Sasha D. Hafner

Mr. Sasha D. Hafner

Department of Engineering, Aarhus University, Aarhus, Denmark
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2003 in Environmental Pollution
Verified
Journal Article
Closed access
KGK.S. Godwin
K.S. Godwin
Sasha D. HafnerSasha D. Hafner
Sasha D. Hafner
MBM.F. Buff
M.F. Buff

19 June 2020 in Water
Verified
Journal Article
Open access
PDF file
Sasha D. HafnerSasha D. Hafner
Sasha D. Hafner
HLHélène Fruteau de Laclos
Hélène Fruteau de Laclos
Konrad KochKonrad Koch
Konrad Koch
Christof HolligerChristof Holliger
Christof Holliger
Biochemical methane potential (BMP) tests used to determine the ultimate methane yield of organic substrates are not sufficiently standardized to ensure reproducibility among laboratories. In this contribution, a standardized BMP protocol was tested in a large inter-laboratory project, and results were used to quantify sources of variability and to refine validation criteria designed to improve BMP reproducibility. Three sets of BMP tests were carried out by more than thirty laboratories from fourteen countries, using multiple measurement methods, resulting in more than 400 BMP values. Four complex but homogenous substrates were tested, and additionally, microcrystalline cellulose was used as a positive control. Inter-laboratory variability in reported BMP values was moderate. Relative standard deviation among laboratories (RSDR) was 7.5 to 24%, but relative range (RR) was 31 to 130%. Systematic biases were associated with both laboratories and tests within laboratories. Substrate volatile solids (VS) measurement and inoculum origin did not make major contributions to variability, but errors in data processing or data entry were important. There was evidence of negative biases in manual manometric and manual volumetric measurement methods. Still, much of the observed variation in BMP values was not clearly related to any of these factors and is probably the result of particular practices that vary among laboratories or even technicians. Based on analysis of calculated BMP values, a set of recommendations was developed, considering measurement, data processing, validation, and reporting. Recommended validation criteria are: (i) test duration at least 1% net 3 d, (ii) relative standard deviation for cellulose BMP not higher than 6%, and (iii) mean cellulose BMP between 340 and 395 NmLCH4 gVS−1. Evidence from this large dataset shows that following the recommendations—in particular, application of validation criteria—can substantially improve reproducibility, with RSDR < 8% and RR < 25% for all substrates. The cellulose BMP criterion was particularly important. Results show that is possible to measure very similar BMP values with different measurement methods, but to meet the recommended validation criteria, some laboratories must make changes to their BMP methods. To help improve the practice of BMP measurement, a new website with detailed, up-to-date guidance on BMP measurement and data processing was established.

1 July 2003 in Agriculture, Ecosystems & Environment
Verified
Journal Article
Closed access
Sasha D. HafnerSasha D. Hafner
Sasha D. Hafner

1 October 2013 in Atmospheric Environment
Verified
Journal Article
Open access
Sasha D. HafnerSasha D. Hafner
Sasha D. Hafner
CHCody Howard
Cody Howard
RMRichard E. Muck
Richard E. Muck
RFRoberta B. Franco
Roberta B. Franco
FMFelipe Montes
Felipe Montes
CRC. Alan Rotz
C. Alan Rotz

1 February 2019 in Atmospheric Environment
Verified
Journal Article
Closed access
Sasha D. HafnerSasha D. Hafner
Sasha D. Hafner
Andreas PacholskiAndreas Pacholski
Andreas Pacholski
SBShabtai Bittman
Shabtai Bittman
MCMarco Carozzi
Marco Carozzi
MCMartin Chantigny
Martin Chantigny
SSSven Gjedde Sommer
Sven Gjedde Sommer