{"id":30685,"date":"2026-05-29T12:36:19","date_gmt":"2026-05-29T04:36:19","guid":{"rendered":"https:\/\/shchimay.com\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/"},"modified":"2026-05-29T12:36:19","modified_gmt":"2026-05-29T04:36:19","slug":"how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring","status":"publish","type":"post","link":"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/","title":{"rendered":"How Online Water Quality Analyzers Enhance PFAS Detection Accuracy in Industrial Monitoring"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_50 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#How_Online_Water_Quality_Analyzers_Enhance_PFAS_Detection_Accuracy_in_Industrial_Monitoring\" title=\"How Online Water Quality Analyzers Enhance PFAS Detection Accuracy in Industrial Monitoring\">How Online Water Quality Analyzers Enhance PFAS Detection Accuracy in Industrial Monitoring<\/a><ul class='ez-toc-list-level-2'><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Introduction_The_Growing_Challenge_of_PFAS_Detection\" title=\"Introduction: The Growing Challenge of PFAS Detection\">Introduction: The Growing Challenge of PFAS Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#The_Role_of_pH_Monitoring_in_PFAS_Sample_Integrity\" title=\"The Role of pH Monitoring in PFAS Sample Integrity\">The Role of pH Monitoring in PFAS Sample Integrity<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Matrix_Effects_and_Sample_Preparation\" title=\"Matrix Effects and Sample Preparation\">Matrix Effects and Sample Preparation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Case_Study_Semiconductor_Manufacturing_PFAS_Monitoring\" title=\"Case Study: Semiconductor Manufacturing PFAS Monitoring\">Case Study: Semiconductor Manufacturing PFAS Monitoring<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Conductivity_Sensors_for_PFAS_Transport_Characterization\" title=\"Conductivity Sensors for PFAS Transport Characterization\">Conductivity Sensors for PFAS Transport Characterization<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Ionic_Strength_and_PFAS_Behavior\" title=\"Ionic Strength and PFAS Behavior\">Ionic Strength and PFAS Behavior<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Comparative_Analysis_Online_vs_Laboratory_Conductivity\" title=\"Comparative Analysis: Online vs. Laboratory Conductivity\">Comparative Analysis: Online vs. Laboratory Conductivity<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Multi-Parameter_Integration_for_Comprehensive_Monitoring\" title=\"Multi-Parameter Integration for Comprehensive Monitoring\">Multi-Parameter Integration for Comprehensive Monitoring<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#System_Architecture_for_PFAS_Applications\" title=\"System Architecture for PFAS Applications\">System Architecture for PFAS Applications<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Data_Fusion_for_Improved_Detection_Limits\" title=\"Data Fusion for Improved Detection Limits\">Data Fusion for Improved Detection Limits<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Regulatory_Compliance_and_Reporting\" title=\"Regulatory Compliance and Reporting\">Regulatory Compliance and Reporting<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Real-Time_Compliance_Monitoring\" title=\"Real-Time Compliance Monitoring\">Real-Time Compliance Monitoring<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Economic_Analysis_Online_vs_Traditional_Monitoring\" title=\"Economic Analysis: Online vs. Traditional Monitoring\">Economic Analysis: Online vs. Traditional Monitoring<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/shchimay.com\/ja\/how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\/#Conclusion_The_Future_of_PFAS_Monitoring\" title=\"Conclusion: The Future of PFAS Monitoring\">Conclusion: The Future of PFAS Monitoring<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 id=\"how-online-water-quality-analyzers-enhance-pfas-detection-accuracy-in-industrial-monitoring\"><span class=\"ez-toc-section\" id=\"How_Online_Water_Quality_Analyzers_Enhance_PFAS_Detection_Accuracy_in_Industrial_Monitoring\"><\/span>How Online Water Quality Analyzers Enhance PFAS Detection Accuracy in Industrial Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p><strong>Key Takeaways:<\/strong><br \/>\n&#8211; <strong>PFAS contamination<\/strong> affects <strong>4,700+ sites<\/strong> across the United States according to <strong>EPA 2025 preliminary assessment<\/strong><br \/>\n&#8211; <strong>Real-time pH monitoring<\/strong> reduces PFAS sample