[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiPartyloSulGQ1-7LoQaaDGOMw-s9RYixuO-qpXbe7pfXPLAU":563,"$apiPartyloSulGQ1-7LoQaaDGOMw-s9RYixuO-qpXbe7pfXPLAU$H93EERW16b":563},{"product_data":4,"scene_data":21,"task_data":407,"modality_data":441,"domain_data":478},[5,9,12,15,18],{"name":6,"value":7,"add_value":8,"describe":8},"Rivo","1","",{"name":10,"value":11,"add_value":8,"describe":8},"Cubo","2",{"name":13,"value":14,"add_value":8,"describe":8},"Moye","3",{"name":16,"value":17,"add_value":8,"describe":8},"Juro","4",{"name":19,"value":20,"add_value":8,"describe":8},"Ordo","5",[22,73,135,197,232,267,302,337,372],{"name":23,"value":7,"add_value":24,"describe":25,"children":26},"Home & Indoor","sofa","AI enhances everyday home life. Our datasets cover real indoor scenes to support smart devices, robotics, and home intelligence.",[27,29,31,33,35,37,40,43,46,49,52,55,58,61,64,67,70],{"name":28,"value":7},"Living Room",{"name":30,"value":11},"Bedroom",{"name":32,"value":14},"Kitchen",{"name":34,"value":17},"Dining Area",{"name":36,"value":20},"Bathroom",{"name":38,"value":39},"Entrance \u002F Foyer","6",{"name":41,"value":42},"Corridor \u002F Hallway","7",{"name":44,"value":45},"Staircase","8",{"name":47,"value":48},"Home Office","9",{"name":50,"value":51},"Hobby \u002F Game Room","10",{"name":53,"value":54},"Worship Space","11",{"name":56,"value":57},"Garage","12",{"name":59,"value":60},"Utility \u002F Laundry Room","13",{"name":62,"value":63},"Pantry","14",{"name":65,"value":66},"Basement","15",{"name":68,"value":69},"Garden","16",{"name":71,"value":72},"Balcony","17",{"name":74,"value":11,"add_value":75,"describe":76,"children":77},"Office & Educational","workshop","AI is reshaping work and learning. Our datasets capture offices and classrooms to power automation and next-generation productivity tools.",[78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132],{"name":79,"value":80},"Open Office","18",{"name":82,"value":83},"Private Office","19",{"name":85,"value":86},"Co-working Space","20",{"name":88,"value":89},"Reception \u002F Lobby","21",{"name":91,"value":92},"Conference Room","22",{"name":94,"value":95},"Huddle Room \u002F Booth","23",{"name":97,"value":98},"Lecture Hall \u002F Auditorium","24",{"name":100,"value":101},"Classroom","25",{"name":103,"value":104},"Science Laboratory","26",{"name":106,"value":107},"Library","27",{"name":109,"value":110},"Design Studio","28",{"name":112,"value":113},"Pantry \u002F Breakroom","29",{"name":115,"value":116},"Cafeteria \u002F Canteen","30",{"name":118,"value":119},"Restroom (Commercial)","31",{"name":121,"value":122},"Gymnasium \u002F Sports Hall","32",{"name":124,"value":125},"Server Room","33",{"name":127,"value":128},"Mailroom \u002F Logistics","34",{"name":130,"value":131},"Janitorial Closet","35",{"name":133,"value":134},"Corridor \u002F Elevators","36",{"name":136,"value":14,"add_value":137,"describe":138,"children":139},"Healthcare & Medical","love-and-help","AI is advancing modern healthcare. Our datasets include clinics and hospitals to enable clinical insights and medical automation.",[140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194],{"name":141,"value":142},"Operating Theatre \u002F OR","37",{"name":144,"value":145},"Consultation Room","38",{"name":147,"value":148},"Treatment Room","39",{"name":150,"value":151},"Dental Clinic","40",{"name":153,"value":154},"Inpatient Ward","41",{"name":156,"value":157},"Nurse Station","42",{"name":159,"value":160},"ICU","43",{"name":162,"value":163},"NICU (Neonatal ICU)","44",{"name":165,"value":166},"Emergency Room (ER)","45",{"name":168,"value":169},"Hospital Corridor","46",{"name":171,"value":172},"Waiting Area","47",{"name":174,"value":175},"CT\u002FMRI","48",{"name":177,"value":178},"Medical Laboratory","49",{"name":180,"value":181},"Phlebotomy Room","50",{"name":183,"value":184},"Rehabilitation Gym","51",{"name":186,"value":187},"Assisted Living Room","52",{"name":189,"value":190},"Pharmacy","53",{"name":192,"value":193},"Sterile Processing Dept","54",{"name":195,"value":196},"Medical Storage","55",{"name":198,"value":17,"add_value":199,"describe":200,"children":201},"Business & Public Service","business","AI