{"product_id":"non-methane-hydrocarbons","title":"NMHC sensor","description":"\u003ch2\u003e\n  \u003cspan style=\"color: #fa0b0b;\"\u003e*\n    \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0631\/2414\/4387\/files\/NMHC.pdf?v=1792737626\" rel=\"noopener\" target=\"_blank\" style=\"color: #fa0b0b;\"\u003e\n      \u003cu\u003eDownload datasheet\u003c\/u\u003e\n    \u003c\/a\u003e\n  *\u003c\/span\u003e\n\u003c\/h2\u003e\n\n\u003cdiv class=\"pro_inner_rit\" style=\"font-family: Verdana, sans-serif; font-size: 14px; line-height: 1.6;\"\u003e\n\n  \u003ch2\u003eWhere are they found?\u003c\/h2\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    Non-methane hydrocarbons (NMHC) are mainly emitted by anthropogenic\n    sources related to energy and transport, such as combustion from\n    gasoline and diesel engines, industrial boilers, traffic, refineries,\n    petrochemical plants, port terminals and service stations.\n    In addition, they are generated during forest fires and agricultural\n    biomass burning, and to a lesser extent by natural sources such\n    as vegetation and organic matter decomposition.\n  \u003c\/p\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    These emissions accumulate in urban, transport and industrial areas,\n    and can disperse on a large scale, contributing to regional\n    air pollution.\n  \u003c\/p\u003e\n\n  \u003ch2\u003eWhy are they harmful?\u003c\/h2\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    Many NMHC are toxic or carcinogenic and can cause respiratory\n    irritation, headaches and neurological effects, posing chronic\n    health risks. Photochemically, they are key precursors of\n    tropospheric ozone and secondary organic aerosols, which worsen\n    smog and PM\u003csub\u003e2.5\u003c\/sub\u003e episodes.\n  \u003c\/p\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    Furthermore, the ozone generated damages vegetation, reduces crop\n    yields, degrades ecosystems and contributes to climate change.\n    The most severe episodes occur in cities and industrial hubs\n    during heat waves and atmospheric stagnation, particularly\n    affecting vulnerable populations.\n  \u003c\/p\u003e\n\n  \u003ch2\u003eNMHC cartridge\u003c\/h2\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    The NMHC cartridge incorporates a new state-of-the-art sensor\n    designed for applications requiring reliable and affordable\n    monitoring of non-methane hydrocarbons.\n  \u003c\/p\u003e\n\n  \u003cp style=\"font-weight: normal;\"\u003e\n    The Kunak algorithm corrects the effects of temperature and humidity,\n    enabling accurate measurements from very low concentrations (ppb)\n    up to 5 ppm. Its compact design, cost-effectiveness and cutting-edge\n    performance make it an ideal solution for continuous monitoring\n    and leak detection.\n  \u003c\/p\u003e\n\n  \u003ch3\u003eTechnical specifications\u003c\/h3\u003e\n\n  \u003cdiv style=\"overflow-x: auto;\"\u003e\n    \u003ctable style=\"width: 100%; border-collapse: collapse; font-family: Verdana, sans-serif; font-size: 14px;\"\u003e\n      \u003ctbody\u003e\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eType\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eN. A.\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eUnit of measurement\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eµg\/m\u003csup\u003e3\u003c\/sup\u003e, ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eMeasurement range \u003csup\u003e(1)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e0–5,000 ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eResolution \u003csup\u003e(2)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e1 ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eOperating temperature range \u003csup\u003e(3)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e-30 to 60 °C\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eOperating RH range \u003csup\u003e(4)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e10 to 99 %RH\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eRecommended RH range \u003csup\u003e(5)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e15 to 90 %RH\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eOperating life \u003csup\u003e(6)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e\u0026gt; 2 years\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eGuarantee range \u003csup\u003e(7)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e30 ppm\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eLimit of Detection (LOD) \u003csup\u003e(8)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e5 ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eRepeatability \u003csup\u003e(9)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e6 ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eResponse time \u003csup\u003e(10)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e\u0026lt; 120 sec\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eTypical accuracy \u003csup\u003e(12)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eTypical precision R\u003csup\u003e2\u003c\/sup\u003e \u003csup\u003e(11)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eTypical slope \u003csup\u003e(11)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eTypical intercept (a) \u003csup\u003e(11)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eDQO - Typical U(exp) \u003csup\u003e(13)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e—\u003c\/td\u003e\n        \u003c\/tr\u003e\n\n        \u003ctr\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003eTypical intra-model variability \u003csup\u003e(14)\u003c\/sup\u003e\n\u003c\/td\u003e\n          \u003ctd style=\"border: 1px solid #999; padding: 10px;\"\u003e\u0026lt; 3 ppb\u003c\/td\u003e\n        \u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv style=\"font-size: 12px; margin-top: 24px; line-height: 1.7;\"\u003e\n    \u003col\u003e\n      \u003cli\u003e\n        \u003cstrong\u003eMeasurement range:\u003c\/strong\u003e\n        Concentration range measured by the sensor.