| IVOD_ID |
163195 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163195 |
| 日期 |
2025-07-17 |
| 會議資料.會議代碼 |
委員會-11-3-26-21 |
| 會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第21次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
3 |
| 會議資料.會次 |
21 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
26 |
| 會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
| 會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第21次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-07-17T12:38:08+08:00 |
| 結束時間 |
2025-07-17T12:50:47+08:00 |
| 影片長度 |
00:12:39 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1404c3f0fc5b9857a3570ccc0237565a7e529aa6299d4c22bf5d88cf2e24a70ecbf5781e8931119d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
陳瑩 |
| 委員發言時間 |
12:38:08 - 12:50:47 |
| 會議時間 |
2025-07-17T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第21次全體委員會議（事由：邀請衛生福利部部長、勞動部部長、財政部部長、農業部針對「因應嚴重災情、緊急重大事件，醫療院所承擔救護量能困境及因應台美關稅談判對台灣食品安全相關影響」進行專題報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
3.47346875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
12.75471875 |
| transcript.pyannote[1].end |
15.84284375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
16.95659375 |
| transcript.pyannote[2].end |
18.18846875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
19.94346875 |
| transcript.pyannote[3].end |
21.41159375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
29.08971875 |
| transcript.pyannote[4].end |
44.19284375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
29.19096875 |
| transcript.pyannote[5].end |
29.49471875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
44.78346875 |
| transcript.pyannote[6].end |
48.07409375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
48.20909375 |
| transcript.pyannote[7].end |
57.25409375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
60.71346875 |
| transcript.pyannote[8].end |
61.37159375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
61.60784375 |
| transcript.pyannote[9].end |
62.02971875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
62.92409375 |
| transcript.pyannote[10].end |
64.84784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
64.37534375 |
| transcript.pyannote[11].end |
65.08409375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
65.45534375 |
| transcript.pyannote[12].end |
69.11721875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
67.54784375 |
| transcript.pyannote[13].end |
68.22284375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
68.27346875 |
| transcript.pyannote[14].end |
90.63284375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
91.10534375 |
| transcript.pyannote[15].end |
91.66221875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
92.03346875 |
| transcript.pyannote[16].end |
95.35784375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
95.84721875 |
| transcript.pyannote[17].end |
97.60221875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
97.95659375 |
| transcript.pyannote[18].end |
99.45846875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
99.96471875 |
| transcript.pyannote[19].end |
101.36534375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
103.39034375 |
| transcript.pyannote[20].end |
104.03159375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
105.04409375 |
| transcript.pyannote[21].end |
107.13659375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
107.69346875 |
| transcript.pyannote[22].end |
108.85784375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
109.44846875 |
| transcript.pyannote[23].end |
109.98846875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
110.51159375 |
| transcript.pyannote[24].end |
111.13596875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
111.67596875 |
| transcript.pyannote[25].end |
133.17471875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
133.68096875 |
| transcript.pyannote[26].end |
134.20409375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
