{"id":903861,"date":"2026-07-24T08:33:15","date_gmt":"2026-07-24T08:33:15","guid":{"rendered":"https:\/\/chemcrete.com.pk\/?p=903861"},"modified":"2026-07-24T08:33:15","modified_gmt":"2026-07-24T08:33:15","slug":"what-exactly-is-a-peptide-calculator-and-why-do-you-need-one","status":"publish","type":"post","link":"https:\/\/chemcrete.com.pk\/index.php\/2026\/07\/24\/what-exactly-is-a-peptide-calculator-and-why-do-you-need-one\/","title":{"rendered":"What Exactly Is a Peptide Calculator and Why Do You Need One"},"content":{"rendered":"<p>Peptide Calculator: How to Accurately Measure and Mix Your Peptide Dosages<br \/>\n<img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width=\"604px\" alt=\"Peptide Calculator\" src=\"data:image\/jpg;base64,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\"\/><\/p>\n<p>A <strong>Peptide Calculator<\/strong> is a precise digital tool that instantly determines the exact dosage and reconstitution volume for any peptide compound. By inputting your vial\u2019s <a href='https:\/\/www.peptidescalculator.org\/'>Peptide Calculator<\/a> total milligrams and desired dose, it eliminates guesswork, ensuring each injection delivers the correct amount for your protocol. This streamlines preparation, saves time, and maximizes the safety and efficacy of your research or personal regimen.<\/p>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"565\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/kaaU2xxVPbo\" frameborder=\"0\" alt=\"Peptide Calculator\" allowfullscreen><\/iframe>\n<\/div>\n<h2>What Exactly Is a Peptide Calculator and Why Do You Need One<\/h2>\n<p>A peptide calculator is a specialized tool that determines the exact dosage and reconstitution volume for lyophilized peptide powders based on your vial size, desired dose, and the volume of bacteriostatic water added. You need one because peptide vials often arrive with varying milligram amounts, and a calculator prevents dangerous underdosing or overdosing by converting raw mass into precise insulin syringe units. <strong>How does a peptide calculator ensure accuracy?<\/strong> It uses the simple formula: desired dose (mg) divided by total vial mg, multiplied by diluent volume (mL), giving your draw-up in mL or units. This removes guesswork, ensuring your research protocol stays consistent across every injection.<\/p>\n<h3>Breaking down the core function: dosage and reconstitution math simplified<\/h3>\n<p>At its core, a peptide calculator eliminates manual error by automating the conversion from raw peptide mass and reconstitution fluid volume into a precise per-unit dosage. The central function simplifies the <strong>dosage and reconstitution math<\/strong> into a three-step process: you input the vial\u2019s peptide amount (usually in milligrams), specify the bacteriostatic water added (in milliliters), and define the desired single dose (in micrograms or milligrams). The calculator then divides the total concentration (mg\/mL) by syringe unit volume to output the exact injection mark. This removes the need for cross-multiplication and unit conversion, ensuring you draw the correct amount every time without guesswork.<\/p>\n<ul>\n<li>It converts milligrams of peptide per milliliter of liquid into a usable concentration value.<\/li>\n<li>It calculates syringe units (e.g., on a 1mL insulin syringe) based on that concentration and your target dose.<\/li>\n<li>It accounts for variations in vial size and added fluid volume to maintain dose consistency.<\/li>\n<li>It instantly recalculates if you change the reconstitution fluid amount, preventing dosing errors.<\/li>\n<\/ul>\n<h3>Who benefits most from using this tool<\/h3>\n<p>The individuals who benefit most from using a peptide calculator are <strong>biochemistry researchers and peptide synthesis technicians<\/strong> who require precise molecular weights for reconstitution. Without this tool, calculating correct solvent volumes to achieve a desired concentration\u2014such as for a cell culture assay or injection\u2014is prone to human error. These users rely on the calculator to convert peptide mass and purity into accurate dosing parameters, preventing wasted material or skewed experimental results. <mark>Reconstitution accuracy<\/mark> is critical for anyone handling lyophilized peptides.<\/p>\n<p><strong>Q: Who benefits most from using a peptide calculator?<\/strong><br \/>A: Researchers and lab technicians who need to reconstitute peptides with exact, error-free dosing for experiments or therapeutic formulations.