My New Soy Wax Produces More Frosting Than the Last Batch With the Same Formula — How Do I Determine Whether the Raw Material Changed?

The attribution problem

Frosting is the white, crystalline bloom that forms on the surface and sides of natural waxes, especially soy. It happens because soy wax can crystallise in more than one form, and over time some of it rearranges into a more stable crystal that scatters light and looks white. It is a known property of the material rather than a defect in itself, and it is influenced by the wax, the fragrance, the pour temperature, the cooling rate, the jar temperature and the room the candles cure in.

That list is exactly why attribution is hard. When frosting increases after you open a new lot, the lot is the most visible change, so it takes the blame. But if the new lot arrived in a different month, the workshop may be cooler or more humid. If you recently swapped a thermometer, your pour temperature may have shifted without anyone noticing. If jars came from a new delivery, they may be sitting somewhere colder. Any of those can increase frosting with the old lot too.

The goods-in question is therefore precise: would the old lot frost this much today, in this room, with this process? The only way to answer it is to make old-lot and new-lot candles side by side, now, and watch them develop together.

The retained-sample comparison

This is where a retained sample of the previous lot earns its keep. If you kept a sealed portion when the old lot arrived — or you still have part of the last bag — you have the control that makes attribution possible. Without it, you are comparing today's candles with memories and old photos made in a different season, and that comparison cannot separate lot from conditions.

The blind scoring matters more than people expect. Once you believe the new lot frosts more, you will see more frost on any jar you know is from the new lot. A simple scale you define in advance keeps judgement honest: 0 for no visible frost, 1 for faint bloom visible only at an angle, 2 for clear patches, 3 for heavy frost across the surface or sides.

Reading the outcome matrix

When the scores are in, the pattern tells you where the frosting is coming from. The table below sets out the four patterns you are most likely to see.

The second row is the one people least expect and most often find. If the old lot, the one you trusted, frosts just as much as the new lot when made today, the lot change was a coincidence. Rejecting the new bag would not have fixed anything, and the next delivery would have "caused" the same frosting all over again.

Worked example: the value of a retained sample

Suppose you buy CSI 464 by the 10 kg bag at ₹5,074.00. As a suggested starting point, you keep back 500 g of every lot, sealed and labelled, until the next two lots have been approved. That retained portion is worth 0.5 × (₹5,074.00 ÷ 10) = 0.5 × ₹507.40 = ₹253.70 of wax per lot.

Now compare it with what the retained sample lets you avoid. A 10 kg bag at 8% in 200 g candles makes 10,000 ÷ 184 = 54 candles of 184 g wax each (rounded down). Without a retained control, a frosting complaint leaves you two bad choices: reject a bag that may be perfectly good, or keep producing from a bag that may be the cause. Either way you are guessing about ₹5,074.00 of wax plus the jars, oil and labour of 54 candles. With the retained sample, eight test jars and two weeks of observation give you an answer.

There is a cost to skipping the control that does not show on any invoice. If you change wax type, add an additive or alter your pour temperature to fix a frosting problem that was really seasonal, you now carry a new formula into cooler and warmer months alike, and it has not been tested in either. The next season can undo the fix and leave you with a second, unexplained change. Retained samples also answer questions you have not thought of yet. The same 500 g lets you run a colour, odour, softness or melt comparison later, if a customer query comes in months after the lot is used up.

Decision, limits and the supplier conversation

If the side-by-side points clearly at the new lot, keep it in quarantine and talk to the supplier with evidence: your blind scores by day, photos of old and new jars together, the invoice number, the date received and your process conditions. For CSI, that is on WhatsApp at +91 7397976926. CSI does not publish batch numbers, crystal or frosting specifications, or per-lot tolerances, so describe what you measured and record the answer. A lot that genuinely frosts worse under identical conditions goes back as a question whoever supplied it, including us.

If the old lot frosts as much as the new, accept the new lot and move your attention to the workshop: pour temperature checked by a second thermometer, jar temperature, cooling rate and the curing room at night. If the side-by-side is inconclusive, a conditional release is reasonable for products where frost shows least — coloured or opaque jars — while you run a second comparison.

Be honest about the limit of the method, too. If you have no retained sample of the old lot, you cannot fully attribute this frosting. You can still rule process in or out by making a small batch today with tightly controlled conditions and seeing whether the frosting persists. And you can start keeping retained samples from this lot onwards, so the next time the question comes up, you can answer it.

Where this page fits

CSI already has guides that cover parts of this question. This page covers the goods-in check for the question above; these go deeper on the rest:

Three things to buy for this job

Frequently asked questions