The same technologies, different questions. What changes from one industry to the next: the critical variable, the regulatory constraint, and what you are allowed to do to the sample.
For each industry: the real operations, what can be measured in-line, and what it changes.
Pharma
Oral solid dosage, liquid and sterile forms. Content uniformity, coating, drying endpoint, under GMP and data integrity constraints.
The gain: cycle time, investigations, quarantine. A drying run to a fixed duration
Drug substance
Reaction, crystallisation, filtration, drying. Conversion, polymorphism, residual moisture, within the ICH Q11 and ICH Q7 frame.
The gain: step yield, cycle time. A crystallisation followed during the operation
Biopharma and biotech
Cell culture, tangential flow filtration, formulation. Medium composition, (nano)particle size and aggregation, followed continuously without sampling.
The gain: a decision during the culture, ahead of the off-line result. What a control costs
Chemicals and polymers
Synthesis, crystallisation, polymerisation, forming. Reaction conversion, supersaturation, polymer identification, black plastics included.
The gain: off-spec, cycle time, utilities. A continuous process in an opaque volume
Cosmetics
Emulsions, suspensions, filling. Stability, droplet size, identity checking of raw materials on receipt.
The gain: batch-to-batch consistency, rework avoided. Raw material sorting at goods-in
Agriculture, food and biomass
Drying, blending, conveying, finished product testing. Moisture, fat, product changeover on a shared line. The same materials and the same measurements when the purpose turns to energy: anaerobic digestion.
The gain: material yield, drying energy, scrap. Contents on fillets of varying thickness
What carries across from one industry to another, and what does not
The physics carries across: water absorbs at the same band in a pharmaceutical or a food powder. The model does not: it is built on a given matrix and range, which is why calibrating by family pays. The regulatory constraint, finally, sets the pace: documentation, qualification, and what the supplier brings to the file.
Your industry is not the subject. Your process is.
Describe the operation and the variable to steer: we will tell you whether an in-line measurement answers it, which one, and what it asks for, including if the answer points elsewhere.