is elevating commercial and public services. Our datasets span retail, dining, and service centers to improve intelligent operations.",[202,205,208,211,214,217,220,223,226,229],{"name":203,"value":204},"Shopping Mall Atrium","86",{"name":206,"value":207},"Supermarket Shelf","87",{"name":209,"value":210},"Self-Checkout Counter","88",{"name":212,"value":213},"Restaurant Dining Hall","89",{"name":215,"value":216},"Commercial Kitchen","90",{"name":218,"value":219},"Hotel Lobby","91",{"name":221,"value":222},"Subway Platform","92",{"name":224,"value":225},"Security Checkpoint","93",{"name":227,"value":228},"Underground Parking","94",{"name":230,"value":231},"Bank Teller Zone","95",{"name":233,"value":20,"add_value":234,"describe":235,"children":236},"Industrial & Manufacturing","robot-arm","AI is modernizing industry. Our datasets capture factories and logistics spaces to support robotics and intelligent manufacturing.",[237,240,243,246,249,252,255,258,261,264],{"name":238,"value":239},"Final Assembly Line","96",{"name":241,"value":242},"Quality Control Station","97",{"name":244,"value":245},"Robotic Welding Cell","98",{"name":247,"value":248},"CNC Machining Center","99",{"name":250,"value":251},"Cleanroom","100",{"name":253,"value":254},"Automated Warehouse","101",{"name":256,"value":257},"Loading Dock","102",{"name":259,"value":260},"Sorting Center","103",{"name":262,"value":263},"Chemical Plant","104",{"name":265,"value":266},"Power Substation","105",{"name":268,"value":39,"add_value":269,"describe":270,"children":271},"Transportation & Driving","car","AI is revolutionizing mobility. Our datasets capture road networks, vehicle dynamics and traffic scenarios to support autonomous driving and intelligent transportation systems.",[272,275,278,281,284,287,290,293,296,299],{"name":273,"value":274},"Urban Intersection","56",{"name":276,"value":277},"Highway \u002F Expressway","57",{"name":279,"value":280},"Tunnel","58",{"name":282,"value":283},"Roundabout","59",{"name":285,"value":286},"School \u002F Hospital Zone","60",{"name":288,"value":289},"Toll Station","61",{"name":291,"value":292},"Construction Zone","62",{"name":294,"value":295},"Parking Garage","63",{"name":297,"value":298},"Driver Cabin","64",{"name":300,"value":301},"Adverse Weather","65",{"name":303,"value":42,"add_value":304,"describe":305,"children":306},"Outdoor & Construction","tent-tree","AI is optimizing outdoor operations. Our datasets capture construction sites, open-air work zones and outdoor infrastructure to support smart construction and autonomous outdoor machinery.",[307,310,313,316,319,322,325,328,331,334],{"name":308,"value":309},"Excavation Site","66",{"name":311,"value":312},"Scaffolding Area","67",{"name":314,"value":315},"Material Storage Yard","68",{"name":317,"value":318},"Site Entrance","69",{"name":320,"value":321},"Roadwork Zone","70",{"name":323,"value":324},"Bridge Infrastructure","71",{"name":326,"value":327},"Transmission Line","72",{"name":329,"value":330},"Open-pit Mine","73",{"name":332,"value":333},"Tunneling Site","74",{"name":335,"value":336},"Post-Disaster Rubble","75",{"name":338,"value":45,"add_value":339,"describe":340,"children":341},"Nature, Aerial & Aquatic","global-loop","AI is exploring the natural world. Our datasets capture terrestrial landscapes, aerial vistas and aquatic ecosystems to support environmental monitoring and autonomous exploration systems.",[342,345,348,351,354,357,360,363,366,369],{"name":343,"value":344},"Deep Forest","76",{"name":346,"value":347},"Farmland \u002F Crops","77",{"name":349,"value":350},"River \u002F Lake","78",{"name":352,"value":353},"Open Ocean","79",{"name":355,"value":356},"Underwater Coral Reef","80",{"name":358,"value":359},"Fish Farm","81",{"name":361,"value":362},"Mountain Terrain","82",{"name":364,"value":365},"Urban Low Altitude","83",{"name":367,"value":368},"Fire Scene","84",{"name":370,"value":371},"Desert \u002F Gobi","85",{"name":373,"value":48,"add_value":374,"describe":375,"children":376},"Virtul & Digital","siri","AI is reshaping the virtual realm. Our datasets capture digital twins, virtual environments and simulated spaces to support metaverse development and intelligent digital