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eResolution:\u003c\/strong\u003e\n        Smallest unit of measurement that can be indicated by the sensor.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eOperating temperature range:\u003c\/strong\u003e\n        Temperature interval at which the sensor is rated to operate safely\n        and provide measurements. In the PM sensor Type A: -40 to 50 °C\n        with heater (more information on this version on request).\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eOperating RH range:\u003c\/strong\u003e\n        Humidity interval at which the sensor is rated to operate safely\n        and provide measurements.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eRecommended RH range:\u003c\/strong\u003e\n        Recommended relative humidity range for optimal sensor performance.\n        Continuous exposure outside the recommended range may damage the cartridge.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eOperating life:\u003c\/strong\u003e\n        Time period during which the sensor can operate effectively and\n        accurately under normal conditions.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eGuarantee range:\u003c\/strong\u003e\n        Concentration range covered by Kunak's guarantee.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eLOD (Limit of Detection):\u003c\/strong\u003e\n        Measured at laboratory conditions at 20 °C and 50% RH.\n        The limit of detection is the minimum concentration that can be\n        detected as significantly different to zero gas concentration,\n        calculated according to the Technical Specification CEN\/TS 17660.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eRepeatability:\u003c\/strong\u003e\n        Measured at laboratory conditions at 20 °C and 50% RH.\n        Closeness of the agreement between the results of successive\n        measurements of the same measurand carried out under the same\n        conditions of measurement, calculated according to the\n        Technical Specification CEN\/TS 17660.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eResponse time:\u003c\/strong\u003e\n        Time needed by the sensor to reach 90% of the final stable value.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eTypical precision – R\u003csup\u003e2\u003c\/sup\u003e, slope and intercept:\u003c\/strong\u003e\n        Statistics obtained between the device hourly measurements and\n        reference instruments in field tests between -10 to +30 °C\n        at different locations. For the type B PM sensor, the expected\n        error for PM\u003csub\u003e10\u003c\/sub\u003e is higher in the presence of coarse particles.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eTypical accuracy:\u003c\/strong\u003e\n        For criteria pollutants, this is the average Mean Absolute Error\n        (MAE) obtained between the device hourly measurements and reference\n        instruments for 1 to 8 months of field tests between -10 to +30 °C\n        in different countries. For other pollutants, it is the expected\n        error of the measurement at the reading.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eDQO - Typical U(exp):\u003c\/strong\u003e\n        Data Quality Objective expressed as the Expanded Uncertainty in the\n        Limit Value obtained between the device hourly measurements and\n        reference instruments for 1 to 8 months of field tests between\n        -10 to +30 °C in different countries, calculated according to\n        the European Air Quality Directive 2024\/2881 and the Technical\n        Specification CEN\/TS 17660. For the type B PM sensor, the expected\n        error for PM\u003csub\u003e10\u003c\/sub\u003e is higher in the presence of coarse particles.\n      \u003c\/li\u003e\n\n      \u003cli\u003e\n        \u003cstrong\u003eTypical intra-model variability:\u003c\/strong\u003e\n        Calculated as the standard deviation of the three sensor means\n        in 1 to 8 months of field tests between -10 to +30 °C\n        in different countries.\n      \u003c\/li\u003e\n    \u003c\/ol\u003e\n\n    \u003cp\u003e\n      \u003cstrong\u003eA, B, C, D superindex:\u003c\/strong\u003e\n      The super indexes refer to different types of cartridges related\n      to the same target pollutant but with different technical specifications.\n    \u003c\/p\u003e\n  \u003c\/div\u003e\n\n\u003c\/div\u003e","brand":"DiamondSci","offers":[{"title":"Default Title","offer_id":49957829411075,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0631\/2414\/4387\/files\/nmhc_png.webp?v=1792737664","url":"https:\/\/diamondsci.com\/products\/non-methane-hydrocarbons","provider":"DiamondSci","version":"1.0","type":"link"}