136.19534375 |
| transcript.pyannote[27].end |
141.54471875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
140.32971875 |
| transcript.pyannote[28].end |
145.67909375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
145.84784375 |
| transcript.pyannote[29].end |
150.70784375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
150.89346875 |
| transcript.pyannote[30].end |
151.45034375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
151.75409375 |
| transcript.pyannote[31].end |
172.76346875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
173.23596875 |
| transcript.pyannote[32].end |
179.27721875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
180.61034375 |
| transcript.pyannote[33].end |
180.93096875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
181.74096875 |
| transcript.pyannote[34].end |
184.72784375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
184.81221875 |
| transcript.pyannote[35].end |
185.35221875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
185.45346875 |
| transcript.pyannote[36].end |
189.63846875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
189.36846875 |
| transcript.pyannote[37].end |
189.40221875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
189.67221875 |
| transcript.pyannote[38].end |
205.97346875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
206.58096875 |
| transcript.pyannote[39].end |
222.07221875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
222.46034375 |
| transcript.pyannote[40].end |
229.90221875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
230.12159375 |
| transcript.pyannote[41].end |
262.47096875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
262.92659375 |
| transcript.pyannote[42].end |
273.03471875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
273.79409375 |
| transcript.pyannote[43].end |
297.03096875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
298.11096875 |
| transcript.pyannote[44].end |
305.28284375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
305.72159375 |
| transcript.pyannote[45].end |
306.53159375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
306.97034375 |
| transcript.pyannote[46].end |
308.67471875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
309.02909375 |
| transcript.pyannote[47].end |
313.29846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
313.56846875 |
| transcript.pyannote[48].end |
316.82534375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
317.46659375 |
| transcript.pyannote[49].end |
319.49159375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
319.60971875 |
| transcript.pyannote[50].end |
329.12721875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
329.41409375 |
| transcript.pyannote[51].end |
330.96659375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
330.54471875 |
| transcript.pyannote[52].end |
365.03721875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
365.37471875 |
| transcript.pyannote[53].end |
371.73659375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
372.29346875 |
| transcript.pyannote[54].end |
379.98846875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
380.61284375 |
| transcript.pyannote[55].end |
381.08534375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
381.69284375 |
| transcript.pyannote[56].end |
385.23659375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
385.43909375 |
| transcript.pyannote[57].end |
388.29096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
388.66221875 |
| transcript.pyannote[58].end |
417.07971875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
417.43409375 |
| transcript.pyannote[59].end |
418.00784375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
418.24409375 |
| transcript.pyannote[60].end |
427.96409375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
428.89221875 |
| transcript.pyannote[61].end |
429.55034375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
