engineering and technology development for dust controls and protections.

The additional value of the data is that the specific dust characteristics included here have not been widely reported elsewhere in the literature.

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