<\/p>\n<h3>How it differs from general dilution or conversion calculators<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"600px\" alt=\"Peptide Calculator\" src=\"data:image\/jpeg;base64,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\"\/><\/p>\n<p>Unlike general dilution or conversion calculators that handle arbitrary units like milliliters or grams, a peptide calculator is purpose-built for <strong>reconstitution and dosing of research peptides<\/strong>, which requires accounting for the specific vial mass (e.g., 5 mg or 10 mg) and the bacteriostatic water volume added. Standard tools lack the contextual logic for peptide-specific metrics like micrograms per injection or the burp factor from air displacement in insulin syringes. Where a general calculator might output a simple ratio, a peptide calculator factors in unit conversions (e.g., mg to IU) and suggests accurate syringe tick marks, eliminating the guesswork that ruins sensitive peptide batches through over-dilution or under-dosing.<\/p>\n<p>Below is a comparison showing how the peptide calculator differs operationally from generic tools:<\/p>\n<table>\n<tr>\n<th>Aspect<\/th>\n<th>General Dilution\/Conversion Calculator<\/th>\n<th>Peptide Calculator<\/th>\n<\/tr>\n<tr>\n<td>Input metrics<\/td>\n<td>Accepts any volume or mass (e.g., 100 mL water, 50 g salt)<\/td>\n<td>Requires specific peptide mass (mg) and bacteriostatic water volume (mL)<\/td>\n<\/tr>\n<tr>\n<td>Output focus<\/td>\n<td>Provides ratio or final concentration in generic units (%, ppm)<\/td>\n<td>Delivers per-injection dose in mcg or IU, plus syringe tick marks<\/td>\n<\/tr>\n<tr>\n<td>Error handling<\/td>\n<td>No correction for real-world syringe mechanics (e.g., dead space)<\/td>\n<td>Adjusts for residual volume and air displacement in insulin syringes<\/td>\n<\/tr>\n<\/table>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"Peptide Calculator\" src=\"data:image\/jpg;base64,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\"\/><\/p>\n<h2>Key Features That Make a Peptide Calculator Reliable<\/h2>\n<p>A reliable peptide calculator hinges on precise molecular weight computation, using accurate atomic masses for each amino acid residue. It must automatically account for C-terminal and N-terminal modifications, including free ends or common capping groups, to prevent dosage errors. The tool should also integrate a robust reconstitution solvent calculator, converting peptide mass into molarity (e.g., mM) based on the user\u2019s input for liquid volume. Critically, it must handle salt counterions and water content from custom peptide sequences, which directly affect net peptide content. Without this, dosage calculations for research protocols become unreliable. Look for a calculator that explicitly displays these adjustment factors, as this <strong>accurate molecular weight calculation<\/strong> is the core determinant of a <strong>dependable peptide calculator<\/strong>.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"603px\" alt=\"Peptide Calculator\" src=\"data:image\/png;base64,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\"\/><\/p>\n<h3>Support for multiple units: milligrams, micrograms, milliliters, and international units<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"607px\" alt=\"Peptide Calculator\" src=\"data:image\/jpeg;base64,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\"\/><\/p>\n<p>A reliable peptide calculator must seamlessly handle <strong>multiple unit conversions<\/strong>\u2014milligrams, micrograms, milliliters, and international units\u2014to prevent costly dilution errors. Instead of forcing you to pre-convert values manually, it automatically adjusts calculations when you toggle between weight (mg, mcg) and volume (mL), ensuring reconstitution accuracy. For IU-based peptides, the tool should factor in the specific potency of the vial, translating dosage instructions into precise syringe draws. This eliminates guesswork when switching between research protocols that use different measurement systems.<\/p>\n<ul>\n<li>Instantly recalculates dosage when switching from micrograms to milliliters.<\/li>\n<li>Converts international units to exact syringe volume based on peptide potency.<\/li>\n<li>Allows mixing weight (mg) and volume (mL) in a single batch entry.