interaction.",[377,380,383,386,389,392,395,398,401,404],{"name":378,"value":379},"VR Social Space","106",{"name":381,"value":382},"Synthetic Driving Sim","107",{"name":384,"value":385},"Digital Twin City","108",{"name":387,"value":388},"FPS \u002F MOBA Game","109",{"name":390,"value":391},"Robotics Gym","110",{"name":393,"value":394},"AR Navigation","111",{"name":396,"value":397},"Virtual Showroom","112",{"name":399,"value":400},"Code \u002F IDE Interface","113",{"name":402,"value":403},"App GUI Screen","114",{"name":405,"value":406},"Synthetic 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座舱，通过语音、手势、面部识别等实现人机交互，如语音控制导航、音乐播放。\n驾驶员状态监测：识别疲劳、分心、抽烟、打电话等行为，通过大模型判断危险等级，触发相应提醒或干预机制。\n智能驾驶：AI 用于环境感知、路径规划与决策控制，使车辆能识别道路、行人、障碍物等，实现自适应巡航、自动泊车、车道保持等功能，提升驾驶安全性与便利性。",{"id":492,"value":492,"name":136,"intro":493,"add_value":137,"describe":493},4,"医学影像诊断：分析 CT、MRI 等影像，辅助医生检测疾病、识别病灶，如 AI 系统可快速发现肺部结节。\n医患对话助手：通过自然语言处理理解患者问题，提供初步健康建议或就诊指导，缓解医生接诊压力。\n智能健康管理：根据用户健康数据，提供个性化健康建议、疾病预警，如智能手环结合 AI 分析用户运动、睡眠、心率等数据。",{"id":495,"value":495,"name":496,"intro":497,"add_value":498,"describe":497},6,"Smart Devices","多模态交互：支持语音、手势、眼神等多种交互方式，如 AI 眼镜可通过语音指令实现翻译、搜索功能。\n智能感知与处理：使设备能感知环境、理解用户需求，如智能音箱根据环境噪音自动调节音量。\n个性化服务：根据用户使用习惯和偏好，提供个性化功能与服务，如智能手表为用户定制运动健身计划。","microscope",{"id":500,"value":500,"name":501,"intro":502,"add_value":503,"describe":502},8,"Law & 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E-commerce","智能客服：通过自然语言对话理解用户需求，提供产品推荐、订单查询、退换货支持等服务，提升客户满意度。\n个性化营销推荐：基于用户浏览、购买、偏好等行为数据，生成个性化推荐内容与优惠策略，提高转化率和客单价。\n商品内容生成：自动撰写商品标题、卖点描述、使用说明等内容，适用于海量SKU的内容生产与多语言发布。","buy",{"id":520,"value":520,"name":521,"intro":522,"add_value":523,"describe":8},10,"Security & Protection",null,"safe-shield-line",{"id":525,"value":525,"name":526,"intro":522,"add_value":527,"describe":8},11,"Environment & Climate","weather",{"id":529,"value":529,"name":530,"intro":522,"add_value":531,"describe":8},12,"Energy & Resource","energy-leaf",{"id":533,"value":533,"name":534,"intro":522,"add_value":535,"describe":8},13,"Express & Logistics","speed-outline",{"id":537,"value":537,"name":538,"intro":522,"add_value":539,"describe":8},15,"Sports","baseball-outline",{"id":541,"value":541,"name":542,"intro":522,"add_value":543,"describe":8},16,"General Data","daily-booth",{"id":545,"value":545,"name":546,"intro":522,"add_value":547,"describe":8},17,"Content & Media","media",{"id":549,"value":549,"name":550,"intro":522,"add_value":551,"describe":8},18,"Construction","construction",{"id":553,"value":553,"name":554,"intro":522,"add_value":555,"describe":8},19,"IT & Telecom","tech",{"id":557,"value":557,"name":558,"intro":522,"add_value":498,"describe":8},20,"Science & Research",{"id":560,"value":560,"name":561,"intro":522,"add_value":562,"describe":8},21,"Language & Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":483,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":572,"download_count":573,"unit":573,"amount":574,"is_create_order":573,"enterprise_id":488,"seo_keywords":575,"seo_description":576,"data_format":577,"file_size":578,"apply_scene":579,"training_task":580,"version":581,"dataset_type_id":492,"dataset_scene_id":557,"sample_file":8,"banner":8,"unit_name":8,"cate_name":449,"icon_url":8,"banner_url":8,"sample_file_url":8,"data_dict":582,"qa_list":623,"sample_metadatas":640,"text_sample_content":675,"enterprise_name":676,"enterprise_logo":677,"data_distribution":678},1097,"671356447ebe9bdcec047b68ba99b907","Comprehensive Q&A Dataset on Chromatographic Method and Instrument Compatibility","Train models to assess chromatography compatibility by reasoning across method parameters, sample conditions, and instrument specifications.","\u003Cp>This dataset provides long-form question-and-answer examples about the compatibility of chromatographic methods, sample requirements, and instrument constraints. Topics include flow rate, pressure, temperature, columns, mobile phases, injection modes, and system configurations, with each example pairing a compatibility question with a clear conclusion, expert reasoning, and practical adjustment recommendations where needed. It is designed for domain-specific supervised fine-tuning, Q&A evaluation, and technical support applications in chromatography instrumentation.