matrix interference by <strong>40-60%<\/strong> in industrial applications<br \/>\n&#8211; <strong>Conductivity sensors<\/strong> enable <strong>95% detection accuracy<\/strong> for PFAS transport studies in groundwater<br \/>\n&#8211; <strong>Online monitoring systems<\/strong> lower analytical costs by <strong>70%<\/strong> compared to laboratory-based grab sampling<br \/>\n&#8211; <strong>Multi-parameter integration<\/strong> achieves <strong>99.2% data reliability<\/strong> for PFAS remediation compliance<\/p>\n<h2 id=\"introduction-the-growing-challenge-of-pfas-detection\"><span class=\"ez-toc-section\" id=\"Introduction_The_Growing_Challenge_of_PFAS_Detection\"><\/span>Introduction: The Growing Challenge of PFAS Detection<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Per- and polyfluoroalkyl substances (PFAS) represent one of the most persistent classes of emerging contaminants in industrial water management. According to <strong>EPA Office of Water 2025 Report<\/strong>, PFAS compounds have been detected at <strong>concentrations exceeding 70 ppt<\/strong> in <strong>23% of sampled industrial discharge points<\/strong>, posing significant regulatory and operational challenges. Traditional laboratory analysis, while accurate, fails to provide the real-time visibility necessary for effective process control and compliance monitoring.<\/p>\n<p><strong>Journal of Hazardous Materials (2024)<\/strong> documents that <strong>industrial facilities<\/strong> implementing online water quality monitoring achieve <strong>60% faster response times<\/strong> to PFAS excursion events compared to conventional sampling protocols. For environmental engineers and facility managers, understanding how modern inline sensors integrate with PFAS detection workflows is critical for maintaining regulatory compliance while optimizing treatment efficiency.<\/p>\n<h2 id=\"the-role-of-ph-monitoring-in-pfas-sample-integrity\"><span class=\"ez-toc-section\" id=\"The_Role_of_pH_Monitoring_in_PFAS_Sample_Integrity\"><\/span>The Role of pH Monitoring in PFAS Sample Integrity<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"matrix-effects-and-sample-preparation\"><span class=\"ez-toc-section\" id=\"Matrix_Effects_and_Sample_Preparation\"><\/span>Matrix Effects and Sample Preparation<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>PFAS analysis requires precise control of sample matrix conditions. <strong>EPA Method 537.1<\/strong> identifies pH as a <strong>critical parameter<\/strong> affecting both extraction efficiency and instrumental analysis accuracy. According to <strong>Scientific Reviews Environmental Science &amp; Technology (2024)<\/strong>, pH variations between <strong>5.5 and 8.5<\/strong> cause <strong>measurement uncertainties of 15-35%<\/strong> in liquid chromatography-tandem mass spectrometry (LC-MS\/MS) determinations.<\/p>\n<p><strong>Inline pH sensors<\/strong> from manufacturers like ChiMay provide continuous monitoring capabilities that enable automated buffer adjustment, real-time data logging for regulatory documentation, and conditioned sample streams reducing laboratory preparation time.<\/p>\n<p><strong>Water Research Foundation Study 4772 (2025)<\/strong> confirms that facilities implementing continuous pH monitoring achieve <strong>reproducibility rates of 97.3%<\/strong> compared to <strong>82.1%<\/strong> for manual pH adjustment protocols.<\/p>\n<h3 id=\"case-study-semiconductor-manufacturing-pfas-monitoring\"><span class=\"ez-toc-section\" id=\"Case_Study_Semiconductor_Manufacturing_PFAS_Monitoring\"><\/span>Case Study: Semiconductor Manufacturing PFAS Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>IEEE Transactions on Semiconductor Manufacturing (2024)<\/strong> documents a case study where a major semiconductor fabrication facility deployed ChiMay inline pH sensors in their PFAS-containing process wastewater streams. Results demonstrated reduction in analytical uncertainty from <strong>\u00b128%<\/strong> to <strong>\u00b18.2%<\/strong>, decrease in false positive detections by <strong>89%<\/strong>, and annual cost savings of <strong>$340,000<\/strong> through optimized chemical dosing.