<\/li>\n<\/ul>\n<h3>Built-in bacteriostatic water volume adjustments<\/h3>\n<p>For reliable reconstitution, a peptide calculator must include <strong>built-in bacteriostatic water volume adjustments<\/strong>. This feature automatically accounts for the slight overfill in standard vials, preventing dilution errors. Instead of manually guessing how much liquid to add, the calculator adjusts the target volume to hit your exact dose. It also compensates for the water\u2019s density and the syringe\u2019s dead space, so your final solution has the precise strength you intended. This eliminates messy math and guesswork, making your prep both safer and more consistent every time.<\/p>\n<h3>Pre-filled vial sizes and syringe types for quick entry<\/h3>\n<p>A reliable peptide calculator streamlines reconstitution by featuring <strong>pre-configured vial sizes and syringe options<\/strong> for instant selection. Instead of manual entry, dropdowns for common vial volumes (2mg, 5mg, 10mg) and syringe types (1mL, 0.5mL, insulin 100U) reduce errors and save time. This quick-entry system ensures accurate dosing from the start.<\/p>\n<ul>\n<li>Pre-set vial sizes eliminate the need to manually type milligrams of peptide powder.<\/li>\n<li>Syringe type selection auto-calculates units based on the chosen barrel volume.<\/li>\n<li>Dropdown menus for needle gauge prevent mismatched fluid measurements.<\/li>\n<li>Instantly updates the reconstitution formula when switching between U-100 and U-40 syringes.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"609px\" alt=\"Peptide Calculator\" src=\"data:image\/jpeg;base64,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\"\/><\/p>\n<h2>Step-by-Step Guide to Using This Tool Correctly<\/h2>\n<p>To use the Peptide Calculator correctly, begin by entering the total peptide dosage in milligrams (mg) as specified in your protocol. Next, input the volume of bacteriostatic water in milliliters (mL) you plan to add for reconstitution. The tool then calculates the concentration in mg per mL. Divide your desired single dose in mg by this concentration to find the precise injection volume in mL. <strong>Always double-check your inputs for the peptide\u2019s mass and the solvent volume<\/strong>, as reversing these values produces an incorrect concentration. <strong>Use a fresh syringe to measure the calculated volume exactly<\/strong>, discarding the needle after a single use. <em>Even a minor arithmetic oversight can lead to a dosing error that <strong>compromises research accuracy<\/strong>.<\/em> Finally, verify your result against a second calculation method for safety.<\/p>\n<h3>Inputting your peptide vial\u2019s total mass<\/h3>\n<p>Begin by locating the total mass printed on your peptide vial\u2019s label, typically expressed in milligrams (mg). Input this exact number into the designated <strong>total peptide mass<\/strong> field of the Peptide Calculator. This baseline value determines every subsequent dilution and dosage calculation. <em>Double-check that you have not entered the powder\u2019s net weight inclusive of the vial\u2019s tare weight<\/em>. Common mistakes include misreading \u201c5 mg\u201d as \u201c5 g\u201d or confusing the total mass with the vial\u2019s fill volume. Use the table below to avoid unit errors.<\/p>\n<table>\n<tr>\n<th>Mass to Input<\/th>\n<th>Common Error<\/th>\n<th>Correct Action<\/th>\n<\/tr>\n<tr>\n<td>5 mg<\/td>\n<td>Entering 5,000 mg<\/td>\n<td>Input \u201c5\u201d<\/td>\n<\/tr>\n<tr>\n<td>10 mg<\/td>\n<td>Entering \u201c10 g\u201d<\/td>\n<td>Select \u201cmg\u201d unit<\/td>\n<\/tr>\n<\/table>\n<h3>Selecting the correct amount of reconstitution liquid<\/h3>\n<p>When using the Peptide Calculator, the amount of reconstitution liquid you choose directly impacts your final dose accuracy. Add too little bac water, and your solution becomes too concentrated, making tiny doses tricky to measure exactly. Add too much, and you might need to inject more volume than comfortable. Always start your calculation by entering the exact milliliters of bacteriostatic water you plan to use\u2014the tool then adjusts for <strong>precise reconstitution ratios<\/strong>. A common starting point is 1\u20132 mL for a standard 5 mg vial, but letting the calculator handle the math ensures every pull from the syringe matches your target dose, not guesswork.