Calculating the nutrient composition of recipes with computers
The objective of this research project was to compare the nutrient values computed by four commonly used computerized recipe calculation methods. The four methods compared were the yield factor, retention factor, summing, and simplified retention factor methods. Two versions of the summing method we...
Gespeichert in:
Veröffentlicht in: | Journal of the American Dietetic Association 1989-02, Vol.89 (2), p.224-232 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 232 |
---|---|
container_issue | 2 |
container_start_page | 224 |
container_title | Journal of the American Dietetic Association |
container_volume | 89 |
creator | Powers, P.M Hoover, L.W |
description | The objective of this research project was to compare the nutrient values computed by four commonly used computerized recipe calculation methods. The four methods compared were the yield factor, retention factor, summing, and simplified retention factor methods. Two versions of the summing method were modeled. Four pork entree recipes were selected for analysis: roast pork, pork and noodle casserole, panbroiled pork chops, and pork chops with vegetables. Assumptions were made about changes expected to occur in the ingredients during preparation and cooking. Models were designed to simulate the algorithms of the calculation methods using a microcomputer spreadsheet software package. Identical results were generated in the yield factor, retention factor, and summing-cooked models for roast pork. The retention factor and summing-cooked models also produced identical results for the recipe for pan-broiled pork chops. The summing-raw model gave the highest value for water in all four recipes and the lowest values for most of the other nutrients. A superior method or methods was not identified. However, on the basis of the capabilities provided with the yield factor and retention factor methods, more serious consideration of these two methods is recommended. |
doi_str_mv | 10.1016/S0002-8223(21)02100-3 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_78856622</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A7427945</galeid><sourcerecordid>A7427945</sourcerecordid><originalsourceid>FETCH-LOGICAL-c460t-5108c8878e2dac1b656e34b592ca3fcbfa50f35f6d82ac9cdc21640e6247853</originalsourceid><addsrcrecordid>eNptkV1rFDEUhoModbv6E4qDF1bR0XxMMpkboSxahQUvVq9DNnMyTZlJtkkG9d-b_aColFyE5H3OOe_hReiC4PcEE_FhgzGmtaSUvabkDaYE45o9QgsiW1kz3uLHaHGPPEXnKd2WJ-YEn6Ez2hGOO75AH1d6NPOos_NDlW-g8nOODnyuTJh2Ibnsgq-CrSIYt4NU_XT55qDNGWJ6hp5YPSZ4frqXaPP50_fVl3r97frr6mpdm0bgXJeh0shiDGivDdkKLoA1W95Ro5k1W6s5toxb0UuqTWd6Q4loMAjatJKzJXp17LqL4W6GlNXkkoFx1B7CnFQrJReirLlEL_8Db8McfXGmKJENp5LhAr09QoMeQTlvQ47aDOAh6jF4sK58X7UNbbtmP_vdA3Q5PUzOPIBf_oMXIsOvPOg5JSWv13-T_EiaGFKKYNUuuknH34pgtU9YHRJW-_iKe3VIWLFSd3Hacd5O0N9XnSIt-oujbnVQeoguqR8bignDVMimk4T9AVzBqIk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>218452830</pqid></control><display><type>article</type><title>Calculating the nutrient composition of recipes with computers</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Powers, P.M ; Hoover, L.W</creator><creatorcontrib>Powers, P.M ; Hoover, L.W</creatorcontrib><description>The objective of this research project was to compare the nutrient values computed by four commonly used computerized recipe calculation methods. The four methods compared were the yield factor, retention factor, summing, and simplified retention factor methods. Two versions of the summing method were modeled. Four pork entree recipes were selected for analysis: roast pork, pork and noodle casserole, panbroiled pork chops, and pork chops with vegetables. Assumptions were made about changes expected to occur in the ingredients during preparation and cooking. Models were designed to simulate the algorithms of the calculation methods using a microcomputer spreadsheet software package. Identical results were generated in the yield factor, retention factor, and summing-cooked models for roast pork. The retention factor and summing-cooked models also produced identical results for the recipe for pan-broiled pork chops. The summing-raw model gave the highest value for water in all four recipes and the lowest values for most of the other nutrients. A superior method or methods was not identified. However, on the basis of the capabilities provided with the yield factor and retention factor methods, more serious consideration of these two methods is recommended.