Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Beverly Guo is active.

Publication


Featured researches published by Beverly Guo.


Indoor Air | 2010

Determination of material emission signatures by PTR-MS and their correlations with odor assessments by human subjects

KwangHoon Han; J. S. Zhang; Pawel Wargocki; Henrik Nellemose Knudsen; Beverly Guo

UNLABELLED The objectives of this study were to determine volatile organic compound (VOC) emission signatures of nine typical building materials by using proton transfer reaction-mass spectrometry (PTR-MS) and to explore the correlation between the PTR-MS measurements and the measurements of acceptability by human subjects. VOC emissions from each material were measured in a 50-l small-scale chamber. Chamber air was sampled by PTR-MS to determine emission signatures. Sorbent tube sampling and TD-GC/MS analysis were also performed to identify the major VOCs emitted and to compare the resulting data with the PTR-MS emission signatures. The data on the acceptability of air quality assessed by human subjects were obtained from a previous experimental study in which the emissions from the same batch of materials were determined under the same area-specific ventilation rates as in the case of the measurements with PTR-MS. Results show that PTR-MS can be an effective tool for establishing VOC emission signatures of material types and that there were reasonable correlations between the PTR-MS measurements and the acceptability of air quality for the nine materials tested when the sum of selected major individual VOC odor indices was used to represent the emission level measured by PTR-MS. PRACTICAL IMPLICATIONS The study shows that unique emission patterns may exist for different types of building materials. These patterns, or signatures, can be established by using PTR-MS, an online monitoring device. The sum of selected major individual VOC odor indices determined by PTR-MS correlates well with the acceptability of air quality assessed by human subjects, and hence provides a feasible approach to assessing perceived indoor air quality. This online assessment will open a new gate in understanding the role of VOC emissions from building materials on perceived air quality, forming a good foundation to develop real-time or near real-time methods for standard material emission testing and labeling, quality control of emissions from materials, and assessing the acceptability of air quality in buildings.


Indoor Air | 2014

Ozone reaction with clothing and its initiated VOC emissions in an environmental chamber

Aakash C. Rai; Beverly Guo; Chao-Hsin Lin; Jianshun Zhang; Jingjing Pei; Qingyan Chen

Human health is adversely affected by ozone and the volatile organic compounds (VOCs) produced from its reactions in the indoor environment. Hence, it is important to characterize the ozone-initiated reactive chemistry under indoor conditions and study the influence of different factors on these reactions. This investigation studied the ozone reactions with clothing through a series of experiments conducted in an environmental chamber under various conditions. The study found that the ozone reactions with a soiled (human-worn) T-shirt consumed ozone and generated VOCs. The ozone removal rate and deposition velocity for the T-shirt increased with the increasing soiling level and air change rate, decreased at high ozone concentrations, and were relatively unaffected by the humidity. The deposition velocity for the soiled T-shirt ranged from 0.15 to 0.29 cm/s. The ozone-initiated VOC emissions included C6-C10 straight-chain saturated aldehydes, acetone, and 4-OPA (4-oxopentanal). The VOC emissions were generally higher at higher ozone, humidity, soiling of T-shirt, and air change rate. The total molar yield was approximately 0.5 in most cases, which means that for every two moles of ozone removed by the T-shirt surface, one mole of VOCs was produced.


Hvac&r Research | 2014

Evaluation of filter media performance: Correlation between high and low challenge concentration tests for toluene and formaldehyde (ASHRAE RP-1557)

