Intermediate-volatility organic compounds (IVOCs) have
been found
as important sources for secondary organic aerosol (SOA) formation.
IVOC emissions from nonroad construction machineries (NRCMs), including
two road rollers and three motor graders, were characterized under
three operation modes using an improved portable emission measurement
system. The fuel-based IVOC emission factors (EFs) of NRCMs varied
from 245.85 to 1802.19 mg/kg·fuel, which were comparable at magnitudes
to the reported results of an ocean-going ship and on-road diesel
vehicles without filters. The discrepancy of IVOC EFs is significant
within different operation modes. IVOC EFs under the idling mode were
1.24–3.28 times higher than those under moving/working modes.
Unspeciated b-alkanes and cyclic compounds, which
were the unresolved components in IVOCs at the molecular level, accounted
for approximately 91% of total IVOCs from NRCMs. The SOA production
potential analysis shows that IVOCs dominated SOA formation of NRCMs.
Our results demonstrate that IVOC emissions from NRCMs are non-negligible.
Thus, an accurate estimation of their IVOC emissions would benefit
the understanding of SOA formation in the urban atmosphere.
Estimating truck emissions accurately would benefit atmospheric research and public health protection. Here, we developed a full-sample enumeration approach TrackATruck to bridge low-frequency but full-size vehicles driving big data to high-resolution emission inventories. Based on 19 billion trajectories, we show how big the emission difference could be using different approaches: 99% variation coefficients on regional total (including 31% emissions from non-local trucks), and ± as large as 15 times on individual counties. Even if total amounts are set the same, the emissions on primary cargo routes were underestimated in the former by a multiple of 2–10 using aggregated approaches. Time allocation proxies are generated, indicating the importance of day-to-day estimation because the variation reached 26-fold. Low emission zone policy reduced emissions in the zone, but raised emissions in upwind areas in Beijing's case. Comprehensive measures should be considered, e.g. the demand-side optimization.
Desirable biosensing assays need to be sensitive, specific, cost‐effective, instrument‐free, and versatile. Herein we report a new strategy termed CLIPON (CRISPR and Large DNA assembly Induced Pregnancy strips for signal‐ON detection) that can deliver these traits. CLIPON integrates a commercial pregnancy test strip (PTS) with four biological elements: the human chorionic gonadotropin (hCG), CRISPR‐Cas12a, crRNA and cauliflower‐like large‐sized DNA assemblies (CLD). CLIPON uses the Cas12a/crRNA complex both to recognize a target of interest and to release CLD‐bound hCG so that target presence can translate into a colorimetric signal on the PTS. We demonstrate the versatility of CLIPON through sensitive and specific detection of HPV genomic DNA, SARS‐CoV‐2 genomic RNA and adenosine. We also engineer a cell phone app and a hand‐held microchip to achieve signal quantification. CLIPON represents an attractive option for biosensing and point‐of‐care diagnostics.
Coronavirus
diseases such as the coronavirus disease 2019 (COVID-19)
pandemic, caused by severe acute respiratory syndrome coronavirus
2 (SARS-CoV-2), pose serious threats. Portable and accurate nucleic
acid detection is still an urgent need to achieve on-site virus screening
and timely infection control. Herein, we have developed an on-site,
semiautomatic detection system, aiming at simultaneously overcoming
the shortcomings suffered by various commercially available assays,
such as low accuracy, poor portability, instrument dependency, and
labor intensity. Ultrasensitive isothermal amplification [i.e., reverse
transcription loop-mediated isothermal amplification (RT-LAMP)] was
applied to generate intensified SARS-CoV-2 RNA signals, which were
then transduced to portable commercial pregnancy test strips (PTSs)
via ultraspecific human chorionic gonadotropin (hCG)-conjugated toehold-mediated
strand exchange (TMSE) probes (hCG-P). The entire detection was integrated
into a four-channel, palm-size microfluidic device, named the microfluidic
point-of-care (POC) diagnosis system based on the PTS (MPSP) detection
system. It provides rapid, cost-effective, and sensitive detection,
of which the lowest concentration of detection was 0.5 copy/μL
of SARS-CoV-2 RNA, regardless of the presence of other similar viruses,
even highly similar severe acute respiratory syndrome coronavirus
(SARS-CoV). The successful detection of the authentic samples from
different resources evaluated the practical application. The commercial
PTS provides a colorimetric visible signal, which is instrument- and
optimization-free. Therefore, this MPSP system can be immediately
used for SARS-CoV-2 emergency detection, and it is worthy of further
optimization to achieve full automation and detection for other infectious
diseases.
There is a constant drive for affordable point-of-care testing (POCT) technologies for the detection of infectious human diseases. Herein, we report a simple platform for DNA detection that takes advantage of four techniques: commercially available pregnancy test strips (PTS), amplicon generation via loop-mediated isothermal amplification (LAMP), toehold-mediated strand displacement, and noncovalent immobilization of DNA on paper surface with DNA nanoflowers. This simple, separation-free platform is highly specific, as demonstrated with the detection of rtL180M, a singlenucleotide polymorphism observed in hepatitis B virus (HBV) associated with antiviral drug resistance. It is very sensitive, capable of detecting the targeted mutation at 2 copies mL À1 . It is able to correctly identify the unmutated and rtL180M genome types of HBV in clinical samples. Given its wide adaptability, we expect this platform can be easily modified for the detection of genetic variations associated with various pathogens and human diseases.
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