430.20846875 |
| transcript.pyannote[62].end |
431.76096875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
432.38534375 |
| transcript.pyannote[63].end |
434.49471875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
435.27096875 |
| transcript.pyannote[64].end |
451.20096875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
451.63971875 |
| transcript.pyannote[65].end |
452.92221875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
452.46659375 |
| transcript.pyannote[66].end |
468.75096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
469.62846875 |
| transcript.pyannote[67].end |
476.14221875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
476.22659375 |
| transcript.pyannote[68].end |
480.74909375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
480.88409375 |
| transcript.pyannote[69].end |
482.57159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
483.43221875 |
| transcript.pyannote[70].end |
488.83221875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
489.01784375 |
| transcript.pyannote[71].end |
498.78846875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
499.56471875 |
| transcript.pyannote[72].end |
500.05409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
501.96096875 |
| transcript.pyannote[73].end |
504.08721875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
504.45846875 |
| transcript.pyannote[74].end |
506.24721875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
506.51721875 |
| transcript.pyannote[75].end |
509.79096875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
510.17909375 |
| transcript.pyannote[76].end |
515.62971875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
514.21221875 |
| transcript.pyannote[77].end |
514.56659375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
515.20784375 |
| transcript.pyannote[78].end |
517.67159375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
517.95846875 |
| transcript.pyannote[79].end |
519.35909375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
519.57846875 |
| transcript.pyannote[80].end |
544.92471875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
545.38034375 |
| transcript.pyannote[81].end |
549.31221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
549.51471875 |
| transcript.pyannote[82].end |
550.13909375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
550.25721875 |
| transcript.pyannote[83].end |
558.55971875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
559.31909375 |
| transcript.pyannote[84].end |
572.85284375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
573.39284375 |
| transcript.pyannote[85].end |
576.66659375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
577.22346875 |
| transcript.pyannote[86].end |
577.64534375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
578.86034375 |
| transcript.pyannote[87].end |
580.75034375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
581.32409375 |
| transcript.pyannote[88].end |
600.37596875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
600.74721875 |
| transcript.pyannote[89].end |
603.83534375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
604.15596875 |
| transcript.pyannote[90].end |
611.68221875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
612.25596875 |
| transcript.pyannote[91].end |
618.49971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
619.12409375 |
| transcript.pyannote[92].end |
622.19534375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
622.97159375 |
| transcript.pyannote[93].end |
623.32596875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
623.44409375 |
| transcript.pyannote[94].end |
625.78971875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
626.36346875 |
| transcript.pyannote[95].end |
635.61096875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
635.94846875 |
| transcript.pyannote[96].end |
637.11284375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
