Sublimation comes up often in conversation and rarely with the context attached. Here we lay out the basics in order, then work through the practical considerations.
Last reviewed on 2026-03-27. Where a claim depends on a specific study, the study is described rather than over-claimed.
Lyophilization, also called freeze-drying, is a dehydration process in which a solvent, usually water, is frozen and then removed by sublimation under reduced pressure. The method preserves heat-sensitive materials that would degrade in conventional drying. Large-scale use grew during the mid-twentieth century for blood plasma and antibiotics, and it later expanded to vaccines, enzymes, foods, and advanced materials. The process produces a dry, porous solid that usually reconstitutes rapidly. It is distinct from simple evaporation because the solvent bypasses the liquid phase during primary removal.
The process generally proceeds in three stages: freezing, primary drying, and secondary drying. During freezing, controlled cooling converts water into ice and may also crystallize or vitrify solutes. In primary drying, the pressure is lowered below the triple point, and heat is supplied so ice sublimes directly to vapor. Secondary drying removes water that remains bound to the solid matrix, yielding a low final water content. Product temperature must stay below the collapse or glass transition temperature to maintain structure. Cycle design therefore balances shelf temperature, chamber pressure, and time.
Freeze-drying is used for materials whose activity or structure depends on low temperature and low water content. Examples include certain biologics, diagnostic reagents, starter cultures, coffee, and porous inorganic precursors. The dried product forms a cake whose porosity aids rapid wetting and dissolution. Main drawbacks are high energy use, long cycle times, and sensitivity to formulation and equipment variation. Questions remain about how freezing rates and ice morphology affect batch uniformity, especially when moving from laboratory to production scale.
A typical cycle begins with freezing, which fixes the material into a solid and determines ice crystal size. Primary drying then raises heat under vacuum so ice sublimes, often near or below the collapse temperature of the formulation. Secondary drying removes bound water that remains after ice is gone, usually by gently warming the product. Each stage balances heat input against pressure to avoid melting or structural damage. Temperature probes and pressure sensors guide the transition between stages.
In practice, lyophilization is slower and more energy intensive than simple drying. Cycle times can range from hours to several days depending on load, container, and formulation. Amorphous materials may require excipients that help preserve structure during freezing and drying. The method is widely used for biological materials, pharmaceuticals, and foods where heat drying would cause unacceptable change. Open questions remain about scaling cycles between laboratory and production equipment, and this gap affects technology transfer.
Lyophilization removes water by freezing a material and then lowering pressure so ice changes directly to vapor. The process relies on sublimation, the phase transition from solid to gas without an intermediate liquid state. Because the material remains frozen during primary drying, the structure often stays porous. This porous matrix can rehydrate quickly when water is added back. The low pressure also allows vapor to leave the solid matrix without boiling.
| Property | Value | Notes |
|---|---|---|
| Common names | Lyophilization; freeze-drying | Terms used interchangeably. |
| Phase change | Sublimation | Ice converts directly to vapor under vacuum. |
| Typical chamber pressure | 0.01–1 mbar | Below the triple point of water. |
| Primary drying product temperature | −40 to −10 °C | Kept below collapse or glass transition temperature. |
| Water content after drying | 0.5–3% w/w | Varies with formulation and cycle. |
Secondary drying removes bound water that remains after ice sublimation. Shelf temperature is raised gradually while pressure remains low, reducing water content to a target range. Over-drying can cause brittleness or electrostatic issues, while under-drying affects stability. The endpoint is often judged by pressure rise tests, temperature measurements, or water content analysis. Scale-up depends on matching heat and mass transfer across equipment sizes. Small changes in shelf temperature or pressure can alter cycle length substantially.
Lyophilization, or freeze-drying, removes water from a material by freezing it and then lowering pressure so ice changes directly to vapor. The process relies on sublimation, the phase transition from solid to gas without an intervening liquid state. It is used for heat-sensitive materials that would degrade in conventional drying. The three stages are freezing, primary drying, and secondary drying, each with distinct temperature and pressure requirements. In practice, cycle design balances these variables.
Freezing determines ice crystal structure and pore size, which affect drying speed and product uniformity. Rapid freezing creates small crystals, while slow freezing creates larger crystals and often faster sublimation. During primary drying, chamber pressure is held below the vapor pressure of ice, and shelf temperature supplies heat for sublimation. The ice front recedes, leaving a porous matrix. Thermal limits such as collapse and eutectic temperatures set safe boundaries for formulation. These limits vary with solute composition and concentration.
Freezing is the first stage and sets the ice structure that later becomes the pore network. The formulation is cooled below its freezing point, often with a controlled ramp, and solutes concentrate as ice forms. Primary drying then lowers chamber pressure and supplies heat to sublime the ice. The product temperature must stay below its collapse or eutectic temperature to prevent structural loss. Secondary drying raises the temperature modestly to remove bound water and achieve a low residual moisture.
A freeze-dryer consists of a vacuum chamber, temperature-controlled shelves, a condenser, and a vacuum pump. Vials, ampoules, or bulk trays hold the product during the cycle. The condenser traps water vapor as ice at a temperature lower than the product. Cycle development balances shelf temperature, chamber pressure, and time. Scale-up can be difficult because heat and mass transfer change with equipment size, so process analytical tools and conservative validation are often used.
In 1988, Bio-Synthesis helped in the synthesis and characterization of a new class of peptides with novel antimicrobial properties discovered at the NIH. In 1989, OCS became incorporated as Bio-synthesis, Inc. and moved its laboratories to Lewisville, Texas. In 1993, Bio-Synthesis was one of the first peptide synthesis companies to acquire a Finnigan MALDI-TOF mass spectrometer for the accurate quality control of synthetic peptides produced in-house. In 1994, Bio-synthesis pioneered the use of molecular methods for HLA analysis which is applied in organ matching for transplantation purposes. Later in the same year Bio-Synthesis held the first major HLA DNA typing workshop with the attendance of HLA laboratory directors from around the country in conjunction with University of North Texas in Denton Texas.
ADAM (A Database of Anti-Microbial peptides) Archived 2015-06-17 at the Wayback Machine at ntou.edu.tw AntiFP Prediction of antifungal peptides AntiMPmod Prediction of antimicrobial potential of modified peptides Antimicrobial+Cationic+Peptides at the U.S. National Library of Medicine Medical Subject Headings (MeSH) AntiTbPred Prediction of anti-tuberculosis peptides Antimicrobial Peptide Database Archived 2011-07-20 at the Wayback Machine at University of Nebraska Medical Center Antimicrobial Peptide Scanner Deep Learning based AMP prediction server AntiTbPdb Anti Tubercular Peptide Database BioPD[link removed] at Peking University Health Science Center CAMP:Collection of Anti-Microbial Peptides at National Institute for Research in Reproductive Health (NIRRH) DBAASP - Database of Antimicrobial Activity and Structure of Peptides] LAMP at Fudan University PeptideLocator Prediction of functional peptides, including antimicrobial peptides, in a protein sequence PeptideRanker Bioactive peptide, including antimicrobial peptide, prediction modlAMP Python package for computational work with antimicrobial peptides, including sequence handling, -design, -prediction, descriptor calculation and plotting
John J. Abel Award Julius Axelrod Award Pharmacia-ASPET Award in Experimental Therapeutics Robert R. Ruffolo Career Achievement Award Travel Award for Pharmacology Educators Bernard B. Brodie Award in Drug Metabolism P.B. Dews Lifetime Achievement Award for Research in Behavioral Pharmacology Drug Metabolism Early Career Achievement Award Goodman and Gilman Award in Receptor Pharmacology Benedict R. Lucchesi Distinguished Lectureship in Cardiac Pharmacology Torald Sollmann Award in Pharmacology Paul M. Vanhoutte Distinguished Lectureship in Cardiovascular Pharmacology Travel awards to participate in its meetings are also given to students and postdocs. Chemotherapy Clinical pharmacology Drug metabolism Neuropharmacology Pharmacology Toxicology Official website Molecular Interventions magazine
Vaccine therapies are a type of specific active immunotherapy. Vaccine therapies deliver various agents that will lead to a specific immune response e.g. antibody development or CTL response. Tumor antigens have been a main target in specific active immunotherapy by way of vaccination. Tumor antigens are antigens produced by tumor cells and can be common among patients with the same cancer-type, or unique to a particular patient. Their specificity to malignant tumor cells makes tumor antigens ideal candidates for vaccination. Cancer vaccine C-Met#Active immunotherapy, Mantle cell lymphoma Immunotherapy,
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Calcitonin gene-related peptide 2 (CGRP2), also called calcitonin related polypeptide beta, is a hormone that in humans is encoded by the CALCB gene (previously CALC2). Like the related hormone, calcitonin gene-related peptide 1 (CGRP1), this hormone induces vasodilation (relaxation of blood vessels) through the activation of the CGRP receptor. This form of calcitonin gene-related peptide is traditionally considered to be the primary form used in the enteric nervous system (nervous system in the gut). The gene that encodes CGRP1, CALCA, also encodes the blood-calcium-reducing hormone calcitonin, but despite its name, this protein is encoded by a distinct gene (CALCB). This hormone activates the CGRP receptor, which is a two protein (heterodimer) complex that is composed of RAMP1 and CALCRL.