</description><identifier>ISSN: 0002-8223</identifier><identifier>ISSN: 2212-2672</identifier><identifier>EISSN: 1878-3570</identifier><identifier>EISSN: 2212-2680</identifier><identifier>DOI: 10.1016/S0002-8223(21)02100-3</identifier><identifier>PMID: 2915095</identifier><identifier>CODEN: JADAAE</identifier><language>eng</language><publisher>United States: Elsevier Science Publishers</publisher><subject>Algorithms ; Animals ; calculation methods ; Composition ; computer analysis ; Computers ; Dietetics ; Evaluation ; Food ; Food Handling ; Health aspects ; Information management ; Mathematical Computing ; Meat ; nutrient content ; Nutrition ; Nutritive Value ; Product/Service Evaluations ; Recipes ; Swine ; Vegetables</subject><ispartof>Journal of the American Dietetic Association, 1989-02, Vol.89 (2), p.224-232</ispartof><rights>COPYRIGHT 1989 Elsevier Science Publishers</rights><rights>Copyright American Dietetic Association Feb 1989</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-5108c8878e2dac1b656e34b592ca3fcbfa50f35f6d82ac9cdc21640e6247853</citedby><cites>FETCH-LOGICAL-c460t-5108c8878e2dac1b656e34b592ca3fcbfa50f35f6d82ac9cdc21640e6247853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/2915095$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Powers, P.M</creatorcontrib><creatorcontrib>Hoover, L.W</creatorcontrib><title>Calculating the nutrient composition of recipes with computers</title><title>Journal of the American Dietetic Association</title><addtitle>J Am Diet Assoc</addtitle><description>The objective of this research project was to compare the nutrient values computed by four commonly used computerized recipe calculation methods. The four methods compared were the yield factor, retention factor, summing, and simplified retention factor methods. Two versions of the summing method were modeled. Four pork entree recipes were selected for analysis: roast pork, pork and noodle casserole, panbroiled pork chops, and pork chops with vegetables. Assumptions were made about changes expected to occur in the ingredients during preparation and cooking. Models were designed to simulate the algorithms of the calculation methods using a microcomputer spreadsheet software package. Identical results were generated in the yield factor, retention factor, and summing-cooked models for roast pork. The retention factor and summing-cooked models also produced identical results for the recipe for pan-broiled pork chops. The summing-raw model gave the highest value for water in all four recipes and the lowest values for most of the other nutrients. A superior method or methods was not identified. However, on the basis of the capabilities provided with the yield factor and retention factor methods, more serious consideration of these two methods is recommended.</description><subject>Algorithms</subject><subject>Animals</subject><subject>calculation methods</subject><subject>Composition</subject><subject>computer analysis</subject><subject>Computers</subject><subject>Dietetics</subject><subject>Evaluation</subject><subject>Food</subject><subject>Food Handling</subject><subject>Health aspects</subject><subject>Information management</subject><subject>Mathematical Computing</subject><subject>Meat</subject><subject>nutrient content</subject><subject>Nutrition</subject><subject>Nutritive Value</subject><subject>Product/Service Evaluations</subject><subject>Recipes</subject><subject>Swine</subject><subject>Vegetables</subject><issn>0002-8223</issn><issn>2212-2672</issn><issn>1878-3570</issn><issn>2212-2680</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkV1rFDEUhoModbv6E4qDF1bR0XxMMpkboSxahQUvVq9DNnMyTZlJtkkG9d-b_aColFyE5H3OOe_hReiC4PcEE_FhgzGmtaSUvabkDaYE45o9QgsiW1kz3uLHaHGPPEXnKd2WJ-YEn6Ez2hGOO75AH1d6NPOos_NDlW-g8nOODnyuTJh2Ibnsgq-CrSIYt4NU_XT55qDNGWJ6hp5YPSZ4frqXaPP50_fVl3r97frr6mpdm0bgXJeh0shiDGivDdkKLoA1W95Ro5k1W6s5toxb0UuqTWd6Q4loMAjatJKzJXp17LqL4W6GlNXkkoFx1B7CnFQrJReirLlEL_8Db8McfXGmKJENp5LhAr09QoMeQTlvQ47aDOAh6jF4sK58X7UNbbtmP_vdA3Q5PUzOPIBf_oMXIsOvPOg5JSWv13-T_EiaGFKKYNUuuknH34pgtU9YHRJW-_iKe3VIWLFSd3Hacd5O0N9XnSIt-oujbnVQeoguqR8bignDVMimk4T9AVzBqIk</recordid><startdate>19890201</startdate><enddate>19890201</enddate><creator>Powers, P.M</creator><creator>Hoover, L.W</creator><general>Elsevier Science Publishers</general><general>Elsevier