<\/p>\n<table>\n<tr>\n<th>Reconstitution Volume<\/th>\n<th>Effect on Dose Precision<\/th>\n<\/tr>\n<tr>\n<td>Low (e.g., 0.5 mL)<\/td>\n<td>High concentration\u2014small measurement errors cause big dose swings<\/td>\n<\/tr>\n<tr>\n<td>Moderate (e.g., 1\u20132 mL)<\/td>\n<td>Balanced\u2014easier to draw accurate micro-doses<\/td>\n<\/tr>\n<tr>\n<td>High (e.g., 3+ mL)<\/td>\n<td>Low concentration\u2014requires larger injection volume, but fine-tuning is softer<\/td>\n<\/tr>\n<\/table>\n<h3>Reading the output: dose per syringe mark in insulin units<\/h3>\n<p>After calculating your dose, the <strong>insulin unit syringe reading<\/strong> becomes your precise visual guide. The output directly correlates a peptide amount, measured in milligrams, to the corresponding hash mark on a U-100 syringe. For example, if the calculator displays \u201c4 IU,\u201d you draw the solution exactly to the fourth unit line on the barrel. Never guess between marks; the field\u2019s hydration ratio ensures each syringe increment delivers the exact micrograms intended. Align the plunger\u2019s top ring with the correct line under good light. This direct, unit-for-unit match eliminates dosing errors and makes every injection reproducible and safe.<\/p>\n<h2>Common Mistakes to Avoid When Working with These Calculators<\/h2>\n<p>When using a <strong>peptide calculator<\/strong>, a common mistake is inputting the wrong <strong>dosage unit<\/strong>, like mixing up micrograms (mcg) with milligrams (mg), which can drastically alter the result. Another frequent error is forgetting to account for <strong>reconstitution volume<\/strong>, leading to an incorrect final concentration. Always double-check your <strong>total bacteriostatic water<\/strong> added, not just the peptide amount. Users also often skip verifying the <strong>peptide mass<\/strong> in the vial, assuming it matches the label without checking. <mark>Most critically, failing to reset the calculator between different peptides<\/mark> can cross-contaminate your last batch of calculations. Stick to one peptide session at a time for accuracy.<\/p>\n<h3>Mixing up microgram and milligram values<\/h3>\n<p>Mixing up microgram (<mark>mcg<\/mark>) and milligram (mg) values is a critical error when using a peptide calculator, as it instantly alters the calculated dose by a factor of 1,000. This mistake often leads to dangerously under- or overdosing reconstituted peptides. To prevent this, always verify the unit specified in your protocol before entering it into the calculator. Follow this clear sequence: first, confirm your vial\u2019s stated peptide mass unit; second, ensure the calculator\u2019s input field matches that unit; third, double-check the final output\u2019s label. Never assume the default unit is correct. Always treat <strong>microgram-milligram distinction<\/strong> as a non-negotiable check before proceeding.<\/p>\n<h3>Forgetting to account for waste volume in the needle hub<\/h3>\n<p>Forgetting to account for waste volume in the needle hub is a critical error that skews your entire dosage calculation. The hub holds a small, fixed amount of reconstitution liquid or solution after injection, typically 0.05\u20130.1 mL, which never reaches your body. When using a <strong>peptide calculator<\/strong>, ignoring this dead space means each dose is slightly weaker than intended, compounding inaccuracy over multiple injections. To correct this, follow this sequence: <\/p>\n<ol>\n<li>Measure your syringe\u2019s hub volume by drawing water and expelling it, then subtracting the remaining liquid from your initial fill.<\/li>\n<li>Add this hub value to your total desired dose volume in the calculator.<\/li>\n<li>Always reconstitute your peptide with an extra buffer equal to the hub volume to maintain concentration.<\/li>\n<\/ol>\n<p> This straightforward step prevents under-dosing and wasted research material.<\/p>\n<h3>Using incorrect water volumes for very small vials<\/h3>\n<p>Failing to adjust water volumes for very small vials sabotages peptide reconstitution. A standard calculation for a 10mg vial becomes dangerously concentrated when applied to a 2mg vial, making accurate dosing nearly impossible with standard syringes. You must input the exact bacteriostatic water amount that matches your tiny vial\u2019s size, not a generic ratio. <strong>Using incorrect water volumes for very small vials<\/strong> forces you to measure minuscule, error-prone injections, dramatically increasing the risk of overdosing or underdosing. Always recalculate the solvent volume to ensure a measurable, safe concentration for your device.