<?xml version="1.0"?>
<oembed><version>1.0</version><provider_name>AlpHa Measure</provider_name><provider_url>https://alpha-measure.com/zh</provider_url><title>Standard Addition Method</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="BsNdUk4ZnB"&gt;&lt;a href="https://alpha-measure.com/zh/standard-addition-method-2/"&gt;&#x6807;&#x51C6;&#x52A0;&#x6CD5;&#x6CD5;&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://alpha-measure.com/zh/standard-addition-method-2/embed/#?secret=BsNdUk4ZnB" width="600" height="338" title="&#x300A; Standard Addition Method &#x300B;&#x2014;AlpHa Measure" data-secret="BsNdUk4ZnB" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&amp;&amp;d.addEventListener&amp;&amp;"undefined"!=typeof URL&amp;&amp;(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&amp;&amp;!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i&lt;o.length;i++)o[i].style.display="none";for(i=0;i&lt;a.length;i++)s=a[i],e.source===s.contentWindow&amp;&amp;(s.removeAttribute("style"),"height"===t.message?(1e3&lt;(r=parseInt(t.value,10))?r=1e3:~~r&lt;200&amp;&amp;(r=200),s.height=r):"link"===t.message&amp;&amp;(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&amp;&amp;n.host===r.host&amp;&amp;l.activeElement===s&amp;&amp;(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r&lt;s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://alpha-measure.com/wp-includes/js/wp-embed.min.js
&lt;/script&gt;</html><thumbnail_url>https://alpha-measure.com/wp-content/uploads/2023/03/analyte-AMS-1.jpeg</thumbnail_url><thumbnail_width>655</thumbnail_width><thumbnail_height>200</thumbnail_height><description>In analytical chemistry, a calibration equation generally serves in determining the unknown concentration of an analyte. Developing the equation entails evaluating the sensor&#x2019;s response to a series of standards with known concentrations of the same analyte. The calibration equation method normally requires an identical matrix for both sample and standards without interference with the analyte signal. Whereas within complex or unknown sample matrices such as biological fluids, liquids with heavy metals, and soils etc., components other than the analyte itself can interfere with the analyte signal. A name for this occurrence is the matrix effect. Thus, the direct comparison between sample and standards becomes invalid. Adopting the standard addition method reduces the discrepancies between samples and standard, thus, ensuring better accuracy in the analysis of such samples. The standard addition method, a.k.a. &#x201C;spiking&#x201D;, can also account for similar matrix effects in the calibration equation by adding known amounts of analytes to the samples. In doing so, a change in the sensor response between a sample and a spiked sample is assumed to be due only to the change in the analyte concentration.</description></oembed>