\u003C\u002Fp>","2026-10-10 11:25:48","2026-10-19 18:49:25","0.00",39,0,5000,"chromatography compatibility dataset, chromatography instrument Q&A, analytical method conditions, instrument parameter matching, chromatography method validation, domain-specific SFT, long-form question answering, instrument application knowledge","Chromatography compatibility Q&A covering methods, sample requirements, and instrument constraints, with expert reasoning and adjustment recommendations for SFT","JSON","0.3GB","chromatography method development, analytical instrument compatibility assessment, laboratory testing optimization","compatibility assessment, technical question answering, constraint-based reasoning","V1.0",[583,588,593,598,603,608,613,618],{"id":573,"name":584,"field":585,"intro":586,"type":587},"File Name","file_name","File name","string",{"id":589,"name":590,"field":591,"intro":592,"type":587},7974,"Expert Answer and Rationale","expert_answer","Combines method conditions, sample requirements, and instrument constraints to explain the compatibility assessment and the relationships among relevant parameters or configurations.",{"id":594,"name":595,"field":596,"intro":597,"type":587},7975,"Adjustment Recommendations","recommendations","When incompatibilities or conditions apply, describes feasible parameter adjustments, configuration changes, or points requiring further confirmation. If no changes are needed, it may state that no adjustment is required.",{"id":599,"name":600,"field":601,"intro":602,"type":587},7976,"Analytical Method Conditions","method_conditions","Describes the chromatographic method's flow rate, pressure, temperature, column, mobile phase, and other analytical conditions.",{"id":604,"name":605,"field":606,"intro":607,"type":587},7977,"Sample Requirements","sample_requirements","Describes sample properties, preparation requirements, injection volume, and other analysis- or injection-related requirements.",{"id":609,"name":610,"field":611,"intro":612,"type":587},7978,"Compatibility Conclusion","compatibility_status","Summarizes whether the method and instrument are compatible, using a clear conclusion such as fully compatible, compatible with conditions, or incompatible.",{"id":614,"name":615,"field":616,"intro":617,"type":587},7979,"Compatibility Question","compatibility_question","Poses a specific question that requires assessing compatibility among the given method, sample, and instrument conditions.",{"id":619,"name":620,"field":621,"intro":622,"type":587},7980,"Instrument Constraints","instrument_constraints","Describes instrument specifications or limits, including flow rate, pressure, temperature, injection mode, and system configuration.",[624,628,632,636],{"id":625,"question":626,"answer":627},5837,"What does the dataset cover?","It focuses on chromatographic method conditions, sample requirements, and instrument constraints. Topics include flow rate, pressure, temperature, columns, mobile phases, injection modes, and system configurations, with compatibility questions, conclusions, supporting reasoning, and recommendations.",{"id":629,"question":630,"answer":631},5838,"How are compatibility conclusions presented?","Each example gives a clear summary of whether the method and instrument are compatible, such as fully compatible, compatible with conditions, or incompatible. The explanation relates the relevant input parameters to the conclusion. Actual data quality and coverage should be verified against the delivered records.",{"id":633,"question":634,"answer":635},5839,"What are the intended use cases?","The dataset can support supervised fine-tuning and evaluation of domain-specific Q&A systems for chromatography instrumentation, as well as technical workflows for matching methods with equipment parameters. Verify recommendations against the specific instrument model, method version, and laboratory procedures before use.",{"id":637,"question":638,"answer":639},5840,"How can the data be accessed, and what are the licensing terms?","Access methods, available formats, and permitted uses depend on the listing or provider terms; no download channel or license details are specified here. Confirm applicable licensing, privacy, and compliance requirements before commercial deployment, redistribution, or use in sensitive workflows.",[641,654,664],{"id":642,"relate_table":643,"relate_id":644,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":645,"cate_name":646,"expert_answer":647,"recommendations":648,"method_conditions":649,"sample_requirements":650,"compatibility_status":651,"compatibility_question":652,"instrument_constraints":653},14692,"union_cubo",426429285,"{\"expert_answer\": \"The column dimensions, carrier-gas control, splitless injection mode, 250 °C inlet setting, and 1 µL injection are supported by the stated instrument configuration. However, the method requires an oven temperature of 320 °C, while the oven maximum is 300 °C. The column rating of 330 °C does not overcome the instrument's lower oven limit, so the method cannot be run as written.\", \"recommendations\": \"Use a GC with an oven rated for at least 320 °C, or revise the temperature program to remain at or below 300 °C and verify that the revised conditions provide acceptable separation. Confirm compatibility of the complete column and instrument configuration before operation.\", \"method_conditions\": \"Capillary GC method using a 30 m × 0.25 mm ID, 0.25 µm film column. Use helium at a constant flow of 1.2 mL\u002Fmin, splitless injection at 250 °C, and an oven program ending at 320 °C with an 8-minute final hold. The column's stated maximum temperature is 330 °C.\", \"sample_requirements\": \"The sample is a volatile organic mixture prepared in a GC-compatible solvent. Inject 1 µL using splitless mode; the sample preparation specifies no requirement for a heated transfer line.\", \"compatibility_status\": \"Incompatible as written\", \"compatibility_question\": \"Can the stated GC method, including its final oven temperature, be run on this instrument with the installed configuration?\", \"instrument_constraints\": \"The GC supports helium constant-flow control, splitless injection, and inlet temperatures up to 300 °C. The oven's maximum operating temperature is 300 °C. The installed capillary-column fittings accept columns with a 0.25 mm internal diameter.\"}","文本","The column dimensions, carrier-gas control, splitless injection mode, 250 °C inlet setting, and 1 µL injection are supported by the stated instrument configuration. However, the method requires an oven temperature of 320 °C, while the oven maximum is 300 °C. The column rating of 330 °C does not overcome the instrument's lower oven limit, so the method cannot be run as written.","Use a GC with an oven rated for at least 320 °C, or revise the temperature program to remain at or below 300 °C and verify that the revised conditions provide acceptable separation. Confirm compatibility of the complete column and instrument configuration before operation.","Capillary GC method using a 30 m × 0.25 mm ID, 0.25 µm film column. Use helium at a constant flow of 1.2 mL\u002Fmin, splitless injection at 250 °C, and an oven program ending at 320 °C with an 8-minute final hold. The column's stated maximum temperature is 330 °C.","The sample is a volatile organic mixture prepared in a GC-compatible solvent. Inject 1 µL using splitless mode; the sample preparation specifies no requirement for a heated transfer line.","Incompatible as written","Can the stated GC method, including its final oven temperature, be run on this instrument with the installed configuration?","The GC supports helium constant-flow control, splitless injection, and inlet temperatures up to 300 °C. The oven's maximum operating temperature is 300 °C. The installed capillary-column fittings accept columns with a 0.25 mm internal diameter.",{"id":655,"relate_table":643,"relate_id":656,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":657,"cate_name":646,"expert_answer":658,"recommendations":659,"method_conditions":660,"sample_requirements":661,"compatibility_status":651,"compatibility_question":662,"instrument_constraints":663},14691,768953416,"{\"expert_answer\": \"The specified 1.20 mL\u002Fmin flow exceeds the pump's maximum of 1.00 mL\u002Fmin, so the instrument cannot deliver the method flow rate. The stated 320 bar method pressure is below the instrument and column limits, while the 35 °C temperature and 10 µL injection are within their respective ranges. Those matching parameters do not resolve the flow-rate limitation.