<\/p>\n<h2>Frequently Asked Questions About Using This Dosage Tool<\/h2>\n<p>When using the Peptide Calculator, the most common question is how to input your vial\u2019s total milligrams and the bacteriostatic water volume. Users often ask if the tool accounts for peptide purity\u2014it does not, so always verify your source\u2019s specifications. Another frequent query concerns converting units to milliliters; the calculator handles this automatically, but <strong>double-check your syringe markings<\/strong> to avoid dosing errors. Many ask whether to measure before or after reconstitution\u2014<strong>always calculate based on dry peptide mass<\/strong>, then add the diluent. <em>Remember that the tool assumes perfect mixing, so gentle swirling is essential for accuracy.<\/em> Finally, if you switch between IU, mg, and mcg, the interface updates instantly, ensuring seamless adjustments for various research protocols.<\/p>\n<h3>Can I use it for any peptide type or research compound<\/h3>\n<p><strong>Can I use it for any peptide type or research compound?<\/strong> Yes, the Peptide Calculator is designed to work with any peptide type or research compound where you know the dosage in milligrams, the vial volume in milliliters, and the reconstitution liquid volume. You simply input these values, and the tool calculates the precise injection volume. It supports all common peptide forms, including lyophilized powders and pre-mixed solutions, as long as the concentration is consistent. However, the calculator cannot account for variations in purity, salt content, or peptide-specific binding affinities; always verify your <strong>peptide calculator dosage<\/strong> against the specific compound&#8217;s known conversion factors.<\/p>\n<h3>What if my syringe is marked in different units than the calculator<\/h3>\n<p>If your syringe is marked in different units than the calculator, you must first verify the syringe\u2019s scale\u2014typically milliliters (mL) or insulin units (U-100). <strong>Manually convert your dosage using a ratio<\/strong>; for instance, if the calculator outputs 0.5 mL but your syringe uses insulin units (where 1 mL equals 100 units), you would draw 50 units. <em>Always cross-check the syringe\u2019s total capacity against the calculator\u2019s output to avoid multiplying by the wrong factor.<\/em> Never estimate; instead, recalculate the dose by dividing the required volume by the syringe\u2019s unit per mL value.<\/p>\n<blockquote><p>When your syringe and calculator use mismatched units, the key step is to convert by dividing the prescribed volume by the syringe\u2019s specific unit-per-mL ratio\u2014never guess.<\/p><\/blockquote>\n<h3>How do I double-check the result without a second device<\/h3>\n<p>To double-check your dosage result without a second device, simply recalculate using the same numbers but reverse the order. For example, <strong>perform a manual reverse calculation<\/strong> by dividing the total peptide volume by the dosage you need. Follow these steps:<\/p>\n<ol>\n<li>Note your original desired dose (e.g., 250 mcg).<\/li>\n<li>Divide the total bacteriostatic water (e.g., 2 mL) by the total peptide in the vial (e.g., 5 mg).<\/li>\n<li>Multiply that number by your desired dose\u2014if it matches the syring units you got initially, you\u2019re solid.<\/li>\n<\/ol>\n<p>You can also re-enter your values from scratch on the calculator, taking care to avoid typos. Simple arithmetic on scratch paper works too\u2014cross-check your result by doing the calculation in a different sequence every time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Peptide Calculator: How to Accurately Measure and Mix Your Peptide Dosages A Peptide Calculator is a precise digital tool that instantly determines the exact dosage and reconstitution volume for any peptide compound. By inputting your vial\u2019s Peptide Calculator total milligrams and desired dose, it eliminates guesswork, ensuring each injection delivers the correct amount for your<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-903861","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/posts\/903861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/comments?post=903861"}],"version-history":[{"count":1,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/posts\/903861\/revisions"}],"predecessor-version":[{"id":903862,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/posts\/903861\/revisions\/903862"}],"wp:attachment":[{"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/media?parent=903861"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/categories?post=903861"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/chemcrete.com.pk\/index.php\/wp-json\/wp\/v2\/tags?post=903861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}