637.29846875 |
| transcript.pyannote[97].end |
639.52596875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
639.72846875 |
| transcript.pyannote[98].end |
651.01784375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
651.01784375 |
| transcript.pyannote[99].end |
677.78159375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
677.95034375 |
| transcript.pyannote[100].end |
678.45659375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
678.92909375 |
| transcript.pyannote[101].end |
728.45721875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
728.96346875 |
| transcript.pyannote[102].end |
748.58909375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
748.90971875 |
| transcript.pyannote[103].end |
750.91784375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
751.47471875 |
| transcript.pyannote[104].end |
754.98471875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
754.78221875 |
| transcript.pyannote[105].end |
755.38971875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
756.30096875 |
| transcript.pyannote[106].end |
756.82409375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
757.33034375 |
| transcript.pyannote[107].end |
759.74346875 |
| transcript.whisperx[0].start |
0.069 |
| transcript.whisperx[0].end |
3.211 |
| transcript.whisperx[0].text |
好 謝謝主席 麻煩請我們食藥署 江署長補充 先休息一下 |
| transcript.whisperx[1].start |
30.648 |
| transcript.whisperx[1].end |
57.063 |
| transcript.whisperx[1].text |
在你們所屬業務裡面有一個包裝醬油製程的標示規定目前醬油的標示規定大概也分成這幾類有速成醬油、水解醬油、混合調和醬油跟釀造醬油我想要請教就是說在這四種類別的醬油裡面哪一種類別的醬油售價是最高的 |
| transcript.whisperx[2].start |
60.674 |
| transcript.whisperx[2].end |
62.159 |
| transcript.whisperx[2].text |
鮑爾園 |
| transcript.whisperx[3].start |
62.964 |
| transcript.whisperx[3].end |
90.366 |
| transcript.whisperx[3].text |
很久沒有買醬油猜的好了那個應該是釀造醬油因為是最傳統的古法你真的蠻聰明的真的確實是這個釀造的醬油價格是最高的因為雖然這幾種醬油它的這個原料都相同但是釀造的時間最長時間就是金錢所以釀造醬油是售價最高的那那我再請教你你那麼聰明再猜猜看 |
| transcript.whisperx[4].start |
91.207 |
| transcript.whisperx[4].end |
101.394 |
| transcript.whisperx[4].text |
在這四個類別裡面在市面上哪一個有一個類別已經是不存在的你知道是哪個類別嗎我猜是右下角的速成是不是還是速成醬油猜一下 |
| transcript.whisperx[5].start |
109.52 |
| transcript.whisperx[5].end |
133.792 |
| transcript.whisperx[5].text |
好對果然能夠當食藥署署長頭腦還是不簡單確實這個速成醬油在市面上是已經不存在很久的事情那現在我要請教你這麼聰明的食藥署署長那請問既然已經不存在的類別為什麼你們類別裡面現在還存在這樣子的一個分類 |
| transcript.whisperx[6].start |
136.226 |
| transcript.whisperx[6].end |
151.055 |
| transcript.whisperx[6].text |
你要繼續保存呢還是要這個已經不存在的這個我回去檢討一下他的必要性之後再跟委員做進一步報告好你那麼聰明應該知道要怎麼做啦就已經沒有了好那 |
| transcript.whisperx[7].start |
152.796 |
| transcript.whisperx[7].end |
178.868 |
| transcript.whisperx[7].text |
再來過去衛福部在109年曾經有一項醬油產品監測委託辦理計畫雖然當時您不是食藥署署長但是這份報告對於現階段的包裝醬油製程的標示規範規定有很重要的參考價值我想了解就是說你們後來有沒有新的執行計畫或報告出來 |
| transcript.whisperx[8].start |
182.59 |
| transcript.whisperx[8].end |
199.867 |
| transcript.whisperx[8].text |
這個計畫之後是沒有再進行另外的計畫好那就是維持原來的就沒有新的嘛是的好我記得說這份報告裡面其實我們主要是要解決是否以果醣酸低於0.1%作為標示釀造醬油的依據那檢測結果我們來看一下 |
| transcript.whisperx[9].start |
207.137 |
| transcript.whisperx[9].end |
229.558 |
| transcript.whisperx[9].text |
在108件我们国产的酿造酱油里面全部都没有检测到果糖酸出来那29件国外输入的样本27件未检出那有一件是低于0.1%那只有一件是超标的 |
| transcript.whisperx[10].start |
230.479 |
| transcript.whisperx[10].end |
250.14 |
| transcript.whisperx[10].text |
這樣的結果顯示出我們台灣自己生產的釀造醬油都很棒都沒有問題那可是呢如果因此我們這樣去要求這些釀造醬油廠商必須要自己去標示說他們都沒有 |
| transcript.whisperx[11].start |
250.6 |
| transcript.whisperx[11].end |
272.599 |
| transcript.whisperx[11].text |
含沒有這個果糖酸的這個含量或者是果糖酸低於0.1%那除了這個增加這個檢測的成本之外呢其他他們這個標示也都要全部都改我想這個是一個不太合理的一個要求那因為 |
| transcript.whisperx[12].start |
273.86 |
| transcript.whisperx[12].end |
296.503 |
| transcript.whisperx[12].text |
通常要人家主動證明沒有的東西就好像一個無罪的人要證明自己的清白我想一般大家都無罪推論啦那有罪你就是要去提出證據來嘛所以我想這樣的行政規定我不曉得合不合理我不知道這個署長看法怎麼樣 |
| transcript.whisperx[13].start |
298.374 |
| transcript.whisperx[13].end |
315.751 |
| transcript.whisperx[13].text |
就果醣酸因為我看這個圖表因為之前同仁們在這個報告裡面有特別跟我報告過那因為食品安全還是以科學分析的基礎如果我管制上面用0.1它能夠涵蓋的解釋度大概是92% |
| transcript.whisperx[14].start |
317.546 |