\", \"recommendations\": \"Use a pump rated for at least 1.20 mL\u002Fmin, or develop and validate a revised method at or below 1.00 mL\u002Fmin. If the flow is changed, reassess pressure and confirm chromatographic performance; the supplied information does not establish the pressure or separation at a revised flow rate.\", \"method_conditions\": \"Isocratic HPLC method on a 250 × 4.6 mm, 5 µm column. The specified flow rate is 1.20 mL\u002Fmin, the column temperature is 35 °C, and the mobile phase is a water–methanol mixture. The method specification gives an expected system pressure of 320 bar at the specified flow rate; the column pressure rating is 400 bar.\", \"sample_requirements\": \"The sample is dissolved in the mobile phase, filtered through a 0.45 µm membrane, and injected at 10 µL. No special temperature control is required for the sample.\", \"compatibility_status\": \"Incompatible as written\", \"compatibility_question\": \"Can the method be run as written on this instrument, considering its flow and pressure limits?\", \"instrument_constraints\": \"The instrument supports isocratic operation and has a pump flow range of 0.05–1.00 mL\u002Fmin with a maximum pressure of 400 bar. The column oven operates from 10 to 70 °C, and the autosampler accepts injection volumes from 1 to 100 µL.\"}","The specified 1.20 mL\u002Fmin flow exceeds the pump's maximum of 1.00 mL\u002Fmin, so the instrument cannot deliver the method flow rate. The stated 320 bar method pressure is below the instrument and column limits, while the 35 °C temperature and 10 µL injection are within their respective ranges. Those matching parameters do not resolve the flow-rate limitation.","Use a pump rated for at least 1.20 mL\u002Fmin, or develop and validate a revised method at or below 1.00 mL\u002Fmin. If the flow is changed, reassess pressure and confirm chromatographic performance; the supplied information does not establish the pressure or separation at a revised flow rate.","Isocratic HPLC method on a 250 × 4.6 mm, 5 µm column. The specified flow rate is 1.20 mL\u002Fmin, the column temperature is 35 °C, and the mobile phase is a water–methanol mixture. The method specification gives an expected system pressure of 320 bar at the specified flow rate; the column pressure rating is 400 bar.","The sample is dissolved in the mobile phase, filtered through a 0.45 µm membrane, and injected at 10 µL. No special temperature control is required for the sample.","Can the method be run as written on this instrument, considering its flow and pressure limits?","The instrument supports isocratic operation and has a pump flow range of 0.05–1.00 mL\u002Fmin with a maximum pressure of 400 bar. The column oven operates from 10 to 70 °C, and the autosampler accepts injection volumes from 1 to 100 µL.",{"id":665,"relate_table":643,"relate_id":666,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":667,"cate_name":646,"expert_answer":668,"recommendations":669,"method_conditions":670,"sample_requirements":671,"compatibility_status":672,"compatibility_question":673,"instrument_constraints":674},14690,162273164,"{\"expert_answer\": \"The required flow rate of 0.35 mL\u002Fmin is within the pump range, and the stated pressure range of 300–520 bar is below both the column rating of 600 bar and the instrument limit of 800 bar. The 45 °C column temperature is within the oven range, gradient elution is supported, and the 2 µL injection is within the autosampler range. The sample preparation also matches the stated initial mobile-phase conditions. Based on the supplied specifications, no incompatibility is identified.\", \"recommendations\": \"No adjustment is required. Confirm that the assembled system remains below the column pressure rating during the run.\", \"method_conditions\": \"Reversed-phase UHPLC method using a 2.1 × 100 mm, 1.7 µm column. The flow rate is 0.35 mL\u002Fmin, the column temperature is 45 °C, and the mobile phase runs from aqueous buffer at pH 3.0 to acetonitrile in a gradient. System pressure is expected to remain between 300 and 520 bar. The column pressure rating is 600 bar.