Chuan He; W. Chen; KwangHoon Han; Beverly Guo; Jingjing Pei; Jianshun Zhang

To guide the selection of gas phase filtration media in the air cleaning devices, it is important to understand and estimate the media performance under usage concentrations. Filters for improving indoor air quality are typically subject to low volatile organic compounds (VOCs) concentration levels (e.g., ∼50 ppb), while the current standard tests per ASHRAE 145.1 (ANSI/ASHRAE 2008). are performed at relatively high challenge concentrations (∼1–100 ppm level). The primary objective of this study was to determine if media that perform well at the high concentration test condition would also perform well under the low concentration. The secondary objective was to investigate if and how existing models of filtration by media bed can be applied to extrapolate the results from the high concentration tests to the low concentration condition. Experiments and simulations were carried out at both high concentrations (100 ppm for toluene and 1 ppm for formaldehyde) and low concentrations (0.05 ppm for toluene and formaldehyde) for six selected filtration media. The results show that (1) the high concentration test data were able to differentiate the relative performance among the media at the low concentration properly, confirming the validity of using ASHRAE 145.1 (ANSI/ASHRAE 2008) for relative performance comparison; (2) significant initial breakthrough observed at high concentration tests of large pellet media was not present at the low concentration tests, indicating the dependency of the adsorption capability of the sorbent media on the concentration level as well as the possible “by-pass” effects (i.e., not all the VOC molecules in the air stream had the same chance to contact with the sorbent media); and (3) existing models need to be improved by incorporating the concentration dependency of the partition coefficient and the by-pass effect in order to predict the breakthrough curve at low concentrations properly. Such an improved model was proposed, evaluated with the measured data, and was found to be promising for physical sorbent, but requires further development for chemical, catalytic sorbent and large pellet sorbent. The study provides previously unavailable experimental data and new insight into the behavior of the filtration media for volatile organic compounds as well as evidence in support of the application of ASHRAE Standard 145.1 (ANSI/ASHRAE 2008) for media performance evaluation.


Hvac&r Research | 2012

Characterization of microbial species in a regenerative bio-filter system for volatile organic compound removal

Wen Hsuan Huang; Zhiqiang Wang; Geetika S. Choudhary; Beverly Guo; Jianshun Zhang; Dacheng Ren

Effective removal of volatile organic compounds is critical for indoor air quality control. The performance of traditional technologies of volatile organic compound removal is limited by inadequate selection of filter media, poor airflow management inside the cleaning devices, insufficient catalytic reaction surface area, and poor distribution of UV light irradiation. In comparison, the relatively new regenerative air filtration systems use a plant root bed of activated carbon, porous shale pebbles, microbes, and a wet scrubber to remove volatile organic compounds and radon from the air in tightly sealed buildings. To better understand such systems and optimize their performance, the microbes were characterized in a model bio-filter system and their activities in formaldehyde removal were isolated. Golden Pothos was chosen as the model plant, and the microbes from the plant roots and pebbles. By using universal primers to amplify 16S rRNA genes, seven different strains of bacteria were identified belonging to the species of Arthrobacter aurescens, A. oxydans, Leifsonia xyli, Pseudomonas putida, and Bacillus sp., including B. cereus. In particular, a strain of A. aurescens TC1 isolated from this system was found to remove 86.2% of formaldehyde within 24 h with a starting concentration of 11.84 ppm. These results are helpful for better understanding symbiotic microbe–plant interactions and for designing more efficient bio-filters.


Atmospheric Environment | 2011

Development of a Novel Methodology for Indoor Emission Source Identification

KwangHoon Han; J. S. Zhang; Henrik Nellemose Knudsen; Pawel Wargocki; Hao Chen; Pramod K. Varshney; Beverly Guo


Clean-soil Air Water | 2009

A new experimental method for the determination of emittable initial voc concentrations in building materials and sorption isotherms for IVOCs

James Smith; Zhi Gao; Jensen S. Zhang; Beverly Guo


7th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2010 | 2010

Characterization of microbial species in a regenerative bio-filter system for VOC removal

Wen Hsuan Huang; Zhiqiang Wang; Geetika S. Choudhary; Beverly Guo; Jianshun Zhang; Dacheng Ren


9th International Healthy Buildings Conference and Exhibition, HB 2009 | 2009

Development and validation of a scaling method for environmental chamber determination of VOC emissions from office furniture

Alfred T. Hodgson; Jianshun Zhang; Beverly Guo; Jing Xu


9th International Healthy Buildings Conference and Exhibition, HB 2009 | 2009

An inter-laboratory comparison study of the ANSI/BIFMA standard test method M7.1 for furniture

J. S. Zhang; Mark A. Mason; Alfred T. Hodgson; Beverly Guo; Ken Krebs; Alpha Barry; Ben Peters


12th International Conference on Indoor Air Quality and Climate 2011 | 2011

Consideration of the Change of Material Emission Signatures due to Longterm Emissions for Enhancing VOC Source Identification

KwangHoon Han; J. S. Zhang; Henrik Nellemose Knudsen; Pawel Wargocki; Beverly Guo

Collaboration


Dive into the Beverly Guo's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Pawel Wargocki

Technical University of Denmark

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge