The cell phone patted the tomato "doctor" to come

Plant Volatility Detection Smartphone Imaging Platform Design
Maybe you just need to take out your phone, turn on the camera, and take a picture of tomatoes in the field to avoid an epidemic that causes "particles to go no". On July 29th a paper published online in Nature-Plant described a smartphone sensor that could detect microbe-infested tomato plants. The system is expected to detect germs in a timely manner to help fight destructive crop diseases.
statistics, plant diseases will cause about 20% to 40% of the loss of production, global food security poses a serious threat. In the United States, crop losses are estimated at $14.1 billion and $21.5 billion per year, respectively, due to the introduction of non-native arthropod species and plant pathogens.
disease is caused by microorganisms called disease-causing mold and is one of the most dangerous plant diseases, seriously affecting the production of important cash crops such as potatoes and tomatoes. Late epidemics alone can cost the world nearly $5 billion. The disease can be identified by the dark brown damage on the surface of plant tissue. Once the disease-affecting mold spores form, the spore sacs spread to other plants, and the bacteria quickly infect new plants of tomatoes and potatoes. If left unprocessed, infected plants will die within a few days.
, if weather conditions are right, germs can expand rapidly, leading to disease epidemics. In the 2009 late-on-epidemic pandemic in the eastern United States, the pathogen spread from infected areas to more than 50 percent of Counties in New York State in just about two weeks. The disease-causing mold caused the Great Famine of Ireland in the 19th century.
therefore, the development of a fast and effective method for early diagnosis of pathogenic mold and many other plant pathogens is essential to prevent the spread of pathogens and subsequent crop diseases, as well as to reduce economic losses in agriculture.
Currently, detection of plant pathogens focuses on a variety of molecular analysis methods, including nucleic acid-based techniques such as PCR and DNA microarrays, as well as immunological methods such as antibody-based lateral flow tests (LFA) and enzyme-linked immunosorption assays (ELISA). Wei Qingshan of North Carolina State University, who led the study, said nucleic acid-based methods are sensitive and specific, but the testing scheme is cumbersome and immunoanalytic techniques make on-site testing simple, but are limited by detection sensitivity and specificity in some applications.
addition, some chips used to detect plant pathogens have been proven on laboratory PCR devices, but few field portable devices provide high analytical performance while maintaining simplicity and cost-effectiveness.
, Wei Qingshan and colleagues developed a sensor that could detect late-on-the-egg disease within two days of tomato disease. The chemically modified gold nanoparticles they used reacted with volatile organic matter released by the leaves of the strain, and cell phone cameras were able to capture color changes caused by the reaction.
"We have developed a smartphone-based fingerprinting platform for volatile organic compounds that can make noninvasive diagnoses of late-oncology disease by monitoring field-specific leaf volatile emissions. Wei Qingshan said, "The handheld device integrates a one-time color sensor array consisting of plasma nanochromes and chemically reactive organic dyes that detect critical plant volatile levels within one minute of reaction." Using
portable volatile organic compound detection platform, the researchers conducted multiple detections and classifications of 10 plant volatiles. The results showed that the platform was able to detect tomato late on the second day after tomato infection and identify other pathogens with similar symptoms on tomato leaves.
, the device was 95 percent accurate in a blind test.
" technology can detect late-on-disease diseases before symptoms are seen by the naked eye, enabling people to take early action to prevent the spread of the disease. If used in combination with different color-matching indicators, the technique may be used to detect other plant diseases. Wei Qingshan said. (Source: Tang Feng, China Science Journal)
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