ADAM (A Database of Anti-Microbial peptides) Archived 2015-06-17 at the Wayback Machine at ntou.edu.tw AntiFP Prediction of antifungal peptides AntiMPmod Prediction of antimicrobial potential of modified peptides Antimicrobial+Cationic+Peptides at the U.S. National Library of Medicine Medical Subject Headings (MeSH) AntiTbPred Prediction of anti-tuberculosis peptides Antimicrobial Peptide Database Archived 2011-07-20 at the Wayback Machine at University of Nebraska Medical Center Antimicrobial Peptide Scanner Deep Learning based AMP prediction server AntiTbPdb Anti Tubercular Peptide Database BioPD[link removed] at Peking University Health Science Center CAMP:Collection of Anti-Microbial Peptides at National Institute for Research in Reproductive Health (NIRRH) DBAASP - Database of Antimicrobial Activity and Structure of Peptides] LAMP at Fudan University PeptideLocator Prediction of functional peptides, including antimicrobial peptides, in a protein sequence PeptideRanker Bioactive peptide, including antimicrobial peptide, prediction modlAMP Python package for computational work with antimicrobial peptides, including sequence handling, -design, -prediction, descriptor calculation and plotting
Ethane-1,2-dithiol, also known as EDT, is a colorless liquid with the formula C2H4(SH)2. It has a very characteristic odor which is compared by many people to rotten cabbage. It is a common building block in organic synthesis and an excellent ligand for metal ions. Ethane-1,2-dithiol is made commercially by the reaction of 1,2-dichloroethane with aqueous sodium bisulfide. In the laboratory, it can also be prepared by the action of 1,2-dibromoethane on thiourea followed by hydrolysis. 1,2-Ethanedithiol is a weak acid, typical of alkyl thiols. In the presence of base and an alkylating agent, 1,2-ethanedithiol converts to thioethers: HS(CH2)2SH + 2 NR3 + 2 R'I → R'S(CH2)2SR' + 2 [R3NH]I Oxidation of 1,2-ethanedithiol gives a series of oligomers, including the cyclic bis(disulfide). As a 1,2-dithiol, this compound reacts with aldehydes and ketones to give 1,3-dithiolanes, which can be useful intermediates.
The use of trapezoidal rule in AUC calculation was known in literature by no later than 1975, in J.G. Wagner's Fundamentals of Clinical Pharmacokinetics. A 1977 article compares the "classical" trapezoidal method to a number of methods that take into account the typical shape of the concentration plot, caused by first-order kinetics. Notwithstanding the above knowledge, a 1994 Diabetes Care article by Mary M. Tai entitled "A Mathematical Model for the Determination of Total Area Under Glucose Tolerance and Other Metabolic Curves" purports to have independently discovered the trapezoidal rule. In Tai's response to the later letters to the editors, she explained that the rule was new to her colleagues, who relied on grid-counting. Tai's paper has been discussed as a case of scholarly peer review failure. Despite the number of mathematically superior numerical integration schemes (such as those outlined in Wagner & Ayres 1977), the trapezoidal rule remains the convention for AUC calculation. Later focus on improving the accuracy of AUC calculation shifted from improving the method to improving the sampling scheme. An example is a 2019 algorithm known as OTTER: it performs a fit onto sum of exponentials curve for the input data but only uses it to suggest better sample times by finding more highly sloped periods.
From 2002 to 2004, Pinhasov carried out postdoctoral research at Johnson & Johnson Pharmaceutical Research and Development (Spring House, Pennsylvania, United States), where under the guidance of Dr. Douglas Brenneman he was engaged in the development of drugs for the treatment of neurodegenerative diseases. In 2005, Pinhasov joined the Department of Molecular Biology at Ariel University (formerly the College of Judea and Samaria) as an assistant professor. He was Head of the department from 2008 to 2014. In 2014, Pinhasov was appointed Vice-President and Dean of Research & Development at Ariel University, holding this position until 2020. In 2020 the Senate of Ariel University elected Professor Pinhasov as the Rector of Ariel University, succeeding Professor Michael Zinigrad, who held this office for 12 years. In September 2023, in recognition of his contribution to academic ties between Israel and Kazakhstan, the Senate of Astana Medical University (AMU) awarded Prof. Albert Pinhasov the title of honorary professor.