| transcript.whisperx[14].end |
340.697 |
| transcript.whisperx[14].text |
所以造成了一些會有一些些影響雖然說我們國內的醬油是0.1%的話釀造醬油的確都是符合的但是如果是這樣切下去就會產生一個效果我想後續接下來我們會我想這個已經開始慢慢要進入到去我們會去討論到這個靈敏度跟那個特異度的問題 |
| transcript.whisperx[15].start |
342.358 |
| transcript.whisperx[15].end |
371.36 |
| transcript.whisperx[15].text |
我想在这份报告就是另外的结果也有显示就是说有另外两种的这个水解跟调和酱油我们再继续看29个水解酱油有8个果糖酸未减出或低于0.1%那29个调和酱油有10个未减出或低于0.1%所以如果以果糖酸作为标示酿造酱油的关键指标 |
| transcript.whisperx[16].start |
372.361 |
| transcript.whisperx[16].end |
378.596 |
| transcript.whisperx[16].text |
那我們看18個水解跟調和醬油可不可以標示為釀造醬油 |
| transcript.whisperx[17].start |
380.663 |
| transcript.whisperx[17].end |
405.594 |
| transcript.whisperx[17].text |
因為這個數據這樣子顯示我們反過來講那如果他可以標示如果規定是這樣那他標示了釀造醬油這個價格馬上就翻倍了剛剛署長馬上就猜說釀造醬油應該是最貴的現在大家都知道了那本來或許這些業者也沒有想要標示為這個釀造醬油的意圖 |
| transcript.whisperx[18].start |
407.495 |
| transcript.whisperx[18].end |
434.2 |
| transcript.whisperx[18].text |
但是如果你們強制做了這樣的規定之後呢漏洞出來了他們反而可以就是說違反規定就是讓價格翻倍也會變成是沒有違規的問題了我在這裡特別提出這樣子的推論不知道署長認不認同委員這個講得非常非常精準因為就我的 |
| transcript.whisperx[19].start |
435.502 |
| transcript.whisperx[19].end |
450.75 |
| transcript.whisperx[19].text |
市場的稽查的時候如果以這個標準去當稽查那的確他一線切下來他小於0.1如果他標示說他是釀造的我們很難去做後續判斷他真的釀造或者是 |
| transcript.whisperx[20].start |
452.291 |
| transcript.whisperx[20].end |
468.466 |
| transcript.whisperx[20].text |
所以我現在特別點出這樣子的問題那看來食藥署都有弄懂了那我想問題的本質在於沒有的你們要人家自己去證明自己沒有那 |
| transcript.whisperx[21].start |
470.09 |
| transcript.whisperx[21].end |
498.248 |
| transcript.whisperx[21].text |
卻反而開了一扇門讓他們讓這些就是說可能或許未來變成有機會不違規的去做不正確的標示那我想就是說我也是有點想不通啦所以說這樣子去改變醬油的標示那我不曉得這個意義到底在哪裡除了增加成本給出模糊的空間以外到底還有什麼就是說有利於民眾的好處 |
| transcript.whisperx[22].start |
499.605 |
| transcript.whisperx[22].end |
527.416 |
| transcript.whisperx[22].text |
有嗎目前我們針對這個議題其實持續在研議也邀請一些專家委員來協助我們去做該如何去的確果醣酸單一的很困難當作是一個判斷因為醬油我們每天每天這麼多人在吃那現在是這樣我舉個例子好了就像早期這個紅標米酒的原料它也 |
| transcript.whisperx[23].start |
528.917 |
| transcript.whisperx[23].end |
548.819 |
| transcript.whisperx[23].text |
應該不是早期啦我是說紅標米酒的原料它也有參入這個食品級的鹽酸那經過發酵蒸餾之後它就完全就去除了難道我們也一樣要要求紅標米酒變成鹽酸米酒嗎你家變成鹽酸米酒我想大家看了這個字眼應該都不敢買了吧 |
| transcript.whisperx[24].start |
549.6 |
| transcript.whisperx[24].end |
577.292 |
| transcript.whisperx[24].text |
那在特別在監察院110年8月23號的函文裡面這個有特別提醒你們說在把這個食品安全衛生管理法第28條第一項規定食品標示不得有不實誇張或異生誤解之情形所以我拿監察院特別再提醒你們的這個條文再提醒你們一次因為 |
| transcript.whisperx[25].start |
578.905 |
| transcript.whisperx[25].end |
598.115 |
| transcript.whisperx[25].text |
在這個水解過程中使用鹽酸那醬油販售成為商品之後它也就都沒有鹽酸了那還要要求廠商來標示說鹽酸水解醬油或者酸水解醬油我覺得這個是讓民眾 |
| transcript.whisperx[26].start |
601.576 |
| transcript.whisperx[26].end |
625.524 |
| transcript.whisperx[26].text |
看了會卻步的事情所以這樣子的要求其實是很擾民的啦那我不知道就是說署長你新上任你就大力要來支持這樣子的一個規定還是說你有什麼樣比較合理的一個想法跟看法因為我很怕你們被逼著違法耶 |
| transcript.whisperx[27].start |
626.537 |
| transcript.whisperx[27].end |
650.792 |
| transcript.whisperx[27].text |
報告委員這邊因為不管我們的鹽酸或者我們之前其他的叫做氫鹽也就是酸鹼平衡裡面的氫氧化鈉都是所謂的加工注劑這加工注劑在國際間的規範在我們在標示的部分其實是沒有強制這樣子的標示那要因為已經的確是五委員所說的化學反應之後最後他其實是沒有特別鹽酸的存在 |
| transcript.whisperx[28].start |
651.152 |
| transcript.whisperx[28].end |
677.37 |
| transcript.whisperx[28].text |
沒有就不用再要求人家寫了吧我想本席是絕對要會支持就是說我們要有正確的標示還有關鍵指標建立那既然 署長你又是這個台大的這個醫學院的教授好的指標必須要同時要符合這個我剛剛前面講的靈敏度跟他的特異度都要高同時都要高那所以這份報告在你們沒有新的數據出來之前他 |
| transcript.whisperx[29].start |
679.011 |
| transcript.whisperx[29].end |
693.018 |
| transcript.whisperx[29].text |
我們現在有的也就是一個最新的參考數據所以結果是證明說以果醣酸當釀造醬油的關鍵判定指標它是存在有這個特異度高靈敏度不到七成的問題 |
| transcript.whisperx[30].start |
694.259 |
| transcript.whisperx[30].end |
716.733 |
| transcript.whisperx[30].text |
所以我想今天整個質詢我必須點出這個那全世界也都沒有其他國家有做這樣的規定所以除非你們有最新的數據支持不然我們要貿然去改變這樣的一個標示一定要有很明確的目的跟依據不然你們就是為了管制而管制了那除了增加業者的成本 |
| transcript.whisperx[31].start |
717.954 |
| transcript.whisperx[31].end |
737.633 |
| transcript.whisperx[31].text |
也是就是說業者提高了這個醬油的價格然後到頭來最後傷害的還是我們民眾的荷包甚至影響到物價上揚所以我最後請就請你們就是說醬油製就是說這個醬油製造為釀造醬油以果醣酸為標示重新檢討那並於這個 |
| transcript.whisperx[32].start |
740.416 |
| transcript.whisperx[32].end |
754.866 |
| transcript.whisperx[32].text |
就是說我讓你們有很長的時間六個月一年都可以你們就是好好研究然後提出報告之後再來做這個定論好不好好謝謝委員我們再去進一步的研究分析謝謝謝謝謝謝陳委員謝謝署長 |