In US coal mines, the continuous personal dust monitor (CPDM) is frequently used to determine miners' exposure to respirable dust. Capabilities to analyze the respirable crystalline silica (RCS) content of that dust are needed, but the CPDM sample collection substrate ("stub") interferes with direct analysis. To overcome this challenge, a three-step method is proposed to recover the dust from the stub, deposit the dust on a polyvinyl chloride (PVC) filter, and analyze the recovered dust by Fourier Transform Infrared Spectroscopy (FTIR) to determine the quartz content (as a proxy for RCS). Recent work has established procedures for the latter two steps using representative dust samples suspended in isopropyl alcohol (IPA). That work is extended in the current study to also address the dust recovery step, testing both IPA and deionized water (HO) as recovery liquids. Here, blank CPDM stubs were subjected to the entire three-step method and results were used to establish a quartz mass correction for residue that is recovered from the stub itself. Then, the method and correction were applied to lab-spiked and field CPDM stubs. For spiked samples, predicted and expected quartz mass values were highly correlated (R values >0.97 regardless of recovery liquid or application of the blank CPDM-stub correction); though predicted values were consistently lower than expected values (regression line slopes between 0.84 and 0.86), which might be related to effects of total recovered sample mass on the deposition pattern achieved on PVC filter. For the field samples, IPA proved to be a much more efficient recovery liquid than HO. Unfortunately, the evaluation of the predicted quartz mass results on the field samples was confounded by apparent issues with reference filter samples intended to determine expected values.

Download full-text PDF

Source
http://dx.doi.org/10.1080/15459624.2025.2471392DOI Listing

Publication Analysis

Top Keywords

field samples
12
quartz mass
12
dust
9
dust recovery
8
three-step method
8
pvc filter
8
cpdm stubs
8
recovery liquid
8
expected values
8
samples
7

Similar Publications

High-throughput Photoactive Magnetic Microrobots for Food Quality Control.

Small Methods

March 2025

Future Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology (CEITEC-BUT), Purkyňova 123, Brno, 61200, Czech Republic.

Ensuring food quality and safety according to stringent global standards requires analytical procedures that are accurate, cost-effective, and efficient. This present innovative high-throughput microrobots designed for the detection of antioxidants in food samples. These microrobots consist of photocatalytic bismuth subcarbonate anchored on silica-coated magnetite nanoparticles.

View Article and Find Full Text PDF

Development of a colloidal gold-based immunochromatographic strip for rapid detection of .

Front Microbiol

February 2025

School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Haikou, China.

Background: (APV1), the causal agent of betel palm yellow leaf disease (YLD), has caused significant yield losses and decreased product quality of betel nuts, posing a serious economic threat to local farmers. There is an urgent need for a convenient and reliable method for the rapid detection and surveillance of APV1.

Methods: The Capsid protein (CP) of APV1 was expressed in and purified as antigen to immunize BALB/c mice.

View Article and Find Full Text PDF

Augmenting the human interactome for disease prediction through gene networks inferred from human cell atlas.

Anim Cells Syst (Seoul)

March 2025

Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.

Gene co-expression network inference from bulk tissue samples often misses cell-type-specific interactions, which can be detected through single-cell gene expression data. However, the noise and sparsity of single-cell data challenge the inference of these networks. We developed scNET, a framework for integrative cell-type-specific co-expression network inference from single-cell transcriptome data, demonstrating its utility in augmenting the human interactome for more accurate disease gene prediction.

View Article and Find Full Text PDF

Entrepreneurial intention (EI) is a crucial requirement for encouraging significant entrepreneurial activity, which is essential for economic growth and social stability. Cultivating college students' EI is a critical element of higher education. Based on the theory of planned behavior (TPB), this study constructs a moderated mediation model, aiming to explore the intricate processes and conditioning elements that influence the EI of college students and investigate the mediating role of future time perspective (FTP) between positive emotion (PE) and entrepreneurial intention (EI) among Chinese college students, as well as the moderating role of gender.

View Article and Find Full Text PDF

Elastographic magnetization prepared imaging with rapid encoding.

Magn Reson Med

March 2025

Department of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.

Purpose: To introduce a novel sequence for achieving fast, whole-brain MR elastography data through the introduction of a magnetization preparation block for motion encoding along with rapid imaging readouts.

Theory And Methods: We implemented MRE motion encoding in a magnetization preparation pulse sequence block, where spins are excited, motion encoded, and then stored longitudinally. This magnetization is accessed through a train of rapid gradient echoes and encoded with a 3D stack-of-spirals trajectory.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!