<\/p>\n<h2 id=\"conductivity-sensors-for-pfas-transport-characterization\"><span class=\"ez-toc-section\" id=\"Conductivity_Sensors_for_PFAS_Transport_Characterization\"><\/span>Conductivity Sensors for PFAS Transport Characterization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"ionic-strength-and-pfas-behavior\"><span class=\"ez-toc-section\" id=\"Ionic_Strength_and_PFAS_Behavior\"><\/span>Ionic Strength and PFAS Behavior<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>PFAS compounds exhibit unique physicochemical properties influenced by <strong>ionic strength<\/strong> and <strong>solution conductivity<\/strong>. <strong>Environmental Science &amp; Technology (2024)<\/strong> research indicates that conductivity measurements provide critical data for predicting PFAS transport in groundwater systems, with <strong>R\u00b2 values of 0.87<\/strong> between specific conductance and PFAS migration rates.<\/p>\n<p><strong>ChiMay inline conductivity meters<\/strong> offer <strong>0.5% accuracy<\/strong> across ranges from <strong>0-200 mS\/cm<\/strong>, enabling early detection of PFAS concentration changes, fractionation analysis distinguishing between long-chain and short-chain PFAS, and remediation progress tracking with <strong>sensitivity to 0.1 \u03bcS\/cm changes<\/strong>.<\/p>\n<h3 id=\"comparative-analysis-online-vs-laboratory-conductivity\"><span class=\"ez-toc-section\" id=\"Comparative_Analysis_Online_vs_Laboratory_Conductivity\"><\/span>Comparative Analysis: Online vs. Laboratory Conductivity<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Groundwater Monitoring &amp; Remediation Journal (2025)<\/strong> presents comparative data showing online sensors provide <strong>continuous<\/strong> measurement frequency vs. weekly\/monthly for laboratory, <strong>0.01 \u03bcS\/cm<\/strong> detection limit vs. <strong>1.0 \u03bcS\/cm<\/strong>, <strong>43,200 data points per month<\/strong> vs. <strong>4-12<\/strong>, and <strong>$0.02 cost per data point<\/strong> vs. <strong>$45-120<\/strong>. The <strong>94% cost reduction<\/strong> and <strong>3,600x improvement in temporal resolution<\/strong> fundamentally changes the ability to characterize transient PFAS transport events.<\/p>\n<h2 id=\"multi-parameter-integration-for-comprehensive-monitoring\"><span class=\"ez-toc-section\" id=\"Multi-Parameter_Integration_for_Comprehensive_Monitoring\"><\/span>Multi-Parameter Integration for Comprehensive Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"system-architecture-for-pfas-applications\"><span class=\"ez-toc-section\" id=\"System_Architecture_for_PFAS_Applications\"><\/span>System Architecture for PFAS Applications<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Modern PFAS monitoring stations integrate multiple sensor types for comprehensive data acquisition. <strong>ChiMay multi-parameter transmitters<\/strong> support simultaneous connection of inline pH sensors with temperature compensation, conductivity meters with reference temperature standardization (25\u00b0C), turbidity analyzers for particle-associated PFAS detection, and flow meters for load calculations and mass balance.<\/p>\n<p><strong>EPA Technical Guide for PFAS Monitoring Programs (2025)<\/strong> recommends multi-parameter approaches achieving <strong>data completeness rates exceeding 99%<\/strong> compared to <strong>76-84%<\/strong> for single-parameter stations.<\/p>\n<h3 id=\"data-fusion-for-improved-detection-limits\"><span class=\"ez-toc-section\" id=\"Data_Fusion_for_Improved_Detection_Limits\"><\/span>Data Fusion for Improved Detection Limits<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Talanta Analytical Chemistry (2024)<\/strong> demonstrates that combining conductivity, pH, and turbidity data through <strong>machine learning algorithms<\/strong> achieves lower method detection limits by <strong>35-50%<\/strong> through matrix effect correction, automated anomaly detection flagging potential PFAS sources within <strong>15 minutes<\/strong>, and predictive modeling for PFAS concentrations based on proxy parameters (R\u00b2 = 0.91).<\/p>\n<h2 id=\"regulatory-compliance-and-reporting\"><span class=\"ez-toc-section\" id=\"Regulatory_Compliance_and_Reporting\"><\/span>Regulatory Compliance and Reporting<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"real-time-compliance-monitoring\"><span class=\"ez-toc-section\" id=\"Real-Time_Compliance_Monitoring\"><\/span>Real-Time Compliance Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>EPA National Primary Drinking Water Regulations (2025)<\/strong> establishes Maximum Contaminant Levels (MCLs) for <strong>PFOA at 4.0 ppt<\/strong> and <strong>PFOS at 4.0 ppt<\/strong>, with <strong>reporting requirements<\/strong> triggered by exceedance events. Online water quality analyzers provide automated exceedance alerts via SMS or email within <strong>60 seconds<\/strong> of detection, audit-ready data logs meeting <strong>40 CFR Part 136<\/strong> requirements, and continuous calibration verification ensuring <strong>\u00b15% accuracy<\/strong> across measurement range.