Limited</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8GL</scope><scope>7QP</scope><scope>7TS</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>19890201</creationdate><title>Calculating the nutrient composition of recipes with computers</title><author>Powers, P.M ; Hoover, L.W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-5108c8878e2dac1b656e34b592ca3fcbfa50f35f6d82ac9cdc21640e6247853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>calculation methods</topic><topic>Composition</topic><topic>computer analysis</topic><topic>Computers</topic><topic>Dietetics</topic><topic>Evaluation</topic><topic>Food</topic><topic>Food Handling</topic><topic>Health aspects</topic><topic>Information management</topic><topic>Mathematical Computing</topic><topic>Meat</topic><topic>nutrient content</topic><topic>Nutrition</topic><topic>Nutritive Value</topic><topic>Product/Service Evaluations</topic><topic>Recipes</topic><topic>Swine</topic><topic>Vegetables</topic><toplevel>online_resources</toplevel><creatorcontrib>Powers, P.M</creatorcontrib><creatorcontrib>Hoover, L.W</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: High School</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Dietetic Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Powers, P.M</au><au>Hoover, L.W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calculating the nutrient composition of recipes with computers</atitle><jtitle>Journal of the American Dietetic Association</jtitle><addtitle>J Am Diet Assoc</addtitle><date>1989-02-01</date><risdate>1989</risdate><volume>89</volume><issue>2</issue><spage>224</spage><epage>232</epage><pages>224-232</pages><issn>0002-8223</issn><issn>2212-2672</issn><eissn>1878-3570</eissn><eissn>2212-2680</eissn><coden>JADAAE</coden><abstract>The objective of this research project was to compare the nutrient values computed by four commonly used computerized recipe calculation methods. The four methods compared were the yield factor, retention factor, summing, and simplified retention factor methods. Two versions of the summing method were modeled. Four pork entree recipes were selected for analysis: roast pork, pork and noodle casserole, panbroiled pork chops, and pork chops with vegetables. Assumptions were made about changes expected to occur in the ingredients during preparation and cooking. Models were designed to simulate the algorithms of the calculation methods using a microcomputer spreadsheet software package. Identical results were generated in the yield factor, retention factor, and summing-cooked models for roast pork. The retention factor and summing-cooked models also produced identical results for the recipe for pan-broiled pork chops. The summing-raw model gave the highest value for water in all four recipes and the lowest values for most of the other nutrients. A superior method or methods was not identified. However, on the basis of the capabilities provided with the yield factor and retention factor methods, more serious consideration of these two methods is recommended.</abstract><cop>United States</cop><pub>Elsevier Science Publishers</pub><pmid>2915095</pmid><doi>10.1016/S0002-8223(21)02100-3</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0002-8223 |
ispartof | Journal of the American Dietetic Association, 1989-02, Vol.89 (2), p.224-232 |
issn | 0002-8223 2212-2672 1878-3570 2212-2680 |
language | eng |
recordid | cdi_proquest_miscellaneous_78856622 |
source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
subjects | Algorithms Animals calculation methods Composition computer analysis Computers Dietetics Evaluation Food Food Handling Health aspects Information management Mathematical Computing Meat nutrient content Nutrition Nutritive Value Product/Service Evaluations Recipes Swine Vegetables |
title | Calculating the nutrient composition of recipes with computers |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T04%3A01%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Calculating%20the%20nutrient%20composition%20of%20recipes%20with%20computers&rft.jtitle=Journal%20of%20the%20American%20Dietetic%20Association&rft.au=Powers,%20P.M&rft.date=1989-02-01&rft.volume=89&rft.issue=2&rft.spage=224&rft.epage=232&rft.pages=224-232&rft.issn=0002-8223&rft.eissn=1878-3570&rft.coden=JADAAE&rft_id=info:doi/10.1016/S0002-8223(21)02100-3&rft_dat=%3Cgale_proqu%3EA7427945%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=218452830&rft_id=info:pmid/2915095&rft_galeid=A7427945&rfr_iscdi=true |