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      Australian invention able to help crack down on illegal drug trade
      Source: Xinhua   2018-06-08 09:59:25

      CANBERRA, June 8 (Xinhua) -- Australian scientists have helped develop a system that can detect chemicals in minuscule quantities and potentially help law authorities curtail illegal drug trade.

      The system, devised by a team that included academics from the Canberra-based Australian National University (ANU), can be developed into a portable drug-testing kits to help authorities crack down on drugs.

      ANU scientist Professor Dragomir Neshev, a co-author of the research published in Science, said on Friday the invention measured infrared signatures of organic molecules and translated them into barcodes, which could be used to identify specific drugs.

      Infrared spectroscopy detects whether a given molecule is present in a sample by seeing whether the sample absorbs light rays at the molecule's signature frequencies.

      Professor Neshev, from the ANU Research School of Physics and Engineering, said on Friday, "We think our invention could be developed into a commercial drug-testing prototype within just a few years."

      "It can detect and recognise drugs in extremely small quantities which are released when the body metabolises drugs, providing a new technology for police to mobile-drug test motorists or suspected drug traffickers in a simple and non-invasive way," he said.

      Co-researcher Dr Mingkai Liu said such a device can be used also for medical diagnosis and to make the benefits of prescribed medications for patients on expensive therapeutic treatments.

      "Our invention consists of an engineered surface with hundreds of tiny pixels," Dr Liu said. "Each pixel senses the molecular absorption at a specific frequency, generating a distinct barcode for every molecule that the surface touches."

      These barcodes can be analyzed and classified using advanced pattern recognition and machine learning such as artificial neural networks.

      Editor: Xiang Bo
      Related News
      Xinhuanet

      Australian invention able to help crack down on illegal drug trade

      Source: Xinhua 2018-06-08 09:59:25
      [Editor: huaxia]

      CANBERRA, June 8 (Xinhua) -- Australian scientists have helped develop a system that can detect chemicals in minuscule quantities and potentially help law authorities curtail illegal drug trade.

      The system, devised by a team that included academics from the Canberra-based Australian National University (ANU), can be developed into a portable drug-testing kits to help authorities crack down on drugs.

      ANU scientist Professor Dragomir Neshev, a co-author of the research published in Science, said on Friday the invention measured infrared signatures of organic molecules and translated them into barcodes, which could be used to identify specific drugs.

      Infrared spectroscopy detects whether a given molecule is present in a sample by seeing whether the sample absorbs light rays at the molecule's signature frequencies.

      Professor Neshev, from the ANU Research School of Physics and Engineering, said on Friday, "We think our invention could be developed into a commercial drug-testing prototype within just a few years."

      "It can detect and recognise drugs in extremely small quantities which are released when the body metabolises drugs, providing a new technology for police to mobile-drug test motorists or suspected drug traffickers in a simple and non-invasive way," he said.

      Co-researcher Dr Mingkai Liu said such a device can be used also for medical diagnosis and to make the benefits of prescribed medications for patients on expensive therapeutic treatments.

      "Our invention consists of an engineered surface with hundreds of tiny pixels," Dr Liu said. "Each pixel senses the molecular absorption at a specific frequency, generating a distinct barcode for every molecule that the surface touches."

      These barcodes can be analyzed and classified using advanced pattern recognition and machine learning such as artificial neural networks.

      [Editor: huaxia]
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