UV vis spectroscopy

UV-Vis Spectroscopy – The Everyday Hero of Pharma Analysis

In pharmaceutical science, UV-Vis Spectroscopy is often the first-choice technique for drug testing because it’s simple, cost-effective, and fast.

:sparkles: Principle: Based on Beer-Lambert’s Law – absorbance is directly proportional to concentration.
:sparkles: Wavelength Range: 200–400 nm (UV region), 400–800 nm (visible region).

:pill: Applications in Pharma:

Quantification of active pharmaceutical ingredients (APIs)

Purity checks & dissolution studies

Stability & degradation analysis

Impurity detection in raw materials

Content uniformity for tablets/capsules

Protein quantification in biologics (e.g., monoclonal antibodies)

:white_check_mark: Advantages: Quick, reliable, non-destructive, minimal sample prep
:cross_mark: Limitations: Less selective; spectral overlap or excipients may interfere

:light_bulb: Fun fact: Many antibiotics, proteins, and nucleic acids absorb strongly at 260–280 nm, making this range especially popular in pharma analysis!

:backhand_index_pointing_right: Question for you: When developing a UV method, what’s been your biggest challenge — sample preparation or interference from excipients?

MBH/PS

6 Likes

It’s excipients interference and also sample preparation. Based on sample preparation the interference will happen.

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This is a fantastic post that breaks down a complex topic into simple terms. The article does a great job of explaining how UV-Vis spectroscopy works and its vital role in the pharmaceutical industry for ensuring drug quality and safety.

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UV-Vis spectroscopy is a powerful analytical tool that helps in identifying compounds and studying their concentration by measuring light absorption—widely used in pharmaceuticals, biochemistry, and environmental sciences.

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Both sample preparation and interference with excipients are equally biggest challenge. Interference with excipients depends on sample preparation.

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Informative.

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Of course simple preparation but choosing the right excipient is challenging

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According to sample interference.

Informative