Sources: en.wikipedia.org
When measured by fatalities per person transported, however, buses are the safest form of transportation. The number of air travel fatalities per person are surpassed only by bicycles and motorcycles. This statistic is used by the insurance industry when calculating insurance rates for air travel. For every billion kilometers traveled, trains have a fatality rate that is 12 times higher than that of air travel, and the fatality rate for automobiles is 62 times greater than for air travel. By contrast, for every billion journeys taken, buses are the safest form of transportation; using this measure, air travel is three times more dangerous than car transportation, and almost 30 times more dangerous than travelling by bus. A 2007 study by Popular Mechanics magazine found that passengers sitting at the back of an aeroplane are 40% more likely to survive a crash than those sitting at the front. The article quotes Boeing, the FAA, and a website on aircraft safety, all of which claim that there is no "safest" seat. The study examined 20 crashes, not taking into account the developments in safety after those accidents. However, a flight data recorder is usually mounted in the aircraft's empennage (tail section) where it is more likely to survive a severe crash. Between 1983 and 2000, the survival rate for people in U.S. plane crashes was greater than 95 percent.
ATC code H01 Pituitary and hypothalamic hormones and analogues is a therapeutic subgroup of the Anatomical Therapeutic Chemical Classification System, a system of alphanumeric codes developed by the World Health Organization (WHO) for the classification of drugs and other medical products. Subgroup H01 is part of the anatomical group H Systemic hormonal preparations, excluding sex hormones and insulins. Codes for veterinary use (ATCvet codes) can be created by placing the letter Q in front of the human ATC code: for example, QH01. ATCvet codes without corresponding human ATC codes are cited with the leading Q in the following list.National versions of the ATC classification may include additional codes not present in this list, which follows the WHO version. H01AA01 Corticotropin H01AA02 Tetracosactide H01AB01 Thyrotropin alfa H01AC01 Somatropin H01AC02 Somatrem H01AC03 Mecasermin H01AC04 Sermorelin H01AC05 Mecasermin rinfabate H01AC06 Tesamorelin H01AC07 Somapacitan H01AC08 Somatrogon H01AC09 Lonapegsomatropin H01AX01 Pegvisomant QH01AX90 Capromorelin
Klibanski became chief of the Neuroendocrine Unit at Massachusetts General Hospital, studying hormones and neuroendocrinology with a focus on hypopituitarism and pituitary tumors. Her clinical research has also examined the effects of hypothalamic and pituitary disorders on body composition and bone density, including bone loss associated with anorexia nervosa and growth hormone deficiency. In 1997, Klibanski became the first woman from Mass General's Department of Medicine to become a professor of medicine at Harvard. She has authored more than 350 peer-reviewed papers and book chapters and has received the Endocrine Society Clinical Investigator Award and the Clinical Endocrinology Trust Medal from the Society for Endocrinology. Klibanski has served on the National Institute of Diabetes and Digestive and Kidney Diseases Board of Counselors and the editorial board of the Journal of Clinical Endocrinology and Metabolism, and is a past president of the Pituitary Society. She established the Center for Faculty Development at Massachusetts General Hospital and mentored more than fifty women, for which she received the Endocrine Society's Outstanding Mentor Award.
Analysis of molecular variance (AMOVA), is a statistical model for the molecular algorithm in a single species, typically biological. The name and model are inspired by ANOVA. The method was developed by Laurent Excoffier, Peter Smouse and Joseph Quattro at Rutgers University in 1992. Since developing AMOVA, Excoffier has written a program for running such analyses. This program, which runs on Windows, is called Arlequin and is freely available on Excoffier's website. There are also implementations in R language in the ade4 and the pegas packages, both available on CRAN (Comprehensive R Archive Network). Another implementation is in Info-Gen, which also runs on Windows. The student version is free and fully functional. Native language of the application is Spanish but an English version is also available. An additional free statistical package, GenAlEx, is geared toward teaching as well as research and allows for complex genetic analyses to be employed and compared within the commonly used Microsoft Excel interface. This software allows for calculation of analyses such as AMOVA, as well as comparisons with other types of closely related statistics including F-statistics and Shannon's index, and more.
Sources: en.wikipedia.org
Yes. Lyophilization and freeze-drying are synonyms for the same vacuum-assisted sublimation process. The term lyophilization is more common in pharmaceutical and laboratory settings, while freeze-drying is widely used in food and general contexts.
Reduced pressure lowers the boiling point of water and allows ice to sublime below its triple point. Without sufficient vacuum, melting or boiling may occur instead of sublimation, which can damage the product structure.
Heat and mass transfer limit drying once the ice front recedes. The dried layer insulates the frozen core and resists vapor flow, so increasing shelf temperature too quickly can cause collapse or meltback.
Primary drying removes ice by sublimation under vacuum. Secondary drying removes water that is bound to the material, often by warming the product after most ice has left. Both stages occur below temperatures that would cause unwanted melting.