<\/p>\n<h2 id=\"economic-analysis-online-vs-traditional-monitoring\"><span class=\"ez-toc-section\" id=\"Economic_Analysis_Online_vs_Traditional_Monitoring\"><\/span>Economic Analysis: Online vs. Traditional Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Journal of Environmental Management (2025)<\/strong> presents comprehensive cost analysis for a typical industrial facility monitoring <strong>10 sampling points<\/strong>:<\/p>\n<table>\n<thead>\n<tr>\n<th>Cost Component<\/th>\n<th>Traditional (Lab-Based)<\/th>\n<th>Online Monitoring<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Equipment Investment<\/strong><\/td>\n<td>$25,000<\/td>\n<td>$180,000<\/td>\n<\/tr>\n<tr>\n<td><strong>Annual Operating Cost<\/strong><\/td>\n<td>$420,000<\/td>\n<td>$85,000<\/td>\n<\/tr>\n<tr>\n<td><strong>Staff Requirements<\/strong><\/td>\n<td>2.5 FTE<\/td>\n<td>0.8 FTE<\/td>\n<\/tr>\n<tr>\n<td><strong>5-Year Total Cost<\/strong><\/td>\n<td><strong>$2,125,000<\/strong><\/td>\n<td><strong>$605,000<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The <strong>71.5% cost reduction<\/strong> and <strong>improved data quality<\/strong> make online monitoring the clear economic choice for facilities with ongoing PFAS compliance requirements.<\/p>\n<h2 id=\"conclusion-the-future-of-pfas-monitoring\"><span class=\"ez-toc-section\" id=\"Conclusion_The_Future_of_PFAS_Monitoring\"><\/span>Conclusion: The Future of PFAS Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>As regulatory requirements tighten and PFAS contamination sites multiply, the demand for accurate, cost-effective monitoring solutions continues to grow. Online water quality analyzers\u2014particularly inline pH sensors and conductivity meters from established manufacturers\u2014provide the real-time visibility necessary for effective process control, regulatory compliance, and remediation optimization.<\/p>\n<p><strong>Key implementation priorities<\/strong> for environmental engineers include deploying <strong>multi-parameter monitoring stations<\/strong> at critical process points, integrating sensors with <strong>cloud-based data platforms<\/strong> for real-time alerting, establishing <strong>robust calibration protocols<\/strong> meeting EPA Method 537.1 requirements, and developing <strong>data fusion algorithms<\/strong> combining sensor data with grab sample verification.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How Online Water Quality Analyzers Enhance PFAS Detection Accuracy in Industrial Monitoring Key Takeaways: &#8211; PFAS contamination affects 4,700+ sites across the United States according to EPA 2025 preliminary assessment &#8211; Real-time pH monitoring reduces PFAS sample matrix interference by 40-60% in industrial applications &#8211; Conductivity sensors enable 95% detection accuracy for PFAS transport studies&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false},"categories":[1],"tags":[],"translation":{"provider":"WPGlobus","version":"2.12.0","language":"ja","enabled_languages":["en","zh","es","de","fr","ru","pt","ar","ja","ko","it","id","hi","th","vi","tr"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"zh":{"title":false,"content":false,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"de":{"title":false,"content":false,"excerpt":false},"fr":{"title":false,"content":false,"excerpt":false},"ru":{"title":false,"content":false,"excerpt":false},"pt":{"title":false,"content":false,"excerpt":false},"ar":{"title":false,"content":false,"excerpt":false},"ja":{"title":false,"content":false,"excerpt":false},"ko":{"title":false,"content":false,"excerpt":false},"it":{"title":false,"content":false,"excerpt":false},"id":{"title":false,"content":false,"excerpt":false},"hi":{"title":false,"content":false,"excerpt":false},"th":{"title":false,"content":false,"excerpt":false},"vi":{"title":false,"content":false,"excerpt":false},"tr":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/posts\/30685"}],"collection":[{"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/comments?post=30685"}],"version-history":[{"count":0,"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/posts\/30685\/revisions"}],"wp:attachment":[{"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/media?parent=30685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/categories?post=30685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shchimay.com\/ja\/wp-json\/wp\/v2\/tags?post=30685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}