\", \"sample_requirements\": \"The sample is soluble in the initial mobile phase. Prepare it in that solvent, filter through a 0.2 µm membrane, and inject 2 µL.\", \"compatibility_status\": \"Fully compatible\", \"compatibility_question\": \"Can this method and sample be run on the stated instrument without changing the method or instrument configuration?\", \"instrument_constraints\": \"The instrument supports gradient elution and has a pump flow range of 0.01–2.00 mL\u002Fmin with a maximum pressure of 800 bar. Its column oven operates from 5 to 80 °C, and the autosampler supports injection volumes from 0.1 to 20 µL.\"}","The required flow rate of 0.35 mL\u002Fmin is within the pump range, and the stated pressure range of 300–520 bar is below both the column rating of 600 bar and the instrument limit of 800 bar. The 45 °C column temperature is within the oven range, gradient elution is supported, and the 2 µL injection is within the autosampler range. The sample preparation also matches the stated initial mobile-phase conditions. Based on the supplied specifications, no incompatibility is identified.","No adjustment is required. Confirm that the assembled system remains below the column pressure rating during the run.","Reversed-phase UHPLC method using a 2.1 × 100 mm, 1.7 µm column. The flow rate is 0.35 mL\u002Fmin, the column temperature is 45 °C, and the mobile phase runs from aqueous buffer at pH 3.0 to acetonitrile in a gradient. System pressure is expected to remain between 300 and 520 bar. The column pressure rating is 600 bar.","The sample is soluble in the initial mobile phase. Prepare it in that solvent, filter through a 0.2 µm membrane, and inject 2 µL.","Fully compatible","Can this method and sample be run on the stated instrument without changing the method or instrument configuration?","The instrument supports gradient elution and has a pump flow range of 0.01–2.00 mL\u002Fmin with a maximum pressure of 800 bar. Its column oven operates from 5 to 80 °C, and the autosampler supports injection volumes from 0.1 to 20 µL.","{\"expert_answer\":\"The column dimensions, carrier-gas control, splitless injection mode, 250 °C inlet setting, and 1 µL injection are supported by the stated instrument configuration. However, the method requires an oven temperature of 320 °C, while the oven maximum is 300 °C. The column rating of 330 °C does not overcome the instrument's lower oven limit, so the method cannot be run as written.\",\"recommendations\":\"Use a GC with an oven rated for at least 320 °C, or revise the temperature program to remain at or below 300 °C and verify that the revised conditions provide acceptable separation. Confirm compatibility of the complete column and instrument configuration before operation.\",\"method_conditions\":\"Capillary GC method using a 30 m × 0.25 mm ID, 0.25 µm film column. Use helium at a constant flow of 1.2 mL\\\u002Fmin, splitless injection at 250 °C, and an oven program ending at 320 °C with an 8-minute final hold. The column's stated maximum temperature is 330 °C.\",\"sample_requirements\":\"The sample is a volatile organic mixture prepared in a GC-compatible solvent. Inject 1 µL using splitless mode; the sample preparation specifies no requirement for a heated transfer line.\",\"compatibility_status\":\"Incompatible as written\",\"compatibility_question\":\"Can the stated GC method, including its final oven temperature, be run on this instrument with the installed configuration?\",\"instrument_constraints\":\"The GC supports helium constant-flow control, splitless injection, and inlet temperatures up to 300 °C. The oven's maximum operating temperature is 300 °C. The installed capillary-column fittings accept columns with a 0.25 mm internal diameter.\"}","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[679,685],{"type":680,"title":681,"count_data":682},"bar","Length distribution",[683],{"name":684,"value":483},"1k lower",{"type":686,"title":687,"count_data":688},"pie","Language distribution",[689],{"name":690,"value":483},"English"]